Colorization of Gray Scale Images using Fully Automated Approach
Yogesh Kumar Rathore, Avinash Dhole, Ramnivas Giri, Umesh Agrawal · 2010
In this paper, we are proposing a method for adding colors to grayscale images without human interference. In contrast to many previous computer-aided colorizing methods, which require intensive and perfect human interference, this method needs only the user to provide a target gray level image for the process of ‘colorization’, a colorful image of the similar content as the grayscale image is automatically retrieve from the database of images, as an input source image. Then, the best matching source pixel is determined using luminance and texture matching procedure, for each pixel of the target image into a perceptually de-correlated color space. Once a best matching source pixel is found, its chromaticity values are assigned to the target pixel while the original luminance value of the target pixel is retained. from an image database using content based image retrieval. In their work they retrieve the similar kind of color image from an image database for colorization of a target gray level image. Here, In section 2 three algorithms are described, first for preparation of image database (A), second for image retrieval (B), and third for transfer color to gray scale image (C). The section-3 and section-4 covers the result analysis and conclusion respectively.