Extended performance comparison of pixel window size for colorization of grayscale images using YUV color space

Abstract

There is no exact solution for colorization of grayscale images. In the initial work done [1], color traits transfer techniques to color grayscale images are proposed. The main focus of the techniques [1] is to minimize the human efforts needed in manually coloring the grayscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to grayscale image is done by proposed techniques. This paper is an extension to [14]. Here the technique of color traits transfer to grayscale images have been performed with respect to YUV color space along with different pixel window sizes. The pixel window sizes used are total fifteen ranging from window with size 1×2 to 4×4. So in all 15 different versions of color traits transfer to grayscale algorithms are tested over thirty-one different images for deciding the color space and pixel window size giving best quality of coloring. The experimental results gives that the pixel window of size 4×3 suits the best in YUV color space.