50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
"""Image preprocessing pipeline for aged document OCR quality improvement."""
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import logging
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import os
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import cv2
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import numpy as np
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from PIL import Image
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logger = logging.getLogger(__name__)
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CLAHE_CLIP_LIMIT = float(os.environ.get("OCR_CLAHE_CLIP_LIMIT", "2.0"))
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CLAHE_TILE_SIZE = int(os.environ.get("OCR_CLAHE_TILE_SIZE", "8"))
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def preprocess_page(image: Image.Image) -> Image.Image:
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"""Apply CLAHE + grayscale + Gaussian blur to improve OCR quality on aged documents.
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Falls back silently to the original image if any step fails.
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"""
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try:
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img_array = np.array(image)
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lab = cv2.cvtColor(img_array, cv2.COLOR_RGB2LAB)
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del img_array
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l_channel = lab[:, :, 0].copy()
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del lab
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clahe = cv2.createCLAHE(
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clipLimit=CLAHE_CLIP_LIMIT,
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tileGridSize=(CLAHE_TILE_SIZE, CLAHE_TILE_SIZE),
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)
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l_clahe = clahe.apply(l_channel)
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del l_channel
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blurred = cv2.GaussianBlur(l_clahe, (3, 3), 0)
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del l_clahe
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result = Image.fromarray(blurred, mode="L")
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del blurred
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return result
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except Exception as e:
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logger.warning(
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"preprocess_page failed (falling back to original): %s: %s",
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type(e).__name__,
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e,
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)
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return image
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