Total Variation Denoising With Non-Convex Regularizers
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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The Total Variation denoising method, proposed by Rudin, Osher and Fatermi, 92, is a PDE-based algorithm for edge-preserving noise removal. The images resulting from its application are usually piecewise constant, possibly with a staircase eeect at smooth transitions and may contain signiicantly less ne details than the original non-degraded image. In this paper we present some extensions to th...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2018.2888944