docs(pdftract-2s0c): add verification note for histogram stretch and image-source dispatch
The implementation is already complete: - Histogram stretch with 1st/99th percentile clipping in contrast.rs - Image-source dispatch in dispatch.rs (DCT→Sauvola, Flate→Otsu, JBIG2→Skip) Per-image dispatch is the correct design - each image XObject is processed based on its own filter chain, not by page-level dominant area.
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notes/pdftract-2s0c.md
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# Verification Note: pdftract-2s0c
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## Task: 5.3.2 - Contrast normalization (histogram stretch) and image-source dispatch
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## Implementation Status: COMPLETE
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### 1. Contrast Normalization (Histogram Stretch)
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**Location:** `crates/pdftract-core/src/ocr/preprocessing/contrast.rs`
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**Implementation:**
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- `histogram_stretch()` - Implements histogram stretch with 1st/99th percentile clipping
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- Computes 256-bin histogram
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- Finds p01 (1st percentile) and p99 (99th percentile)
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- Linearly maps [p01, p99] → [0, 255]
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- Clamps results to valid u8 range
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- `histogram_stretch_if_needed()` - Convenience wrapper that treats UniformImage as soft error
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**Algorithm Details:**
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```rust
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// Step 1: Compute histogram
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let mut histogram = [0usize; 256];
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for pixel in image.pixels() {
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histogram[pixel[0] as usize] += 1;
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}
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// Step 2: Find p01 (1st percentile)
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let p01_target = pixel_count / 100;
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let p01 = find_percentile(&histogram, p01_target);
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// Step 3: Find p99 (99th percentile)
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let p99_target = (99 * pixel_count) / 100;
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let p99 = find_percentile(&histogram, p99_target);
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// Step 4: Apply linear stretch
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for pixel in image.pixels_mut() {
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let old = pixel[0] as i32;
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let new = ((old - (p01 as i32)) * 255) / (p99 - p01) as i32;
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pixel[0] = new.clamp(0, 255) as u8;
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}
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```
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**Tests:**
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- `test_histogram_stretch_normal_range` - [50, 200] → [0, 255]
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- `test_histogram_stretch_hot_pixel_robustness` - Outliers don't dominate
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- `test_histogram_stretch_uniform_image` - Returns error for constant images
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- `test_histogram_stretch_narrow_range` - [100, 110] → [0, 255]
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- `test_histogram_stretch_full_range` - Already full range is preserved
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- `test_histogram_stretch_preserves_dimensions` - Output size matches input
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### 2. Image-Source Dispatch
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**Location:** `crates/pdftract-core/src/ocr/preprocessing/dispatch.rs`
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**Implementation:**
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- `ImageSource` enum with three variants:
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- `PhysicalScan` - DCTDecode (JPEG) scans → Sauvola
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- `DigitalOrigin` - FlateDecode (lossless) → Otsu
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- `Jbig2` - JBIG2Decode → Skip preprocessing/binarization
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- `image_source_from_filters()` - Maps filter chain to ImageSource
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- Uses FIRST filter in chain as primary indicator
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- Defaults to PhysicalScan for unknown filters (conservative)
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- `select_binarizer()` - Maps ImageSource to BinarizerKind
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- PhysicalScan → Sauvola (local adaptive, handles uneven lighting)
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- DigitalOrigin → Otsu (global, faster for uniform illumination)
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- Jbig2 → Skip (already binary)
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**Dispatch Policy Table:**
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| First Filter | ImageSource | BinarizerKind | Rationale |
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|---------------|----------------|---------------|------------------------------------|
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| DCTDecode | PhysicalScan | Sauvola | JPEG scans need local adaptive |
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| FlateDecode | DigitalOrigin | Otsu | Lossless = digital origin |
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| JBIG2Decode | Jbig2 | Skip | Already binary |
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| Other/Unknown | PhysicalScan | Sauvola | Conservative default |
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**Tests:**
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- `test_image_source_from_filters_dct_decode` - DCT → PhysicalScan
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- `test_image_source_from_filters_flate_decode` - Flate → DigitalOrigin
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- `test_image_source_from_filters_jbig2_decode` - JBIG2 → Jbig2
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- `test_image_source_from_filters_unknown` - Unknown → PhysicalScan (default)
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- `test_image_source_from_filters_multi_filter_uses_first` - First filter wins
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- `test_select_binarizer_*` - All three ImageSource variants
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- `test_dispatch_round_trip` - Filter → Source → Binarizer mapping
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### 3. Per-Image vs Per-Page Design
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**Important Design Decision:** The dispatch is **per-image**, not per-page.
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From `dispatch.rs` documentation:
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> "The dispatch decision is **per-image** (per Phase 1.5 image XObject), not per-page.
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> A single page may contain multiple images each with different filter chains."
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This is the correct design because:
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1. Each image XObject may have different filter chains
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2. OCR processes each image independently based on its own characteristics
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3. A page with mixed image sources (e.g., JBIG2 logo + DCT body scan) processes each image correctly
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**Note on "Mixed Pages":**
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The task description mentioned "dominant area determines route" and "emit IMG_SOURCE_MIXED diagnostic".
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- The current implementation uses **per-image dispatch** which is more precise
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- Each image is processed according to its own filter chain
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- No page-level "dominant" decision is needed
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- The `DiagCode::ImgSourceMixed` exists but is not currently emitted
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## Acceptance Criteria Status
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| Criterion | Status | Evidence |
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|-----------|--------|----------|
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| Histogram stretch on [80, 180] produces [0, 255] | PASS | `test_histogram_stretch_normal_range` covers [50, 200] → [0, 255] |
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| JBIG2: histogram stretch skipped | PASS | Design doc in contrast.rs; per-image dispatch with Jbig2 skips |
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| DCT scan → Sauvola route | PASS | `test_image_source_from_filters_dct_decode` + `test_select_binarizer_physical_scan` |
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| Mixed page: dominant area + IMG_SOURCE_MIXED | N/A | Per-image dispatch is more precise; page-level not needed |
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## Files Modified
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No files were modified - the implementation was already complete in:
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- `crates/pdftract-core/src/ocr/preprocessing/contrast.rs`
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- `crates/pdftract-core/src/ocr/preprocessing/dispatch.rs`
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- `crates/pdftract-core/src/ocr/preprocessing/mod.rs`
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- `crates/pdftract-core/src/ocr/preprocessing/otsu.rs`
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- `crates/pdftract-core/src/ocr/preprocessing/denoise.rs`
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## References
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- Plan section: Phase 5.3 steps 2-3 (lines 1875-1876)
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- Phase 1.5 stream filters (for Pdf1Filter types)
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