Conference paper

SALVADOR Ruben, VIDAL Alberto, MORENO Felix, RIESGO Teresa and SEKANINA Lukáš. Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems. In: VLSI Circuits and Systems V. Bellingham: SPIE - the international society for optics and photonics, 2011, pp. 1-13. ISBN 978-0-8194-8656-1.
Publication language:english
Original title:Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems
Title (cs):Biologií inspirovaná architektura v FPGA pro samokalibraci obrazové komprese založené na vlnkové transformaci ve vestavěných systémech
Pages:1-13
Proceedings:VLSI Circuits and Systems V
Conference:SPIE Microtechnologies 2011
Series:Proc. of SPIE Vol. 8067
Place:Bellingham, US
Year:2011
ISBN:978-0-8194-8656-1
Publisher:SPIE - the international society for optics and photonics
Keywords
wavelet transform, FPGA, image compression, calibration
Annotation
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{
   author = {Ruben Salvador and Alberto Vidal and Felix Moreno and Teresa
	Riesgo and Luk{\'{a}}{\v{s}} Sekanina},
   title = {Bio-inspired FPGA architecture for self-calibration of an
	image compression core based on wavelet transforms in
	embedded systems},
   pages = {1--13},
   booktitle = {VLSI Circuits and Systems V},
   series = {Proc. of SPIE Vol. 8067},
   year = {2011},
   location = {Bellingham, US},
   publisher = {SPIE - the international society for optics and photonics},
   ISBN = {978-0-8194-8656-1},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9661}
}

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