Research of image deblurring based on Tikhonov regularization

Xuefei Yan; Gang Jing; Yan Liu; Yimin Hu; Lin Zhou; Chao Zhang; Xiaohao Wang

doi:10.1117/12.2515437

12 March 2019 Research of image deblurring based on Tikhonov regularization

Xuefei Yan, Gang Jing, Yan Liu, Yimin Hu, Lin Zhou, Chao Zhang, Xiaohao Wang

Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 1102303 (2019) https://doi.org/10.1117/12.2515437
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China

Abstract

To deal with the shortcoming of the Tikhonov regularization in which the blurred image is extended with a zeros extension matrix. With careful analysis of the algorithms with Tikhonov regularization under zero boundary condition, a new extension matrix for the blurred image was proposed. The improved algorithm is in accord with the real image blurring process. Experimental results show that compared with other popular algorithms, the improved method performs favorably in solving the problem of the Average degradation and Gaussian degradation.

Citation Download Citation

Xuefei Yan, Gang Jing, Yan Liu, Yimin Hu, Lin Zhou, Chao Zhang, and Xiaohao Wang "Research of image deblurring based on Tikhonov regularization", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102303 (12 March 2019); https://doi.org/10.1117/12.2515437

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