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Soft Computing

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19.09.2017 | Focus

Adaptive switching filter for impulse noise removal in digital content

verfasst von: Jee Yon Lee, Sun Young Jung, Pyoung Won Kim

Erschienen in: Soft Computing | Ausgabe 5/2018

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Abstract

In this paper, a new fuzzy-rule-based impulse noise denoising method that removes unwanted artifacts and reconstructs original images is proposed. The proposed method is based on the fuzzy rule selective approach, which has four sub-methods. The proposed method can effectively remove noise artifacts that are caused by various levels of impulse noise. Simulation results show that the presented method outperforms conventional methods. The proposed method can be directly applied to various consumer electronics displays.

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Titel: Adaptive switching filter for impulse noise removal in digital content
verfasst von: Jee Yon Lee
Sun Young Jung
Pyoung Won Kim
Publikationsdatum: 19.09.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 5/2018
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2843-9

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