A Fast Texture Synthesis using Gene Expression Programming

被引：0

作者：

Guo, Jifeng ^{[1
]}

Zhang, Na ^{[2
]}

Wang, Lin ^{[1
]}

Yang, Bo ^{[1
,3
]}

Zhao, Xiuyang ^{[1
]}

Zhou, Jin ^{[1
]}

Liu, Shuangrong ^{[1
]}

机构：

[1] Univ Jinan, Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Peoples R China

[2] China United Network Commun Co Ltd, Shandong Branch, Dept Informat, Jinan 250101, Peoples R China

[3] Linyi Univ, Sch Informat, Linyi 276000, Peoples R China

来源：

IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In computer graphics, vision, and image processing, the texture synthesis occupies an important position. However, most of the existing methods are relatively inefficient. Thus, it is necessary to design a fast texture synthesis algorithm. This article describes an efficient algorithm for texture synthesis. The texture model of this algorithm is derived from the Markov random field. It uses Gene Expression Programming(GEP) to find the best function and the value of each pixel in the synthesized image determined by this function. In this way, this algorithm can avoid scanning all of the pixels, so as to improve the speed of texture synthesis. This algorithm is faster than the previous synthesis algorithm.

引用

页码：119 / 124

页数：6

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