Detail publikace

Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems

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

Originální název

Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

A bioinspired, evolutionary algorithm for optimizing wavelet transforms oriented to improve image compression in embedded systems is proposed, modelled, and validated here. A simplified version of an Evolution Strategy, using fixed point arithmetic and a hardware-friendly mutation operator, has been chosen as the search algorithm. Several cutdowns on the computing requirements have been done to the original algorithm, adapting it for an FPGA implementation. The work presented in this paper describes the algorithm as well as the test strategy developed to validate it, showing several results in the effort to find a suitable set of parameters that assure the success in the evolutionary search. The results show how high-quality transforms are evolved from scratch with limited precision arithmetic and a simplified algorithm. Since the intended deployment platform is an FPGA, HW/SW partitioning issues are also considered as well as code profiling accomplished to validate the proposal, showing some preliminary results of the proposed hardware architecture.

Klíčová slova

evolution strategy, wavelet transform, FPGA, image compression

Autoři

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

Rok RIV

2011

Vydáno

17. 2. 2011

ISSN

1687-6172

Periodikum

EURASIP Journal on Advances in Signal Processing

Ročník

2011

Číslo

2011

Stát

Spojené státy americké

Strany od

1

Strany do

20

Strany počet

20

URL

http://asp.eurasipjournals.com/content/2011/1/973806/

BibTex

@article{BUT76274,
  author="Ruben {Salvador} and Felix {Moreno} and Teresa {Riesgo} and Lukáš {Sekanina}",
  title="Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems",
  journal="EURASIP Journal on Advances in Signal Processing",
  year="2011",
  volume="2011",
  number="2011",
  pages="1--20",
  issn="1687-6172",
  url="http://asp.eurasipjournals.com/content/2011/1/973806/"
}