Colorization is a computer-aided process, which aims to give color to a gray image or video. It can be used to enhance black-and-white images, including black-and-white photos, old-fashioned films, and scientific imaging results. On the contrary, decolorization is to convert a color image or video into a grayscale one. A grayscale image or video refers to an image or video with only brightness information without color information. It is the basis of some downstream image processing applications such as pattern recognition, image segmentation, and image enhancement. Different from image decolorization, video decolorization should not only consider the image contrast preservation in each video frame, but also respect the temporal and spatial consistency between video frames. Researchers were devoted to develop decolorization methods by balancing spatial-temporal consistency and algorithm efficiency. With the prevalance of the digital cameras and mobile phones, image and video colorization and decolorization have been paid more and more attention by researchers. This paper gives an overview of the progress of image and video colorization and decolorization methods in the last two decades.
翻译:灰色图像或视频是一个计算机辅助进程,旨在给灰色图像或视频提供颜色,可用于加强黑白图像,包括黑白照片、旧电影和科学成像结果。相反,淡色化是为了将彩色图像或视频转换为灰色图像或视频。灰色图像或视频是指仅具有亮度信息的图像或视频,而没有颜色信息。它是一些下游图像处理应用程序的基础,如图案识别、图像分割和图像增强。与图像脱色不同,视频脱色不仅应考虑每个视频框架中的图像对比保护,还应尊重视频框架之间的时间和空间一致性。研究人员致力于通过平衡空间时空一致性和算法效率来开发非色化方法。随着数字相机和移动电话的预先价值,图像和视频的颜色化和变色化以及变色化,研究人员越来越关注了这些图像和视频色化和变色化方法在过去二十年中的进展。