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Step 1: scan_quality.py — Laplacian blur + contrast scoring, adjusts OCR confidence threshold (40 for good scans, 30 for degraded). Quality report included in API response + shown in frontend. Step 2: max_columns parameter in cv_words_first.py — limits column detection to 3 for vocab tables, preventing phantom columns D/E from degraded OCR fragments. Step 3: ocr_image_enhance.py — CLAHE contrast + bilateral filter denoising + unsharp mask, only for degraded scans (gated by quality score). Pattern from handwriting_htr_api.py. Frontend: quality info shown in extraction status after processing. Reprocess button now derives pages from vocabulary data. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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