A REAL TIME VIDEO COLORIZATION ALGORITHM WITH ARTIFACTS SUPPRESSION-A REVIEW

Abstract

Color transfer between images and videos are critical operation in images/videos editing but easily suffers from some corruptive artifacts in the mapping process. In this paper, a color transfer approach with corruptive artifacts suppression is define, which performs iterative probabilistic color mapping and this Paper extend the technique to colorize the videos. This will help us to colorize both already colored and gray scale videos. It is done with the help of self-learning filtering scheme and multiscale detail manipulation scheme, which minimizes Kullback-Leibler distance. First, an iterative probabilistic color mapping is applied to
construct the mapping relationship between the reference and target frames. Then, a self learning filtering scheme is applied into the transfer process to prevent from artifacts and extract details. The transferred output and the extracted multi-levels details are integrated. This is done by the measurement minimization to yield the final result. This method achieves a sound grain suppression which means it prevent from being published then a color fidelity that means the degree of exactness with which something is copied or Reproducced and detail appearance.