کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4616886 | 1339361 | 2013 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Total variation time flow with quantile regression for image restoration
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آنالیز ریاضی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
We analyze the time flow of a modification of the standard Rudin-Osher-Fatemi (ROF) model for image restoration using the bounded variation semi-norm. The solution of the minimization problem is a restored image in the space of bounded variation (BV) recovered from a corrupted one, and the functional may include a more general term S(x,u) rather than the L2 penalty term as used in the original ROF model. These new models were introduced in Osher and Scherzer (2004) [31]. In particular, we will examine the non-differentiable quantile regression penalty. We will define an appropriate weak solution of the time flow and in particular prove the existence in Lâ([0,â);BV) and Lâ stability.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Mathematical Analysis and Applications - Volume 403, Issue 1, 1 July 2013, Pages 272-282
Journal: Journal of Mathematical Analysis and Applications - Volume 403, Issue 1, 1 July 2013, Pages 272-282
نویسندگان
Thomas Wunderli,