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

• 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

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-standard numerical procedure is suggested and its stability is analyzed to effectively solve the NC diffusion model which is mathematically unstable. It has been numerically verified that the resulting algorithm incorporating the NC diffusion and TFR parameterization is able to not only reduce the noise satisfactorily but also enhance edges effectively, at the same time.