26 lines
965 B
Python
26 lines
965 B
Python
import cv2
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def enhance_image_for_ai(input_path: str) -> str:
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"""Smooths camera sensor noise and brightens dark areas for vision LLMs."""
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img = cv2.imread(input_path)
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if img is None:
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return input_path
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# 1. Remove ISO sensor noise (grain)
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denoised = cv2.fastNlMeansDenoisingColored(img, None, h=7, hColor=7, templateWindowSize=7, searchWindowSize=21)
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# 2. Convert to LAB color space for luminance enhancement
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lab = cv2.cvtColor(denoised, cv2.COLOR_BGR2LAB)
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l, a, b = cv2.split(lab)
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# 3. Apply softer CLAHE (lower clipLimit prevents noise amplification)
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clahe = cv2.createCLAHE(clipLimit=1.8, tileGridSize=(8, 8))
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cl = clahe.apply(l)
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# 4. Merge channels back
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limg = cv2.merge((cl, a, b))
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enhanced = cv2.cvtColor(limg, cv2.COLOR_LAB2BGR)
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enhanced_path = input_path.replace(".jpg", "_enhanced.jpg")
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cv2.imwrite(enhanced_path, enhanced, [cv2.IMWRITE_JPEG_QUALITY, 90])
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return enhanced_path |