Wavelet Order Statistics Filters for Image Denoising
DOI:
https://doi.org/10.3329/jsr.v1i2.2311Keywords:
Wavelet domain, Order statistics filters.Abstract
This paper presents the wavelet order statistics filters for the removal of impulsive and speckle noise in color image applications. The proposed filtering scheme is defined as two filters in the wavelet domain to conform to the structure of a general filter that can be modified in some headings. The first filter is based on redundancy of approaches and the second one is the wavelet domain iterative center weighted median algorithm. With the structure of the proposed filter different implementations for the estimation of the noisy sample are carried out using different order statistics algorithms that by their good performance can be beneficial in color image processing applications.
Keywords: Wavelet domain; Order statistics filters.
© 2009 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245
(Online). All rights reserved.
DOI: 10.3329/jsr.v1i2.2311
Downloads
116
87
Downloads
Published
How to Cite
Issue
Section
License
© Journal of Scientific Research
Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.