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VAŠÍČEK, Z. BIDLO, M. SEKANINA, L. GLETTE, K.
Original Title
Evolutionary Design of Efficient and Robust Switching Image Filters
Type
conference paper
Language
English
Original Abstract
This paper proposes an evolutionary approach based on Cartesian Genetic Programming to the design of image filters for impulse burst noise. The impulse burst noise belongs to more serious image distortions that cause a loss of information in a series of pixels together. The results introduced herein represent a continuation of our research in the design of high-quality image filters. Whilst the previous experiments considered only basic impulse burst noise in which a burst corrupting a series of pixels could take a single value, this paper is devoted to the filtering of more realistic noise of this type where the pixels in a burst can take different values. In order to increase the probability of removing the noise pixels while retaining other pixels unchanged, the concept of switching filter will be applied. In our case it means that the filter system is designed by evolution of both a filter circuit and a noise detector. We show that the proposed method is able to design an efficient and robust impulse burst noise filter that exhibits better filtering properties in comparison with several conventional approaches and, moreover, it is also suitable for a high-speed image processing.
Keywords
image filter, evolutionary design, impulse burst noise, digital circuit
Authors
VAŠÍČEK, Z.; BIDLO, M.; SEKANINA, L.; GLETTE, K.
RIV year
2011
Released
15. 6. 2011
Publisher
IEEE Computer Society
Location
Los Alamitos
ISBN
978-1-4577-0599-1
Book
Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems
Pages from
192
Pages to
199
Pages count
8
URL
https://www.fit.vut.cz/research/publication/9680/
BibTex
@inproceedings{BUT76398, author="Zdeněk {Vašíček} and Michal {Bidlo} and Lukáš {Sekanina} and Kyrre {Glette}", title="Evolutionary Design of Efficient and Robust Switching Image Filters", booktitle="Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems", year="2011", pages="192--199", publisher="IEEE Computer Society", address="Los Alamitos", doi="10.1109/ahs.2011.5963935", isbn="978-1-4577-0599-1", url="https://www.fit.vut.cz/research/publication/9680/" }