کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392170 664685 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image restoration using total variation with overlapping group sparsity
ترجمه فارسی عنوان
ترمیم تصویر با استفاده از تنوع کامل با اسپارتیس گروه همپوشانی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Image restoration is one of the most fundamental issues in imaging science. Total variation regularization is widely used in image restoration problems for its capability to preserve edges. In the literature, however, it is also well known for producing staircase artifacts. In this work we extend the total variation with overlapping group sparsity, which we previously developed for one dimension signal processing, to image restoration. A convex cost function is given and an efficient algorithm is proposed for solving the corresponding minimization problem. In the experiments, we compare our method with several state-of-the-art methods. The results illustrate the efficiency and effectiveness of the proposed method in terms of PSNR and computing time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 295, 20 February 2015, Pages 232–246
نویسندگان
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