An improved peer group method to filter impulsive noise for color images

Yuhong Zhu; Huageng Jiang; Jinting Feng

doi:10.1117/12.2196996

6 July 2015 An improved peer group method to filter impulsive noise for color images

Yuhong Zhu, Huageng Jiang, Jinting Feng

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963106 (2015) https://doi.org/10.1117/12.2196996
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

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.

Citation Download Citation

Yuhong Zhu, Huageng Jiang, and Jinting Feng "An improved peer group method to filter impulsive noise for color images", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963106 (6 July 2015); https://doi.org/10.1117/12.2196996

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KEYWORDS

Image filtering

Digital filtering

Nonlinear filtering

RGB color model

Optical filters

Switching

Image processing

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