文献类型：期刊文献

英文题名：Multi-regions texture substitution for image and video

作者：Wan, Jinliang[1]; Liu, Yanhui[2]

第一作者：万金梁

通讯作者：Wan, J.

机构：[1] College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China; [2] State Key Laboratory for Seismic Reduction/Control and Structural Safety [Cultivation], Guangzhou University, Guangzhou, China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

年份：2012

卷号：7

期号：6

起止页码：394-400

外文期刊名：Journal of Multimedia

收录：EI(收录号：20125115827602);Scopus(收录号：2-s2.0-84871250612)

语种：英文

外文关键词：Image coding - Image reconstruction - Textures

摘要：Perceptual coding should take full advantage of the results from human visual system studies. Image can be parsed into two main categories of representation: Contour curve and region texture. In this paper, we introduce a multi-regions texture substitution (MRTS) algorithm for images and videos. MRTS algorithm can achieve medium-level-visual texture substitution through selecting the smallest region texture sample. Specifically combining with dynamic texture learning and synthesis techniques, we explore it in 2D and 3D to perform multi-regions texture substitution for video sequences. Experimental results confirm MRTS algorithm can be done successfully for images with massive textures. Compared with JPEG2000 compression, MRTS can not only get more coding gain but remain most image information people care. MRTS algorithm also can get good video reconstruction quality. ? 2012 ACADEMY PUBLISHER.