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Proceedings Paper

Fast algorithm based on iterative generalized inverse for image deblurring
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Paper Abstract

In this paper, a fast algorithm for image deblurring is discussed. The algorithm is based on generalized inverse iteration, and linearized Bregman iteration for the basis pursuit problem. Numerical experiments show that the chaotic algorithm for image restoration is effective and efficient.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201R (21 July 2017); doi: 10.1117/12.2281700
Show Author Affiliations
Tiantian Qiao, China Univ. of Petroleum (China)
Sining Huang, China Univ. of Petroleum (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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