2012Jisuanji gongchengRequires access

A Novel Filtering Algorithm of High Density Salt and Pepper Noise

Zhu Shi-hu, Zhi Huang

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Abstract

(Abstract)Aiming at drawbacks of the poor denoising capacity for highdensity noised images, a novel filtering algorithm of high density salt and pepper noise is proposed in this paper. The algorithm is adopted to separate the pixels in the image into signal pixels and noise pixels. It calculates the median value of the non salt and pepper pixels in the window centered at the current salt and pepper pixel, while signal pixels hold their gray values and be output unprocessed. The steps above are repeated until there is no noise replaced. Experimental results show that the algorithm can suppress noise effectively and preserve the image details. Contrasted to the traditional median filtering algorithm and its improved algorithms, it has better filtering performance. (Key words )high density noise; salt and pepper noise; median filtering; noise detection; noise filtering DOI: 10.3969/j.issn.1000�3428.2012.18.055

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What this paper is about

(Abstract)Aiming at drawbacks of the poor denoising capacity for highdensity noised images, a novel filtering algorithm of high density salt and pepper noise is proposed in this paper. The algorithm is adopted to separate the pixels in the image into signal pixels and noise pixels. It calculates the median value of the non salt and pepper pixels in the window centered at the current salt and pepper pixel, while signal pixels hold their gray values and be output unprocessed. The steps above are repeated until there is no noise replaced. Experimental results show that the algorithm can suppress noise effectively and preserve the image details. Contrasted to the traditional median filtering algorithm and its improved algorithms, it has better filtering performance. (Key words )high density noise; salt and pepper noise; median filtering; noise detection; noise filtering DOI: 10.3969/j.issn.1000�3428.2012.18.055

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Available abstract

(Abstract)Aiming at drawbacks of the poor denoising capacity for highdensity noised images, a novel filtering algorithm of high density salt and pepper noise is proposed in this paper. The algorithm is adopted to separate the pixels in the image into signal pixels and noise pixels. It calculates the median value of the non salt and pepper pixels in the window centered at the current salt and pepper pixel, while signal pixels hold their gray values and be output unprocessed. The steps above are repeated until there is no noise replaced. Experimental results show that the algorithm can suppress noise effectively and preserve the image details. Contrasted to the traditional median filtering algorithm and its improved algorithms, it has better filtering performance. (Key words )high density noise; salt and pepper noise; median filtering; noise detection; noise filtering DOI: 10.3969/j.issn.1000�3428.2012.18.055

Key concepts: Salt-and-pepper noise, Median filter, Pixel, Computer science, Noise (video), Algorithm, Noise reduction, Dark-frame subtraction

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