21 July 2017 Fast algorithm based on iterative generalized inverse for image deblurring
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104201R (2017) https://doi.org/10.1117/12.2281700
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
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.
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Tiantian Qiao, Tiantian Qiao, Sining Huang, Sining Huang, } "Fast algorithm based on iterative generalized inverse for image deblurring", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201R (21 July 2017); doi: 10.1117/12.2281700; https://doi.org/10.1117/12.2281700
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