کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6423158 1341255 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Alternating Krylov subspace image restoration methods
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Alternating Krylov subspace image restoration methods
چکیده انگلیسی

Alternating methods for image deblurring and denoising have recently received considerable attention. The simplest of these methods are two-way methods that restore contaminated images by alternating between deblurring and denoising. This paper describes Krylov subspace-based two-way alternating iterative methods that allow the application of regularization operators different from the identity in both the deblurring and the denoising steps. Numerical examples show that this can improve the quality of the computed restorations. The methods are particularly attractive when matrix-vector products with a discrete blurring operator and its transpose can be evaluated rapidly, but the structure of these operators does not allow inexpensive diagonalization.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 236, Issue 8, February 2012, Pages 2049-2062
نویسندگان
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