An image enhancement algorithm based on multi-algorithm fusion of different color spaces

• Main Authors: LI PENG, CAI CHENGLIN, ZHOU YAN, HUANG YONG, YAO KUNLUN
• Format: Patent
• Language: Chinese; English
• Published: 11.01.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses an image enhancement algorithm based on multi-algorithm fusion of different color spaces. Firstly, R, G and B three color channels of the image are stretched automatically in RGB color space; the original image is transformed from RGB color space to HSV color space, and the brightness component V is enhanced by using improved multi-scale Retinex algorithm, and the obtainedimage is transformed from HSV color space to RGB color space; then, two images in RGB color space are fused by weighting; finally, the fused image is Gamma corrected to realize color restoration and compensation. Experimental results show that the proposed algorithm improves the brightness and contrast of the image and retains more detailed information than other algorithms, which can effectivelyprevent false halo phenomenon. 本发明公开了种基于不同颜色空间多算法融合的图像增强算法，首先在RGB颜色空间下对图像的R、G、B 3个颜色通道分别进行自动对比度拉伸；并将原图像从RGB颜色空间转换到HSV颜色空间，采用改进的多尺度Retinex算法对亮度分量V增强处理，将得到的图像从HSV颜色空间转换回RGB颜色空间；然后对RGB颜色空间的两幅图像进行加权融合；最后将融合后的图像进行Gamma校正,实现颜色恢复与补偿。