An Image Enhancement Method Based on Adaptive Gamma Transformation

Aiming at the problem that it is challenging to extract visual features from images under different light conditions effectively, a kind of image enhancement algorithm based on adaptive gamma transformation is proposed in this paper. First, the image is transformed from RGB space to HSV space to obtain the feature map of brightness. According to the brightness of the image, a kind of adaptive gamma transformation function is constructed to adjust the brightness of the image. And then, the CLAHE algorithm is used to enhance the brightness of the image and increase the contrast of the image further. The results show that the algorithm effectively improves the chroma and entropy of the image under different luminance conditions while improving the adaptability to the lighting luminance effectively.