Colorization of Gray Scale Images in YCbCr Color Space Using Texture Extraction and Luminance Mapping

Abstract

Gray scale image colorization is a useful application in the world of image processing. This work presents a general technique for “colorizing” grayscale images by transferring color between a source or color image and a destination or target or grayscale image by matching luminance and texture information between the images. This technique of the gray image coloring uses a very simple algorithm that chooses a decorrelated color space and then applies simple operations there. Thus the color space with decorrelated axes is a useful tool for manipulating color images in this work. Colorization of a gray scale image is achieved here by matching texture features of gray image with texture features of windows of colored image and then by imposing mean and standard deviation onto the data points in a simple operation, thus believable output images are obtained given suitable input images. Here, we use texture features like energy, entropy, homogeneity, contrast and correlation based on correlation matrix for the purpose of texture matching between two images.