Fast algorithm based on iterative generalized inverse for image deblurring

Tiantian Qiao; Sining Huang

doi:10.1117/12.2281700

21 July 2017 Fast algorithm based on iterative generalized inverse for image deblurring

Tiantian Qiao, Sining Huang

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.

Citation Download Citation

Tiantian Qiao and 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); https://doi.org/10.1117/12.2281700

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