AI RESEARCH
IA-CLAHE: Image-Adaptive Clip Limit Estimation for CLAHE
arXiv CS.CV
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ArXi:2604.16010v1 Announce Type: new This paper proposes image-adaptive contrast limited adaptive histogram equalization (IA-CLAHE). Conventional CLAHE is widely used to boost the performance of various computer vision tasks and to improve visual quality for human perception in practical industrial applications. CLAHE applies contrast limited histogram equalization to each local region to enhance local contrast. However, CLAHE often leads to over-enhancement, because the contrast-limiting parameter clip limit is fixed regardless of the histogram distribution of each local region.