کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4947999 | 1439605 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust image restoration via random projection and partial sorted âp norm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Image restoration plays an important role in video technology. In this paper, a robust image and video denoising method, based on random projection and partial sorted âp-norm, is proposed. First, the input signal is decomposed into two components: a low rank component and a sparse component. The low rank component is approximated by random projection. Second, the sparse one is recovered by partial sorted âp-norm. A generalized iterative thresholding shrinkage solver is developed for the resulting problem. Some theoretical results about sparse random projection are provided. Numerical experiments for mixed Gaussian and random value impulsive noise demonstrated that the proposed method outperforms some state-of-art restoration methods, both quantitatively and visually.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 222, 26 January 2017, Pages 72-80
Journal: Neurocomputing - Volume 222, 26 January 2017, Pages 72-80
نویسندگان
Han Pan, Zhongliang Jing, Minzhe Li,