jpr.4.3.13886 A Reconstruction of Gray Scale Image into RGB Color Space Image Using YCbCr Color Spacing and Luminance Mapping in Matlab Nidhi Gupta Dolley Shukla Journal on Pattern Recognition 2350-112X 4 3 17 26 10.26634/jpr.4.3.13886 YCbCr Color Space, Gray-scale Images, Adaptive Method, Texture Features, Luminance Mapping, Reference Color image RGB (Red, Green, Blue) color scale image to Gray scale image color conversion is very useful and application oriented in the digital image processing world. In this paper, the authors have presented a basic method for the grayscale images to color image conversion by transferring the color elements between a source input, RGB color image and a destination, the gray scale image. The methods compared here are based on matching luminance and color information between the gray images. The de-corrected color space of image is chosen to provide color to the pixel gray image, which is a basic and simple algorithm. Thus, the color-space with de-correlated technique is an extremely vital tool for manipulating the pixel of color images during this work. Colorization of the gray scale image pixel is obtained here by matching the texture options of gray image with coloring options of the windows of the colored image elements, then mean and variance are imposed on the info points during this simple operation. Thus the required output images are obtained for the acceptable input images. The gray-scale image pixel and reference-colored image pixel uses YCbCr (Y-Luma Component; Cb, Cr - Bluedifference and Red - Difference Chroma Components) pixel space for the processing of the image pixels in this elements of color-space component data, which is for the colorization of the gray-scale pixel image. The output of system is obtained by colorization using a popular method of using the mean and standard deviation technique in lab. All the methods utilized in this gray-scale image colorization was an automatic image colorization process, requiring two factors of the images i.e. gray-scale image as source and pixel of color image layers as the destination of image. After undergoing histogram analysis, the colors of the source image elements are successfully transferred to the destination image. The closer the luminance image pixel data of both images, the easier the transfer process becomes. September - November 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13886