Detail publikace

Evolution of Impulse Bursts Noise Filters

Originální název

Evolution of Impulse Bursts Noise Filters

Anglický název

Evolution of Impulse Bursts Noise Filters

Jazyk

en

Originální abstrakt

The paper deals with evolutionary design of impulse bursts noise filters. As proposed filters utilize the filtering window of 5 × 5 pixels, the design method has to be able to manage 25 eight-bit inputs. The large number of inputs results in an evolutionary algorithm not able to produce reasonably working filters because of the so-called scalability problem of evolutionary circuit design. However, the filters are designed using an extended version of Cartesian Genetic Programming which enables to reduce the number of inputs by selecting the most important of them. Experimental evaluation of the method has shown that evolved filters exhibit better results than conventional solutions based on various median filters.

Anglický abstrakt

The paper deals with evolutionary design of impulse bursts noise filters. As proposed filters utilize the filtering window of 5 × 5 pixels, the design method has to be able to manage 25 eight-bit inputs. The large number of inputs results in an evolutionary algorithm not able to produce reasonably working filters because of the so-called scalability problem of evolutionary circuit design. However, the filters are designed using an extended version of Cartesian Genetic Programming which enables to reduce the number of inputs by selecting the most important of them. Experimental evaluation of the method has shown that evolved filters exhibit better results than conventional solutions based on various median filters.

BibTex


@inproceedings{BUT33790,
  author="Zdeněk {Vašíček} and Michal {Bidlo} and Lukáš {Sekanina} and Jim {Torresen} and Kyrre {Glette} and Marcus {Furuholmen}",
  title="Evolution of Impulse Bursts Noise Filters",
  annote="The paper deals with evolutionary design of impulse bursts noise filters. As
proposed filters utilize the filtering
window of 5 × 5 pixels, the design method has to be able to manage 25 eight-bit
inputs. The large number of inputs results in an evolutionary algorithm not able
to produce reasonably working filters because of the so-called scalability
problem of evolutionary circuit design. However, the filters are designed using
an extended version of Cartesian Genetic Programming which enables to reduce the
number of inputs by selecting the most important of them. Experimental evaluation
of the method has shown that evolved filters exhibit better results than
conventional solutions based on various median filters.",
  address="IEEE Computer Society",
  booktitle="Proc. of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems",
  chapter="33790",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2009",
  month="august",
  pages="27--34",
  publisher="IEEE Computer Society",
  type="conference paper"
}