Publication Details

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

SALVADOR, R.; MORENO, F.; RIESGO, T.; SEKANINA, L. Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems. Proc. of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2010. p. 177-184. ISBN: 978-1-4244-5888-2.
Czech title
Evoluční návrh a optimalizace vlnkové transformace pro kompresi obrazu ve vestavěných systémech
Type
conference paper
Language
English
Authors
Salvador Ruben (RG EHW)
Moreno Felix
Riesgo Teresa
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Keywords

evolution strategy, image compression, wavelet transform, embedded system

Abstract

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.

Published
2010
Pages
177–184
Proceedings
Proc. of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems
Conference
NASA/ESA Conference on Adaptive Hardware and Systems 2010, Anaheim, US
ISBN
978-1-4244-5888-2
Publisher
IEEE Computer Society
Place
Los Alamitos
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",
  booktitle="Proc. of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems",
  year="2010",
  pages="177--184",
  publisher="IEEE Computer Society",
  address="Los Alamitos",
  isbn="978-1-4244-5888-2"
}
Back to top