Image Zooming based on Cartoon and Texture Decomposition

摘要：

A new algorithm for image zooming based on cartoon and texture decomposition is presented in this paper. The basic idea is to first decompose an image into cartoon and texture, and then zoom each part separately with different image zooming algorithms. Finally, the zoomed images will be synthesized into one image. The zoomed parts of the image are found by minimizing the different variational functional in the wavelet domain which use the Besov norm to measure the regularity of the parts. Unlike the traditional image zooming by interpolation, the variation model is incorporated in the zooming algorithm. Experimental results have verified the validity of the new algorithm.

关键词： image zooming image decomposition variational function

作者: Jiang Donghuan Xu Guangbao

作者单位: College of Information and Science EngineeringShandong University of Science and TechnologyQingdao, College of Information and Science Engineering Shandong University of Science and Technology Qingdao

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 119-122

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）