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

Research Article

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

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

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.

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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

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Authors

Wang Shitong

Li Yueyang

F.L. Chung

Chen Shu

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Research Article

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

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