Blind image deblurring with edge enhancing total variation regularization

Yu Shi; Hanyu Hong; Jie Song; Xia Hua

doi:10.1117/12.2180852

13 April 2015 Blind image deblurring with edge enhancing total variation regularization

Yu Shi, Hanyu Hong, Jie Song, Xia Hua

Proceedings Volume 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II; 95222B (2015) https://doi.org/10.1117/12.2180852
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China

Abstract

Blind image deblurring is an important issue. In this paper, we focus on solving this issue by constrained regularization method. Motivated by the importance of edges to visual perception, the edge-enhancing indicator is introduced to constrain the total variation regularization, and the bilateral filter is used for edge-preserving smoothing. The proposed edge enhancing regularization method aims to smooth preferably within each region and preserve edges. Experiments on simulated and real motion blurred images show that the proposed method is competitive with recent state-of-the-art total variation methods.

Citation Download Citation

Yu Shi, Hanyu Hong, Jie Song, and Xia Hua "Blind image deblurring with edge enhancing total variation regularization", Proc. SPIE 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 95222B (13 April 2015); https://doi.org/10.1117/12.2180852

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