Detail publikace

Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems

Originální název

Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems

Anglický název

Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems

Jazyk

en

Originální abstrakt

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

Anglický abstrakt

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

BibTex


@inproceedings{BUT76379,
  author="Ruben {Salvador} and Alberto {Vidal} and Felix {Moreno} and Teresa {Riesgo} and Lukáš {Sekanina}",
  title="Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems",
  annote="A generic bio-inspired adaptive architecture for image compression suitable to be
implemented in embedded systems is presented. The architecture allows the system
to be tuned during its calibration phase. An evolutionary algorithm is
responsible of making the system evolve towards the required performance.
A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive
wavelet transform core directed at improving image compression for specific types
of images. An Evolution Strategy has been chosen as the search algorithm and its
typical genetic operators adapted to allow for a hardware friendly
implementation. HW/SW partitioning issues are also considered after a high level
description of the algorithm is profiled which validates the proposed resource
allocation in the device fabric. To check the robustness of the system and its
adaptation capabilities, different types of images have been selected as
validation patterns. A direct application of such a system is its deployment in
an unknown environment during design time, letting the calibration phase adjust
the system parameters so that it performs efcient image compression. Also, this
prototype implementation may serve as an accelerator for the automatic design of
evolved transform coefficients which are later on synthesized and implemented in
a non-adaptive system in the final implementation device, whether it is a HW or
SW based computing device. The architecture has been built in a modular way so
that it can be easily extended to adapt other types of image processing cores.
Details on this pluggable component point of view are also given in the paper.",
  address="SPIE - the international society for optics and photonics",
  booktitle="VLSI Circuits and Systems V",
  chapter="76379",
  edition="Proc. of SPIE Vol. 8067",
  howpublished="print",
  institution="SPIE - the international society for optics and photonics",
  year="2011",
  month="june",
  pages="1--13",
  publisher="SPIE - the international society for optics and photonics",
  type="conference paper"
}