Global Expansion Algorithm of Local Image Colorization

作者：Jing Shao-wei · 发表于：Mechanical Engineering & Automation · 年份：2009 · 研究领域：Image and Video Stabilization、Simulation and Modeling Applications、Generative Adversarial Networks and Image Synthesis

The global expansion algorithm of local image colorization is presented in this paper.We transfer colors to swatches,and take texture characteristic and luminance of image as a feature vector component to construct corresponding relation of target images and swatches.Using the skewness and durtosis of neighborhood information of image,according to swatches,we do whole image clustering.And we select the best match pixel in the corresponding swatch,to achieve the overall image colorization.Colorized images by this method are more natural on the borders of different colors.