Detail publikace

Evolutionary Design of Efficient and Robust Switching Image Filters

Originální název

Evolutionary Design of Efficient and Robust Switching Image Filters

Anglický název

Evolutionary Design of Efficient and Robust Switching Image Filters

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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",
  annote="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.",
  address="IEEE Computer Society",
  booktitle="Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems",
  chapter="76398",
  doi="10.1109/ahs.2011.5963935",
  edition="NEUVEDEN",
  howpublished="online",
  institution="IEEE Computer Society",
  year="2011",
  month="june",
  pages="192--199",
  publisher="IEEE Computer Society",
  type="conference paper"
}