关键词: 照度不均匀, 局部自适应, Gamma校正, K近邻（KNN）

Abstract: Uneven illumination images have low resolution and the high light regions and the shadow regions of the images often hide a lot of image information. This paper presents a new local adaptive Gamma correction method to solve the problem that different regions have different light effects due to uneven illumination. This method uses the KNN（K-Nearest Neighbor） algorithm to estimate the most appropriate Gamma value in different regions of an image for local Gamma correction in each of the different regions. Experimental results demonstrate that the proposed method performs better in estimating Gamma values and improving image quality.

Key words: uneven illumination, local self-adaptability, Gamma correction, KNN（K-Nearest Neighbor）