Laser & Optoelectronics Progress, Volume. 50, Issue 5, 51001(2013)
Varying-Parameter Tikhonov Regularization Image Restoration
Regularization is popular in image restoration recent years. We analyze the preconditioning conjugate gradient method with Tikhonov regularization under the periodic boundary conditions, and propose a new preconditioning matrix and the varying regularization parameter method. At first, we choose a larger regularization parameter to restrain the noise in the restored image, get a convergent result to modify the initial gradient. After that, we choose a smaller one to increase the details. Experiments on a set of image restoration and reconstruction benchmark problems show that the proposed algorithm performs favorably in comparison with several state-of-the-art regularization image restoration algorithms.
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Yan Xuefei, Xu Tingfa, Bai Tingzhu. Varying-Parameter Tikhonov Regularization Image Restoration[J]. Laser & Optoelectronics Progress, 2013, 50(5): 51001
Category: Image Processing
Received: Nov. 30, 2012
Accepted: --
Published Online: Apr. 16, 2013
The Author Email: Xuefei Yan (yxfamyself@sina.com)