Denoising using linear and nonlinear multiresolutions II: cell‐average framework and color images
Sergio Amat, Juan Ruiz, J. Carlos Trillo · Engineering Computations · 2009
Purpose Multiresolution representations of data are classical tools in image processing applications. The purpose of this paper is to discuss a particular problem, obtaining good reconstructions of noise images. Design/methodology/approach A nonlinear multiresolution scheme within Harten's framework corresponding to a nonlinear cell‐average technique is used for color image denoising. Findings This paper finds it is possible, for example, to apply the theoretical framework to case studies in internationally operating companies delivering a mix of goods and services. Research limitations/implications The present study provides a starting point for further research in the denoising problems using nonlinear techniques. Originality/value Moreover, the proposed framework has proven to be useful in improving the classical linear multiresolution approaches.