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.
A nonlinear multiresolution scheme within Harten's framework corresponding to a nonlinear cell‐average technique is used for color image denoising.
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.
The present study provides a starting point for further research in the denoising problems using nonlinear techniques.
Moreover, the proposed framework has proven to be useful in improving the classical linear multiresolution approaches.
