Image Restoration with Regularization Convex Optimization Approach
محل انتشار: مجله سیستم های برق و سیگنال، دوره: 2، شماره: 2
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 441
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شناسه ملی سند علمی:
JR_JESS-2-2_005
تاریخ نمایه سازی: 19 شهریور 1396
چکیده مقاله:
In this paper, Tikhonov regularization with l-curve parameter estimation as convex optimization problem has been proposed in image restoration as a solution of ill-posed problem stem from sparse and large scale blurring matrix which has many singular values of different orders of magnitude close to the origin. Also, since the restored image is so sensitive to initial guess (start point) of optimization algorithm, a new schema for feasible set and feasible start point has been proposed. Some numerical results show the efficiency of the proposed algorithm in comparison with previous proposed methods.
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نویسندگان
Abdolreza Rashno
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
Foroogh Sadat Tabataba
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran
Saeed Sadri
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran