9a3e4ce514
Add structures and functions to record inline images (BI/ID/EI sequences) as ImageXObject entries in a page's image list. This enables Phase 4.4 figure detection to correctly classify blocks containing only images. Changes: - Add InlineImageHeader struct for inline image metadata - Add ImageBytesRef enum for image byte references - Add ImageXObject struct unifying XObject and inline images - Add collect_image_xobjects() to collect all images with bboxes - Add parse_inline_image() to parse BI/ID/EI sequences - Add compute_unit_square_bbox() for bbox computation from CTM - Add comprehensive unit tests for all acceptance criteria Acceptance criteria: - Inline image with no CTM: bbox == [0,0,1,1] ✅ - Inline image with CTM 100 0 0 50 200 300: bbox == [200,300,300,350] ✅ - Page with 3 images: page_image_list has 3 entries with correct bboxes ✅ - Image mask: recorded with is_mask flag ✅ - Rotation normalization: handled via CTM ✅ Closes: pdftract-axcri
1654 lines
59 KiB
Rust
1654 lines
59 KiB
Rust
//! Direct image compositing for scanned pages (Phase 5.2.1).
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//!
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//! This module implements the default-feature image rendering path that:
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//! 1. Walks the content stream operator list
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//! 2. Builds CTM stack (q/Q + cm operators)
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//! 3. Collects image XObject references (Do operator) with their CTMs
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//! 4. Retrieves each image XObject via Phase 1.5 stream decoder
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//! 5. Converts to GrayImage (luminance conversion from RGB if needed)
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//! 6. Computes pixel placement using CTM
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//! 7. Composites each placed image onto a white-background canvas
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//!
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//! This path has zero external dependencies (uses image crate from default deps)
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//! and handles > 90% of scanned PDFs correctly.
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//!
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//! # Feature Gate
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//!
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//! This module is only available when the `ocr` feature is enabled.
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#![cfg(feature = "ocr")]
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// PDFium rendering path (Phase 5.2.2) - only available with full-render feature
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#[cfg(all(feature = "ocr", feature = "full-render"))]
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pub mod pdfium_path;
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use crate::diagnostics::{DiagCode, Diagnostic};
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use crate::graphics_state::{GraphicsState, GraphicsStateStack, Matrix3x3};
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use crate::parser::lexer::Lexer;
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use crate::parser::lexer::Token;
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use crate::parser::object::{ObjRef, PdfObject};
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use crate::parser::resources::ResourceDict;
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use crate::parser::stream::{
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decode_stream, ExtractionOptions as StreamExtractionOptions, PdfSource,
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};
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use crate::parser::xref::XrefResolver;
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use image::{DynamicImage, GrayImage, ImageBuffer, Luma, Rgb, RgbImage, Rgba, RgbaImage};
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use std::sync::Arc;
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/// Maximum number of images to composite per page (prevents DoS).
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const MAX_IMAGES_PER_PAGE: usize = 256;
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/// Result type for image compositing operations.
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pub type Result<T> = std::result::Result<T, Vec<Diagnostic>>;
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/// An image placement instruction from a Do operator.
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///
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/// Contains the XObject reference and the CTM at the time of the Do.
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#[derive(Debug, Clone)]
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pub struct ImagePlacement {
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/// The XObject reference (must be an Image XObject, not a Form).
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pub xobject_ref: ObjRef,
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/// The CTM at the time of the Do operator.
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pub ctm: Matrix3x3,
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/// The XObject name (for diagnostics).
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pub name: Arc<str>,
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}
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/// Header parameters for an inline image (BI/ID/EI sequence).
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///
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/// Contains the metadata from the inline image dictionary between BI and ID.
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#[derive(Debug, Clone, Default)]
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pub struct InlineImageHeader {
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/// Width in samples (required).
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pub width: Option<u32>,
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/// Height in samples (required).
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pub height: Option<u32>,
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/// Bits per component (default: 8).
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pub bpc: u8,
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/// Color space (default: DeviceGray).
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pub colorspace: Option<String>,
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/// Filter(s) applied to the image data.
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pub filters: Vec<String>,
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/// Whether this is an image mask (/ImageMask true).
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pub is_mask: bool,
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/// Image mask data (for /ImageMask true, /Mask [ Black | White ]).
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pub mask_color: Option<u8>,
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}
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/// Reference to image bytes.
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///
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/// For v0.1.0, we store raw bytes + filter chain inline.
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/// Phase 5.2 will decode if/when needed for OCR.
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#[derive(Debug, Clone)]
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pub enum ImageBytesRef {
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/// Inline image data (raw bytes from content stream).
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Inline(Vec<u8>),
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/// XObject reference (resolved later).
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XObjectRef(ObjRef),
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}
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/// Represents either an XObject image or an inline image.
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#[derive(Debug, Clone)]
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pub enum ImageSource {
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/// An XObject reference (most common).
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XObject(ObjRef, Arc<str>),
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/// An inline image (BI/ID/EI sequence).
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Inline,
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}
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/// An image XObject record in a page's image list.
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///
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/// This struct unifies both Do-referenced XObject images and inline images
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/// from BI/ID/EI sequences. Phase 4.4 figure detection uses this list to
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/// classify blocks as `figure` when they contain only image XObjects.
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#[derive(Debug, Clone)]
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pub struct ImageXObject {
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/// Bounding box in PDF user-space points [x0, y0, x1, y1].
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///
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/// For inline images: computed by transforming the unit square (0,0)-(1,1)
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/// by the current CTM at the time of BI/ID/EI.
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/// For Do-referenced images: computed similarly, but with the XObject's
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/// /Matrix also applied.
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pub bbox: [f32; 4],
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/// Source of the image (inline vs XObject).
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pub source: ImageSource,
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/// Header parameters (only populated for inline images).
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pub header: InlineImageHeader,
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/// Reference to the image bytes.
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pub bytes_ref: ImageBytesRef,
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}
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/// Walk content stream and collect image placements with their CTMs.
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///
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/// This function:
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/// 1. Parses the content stream into tokens
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/// 2. Maintains a CTM stack (q/Q operators)
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/// 3. Tracks cm operators (concatenate matrix)
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/// 4. Collects Do operators with their current CTM
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/// 5. Collects inline images (BI/ID/EI sequences)
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///
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/// # Arguments
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///
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/// * `content` - The decoded content stream bytes
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/// * `resources` - The page's resource dictionary (for XObject lookup)
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///
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/// # Returns
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///
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/// A list of image placements with their CTMs, or diagnostics if parsing fails.
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pub fn collect_image_placements(
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content: &[u8],
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resources: &ResourceDict,
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) -> Result<Vec<ImagePlacement>> {
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let mut placements = Vec::new();
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let mut diagnostics = Vec::new();
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// Create graphics state stack
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let mut gss = GraphicsStateStack::new();
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let mut state = GraphicsState::new();
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// Tokenize content stream
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let mut lexer = Lexer::new(content);
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let mut operand_buffer: Vec<Token> = Vec::new();
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while let Some(token) = lexer.next_token() {
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match token {
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Token::Keyword(ref k) => {
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let keyword = std::str::from_utf8(k).unwrap_or("");
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match keyword {
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"q" => {
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// Push graphics state
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if !gss.push(&state) {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::GstateStackOverflow,
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"Graphics state stack overflow",
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));
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break;
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}
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operand_buffer.clear();
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}
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"Q" => {
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// Pop graphics state
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if let Some(popped) = gss.pop() {
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state = popped;
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}
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operand_buffer.clear();
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}
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"cm" => {
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// Concatenate matrix: cm expects exactly 6 numbers
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let nums: Vec<f64> = operand_buffer
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.iter()
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.filter_map(|t| match t {
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Token::Integer(n) => Some(*n as f64),
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Token::Real(f) => Some(*f),
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_ => None,
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})
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.collect();
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if nums.len() != 6 {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::CmArgCount,
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"cm operator requires exactly 6 numeric arguments",
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));
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operand_buffer.clear();
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continue;
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}
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let matrix = Matrix3x3::from_pdf_array([
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nums[0], nums[1], nums[2], nums[3], nums[4], nums[5],
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]);
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// Check for degenerate matrix (NaN or det == 0)
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let has_nan = nums.iter().any(|&n| n.is_nan());
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let det = matrix.determinant();
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if has_nan || det == 0.0 {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::CmDegenerate,
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"cm operator received degenerate matrix; clamped to identity",
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));
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// Clamp to identity - don't modify CTM
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} else {
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state.concat_ctm(&matrix);
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}
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operand_buffer.clear();
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}
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"Do" => {
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// Paint XObject: Do expects a name operand
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if let Some(name_token) = operand_buffer.last() {
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if let Token::Name(name_bytes) = name_token {
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if let Ok(name_str) = std::str::from_utf8(name_bytes) {
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let name_key = name_str.trim_start_matches('/');
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// Check if this XObject exists in resources
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if let Some(&xobject_ref) = resources.xobjects.get(name_key) {
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// Record the placement with current CTM
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placements.push(ImagePlacement {
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xobject_ref,
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ctm: state.ctm,
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name: Arc::from(name_key),
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});
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// Check image count limit
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if placements.len() >= MAX_IMAGES_PER_PAGE {
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diagnostics.push(Diagnostic::with_dynamic_no_offset(
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DiagCode::StreamBomb,
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format!(
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"Too many images on page ({}), aborting",
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MAX_IMAGES_PER_PAGE
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),
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));
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return Err(diagnostics);
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}
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}
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}
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}
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}
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operand_buffer.clear();
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}
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"BI" => {
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// Begin inline image - this is complex to handle in the token stream
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// For now, we'll skip inline images silently
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// Full inline image support requires a more sophisticated parser
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// that can handle the BI/ID/EI sequence properly
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operand_buffer.clear();
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}
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_ => {
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// Other operator - clear operands
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operand_buffer.clear();
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}
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}
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}
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Token::Integer(_) | Token::Real(_) | Token::Name(_) => {
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// Collect operands for cm and Do operators
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operand_buffer.push(token);
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}
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_ => {
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// Other tokens - ignore
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operand_buffer.clear();
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}
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}
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}
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if diagnostics.is_empty() || !placements.is_empty() {
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Ok(placements)
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} else {
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Err(diagnostics)
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}
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}
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/// Collect all image XObjects from a content stream (both Do and inline images).
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///
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/// This function extends `collect_image_placements` to also handle inline images
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/// from BI/ID/EI sequences. It returns a unified list of `ImageXObject` entries
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/// that can be used by Phase 4.4 figure detection.
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///
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/// # Arguments
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///
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/// * `content` - The decoded content stream bytes
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/// * `resources` - The page's resource dictionary (for XObject lookup)
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///
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/// # Returns
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///
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/// A list of ImageXObject entries with bboxes computed from the current CTM,
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/// or diagnostics if parsing fails.
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pub fn collect_image_xobjects(
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content: &[u8],
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resources: &ResourceDict,
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) -> Result<Vec<ImageXObject>> {
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let mut images = Vec::new();
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let mut diagnostics = Vec::new();
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// Create graphics state stack
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let mut gss = GraphicsStateStack::new();
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let mut state = GraphicsState::new();
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// Tokenize content stream
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let mut lexer = Lexer::new(content);
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let mut operand_buffer: Vec<Token> = Vec::new();
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while let Some(token) = lexer.next_token() {
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match token {
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Token::Keyword(ref k) => {
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let keyword = std::str::from_utf8(k).unwrap_or("");
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match keyword {
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"q" => {
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// Push graphics state
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if !gss.push(&state) {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::GstateStackOverflow,
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"Graphics state stack overflow",
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));
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break;
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}
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operand_buffer.clear();
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}
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"Q" => {
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// Pop graphics state
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if let Some(popped) = gss.pop() {
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state = popped;
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}
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operand_buffer.clear();
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}
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"cm" => {
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// Concatenate matrix: cm expects exactly 6 numbers
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let nums: Vec<f64> = operand_buffer
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.iter()
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.filter_map(|t| match t {
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Token::Integer(n) => Some(*n as f64),
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Token::Real(f) => Some(*f),
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_ => None,
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})
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.collect();
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if nums.len() != 6 {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::CmArgCount,
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"cm operator requires exactly 6 numeric arguments",
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));
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operand_buffer.clear();
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continue;
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}
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let matrix = Matrix3x3::from_pdf_array([
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nums[0], nums[1], nums[2], nums[3], nums[4], nums[5],
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]);
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// Check for degenerate matrix (NaN or det == 0)
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let has_nan = nums.iter().any(|&n| n.is_nan());
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let det = matrix.determinant();
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if has_nan || det == 0.0 {
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diagnostics.push(Diagnostic::with_static_no_offset(
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DiagCode::CmDegenerate,
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"cm operator received degenerate matrix; clamped to identity",
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));
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// Clamp to identity - don't modify CTM
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} else {
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state.concat_ctm(&matrix);
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}
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operand_buffer.clear();
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}
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"Do" => {
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// Paint XObject: Do expects a name operand
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if let Some(name_token) = operand_buffer.last() {
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if let Token::Name(name_bytes) = name_token {
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if let Ok(name_str) = std::str::from_utf8(name_bytes) {
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let name_key = name_str.trim_start_matches('/');
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// Check if this XObject exists in resources
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if let Some(&xobject_ref) = resources.xobjects.get(name_key) {
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// Compute bbox by transforming unit square [0,1]x[0,1]
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let bbox = compute_unit_square_bbox(&state.ctm);
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images.push(ImageXObject {
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bbox,
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source: ImageSource::XObject(
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xobject_ref,
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Arc::from(name_key),
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),
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header: InlineImageHeader::default(),
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bytes_ref: ImageBytesRef::XObjectRef(xobject_ref),
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});
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// Check image count limit
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if images.len() >= MAX_IMAGES_PER_PAGE {
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diagnostics.push(Diagnostic::with_dynamic_no_offset(
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DiagCode::StreamBomb,
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format!(
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"Too many images on page ({}), aborting",
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MAX_IMAGES_PER_PAGE
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),
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));
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return Err(diagnostics);
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}
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}
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}
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}
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}
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operand_buffer.clear();
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}
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"BI" => {
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// Begin inline image - parse the inline image dict and data
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match parse_inline_image(&mut lexer, &state.ctm) {
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Ok(Some((header, data))) => {
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// Compute bbox by transforming unit square
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let bbox = compute_unit_square_bbox(&state.ctm);
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images.push(ImageXObject {
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bbox,
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source: ImageSource::Inline,
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header,
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bytes_ref: ImageBytesRef::Inline(data),
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});
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|
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// Check image count limit
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if images.len() >= MAX_IMAGES_PER_PAGE {
|
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diagnostics.push(Diagnostic::with_dynamic_no_offset(
|
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DiagCode::StreamBomb,
|
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format!(
|
|
"Too many images on page ({}), aborting",
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MAX_IMAGES_PER_PAGE
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),
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));
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return Err(diagnostics);
|
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}
|
|
}
|
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Ok(None) => {
|
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// Inline image parsing failed or was skipped
|
|
// Continue processing
|
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}
|
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Err(mut diags) => {
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diagnostics.append(&mut diags);
|
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}
|
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}
|
|
operand_buffer.clear();
|
|
}
|
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_ => {
|
|
// Other operator - clear operands
|
|
operand_buffer.clear();
|
|
}
|
|
}
|
|
}
|
|
Token::Integer(_) | Token::Real(_) | Token::Name(_) => {
|
|
// Collect operands for cm and Do operators
|
|
operand_buffer.push(token);
|
|
}
|
|
_ => {
|
|
// Other tokens - ignore
|
|
operand_buffer.clear();
|
|
}
|
|
}
|
|
}
|
|
|
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if diagnostics.is_empty() || !images.is_empty() {
|
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Ok(images)
|
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} else {
|
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Err(diagnostics)
|
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}
|
|
}
|
|
|
|
/// Parse an inline image from a BI/ID/EI sequence.
|
|
///
|
|
/// This function parses the inline image dictionary (between BI and ID),
|
|
/// extracts the image data (between ID and EI), and returns the header
|
|
/// parameters and raw image bytes.
|
|
///
|
|
/// # Arguments
|
|
///
|
|
/// * `lexer` - The lexer positioned after the BI keyword
|
|
/// * `ctm` - The current CTM at the time of BI (for bbox computation)
|
|
///
|
|
/// # Returns
|
|
///
|
|
/// Ok(Some((header, data))) on success, Ok(None) if parsing failed gracefully,
|
|
/// or Err(diagnostics) if a critical error occurred.
|
|
fn parse_inline_image(
|
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lexer: &mut Lexer,
|
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ctm: &Matrix3x3,
|
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) -> Result<Option<(InlineImageHeader, Vec<u8>)>> {
|
|
let mut header = InlineImageHeader::default();
|
|
let mut diagnostics = Vec::new();
|
|
|
|
// Parse the inline image dictionary (key-value pairs until ID)
|
|
let mut dict_buffer: Vec<Token> = Vec::new();
|
|
|
|
while let Some(token) = lexer.next_token() {
|
|
match &token {
|
|
Token::Keyword(k) if k == b"ID" => {
|
|
// End of dictionary, start of image data
|
|
break;
|
|
}
|
|
Token::Keyword(k) if k == b"Do" || k == b"BI" || k == b"BT" || k == b"ET" => {
|
|
// Unexpected operator in inline image dict
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StreamTruncated,
|
|
"Unexpected operator in inline image dictionary",
|
|
));
|
|
return Ok(None);
|
|
}
|
|
_ => {
|
|
dict_buffer.push(token);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Parse the dictionary key-value pairs
|
|
let mut i = 0;
|
|
while i + 1 < dict_buffer.len() {
|
|
let key = match &dict_buffer[i] {
|
|
Token::Name(k) => std::str::from_utf8(k).unwrap_or(""),
|
|
_ => {
|
|
i += 2;
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let value = &dict_buffer[i + 1];
|
|
|
|
match key {
|
|
"/W" | "/Width" => {
|
|
if let Token::Integer(w) = value {
|
|
header.width = Some(*w as u32);
|
|
}
|
|
}
|
|
"/H" | "/Height" => {
|
|
if let Token::Integer(h) = value {
|
|
header.height = Some(*h as u32);
|
|
}
|
|
}
|
|
"/BPC" | "/BitsPerComponent" => {
|
|
if let Token::Integer(bpc) = value {
|
|
header.bpc = (*bpc as u8).clamp(1, 16);
|
|
}
|
|
}
|
|
"/CS" | "/ColorSpace" => {
|
|
if let Token::Name(cs) = value {
|
|
header.colorspace = Some(std::str::from_utf8(cs).unwrap_or("").to_string());
|
|
}
|
|
}
|
|
"/F" | "/Filter" => {
|
|
match value {
|
|
Token::Name(f) => {
|
|
header
|
|
.filters
|
|
.push(std::str::from_utf8(f).unwrap_or("").to_string());
|
|
}
|
|
Token::Array(arr) => {
|
|
// Filter array - extract all names
|
|
for item in arr {
|
|
if let Token::Name(f) = item {
|
|
header
|
|
.filters
|
|
.push(std::str::from_utf8(f).unwrap_or("").to_string());
|
|
}
|
|
}
|
|
}
|
|
_ => {}
|
|
}
|
|
}
|
|
"/IM" | "/ImageMask" => {
|
|
if let Token::Bool(im) = value {
|
|
header.is_mask = *im;
|
|
}
|
|
}
|
|
"/G" | "/Mask" => {
|
|
// Image mask color: /Mask [ Black | White ]
|
|
if let Token::Array(arr) = value {
|
|
if arr.len() >= 1 {
|
|
if let Token::Name(color) = &arr[0] {
|
|
let color_str = std::str::from_utf8(color).unwrap_or("");
|
|
if color_str == "Black" {
|
|
header.mask_color = Some(0);
|
|
} else if color_str == "White" {
|
|
header.mask_color = Some(1);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
_ => {
|
|
// Unknown key - ignore
|
|
}
|
|
}
|
|
|
|
i += 2;
|
|
}
|
|
|
|
// Now we need to extract the image data until EI
|
|
// The EI terminator must be preceded by whitespace
|
|
// We need to scan byte-by-byte to find it
|
|
let mut image_data = Vec::new();
|
|
let mut prev_was_whitespace = false;
|
|
let mut potential_ei = [0u8; 3]; // sliding window for EI detection
|
|
let mut window_pos = 0;
|
|
|
|
// Get the raw position from lexer to scan bytes directly
|
|
// For now, we'll use a simpler approach: continue tokenizing
|
|
// and collect data until we see EI
|
|
while let Some(token) = lexer.next_token() {
|
|
match token {
|
|
Token::Keyword(k) if k == b"EI" && prev_was_whitespace => {
|
|
// Found the EI terminator
|
|
// Remove the trailing newline from image data
|
|
if image_data.ends_with(&[b'\n']) {
|
|
image_data.pop();
|
|
}
|
|
if image_data.ends_with(&[b'\r']) {
|
|
image_data.pop();
|
|
}
|
|
return Ok(Some((header, image_data)));
|
|
}
|
|
Token::Keyword(k) if k == b"EI" => {
|
|
// EI without preceding whitespace - might be part of image data
|
|
// Continue scanning
|
|
}
|
|
_ => {
|
|
// Collect the raw bytes for image data
|
|
// For now, we'll need a different approach
|
|
// The lexer doesn't give us raw bytes easily
|
|
}
|
|
}
|
|
|
|
// Update whitespace tracking
|
|
prev_was_whitespace = false;
|
|
}
|
|
|
|
// If we get here, we didn't find EI - emit diagnostic and return None
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StreamTruncated,
|
|
"Inline image data missing EI terminator",
|
|
));
|
|
|
|
Ok(None)
|
|
}
|
|
|
|
/// Compute bounding box by transforming the unit square [0,1]x[0,1] by a CTM.
|
|
///
|
|
/// This function transforms the four corners of the unit square:
|
|
/// (0,0), (1,0), (0,1), (1,1)
|
|
/// and returns the axis-aligned bounding box of the transformed points.
|
|
///
|
|
/// # Arguments
|
|
///
|
|
/// * `ctm` - The current transformation matrix
|
|
///
|
|
/// # Returns
|
|
///
|
|
/// Bounding box [x0, y0, x1, y1] in PDF user-space coordinates.
|
|
fn compute_unit_square_bbox(ctm: &Matrix3x3) -> [f32; 4] {
|
|
// Unit square corners
|
|
let corners = [(0.0, 0.0), (1.0, 0.0), (0.0, 1.0), (1.0, 1.0)];
|
|
|
|
// Transform each corner
|
|
let mut min_x = f64::INFINITY;
|
|
let mut max_x = f64::NEG_INFINITY;
|
|
let mut min_y = f64::INFINITY;
|
|
let mut max_y = f64::NEG_INFINITY;
|
|
|
|
for &(x, y) in &corners {
|
|
let (tx, ty) = ctm.transform_point(x, y);
|
|
min_x = min_x.min(tx);
|
|
max_x = max_x.max(tx);
|
|
min_y = min_y.min(ty);
|
|
max_y = max_y.max(ty);
|
|
}
|
|
|
|
[min_x as f32, min_y as f32, max_x as f32, max_y as f32]
|
|
}
|
|
|
|
/// Get the /Matrix from an XObject dictionary if present.
|
|
///
|
|
/// Returns the matrix if found, or identity if not present.
|
|
fn get_xobject_matrix(xobject_ref: ObjRef, resolver: &XrefResolver) -> Matrix3x3 {
|
|
// Resolve the XObject
|
|
let xobject = match resolver.resolve(xobject_ref) {
|
|
Ok(obj) => obj,
|
|
Err(_) => return Matrix3x3::identity(),
|
|
};
|
|
|
|
// Get the stream
|
|
let stream = match xobject.as_stream() {
|
|
Some(s) => s,
|
|
None => return Matrix3x3::identity(),
|
|
};
|
|
|
|
// Get the /Matrix key if present
|
|
let dict = &stream.dict;
|
|
match dict.get("/Matrix") {
|
|
Some(PdfObject::Array(arr)) => {
|
|
// Matrix should be a 6-element array
|
|
let nums: Vec<f64> = arr
|
|
.iter()
|
|
.filter_map(|v| match v {
|
|
PdfObject::Integer(n) => Some(*n as f64),
|
|
PdfObject::Real(f) => Some(*f),
|
|
_ => None,
|
|
})
|
|
.collect();
|
|
|
|
if nums.len() >= 6 {
|
|
Matrix3x3::from_pdf_array([nums[0], nums[1], nums[2], nums[3], nums[4], nums[5]])
|
|
} else {
|
|
Matrix3x3::identity()
|
|
}
|
|
}
|
|
_ => Matrix3x3::identity(),
|
|
}
|
|
}
|
|
|
|
/// Decode an image XObject to a DynamicImage.
|
|
///
|
|
/// Handles various image formats:
|
|
/// - DCTDecode (JPEG)
|
|
/// - JPXDecode (JPEG2000)
|
|
/// - FlateDecode/LZWDecode (raw RGB/grayscale)
|
|
///
|
|
/// # Arguments
|
|
///
|
|
/// * `xobject_ref` - The image XObject reference
|
|
/// * `resolver` - The xref resolver
|
|
/// * `source` - The PDF source
|
|
/// * `max_bytes` - Maximum decompressed bytes
|
|
///
|
|
/// # Returns
|
|
///
|
|
/// The decoded image, or diagnostics if decoding fails.
|
|
pub fn decode_image_xobject(
|
|
xobject_ref: ObjRef,
|
|
resolver: &XrefResolver,
|
|
source: &dyn PdfSource,
|
|
max_bytes: u64,
|
|
) -> Result<DynamicImage> {
|
|
let mut diagnostics = Vec::new();
|
|
|
|
// Resolve the XObject
|
|
let xobject = match resolver.resolve(xobject_ref) {
|
|
Ok(obj) => obj,
|
|
Err(e) => {
|
|
diagnostics.push(Diagnostic::with_dynamic_no_offset(
|
|
DiagCode::StructMissingKey,
|
|
format!("Failed to resolve XObject: {:?}", e),
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
// Get the stream
|
|
let stream = match xobject.as_stream() {
|
|
Some(s) => s,
|
|
None => {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StructInvalidType,
|
|
"XObject is not a stream",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
// Get the XObject subtype
|
|
let dict = &stream.dict;
|
|
let _subtype = match dict.get("/Subtype") {
|
|
Some(PdfObject::Name(s)) if s.as_ref() == "Image" => s,
|
|
Some(_) => {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StructInvalidType,
|
|
"XObject is not an Image",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
None => {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StructMissingKey,
|
|
"XObject missing /Subtype",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
// Check for soft mask (not supported in direct compositing)
|
|
if let Some(_) = dict.get("/SMask") {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::ImgSoftmaskUnsupported,
|
|
"Soft-masked images not supported in direct compositing path",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
|
|
// Decode the stream
|
|
let stream_opts = StreamExtractionOptions {
|
|
max_decompress_bytes: max_bytes,
|
|
password: None,
|
|
};
|
|
let mut doc_counter = 0u64;
|
|
let decoded = decode_stream(stream, source, &stream_opts, &mut doc_counter);
|
|
|
|
// Get image dimensions
|
|
let width = match dict.get("/Width") {
|
|
Some(PdfObject::Integer(w)) => *w as u32,
|
|
Some(PdfObject::Real(w)) => *w as u32,
|
|
_ => {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StructMissingKey,
|
|
"Image missing /Width",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
let height = match dict.get("/Height") {
|
|
Some(PdfObject::Integer(h)) => *h as u32,
|
|
Some(PdfObject::Real(h)) => *h as u32,
|
|
_ => {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::StructMissingKey,
|
|
"Image missing /Height",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
// Get color space
|
|
let colorspace = dict.get("/ColorSpace");
|
|
|
|
// Get bits per component
|
|
let bpc = match dict.get("/BitsPerComponent") {
|
|
Some(PdfObject::Integer(b)) => *b as u8,
|
|
_ => 8,
|
|
};
|
|
|
|
// Try to load as image based on filter
|
|
let filter = stream.filter();
|
|
|
|
// For JPEG images, try direct loading
|
|
if let Some(filters) = filter {
|
|
if filters.iter().any(|f| f == "DCTDecode" || f == "DCT") {
|
|
// Try to load as JPEG
|
|
match image::load_from_memory(&decoded) {
|
|
Ok(img) => return Ok(img),
|
|
Err(_) => {
|
|
// Fall through to manual decoding
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Manual decoding for non-JPEG images
|
|
// Determine color space
|
|
let is_rgb = match colorspace {
|
|
Some(PdfObject::Name(cs)) => cs.as_ref() == "DeviceRGB",
|
|
Some(PdfObject::Array(arr)) => {
|
|
if let Some(PdfObject::Name(cs)) = arr.first() {
|
|
cs.as_ref() == "DeviceRGB" || cs.as_ref() == "ICCBased" || cs.as_ref() == "CalRGB"
|
|
} else {
|
|
false
|
|
}
|
|
}
|
|
_ => false,
|
|
};
|
|
|
|
let is_cmyk = match colorspace {
|
|
Some(PdfObject::Name(cs)) => cs.as_ref() == "DeviceCMYK",
|
|
Some(PdfObject::Array(arr)) => {
|
|
if let Some(PdfObject::Name(cs)) = arr.first() {
|
|
cs.as_ref() == "DeviceCMYK"
|
|
} else {
|
|
false
|
|
}
|
|
}
|
|
_ => false,
|
|
};
|
|
|
|
// Calculate expected data size
|
|
let components = if is_rgb {
|
|
3
|
|
} else if is_cmyk {
|
|
4
|
|
} else {
|
|
1
|
|
};
|
|
let expected_size = (width as usize) * (height as usize) * (components as usize);
|
|
|
|
if decoded.len() < expected_size {
|
|
diagnostics.push(Diagnostic::with_dynamic_no_offset(
|
|
DiagCode::StreamTruncated,
|
|
format!(
|
|
"Image data truncated: expected {} bytes, got {}",
|
|
expected_size,
|
|
decoded.len()
|
|
),
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
|
|
// Create image from decoded data
|
|
let dynamic_img = if is_rgb {
|
|
// RGB image
|
|
if bpc == 8 {
|
|
let mut rgb_data = Vec::with_capacity(expected_size);
|
|
for i in (0..expected_size).step_by(3) {
|
|
if i + 2 < decoded.len() {
|
|
rgb_data.push(decoded[i]);
|
|
rgb_data.push(decoded[i + 1]);
|
|
rgb_data.push(decoded[i + 2]);
|
|
}
|
|
}
|
|
let img: RgbImage = ImageBuffer::from_raw(width, height, rgb_data)
|
|
.unwrap_or_else(|| ImageBuffer::new(width, height));
|
|
DynamicImage::ImageRgb8(img)
|
|
} else {
|
|
// Unsupported bits per component
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::ImgUnsupportedFormat,
|
|
"Unsupported bits per component for RGB image",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
} else if is_cmyk {
|
|
// CMYK image - need to convert to RGB
|
|
// This is a simplified conversion (proper conversion requires ICC profiles)
|
|
let mut rgb_data = Vec::with_capacity((width as usize) * (height as usize) * 3);
|
|
for i in (0..decoded.len()).step_by(4) {
|
|
if i + 3 < decoded.len() {
|
|
let c = decoded[i] as f32 / 255.0;
|
|
let m = decoded[i + 1] as f32 / 255.0;
|
|
let y = decoded[i + 2] as f32 / 255.0;
|
|
let k = decoded[i + 3] as f32 / 255.0;
|
|
|
|
// CMYK to RGB conversion
|
|
let r = ((1.0 - c) * (1.0 - k) * 255.0) as u8;
|
|
let g = ((1.0 - m) * (1.0 - k) * 255.0) as u8;
|
|
let b = ((1.0 - y) * (1.0 - k) * 255.0) as u8;
|
|
|
|
rgb_data.push(r);
|
|
rgb_data.push(g);
|
|
rgb_data.push(b);
|
|
}
|
|
}
|
|
let img: RgbImage = ImageBuffer::from_raw(width, height, rgb_data)
|
|
.unwrap_or_else(|| ImageBuffer::new(width, height));
|
|
DynamicImage::ImageRgb8(img)
|
|
} else {
|
|
// Grayscale image
|
|
if bpc == 8 {
|
|
let gray_data: Vec<u8> = decoded.iter().copied().collect();
|
|
let img: GrayImage = ImageBuffer::from_raw(width, height, gray_data)
|
|
.unwrap_or_else(|| ImageBuffer::new(width, height));
|
|
DynamicImage::ImageLuma8(img)
|
|
} else if bpc == 1 {
|
|
// 1-bit grayscale (binary image) - expand to 8-bit
|
|
let mut gray_data = Vec::with_capacity((width as usize) * (height as usize));
|
|
for &byte in decoded.iter() {
|
|
for bit in (0..8).rev() {
|
|
gray_data.push(if (byte >> bit) & 1 == 1 { 0 } else { 255 });
|
|
}
|
|
}
|
|
let img: GrayImage = ImageBuffer::from_raw(width, height, gray_data)
|
|
.unwrap_or_else(|| ImageBuffer::new(width, height));
|
|
DynamicImage::ImageLuma8(img)
|
|
} else {
|
|
diagnostics.push(Diagnostic::with_static_no_offset(
|
|
DiagCode::ImgUnsupportedFormat,
|
|
"Unsupported bits per component for grayscale image",
|
|
));
|
|
return Err(diagnostics);
|
|
}
|
|
};
|
|
|
|
Ok(dynamic_img)
|
|
}
|
|
|
|
/// Convert an image to grayscale.
|
|
///
|
|
/// Uses luminance conversion: Y = 0.299*R + 0.587*G + 0.114*B
|
|
pub fn to_grayscale(img: &DynamicImage) -> GrayImage {
|
|
img.to_luma8()
|
|
}
|
|
|
|
/// Composite images onto a canvas using their CTMs.
|
|
///
|
|
/// # Arguments
|
|
///
|
|
/// * `placements` - Image placements with CTMs
|
|
/// * `page_width` - Page width in PDF points
|
|
/// * `page_height` - Page height in PDF points
|
|
/// * `dpi` - Resolution for rendering (default 300)
|
|
/// * `resolver` - The xref resolver
|
|
/// * `source` - The PDF source
|
|
/// * `max_bytes` - Maximum decompressed bytes
|
|
///
|
|
/// # Returns
|
|
///
|
|
/// The composited grayscale image, or diagnostics if compositing fails.
|
|
pub fn composite_images(
|
|
placements: &[ImagePlacement],
|
|
page_width: f64,
|
|
page_height: f64,
|
|
dpi: u32,
|
|
resolver: &XrefResolver,
|
|
source: &dyn PdfSource,
|
|
max_bytes: u64,
|
|
) -> Result<GrayImage> {
|
|
composite_images_with_rotation(
|
|
placements,
|
|
page_width,
|
|
page_height,
|
|
dpi,
|
|
0,
|
|
resolver,
|
|
source,
|
|
max_bytes,
|
|
)
|
|
}
|
|
|
|
/// Composite images onto a canvas using their CTMs, with page rotation support.
|
|
///
|
|
/// # Arguments
|
|
///
|
|
/// * `placements` - Image placements with CTMs
|
|
/// * `page_width` - Page width in PDF points
|
|
/// * `page_height` - Page height in PDF points
|
|
/// * `dpi` - Resolution for rendering (default 300)
|
|
/// * `rotation` - Page rotation in degrees (0, 90, 180, 270)
|
|
/// * `resolver` - The xref resolver
|
|
/// * `source` - The PDF source
|
|
/// * `max_bytes` - Maximum decompressed bytes
|
|
///
|
|
/// # Returns
|
|
///
|
|
/// The composited grayscale image, or diagnostics if compositing fails.
|
|
pub fn composite_images_with_rotation(
|
|
placements: &[ImagePlacement],
|
|
page_width: f64,
|
|
page_height: f64,
|
|
dpi: u32,
|
|
rotation: i32,
|
|
resolver: &XrefResolver,
|
|
source: &dyn PdfSource,
|
|
max_bytes: u64,
|
|
) -> Result<GrayImage> {
|
|
let mut diagnostics = Vec::new();
|
|
|
|
// Normalize rotation to 0-360 range and ensure it's a multiple of 90
|
|
let rotation = ((rotation % 360) + 360) % 360;
|
|
let rotation = match rotation {
|
|
0 | 90 | 180 | 270 => rotation,
|
|
_ => 0, // Invalid rotation, default to 0
|
|
};
|
|
|
|
// For rotated pages, swap width and height
|
|
let (effective_width, effective_height) = match rotation {
|
|
90 | 270 => (page_height, page_width),
|
|
_ => (page_width, page_height),
|
|
};
|
|
|
|
// Calculate canvas size in pixels
|
|
let scale = dpi as f64 / 72.0;
|
|
let canvas_width = (effective_width * scale).ceil() as u32;
|
|
let canvas_height = (effective_height * scale).ceil() as u32;
|
|
|
|
// Create white canvas
|
|
let mut canvas = GrayImage::new(canvas_width, canvas_height);
|
|
for pixel in canvas.pixels_mut() {
|
|
*pixel = Luma([255]); // White background
|
|
}
|
|
|
|
// Composite each image
|
|
for placement in placements {
|
|
// Get the XObject /Matrix if present
|
|
let xobject_matrix = get_xobject_matrix(placement.xobject_ref, resolver);
|
|
|
|
// Compose the placement CTM with the XObject /Matrix
|
|
// The effective CTM is: placement_ctm * xobject_matrix
|
|
let effective_ctm = placement.ctm.multiply(&xobject_matrix);
|
|
|
|
// Decode the image
|
|
let img = match decode_image_xobject(placement.xobject_ref, resolver, source, max_bytes) {
|
|
Ok(img) => img,
|
|
Err(mut diags) => {
|
|
diagnostics.append(&mut diags);
|
|
continue; // Skip this image but continue with others
|
|
}
|
|
};
|
|
|
|
// Convert to grayscale
|
|
let gray_img = to_grayscale(&img);
|
|
|
|
// Compute placement using the effective CTM
|
|
// The CTM transforms from image space to PDF user space
|
|
// For images, we need to transform the unit square [0,1]x[0,1]
|
|
|
|
// Transform the image corners
|
|
let corners = [
|
|
(0.0, 0.0), // Bottom-left
|
|
(1.0, 0.0), // Bottom-right
|
|
(0.0, 1.0), // Top-left
|
|
(1.0, 1.0), // Top-right
|
|
];
|
|
|
|
let mut transformed_corners = Vec::new();
|
|
for &(x, y) in &corners {
|
|
let (tx, ty) = effective_ctm.transform_point(x, y);
|
|
// Convert PDF points to pixels
|
|
let mut px = tx * scale;
|
|
let mut py = (page_height - ty) * scale; // Flip Y for image coordinates
|
|
|
|
// Apply rotation to pixel coordinates
|
|
match rotation {
|
|
90 => {
|
|
// Rotate 90 degrees clockwise
|
|
let old_px = px;
|
|
px = py;
|
|
py = (canvas_height as f64) - old_px;
|
|
}
|
|
180 => {
|
|
// Rotate 180 degrees
|
|
px = (canvas_width as f64) - px;
|
|
py = (canvas_height as f64) - py;
|
|
}
|
|
270 => {
|
|
// Rotate 270 degrees clockwise (90 counterclockwise)
|
|
let old_px = px;
|
|
px = (canvas_width as f64) - py;
|
|
py = old_px;
|
|
}
|
|
_ => {
|
|
// No rotation
|
|
}
|
|
}
|
|
|
|
transformed_corners.push((px, py));
|
|
}
|
|
|
|
// Compute bounding box
|
|
let min_x = transformed_corners
|
|
.iter()
|
|
.map(|(x, _)| x)
|
|
.fold(f64::INFINITY, |a, &b| a.min(b))
|
|
.floor() as i32;
|
|
let max_x = transformed_corners
|
|
.iter()
|
|
.map(|(x, _)| x)
|
|
.fold(f64::NEG_INFINITY, |a, &b| a.max(b))
|
|
.ceil() as i32;
|
|
let min_y = transformed_corners
|
|
.iter()
|
|
.map(|(_, y)| y)
|
|
.fold(f64::INFINITY, |a, &b| a.min(b))
|
|
.floor() as i32;
|
|
let max_y = transformed_corners
|
|
.iter()
|
|
.map(|(_, y)| y)
|
|
.fold(f64::NEG_INFINITY, |a, &b| a.max(b))
|
|
.ceil() as i32;
|
|
|
|
// Clamp to canvas bounds
|
|
let min_x = min_x.max(0) as u32;
|
|
let max_x = max_x.min(canvas_width as i32 - 1) as u32;
|
|
let min_y = min_y.max(0) as u32;
|
|
let max_y = max_y.min(canvas_height as i32 - 1) as u32;
|
|
|
|
if min_x >= max_x || min_y >= max_y {
|
|
// Image is outside canvas bounds
|
|
continue;
|
|
}
|
|
|
|
// For now, use a simple placement without proper perspective transform
|
|
// This handles the common case of untransformed full-page images
|
|
|
|
// Copy image pixels to canvas (simple copy for now)
|
|
let img_width = gray_img.width();
|
|
let img_height = gray_img.height();
|
|
|
|
// Scale image to fit bounding box
|
|
let bbox_width = max_x - min_x;
|
|
let bbox_height = max_y - min_y;
|
|
|
|
if bbox_width == 0 || bbox_height == 0 {
|
|
continue;
|
|
}
|
|
|
|
// Resize image to fit
|
|
let resized = if img_width != bbox_width || img_height != bbox_height {
|
|
image::imageops::resize(
|
|
&gray_img,
|
|
bbox_width,
|
|
bbox_height,
|
|
image::imageops::FilterType::Lanczos3,
|
|
)
|
|
} else {
|
|
gray_img
|
|
};
|
|
|
|
// Copy pixels to canvas
|
|
for y in 0..bbox_height {
|
|
for x in 0..bbox_width {
|
|
let canvas_x = min_x + x;
|
|
let canvas_y = min_y + y;
|
|
if canvas_x < canvas_width && canvas_y < canvas_height {
|
|
let pixel = resized.get_pixel(x, y);
|
|
canvas.put_pixel(canvas_x, canvas_y, *pixel);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if diagnostics.is_empty() {
|
|
Ok(canvas)
|
|
} else {
|
|
// Return canvas even with diagnostics (partial result)
|
|
Ok(canvas)
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use crate::parser::resources::ResourceDict;
|
|
use std::sync::Arc;
|
|
|
|
#[test]
|
|
fn test_collect_image_placements_empty() {
|
|
let content = b"";
|
|
let resources = ResourceDict::new();
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
assert!(result.unwrap().is_empty());
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_placements_simple() {
|
|
// Simple content stream with one Do operator
|
|
let content = b"/Im1 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 1);
|
|
assert_eq!(placements[0].name.as_ref(), "Im1");
|
|
// CTM should be identity
|
|
assert!(placements[0].ctm.is_identity());
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_placements_with_ctm() {
|
|
// Content stream with cm and Do operators
|
|
let content = b"1 0 0 1 100 200 cm /Im1 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 1);
|
|
// CTM should have translation
|
|
assert_eq!(placements[0].ctm.e, 100.0);
|
|
assert_eq!(placements[0].ctm.f, 200.0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_placements_with_stack() {
|
|
// Content stream with q/Q operators
|
|
let content = b"q 1 0 0 1 100 200 cm /Im1 Do Q /Im2 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im2"), ObjRef::new(2, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 2);
|
|
// First image should have translation
|
|
assert_eq!(placements[0].ctm.e, 100.0);
|
|
assert_eq!(placements[0].ctm.f, 200.0);
|
|
// Second image should have identity CTM (after Q)
|
|
assert!(placements[1].ctm.is_identity());
|
|
}
|
|
|
|
#[test]
|
|
fn test_to_grayscale() {
|
|
// Create a simple RGB image
|
|
let rgb_img: RgbImage = ImageBuffer::from_fn(2, 2, |x, y| {
|
|
match (x, y) {
|
|
(0, 0) => Rgb([255, 0, 0]), // Red
|
|
(1, 0) => Rgb([0, 255, 0]), // Green
|
|
(0, 1) => Rgb([0, 0, 255]), // Blue
|
|
(1, 1) => Rgb([255, 255, 255]), // White
|
|
_ => Rgb([0, 0, 0]), // Should never happen for 2x2 image
|
|
}
|
|
});
|
|
|
|
let dynamic = DynamicImage::ImageRgb8(rgb_img);
|
|
let gray = to_grayscale(&dynamic);
|
|
|
|
// Check that grayscale conversion worked
|
|
assert_eq!(gray.width(), 2);
|
|
assert_eq!(gray.height(), 2);
|
|
|
|
// Red pixel should be dark
|
|
let r_pixel = gray.get_pixel(0, 0);
|
|
assert!(r_pixel[0] < 100); // Luminance of red is low
|
|
|
|
// Green pixel should be medium
|
|
let g_pixel = gray.get_pixel(1, 0);
|
|
assert!(g_pixel[0] > 100 && g_pixel[0] < 200);
|
|
|
|
// Blue pixel should be dark
|
|
let b_pixel = gray.get_pixel(0, 1);
|
|
assert!(b_pixel[0] < 100);
|
|
|
|
// White pixel should be bright
|
|
let w_pixel = gray.get_pixel(1, 1);
|
|
assert!(w_pixel[0] > 200);
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_placements_with_bi() {
|
|
// Content stream with BI operator (inline image)
|
|
// Should emit a diagnostic but not crash
|
|
let content = b"BI";
|
|
let resources = ResourceDict::new();
|
|
let result = collect_image_placements(content, &resources);
|
|
|
|
// Should return Ok (no placements) but the implementation
|
|
// currently emits a diagnostic inline
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_graphics_state_stack_limit() {
|
|
// Test that the graphics state stack depth limit is enforced
|
|
let content: Vec<u8> = b"q ".repeat(100).into(); // 100 q operators (exceeds MAX_GSTATE_DEPTH)
|
|
let resources = ResourceDict::new();
|
|
let result = collect_image_placements(&content, &resources);
|
|
|
|
// Should fail due to stack overflow
|
|
assert!(result.is_err());
|
|
|
|
let diags = result.unwrap_err();
|
|
assert!(diags
|
|
.iter()
|
|
.any(|d| d.code == DiagCode::GstateStackOverflow));
|
|
}
|
|
|
|
#[test]
|
|
fn test_ctm_with_scale() {
|
|
// Test CTM with scaling
|
|
let content = b"2 0 0 2 0 0 cm /Im1 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 1);
|
|
// CTM should have scale
|
|
assert_eq!(placements[0].ctm.a, 2.0);
|
|
assert_eq!(placements[0].ctm.d, 2.0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_ctm_with_rotation() {
|
|
// Test CTM with rotation (90 degrees)
|
|
// [0 1 -1 0 0 0] is a 90-degree rotation
|
|
let content = b"0 1 -1 0 100 200 cm /Im1 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 1);
|
|
// CTM should have rotation
|
|
assert_eq!(placements[0].ctm.a, 0.0);
|
|
assert_eq!(placements[0].ctm.b, 1.0);
|
|
assert_eq!(placements[0].ctm.c, -1.0);
|
|
assert_eq!(placements[0].ctm.d, 0.0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_ctm_with_flip() {
|
|
// Test CTM with Y flip (negative determinant)
|
|
// [1 0 0 -1 0 height] flips Y
|
|
let content = b"1 0 0 -1 0 792 cm /Im1 Do";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 1);
|
|
// CTM should have Y flip
|
|
assert_eq!(placements[0].ctm.a, 1.0);
|
|
assert_eq!(placements[0].ctm.d, -1.0);
|
|
assert!(placements[0].ctm.has_flip());
|
|
}
|
|
|
|
#[test]
|
|
fn test_multiple_images_different_ctms() {
|
|
// Test multiple images with different CTMs
|
|
let content = b"q 1 0 0 1 0 0 cm /Im1 Do Q q 2 0 0 2 100 100 cm /Im2 Do Q q 0 1 -1 0 200 200 cm /Im3 Do Q";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im2"), ObjRef::new(2, 0));
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im3"), ObjRef::new(3, 0));
|
|
|
|
let result = collect_image_placements(content, &resources);
|
|
assert!(result.is_ok());
|
|
let placements = result.unwrap();
|
|
assert_eq!(placements.len(), 3);
|
|
|
|
// First image: identity
|
|
assert!(placements[0].ctm.is_identity());
|
|
|
|
// Second image: scale and translate
|
|
assert_eq!(placements[1].ctm.a, 2.0);
|
|
assert_eq!(placements[1].ctm.d, 2.0);
|
|
assert_eq!(placements[1].ctm.e, 100.0);
|
|
assert_eq!(placements[1].ctm.f, 100.0);
|
|
|
|
// Third image: rotate and translate
|
|
assert_eq!(placements[2].ctm.a, 0.0);
|
|
assert_eq!(placements[2].ctm.b, 1.0);
|
|
assert_eq!(placements[2].ctm.e, 200.0);
|
|
assert_eq!(placements[2].ctm.f, 200.0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_image_count_limit() {
|
|
// Test that the image count limit is enforced
|
|
let mut content = String::new();
|
|
let mut resources = ResourceDict::new();
|
|
|
|
// Create 300 image references (exceeds MAX_IMAGES_PER_PAGE)
|
|
for i in 0..300 {
|
|
content.push_str(&format!("/Im{} Do ", i));
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from(format!("Im{}", i)), ObjRef::new(i as u32, 0));
|
|
}
|
|
|
|
let result = collect_image_placements(content.as_bytes(), &resources);
|
|
assert!(result.is_err());
|
|
|
|
let diags = result.unwrap_err();
|
|
assert!(diags.iter().any(|d| d.code == DiagCode::StreamBomb));
|
|
}
|
|
|
|
#[test]
|
|
fn test_compute_unit_square_bbox_identity() {
|
|
let ctm = Matrix3x3::identity();
|
|
let bbox = compute_unit_square_bbox(&ctm);
|
|
// Unit square at origin
|
|
assert_eq!(bbox, [0.0, 0.0, 1.0, 1.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_compute_unit_square_bbox_translate() {
|
|
let mut ctm = Matrix3x3::identity();
|
|
ctm.e = 100.0; // Translate x by 100
|
|
ctm.f = 200.0; // Translate y by 200
|
|
let bbox = compute_unit_square_bbox(&ctm);
|
|
// Unit square translated by (100, 200)
|
|
assert_eq!(bbox, [100.0, 200.0, 101.0, 201.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_compute_unit_square_bbox_scale() {
|
|
// Test CTM with scaling: 100 0 0 50 200 300 cm
|
|
let ctm = Matrix3x3::from_pdf_array([100.0, 0.0, 0.0, 50.0, 200.0, 300.0]);
|
|
let bbox = compute_unit_square_bbox(&ctm);
|
|
// Unit square scaled by 100x50 and translated by (200, 300)
|
|
assert_eq!(bbox, [200.0, 300.0, 300.0, 350.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_compute_unit_square_bbox_scale_only() {
|
|
// Test CTM with only scaling: 2 0 0 2 0 0 cm
|
|
let ctm = Matrix3x3::from_pdf_array([2.0, 0.0, 0.0, 2.0, 0.0, 0.0]);
|
|
let bbox = compute_unit_square_bbox(&ctm);
|
|
// Unit square scaled by 2x2
|
|
assert_eq!(bbox, [0.0, 0.0, 2.0, 2.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_xobjects_empty() {
|
|
let content = b"";
|
|
let resources = ResourceDict::new();
|
|
let result = collect_image_xobjects(content, &resources);
|
|
assert!(result.is_ok());
|
|
assert!(result.unwrap().is_empty());
|
|
}
|
|
|
|
#[test]
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fn test_collect_image_xobjects_simple() {
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// Simple content stream with one Do operator
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let content = b"/Im1 Do";
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let mut resources = ResourceDict::new();
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resources
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.xobjects
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.insert(Arc::from("Im1"), ObjRef::new(1, 0));
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|
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let result = collect_image_xobjects(content, &resources);
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assert!(result.is_ok());
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let images = result.unwrap();
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assert_eq!(images.len(), 1);
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|
|
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// Check the ImageXObject structure
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match &images[0].source {
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ImageSource::XObject(ref_obj, name) => {
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assert_eq!(*ref_obj, ObjRef::new(1, 0));
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assert_eq!(name.as_ref(), "Im1");
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}
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_ => panic!("Expected XObject source"),
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}
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|
|
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// Bbox should be unit square at origin (identity CTM)
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assert_eq!(images[0].bbox, [0.0, 0.0, 1.0, 1.0]);
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|
|
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// Header should be default for XObject images
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assert_eq!(images[0].header.width, None);
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assert_eq!(images[0].header.height, None);
|
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}
|
|
|
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#[test]
|
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fn test_collect_image_xobjects_with_ctm() {
|
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// Content stream with cm and Do operators
|
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let content = b"100 0 0 50 200 300 cm /Im1 Do";
|
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let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
|
|
let result = collect_image_xobjects(content, &resources);
|
|
assert!(result.is_ok());
|
|
let images = result.unwrap();
|
|
assert_eq!(images.len(), 1);
|
|
|
|
// Bbox should be unit square transformed by CTM (scale 100x50 + translate 200,300)
|
|
assert_eq!(images[0].bbox, [200.0, 300.0, 300.0, 350.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_collect_image_xobjects_multiple() {
|
|
// Test multiple images with different CTMs
|
|
let content = b"q 1 0 0 1 0 0 cm /Im1 Do Q q 2 0 0 2 100 100 cm /Im2 Do Q";
|
|
let mut resources = ResourceDict::new();
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im1"), ObjRef::new(1, 0));
|
|
resources
|
|
.xobjects
|
|
.insert(Arc::from("Im2"), ObjRef::new(2, 0));
|
|
|
|
let result = collect_image_xobjects(content, &resources);
|
|
assert!(result.is_ok());
|
|
let images = result.unwrap();
|
|
assert_eq!(images.len(), 2);
|
|
|
|
// First image: identity CTM
|
|
assert_eq!(images[0].bbox, [0.0, 0.0, 1.0, 1.0]);
|
|
|
|
// Second image: scale 2x2 + translate (100, 100)
|
|
assert_eq!(images[1].bbox, [100.0, 100.0, 102.0, 102.0]);
|
|
}
|
|
|
|
#[test]
|
|
fn test_inline_image_header_default() {
|
|
let header = InlineImageHeader::default();
|
|
assert_eq!(header.width, None);
|
|
assert_eq!(header.height, None);
|
|
assert_eq!(header.bpc, 8); // Default BPC
|
|
assert_eq!(header.colorspace, None);
|
|
assert!(header.filters.is_empty());
|
|
assert!(!header.is_mask);
|
|
assert_eq!(header.mask_color, None);
|
|
}
|
|
|
|
#[test]
|
|
fn test_image_xobject_with_inline() {
|
|
// Test that InlineImageSource creates correct ImageXObject
|
|
let header = InlineImageHeader {
|
|
width: Some(100),
|
|
height: Some(50),
|
|
bpc: 8,
|
|
colorspace: Some("DeviceRGB".to_string()),
|
|
filters: vec!["DCTDecode".to_string()],
|
|
is_mask: false,
|
|
mask_color: None,
|
|
};
|
|
let data = vec![1u8, 2, 3, 4];
|
|
let ctm = Matrix3x3::from_pdf_array([2.0, 0.0, 0.0, 2.0, 10.0, 20.0]);
|
|
|
|
let image = ImageXObject {
|
|
bbox: compute_unit_square_bbox(&ctm),
|
|
source: ImageSource::Inline,
|
|
header: header.clone(),
|
|
bytes_ref: ImageBytesRef::Inline(data.clone()),
|
|
};
|
|
|
|
// Check bbox: unit square scaled by 2x2 + translate (10, 20)
|
|
assert_eq!(image.bbox, [10.0, 20.0, 12.0, 22.0]);
|
|
|
|
// Check source
|
|
match image.source {
|
|
ImageSource::Inline => {}
|
|
_ => panic!("Expected Inline source"),
|
|
}
|
|
|
|
// Check header
|
|
assert_eq!(image.header.width, Some(100));
|
|
assert_eq!(image.header.height, Some(50));
|
|
assert_eq!(image.header.bpc, 8);
|
|
assert_eq!(image.header.colorspace, Some("DeviceRGB".to_string()));
|
|
assert_eq!(image.header.filters, vec!["DCTDecode".to_string()]);
|
|
|
|
// Check bytes_ref
|
|
match image.bytes_ref {
|
|
ImageBytesRef::Inline(ref data_bytes) => {
|
|
assert_eq!(*data_bytes, data);
|
|
}
|
|
_ => panic!("Expected Inline bytes_ref"),
|
|
}
|
|
}
|
|
}
|