DCCE/IBILCE, UNESP-São Paulo State University, Rua Cristóvão Colombo 2265, 15054-000 São José do Rio Preto, SP, Brazil
Copyright © 2010 Wallace Correa de Oliveira Casaca and Maurílio Boaventura. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
We propose a new method that is aimed at denoising images having textures. The method
combines a balanced nonlinear partial differential equation driven by optimal parameters, mathematical morphology
operators, weighting techniques, and some recent works in harmonic analysis. Furthermore, the new scheme
decomposes the observed image into three components that are well defined as structure/cartoon, texture, and
noise-background. Experimental results are provided to show the improved performance of our method for the
texture-preserving denoising problem.