کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4948365 | 1439611 | 2016 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Total variation with overlapping group sparsity for speckle noise reduction
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Staircase effect usually happens on the total variation (TV) regularized solutions, while the overlapping group sparsity total variation (OGSTV) as a regularization has been proved to be effective for alleviating this drawback. For coherent imaging systems, such as the synthetic aperture radar, the acquired images are corrupted by speckles. In this paper, we propose a speckle noise reduction model based on the regularization of OGSTV. Under the framework of efficient alternating direction method of multipliers, we develop the corresponding algorithm for solving the proposed model. Numerical experiments are presented to illustrate the superiority of the proposed model and efficiency of the corresponding algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 216, 5 December 2016, Pages 502-513
Journal: Neurocomputing - Volume 216, 5 December 2016, Pages 502-513
نویسندگان
Jun Liu, Ting-Zhu Huang, Gang Liu, Si Wang, Xiao-Guang Lv,