Image deblurring with adaptive total variation model

Yang Bai; Yuanyuan Ding; Xin Zhang; Hongguang Jia; Lihong Guo

doi:10.1117/12.866149

19 August 2010 Image deblurring with adaptive total variation model

Yang Bai, Yuanyuan Ding, Xin Zhang, Hongguang Jia, Lihong Guo

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201N (2010) https://doi.org/10.1117/12.866149
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Yang Bai, Yuanyuan Ding, Xin Zhang, Hongguang Jia, and Lihong Guo "Image deblurring with adaptive total variation model", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201N (19 August 2010); https://doi.org/10.1117/12.866149

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