Denoising using linear and nonlinear multiresolutions II: cell‐average framework and color images
Abstract
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.
Keywords
Citation
Amat, S., Ruiz, J. and Carlos Trillo, J. (2009), "Denoising using linear and nonlinear multiresolutions II: cell‐average framework and color images", Engineering Computations, Vol. 26 No. 7, pp. 806-827. https://doi.org/10.1108/02644400910985189
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited