From Monochrome to Technicolor: A Comprehensive Review of Video Colorization

Video colorization is the process of adding colors to black and white video. This task is a compelling problem and intriguing challenge in image processing. With the emergence of deep learning and the availability of a wide range of datasets, significant developments have been made in video colorization algorithms. However, this task presents unique challenges, particularly in ensuring temporal coherence and maintaining spatiotemporal consistency across frames. In this work, we aim to offer a comprehensive overview of state-of-the-art techniques in video colorization, examining the challenges, progress in current techniques, and future direction, by analyzing many papers and research. The goal of this paper is to provide the researchers with a piece of valuable information about video colorization.