IA-CLAHE trains a lightweight network on a differentiable CLAHE extension to predict per-tile clip limits that drive local histograms toward a uniform distribution, delivering zero-shot gains in recognition accuracy and visual quality.
ERUP-YOLO: Enhancing object detection robustness for ad- verse weather condition by unified image-adaptive process- ing
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IA-CLAHE: Image-Adaptive Clip Limit Estimation for CLAHE
IA-CLAHE trains a lightweight network on a differentiable CLAHE extension to predict per-tile clip limits that drive local histograms toward a uniform distribution, delivering zero-shot gains in recognition accuracy and visual quality.