کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4638683 1632019 2014 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Preconditioners for image restoration by reblurring techniques
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Preconditioners for image restoration by reblurring techniques
چکیده انگلیسی

It is well known that iterative algorithms for image deblurring that involve the normal equations show usually a slow convergence. A variant of the normal equations which replaces the conjugate transpose AHAH of the system matrix AA with a new matrix is proposed. This approach, which is linked with regularization preconditioning theory and reblurring processes, can be applied to a wide set of iterative methods; here we examine Landweber, Steepest descent, Richardson–Lucy and Image Space Reconstruction Algorithm. Several computational tests show that this strategy leads to a significant improvement of the convergence speed of the methods. Moreover it can be naturally combined with other widely used acceleration techniques.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 272, 15 December 2014, Pages 313–333
نویسندگان
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