Efficient algorithm for salt and pepper noise removal

Gouse Mohiuddin Kosgiker

doi:10.1117/12.896169

1 July 2011 Efficient algorithm for salt and pepper noise removal

Gouse Mohiuddin Kosgiker

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800903 (2011) https://doi.org/10.1117/12.896169
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

In this paper an efficient nonlinear decision based filter is proposed to remove salt and pepper impulse noise. Propose filter is a two stage filter that incorporates a powerful impulse noise detection method, called the modified boundary discriminative noise detection (MBDND) [1] to determine whether the current pixel is corrupted or not. In the second stage a Euclidean distance algorithm [2] is used to restore the corrupted pixels. Extensive experimental results demonstrate that proposed filters performs significantly better than many existing, well accepted and recently proposed median and decision based filters for both gray scale and color images corrupted up to 70% of salt and pepper noise.

Citation Download Citation

Gouse Mohiuddin Kosgiker "Efficient algorithm for salt and pepper noise removal", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800903 (1 July 2011); https://doi.org/10.1117/12.896169

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KEYWORDS

Digital filtering

Image filtering

Optical filters

Filtering (signal processing)

Denoising

Nonlinear filtering

Single mode fibers

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