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Proceedings Paper

A multi-stage noise adaptive switching filter for extremely corrupted images
Author(s): Hai Dinh; Reza Adhami; Yi Wang
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Paper Abstract

A multi-stage noise adaptive switching filter (MSNASF) is proposed for the restoration of images extremely corrupted by impulse and impulse-like noise. The filter consists of two steps: noise detection and noise removal. The proposed extrema-based noise detection scheme utilizes the false contouring effect to get better over detection rate at low noise density. It is adaptive and will detect not only impulse but also impulse-like noise. In the noise removal step, a novel multi-stage filtering scheme is proposed. It replaces corrupted pixel with the nearest uncorrupted median to preserve details. When compared with other methods, MSNASF provides better peak signal to noise ratio (PSNR) and structure similarity index (SSIM). A subjective evaluation carried out online also demonstrates that MSNASF yields higher fidelity.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311Q (6 July 2015); doi: 10.1117/12.2196969
Show Author Affiliations
Hai Dinh, Univ. of Alabama in Huntsville (United States)
Reza Adhami, Univ. of Alabama in Huntsville (United States)
Yi Wang, Univ. of Alabama in Huntsville (United States)


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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