论文信息 - Wavelet Order Statistics Filters for Image Denoising

Wavelet Order Statistics Filters for Image Denoising

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

Francisco J. Gallegos-Funes | José Luis López-Bonilla | Rene Cruz-Santiago | J Martínez-Valdés

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