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.
Watching it in dark: A target-aware representation learning framework for high- level vision tasks in low illumination
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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.