Research on Color Algorithm of Gray Image Based on a Color Channel

Traditional grayscale image colorization methods generally have problems such as distortion and inaccuracy, such as pseudo color enhancement and false color processing. This paper uses a more accurate and better color implementation algorithm. First, the source image and the target image are converted from the RGB channel into the lαβ channel, and then the similarity of the pixels in the source image is determined and compared by comparing the similarities of the pixels between the two images, and then the target image is colored. transfer. Finally, the image can be converted from the lαβ space to the RGB space. This paper elaborates on the theoretical basis, formula steps, program implementation, and superiority of the algorithm compared with traditional image processing methods.