Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Information Technology Journal
  Year: 2005 | Volume: 4 | Issue: 4 | Page No.: 456-461
DOI: 10.3923/itj.2005.456.461
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Iterative Self-adaptive Filtering Algorithm for Reducing Impulsive Noise in Color Images

Wang Shitong, Li Yueyang , F.L. Chung and Chen Shu

Abstract:
In this study, an iterative self-adaptive filtering algorithm based on local extreme value noise detection for impulsive noise reduction in color images was presented. First, the new filter detects the corrupted image pixels; then, it replaces the corrupted pixels and preserves the original undistorted image pixels. The results here demonstrate that the proposed algorithm outperforms the standard multichannel filters in reducing impulsive noise and retaining edges and corners in color images. The distinctive advantage of the proposed algorithm is its very simplicity yet excellent performance.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    FPGA Implementation of Audio Enhancement Using Adaptive LMS Filters
  •    Video Forgery Detection Based on Non-Subsampled Contourlet Transform and Gradient Information
  •    A Robust and Simple Piecewise Approximation to SαS Distribution with Bi-Region Model
How to cite this article:

Wang Shitong, Li Yueyang , F.L. Chung and Chen Shu , 2005. Iterative Self-adaptive Filtering Algorithm for Reducing Impulsive Noise in Color Images. Information Technology Journal, 4: 456-461.

DOI: 10.3923/itj.2005.456.461

URL: https://scialert.net/abstract/?doi=itj.2005.456.461

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

Curve Bottom