Detail publikace

Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems

SALVADOR, R. MORENO, F. RIESGO, T. SEKANINA, L.

Originální název

Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems

Anglický název

Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems

Jazyk

en

Originální abstrakt

This paper describes the initial studies of an Evolution Strategy aimed at implementation on embedded systems for the evolution of Wavelet Transforms for image compression. Previous works in the literature have already been proved useful for this application, but they are highly computationally intensive. Therefore, the work described here, deals with the simplifications made to those algorithms to reduce their computing requirements. Several optimizations have been done in the evaluation phase and in the EA operators. The results presented show how the proposed algorithm cut outs still allow for good results to be achieved, while effectively reducing the computing requirements.

Anglický abstrakt

This paper describes the initial studies of an Evolution Strategy aimed at implementation on embedded systems for the evolution of Wavelet Transforms for image compression. Previous works in the literature have already been proved useful for this application, but they are highly computationally intensive. Therefore, the work described here, deals with the simplifications made to those algorithms to reduce their computing requirements. Several optimizations have been done in the evaluation phase and in the EA operators. The results presented show how the proposed algorithm cut outs still allow for good results to be achieved, while effectively reducing the computing requirements.

Dokumenty

BibTex


@inproceedings{BUT35525,
  author="Ruben {Salvador} and Felix {Moreno} and Teresa {Riesgo} and Lukáš {Sekanina}",
  title="Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems",
  annote="This paper describes the initial studies of an Evolution Strategy aimed at
implementation on embedded systems for the evolution of Wavelet Transforms for
image compression. Previous works in the literature have already been proved
useful for this application, but they are highly computationally intensive.
Therefore, the work described here, deals with the simplifications made to those
algorithms to reduce their computing requirements. Several optimizations have
been done
in the evaluation phase and in the EA operators. The results presented show how
the proposed algorithm cut outs still allow for good results to be achieved,
while effectively reducing the computing requirements.",
  address="IEEE Computer Society",
  booktitle="Proc. of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems",
  chapter="35525",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2010",
  month="june",
  pages="177--184",
  publisher="IEEE Computer Society",
  type="conference paper"
}