• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Shi, Yunhui (Shi, Yunhui.) (学者:施云惠) | Hou, Yanli (Hou, Yanli.) | Yin, Baocai (Yin, Baocai.) (学者:尹宝才) | Ding, Wenpeng (Ding, Wenpeng.)

收录:

EI Scopus

摘要:

Textures in many images or video scenes are difficult to code because of the large amount of visible detail. This paper proposes an image coding approach to solve this problem, in which we incorporate image decomposition and texture synthesis technology into the image coding framework. The key idea of our approach is to first decompose the original image into cartoon component u and texture component v with different basic characteristics, and then to synthesize the selected texture regions in texture component v. The cartoon component u and the non-synthetic regions in texture component v are compressed by JPEG. Experimental results show bit-rate savings of over 30% compared with JPEG at similar visual quality levels. © 2010 IEEE.

关键词:

Codes (symbols) Computer graphics Image coding Image texture Tellurium compounds Textures

作者机构:

  • [ 1 ] [Shi, Yunhui]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing. 100124, China
  • [ 2 ] [Hou, Yanli]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing. 100124, China
  • [ 3 ] [Yin, Baocai]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing. 100124, China
  • [ 4 ] [Ding, Wenpeng]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing. 100124, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

年份: 2010

页码: 534-537

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

在线人数/总访问数:76/3600978
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司