An iterative blind deconvolution image restoration algorithm based on adaptive selection of regularization parameter

Authors:
Sun Qi;Hongzhi Wang;Lu Wei
Affiliations:
College of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, Changchun, China;College of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, Changchun, China;College of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, Changchun, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 5
Cited 0

A Study of Methods of Choosing the Smoothing Parameter in Image Restoration by Regularization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing

Digital Image Processing
Iterative Identification and Restoration of Images (The International Series in Engineering and Computer Science)

Iterative Identification and Restoration of Images (The International Series in Engineering and Computer Science)
Application of evolutionary programming to adaptive regularization in image restoration

IEEE Transactions on Evolutionary Computation
Adaptive regularized constrained least squares image restoration

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most problems in image restoration are ill-posed, so regulation technique is needed to restrict the problem. In this paper the err cost function with adaptive selection of regularization parameter (ASPR) is constructed in spatial domain, and the conjugate gradient is introduced to minimize the err cost function. In the frequency domain two constraints are incorporated in the estimation process of the object image and PSF. The proposed ASPR method can obtain the regularization parameter adaptively according to the edge information of the image which guarantees the restored image is the best result in the total field Simulation results show that this method is correct and feasible, as well as has a good performance in the uniqueness and convergence of solution.