Author(s): Wang Shitong | Li Yueyang | F.L. Chung | Chen Shu
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 4;
Issue: 4;
Start page: 456;
Date: 2005;
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Keywords: Self-adaptive algorithm | color image processing | impulsive noise | multichannel filters
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.
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 4;
Issue: 4;
Start page: 456;
Date: 2005;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Self-adaptive algorithm | color image processing | impulsive noise | multichannel filters
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.
