Texture synthesis image completion based on PSO

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (9): 178-180.

• 图形、图像处理 • Previous Articles Next Articles

Texture synthesis image completion based on PSO

ZHU Wei,LI Guo-hui,LAI Xu

Department of Information System & Management，National University of Defense Technology，Changsha 410073，China

Received:2007-10-19 Revised:2008-01-17 Online:2008-03-21 Published:2008-03-21
Contact: ZHU Wei

基于微粒群算法的纹理合成图像修补方法

朱为,李国辉,来旭

国防科技大学信息系统与管理学院，长沙 410073

通讯作者: 朱为

Abstract

Abstract: In this paper，a texture synthesis image completion based on Particle Swarm Optimization （PSO） is proposed.According to the inefficient matched patches full search often used in exemplar-based texture synthesis，initial sampling particles are selected in candidate area，and PSO algorithm is used to search the optimal matched patch.Experiment results demonstrate the effectiveness of the proposed approach.

Key words: image completion, texture synthesis, PSO

摘要： 提出了一种基于微粒群算法（PSO）的纹理合成图像修补方法。针对基于块的纹理合成算法中常用的匹配块全搜索效率低下的问题，对候选区域采样确定初始微粒，利用PSO算法搜索得到最优匹配块。实验结果表明了方法的有效性。

关键词: 图像修补, 纹理合成, 微粒群算法

ZHU Wei,LI Guo-hui,LAI Xu. Texture synthesis image completion based on PSO[J]. Computer Engineering and Applications, 2008, 44(9): 178-180.

朱为,李国辉,来旭. 基于微粒群算法的纹理合成图像修补方法[J]. 计算机工程与应用, 2008, 44(9): 178-180.

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Texture synthesis image completion based on PSO

基于微粒群算法的纹理合成图像修补方法

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