Convex 1-D Total Variation Denoising with Non-convex Regularization
نویسندگان
چکیده
منابع مشابه
Non-convex hybrid total variation for image denoising
1047-3203/$ see front matter 2013 Elsevier Inc. A http://dx.doi.org/10.1016/j.jvcir.2013.01.010 ⇑ Corresponding author. E-mail addresses: [email protected] (S. Oh), hye [email protected] (S. Yun), [email protected] (M Image restoration problems, such as image denoising, are important steps in various image processing method, such as image segmentation and object recognition. Due to the edge p...
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Fig. 3: FA maps from the original (left), and the denoised (right) DTI data set. Magnified views of a ROI (bottom) demonstrate feature preservation in fine structures. Fig. 1: A numerical example of spatially variant regularization. (a) A numerical test image. (b) Noisy test image. (c) TV denoising with λ=20. (d) TV denoising with λ=10. (e) λ map: λ=10 (dark region) and λ=20 (bright region). (f...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2015
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2014.2349356