Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

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",
  annote="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.",
  address="NEUVEDEN",
  chapter="76274",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="2011",
  volume="2011",
  year="2011",
  month="february",
  pages="1--20",
  publisher="NEUVEDEN",
  type="journal article - other"
}