Publication Details

Evolutionary Design of Robust Noise-Specific Image Filters

VAŠÍČEK, Z.; BIDLO, M. Evolutionary Design of Robust Noise-Specific Image Filters. In 2011 IEEE Congress on Evolutionary Computation. New Orleans: IEEE Computer Society, 2011. p. 269-276. ISBN: 978-1-4244-7834-7.
Czech title
Evoluční návrh robustních obrazových filtrů pro vybrané typy šumů
Type
conference paper
Language
English
Authors
URL
Keywords

Evolutionary algorithm, image filter, impulse noise.

Abstract

Evolutionary design has shown as a powerful technique in solving various
engineering problems. One of the areas in which this approach succeeds is digital
image processing. Image filtering represents a wide topic in 2D signal
processing. In this case different types of noise are considered in the filtering
process to restore the image quality that has been decreased by changing values
of some pixels in the image (e.g. due to the transmission through unreliable
lines or in the process of acquiring the image). Impulse noise represents a basic
type of non-linear noise typically affecting a single pixel in different regions
of the image. In order to eliminate this type noise median filters have usually
been applied. However, for higher noise intensity or wide range of the noise
values this approach leads to corrupting non-noise pixels as well which results
in images that are smudged or lose some details after the filtering process.
Therefore, advanced filtering techniques have been developed including a concept
of noise detection or iterative filtering algorithms. In case of the high noise
intensity, a single filtering step is insufficient to eliminate the noise and
obtain a reasonable quality of the filtered image. Therefore, iterative filters
have been introduced. In this paper we apply an evolutionary algorithm combined
with Cartesian Genetic Programing representation to design image filters for the
impulse noise that are able to compete with some of the best conventionally used
iterative filters. We consider the concept of noise detection to be designed
together with the filter itself by means of the evolutionary algorithm. Finally,
it will be shown that if the evolved filter is applied iteratively on the
filtered image, a high-quality results can be obtained utilizing lower
computational effort of the filtering process in comparison with the conventional
iterative filters.

Published
2011
Pages
269–276
Proceedings
2011 IEEE Congress on Evolutionary Computation
Conference
2011 IEEE Congress on Evolutionary Computation, New Orleans, US
ISBN
978-1-4244-7834-7
Publisher
IEEE Computer Society
Place
New Orleans
DOI
UT WoS
000312932600038
EID Scopus
BibTeX
@inproceedings{BUT76463,
  author="Zdeněk {Vašíček} and Michal {Bidlo}",
  title="Evolutionary Design of Robust Noise-Specific Image Filters",
  booktitle="2011 IEEE Congress on Evolutionary Computation",
  year="2011",
  pages="269--276",
  publisher="IEEE Computer Society",
  address="New Orleans",
  doi="10.1109/CEC.2011.5949628",
  isbn="978-1-4244-7834-7",
  url="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5949628&tag=1"
}
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