A non-convex diffusion model for simultaneous image denoising and edge enhancement

A non-convex diffusion model for simultaneous image denoising and edge enhancement

Mathematical restoration models, in particular, total variation-based models can easily lose fine structures during image denoising. In order to overcome the drawback, this article introduces two strategies: the non-convex (NC) diffusion and the texture-free residual (TFR) parameterization. A non-st...

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Bibliographic Details
Main Authors: Seongjai Kim, Hyeona Lim
Format: Article
Language:English
Published: Texas State University 2007-02-01
Series:Electronic Journal of Differential Equations
Subjects:
Fine structures
denoising
edge enhancement
nonphysical dissipation
total variation (TV) model
non-convex (NC) diffusion model
texture-free residual (TFR) parameterization.
Online Access:http://ejde.math.txstate.edu/conf-proc/15/k1/abstr.html

Internet

http://ejde.math.txstate.edu/conf-proc/15/k1/abstr.html

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