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Proceedings Paper

An improved peer group method to filter impulsive noise for color images
Author(s): Yuhong Zhu; Huageng Jiang; Jinting Feng
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Paper Abstract

This paper presents an improved filter method based on the lately proposed method of IFPGF[1] which is peer group-based. The IFPGF method improves the trade-off between computational efficiency and filtering quality of previous peer group-based methods and gains a good filtering quality at relatively low density of noisy pixels. But when the noisy density goes high(≥20%), the IFPGF method cannot work well. So in this paper, we propose an improved method to fix the drawbacks on filtering the salt-and-pepper impulsive noise. Experimental results suggest that the proposed method is able to outperform the classical vector filters and the recent proposed p eer group-based filters, including IFPGF.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963106 (6 July 2015); doi: 10.1117/12.2196996
Show Author Affiliations
Yuhong Zhu, Jilin Univ. (China)
Huageng Jiang, Jilin Univ. (China)
Jinting Feng, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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