Variation modal Retinex image enhancement algorithm based on PCA
基于PCA的可变框架模型Retinex图像增强算法

For the degradation of images taken under bad weather, this paper proposed a variation modal Retinex image enhancement algorithm based on PCA. PCA transformation provided orthogonality between channels and avoided producing incorrect colors despite the modification of luminance. Firstly, it utilized the PCA transformation to get the luminance component and the chrominance components. Secondly, processed the luminance component with improved variation modal Retinex image enhancement algorithm, and adjusted the chrominance components appropriately. Finally, processed the RGB image with decorrelation stretch. Experimental results show that the method can effectively ameliorate the image degradation taken under bad weather and improve image clarity.