Authors: Min Hu Bo Ou Yi Xiao
Publish Date: 2016/11/21
Volume: 76, Issue: 22, Pages: 23567-23588
Abstract
Colorization is a technique to automatically produce color components for monochrome images and videos based on a few input colors Generally image colorization is initialized from a number of seed pixels whose colors are specified by users and then the colors are gradually prorogating to the monochrome surroundings under a given optimization constraint So the performance of colorization is highly dependent on the selection of seed pixels However little attention has been paid to the selection of seed pixels and how to improve the effectiveness of manual input remains a challenging task To address this an improved colorization method using seed pixel selection is proposed to assist the users in determining which pixels are highly required to be colorized for a highquality colorized image Specifically the grayscale image is first divided into nonoverlapped blocks and then for each block two pixels that approximate the average luminance of block are selected as the seeds After the seed pixels are colored by users an optimization that minimizes the difference between the seeds and their adjacent pixels is employed to propagate the colors to the other pixels The experimental results demonstrate that for a given amount of inputs the proposed method can achieve a higher PSNR than the conventional colorization methodsThis work is supported by the National Science Foundation of China Nos 61502160 61502158 61472131 61572182 the Science and Technology Key Projects of Hunan Province 2015 TP1004 and the Scientific Research Plan of Hunan Provincial Science and Technology Department of China 2014FJ4161
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