A multi-stage noise adaptive switching filter for extremely corrupted images

Hai Dinh; Reza Adhami; Yi Wang

doi:10.1117/12.2196969

6 July 2015 A multi-stage noise adaptive switching filter for extremely corrupted images

Hai Dinh, Reza Adhami, Yi Wang

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96311Q (2015) https://doi.org/10.1117/12.2196969
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

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.

Citation Download Citation

Hai Dinh, Reza Adhami, and Yi Wang "A multi-stage noise adaptive switching filter for extremely corrupted images", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311Q (6 July 2015); https://doi.org/10.1117/12.2196969

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KEYWORDS

Digital filtering

Image filtering

Switching

Image quality

Detection and tracking algorithms

Image processing

Signal to noise ratio

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