论文标题
图像和视频的二十年的着色和脱色化
Two Decades of Colorization and Decolorization for Images and Videos
论文作者
论文摘要
着色是一个计算机辅助过程，旨在为灰色图像或视频赋予色彩。它可用于增强黑白图像，包括黑白照片，老式电影和科学成像结果。相反，脱色是将颜色图像或视频转换为灰度。灰度图像或视频是指没有颜色信息的亮度信息的图像或视频。它是一些下游图像处理应用程序的基础，例如模式识别，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度保存，而且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时空的一致性和算法效率来开发脱色方法。随着数码相机和手机的流行，研究人员越来越关注图像和视频着色和脱色。本文概述了过去二十年来图像和视频着色和脱色方法的进度。
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.
