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Proceedings Paper

Image deblurring with adaptive total variation model
Author(s): Yang Bai; Yuanyuan Ding; Xin Zhang; Hongguang Jia; Lihong Guo
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Paper Abstract

In this paper the models of blurring and methods of deblurring are introduced. A kind of nonlinear image deblurring approach is discussed, which comes from constrained optimization total variation approaches. An adaptive TV model method of image deblurring based on common TV model methods is proposed. The experimental results indicate that the proposed method can protect the details of the blurry image more efficiently and satisfy some deblurring requirements more adaptively.

Paper Details

Date Published: 19 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201N (19 August 2010); doi: 10.1117/12.866149
Show Author Affiliations
Yang Bai, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Yuanyuan Ding, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Xin Zhang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Hongguang Jia, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Lihong Guo, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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