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Research of image deblurring based on Tikhonov regularization
Author(s): Xuefei Yan; Gang Jing; Yan Liu; Yimin Hu; Lin Zhou; Chao Zhang; Xiaohao Wang
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Paper 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.

Paper Details

Date Published: 12 March 2019
PDF: 10 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102303 (12 March 2019); doi: 10.1117/12.2515437
Show Author Affiliations
Xuefei Yan, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Graduate School at Shenzhen, Tsinghua Univ. (China)
Gang Jing, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Yan Liu, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Yimin Hu, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Lin Zhou, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Chao Zhang, Guangdong Provincial Key Lab. of Optomechatronics (China)
Tsinghua Univ., Shenzhen (China)
Xiaohao Wang, Graduate School at Shenzhen, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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