Denoising using linear and nonlinear multiresolutions II: cell‐average framework and color images

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.