Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101773" target="_blank" >RIV/00216305:26230/12:PU101773 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.micpro.2012.02.002" target="_blank" >http://dx.doi.org/10.1016/j.micpro.2012.02.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.micpro.2012.02.002" target="_blank" >10.1016/j.micpro.2012.02.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling

Popis výsledku v původním jazyce

Adaptive embedded systems are required in various applications. This work addresses these needs in the area of adaptive image compression in FPGA devices. A simplified version of an evolution strategy is utilized to optimize wavelet filters of a DiscreteWavelet Transform algorithm. We propose an adaptive image compression system in FPGA where optimized memory architecture, parallel processing and optimized task scheduling allow reducing the time of evolution. The proposed solution has been extensivelyevaluated in terms of the quality of compression as well as the processing time. The proposed architecture reduces the time of evolution by 44% compared to our previous reports while maintaining the quality of compression unchanged with respect to existing implementations. The system is able to find an optimized set of wavelet filters in less than 2 min whenever the input type of data changes.

Název v anglickém jazyce

Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling

Popis výsledku anglicky

Adaptive embedded systems are required in various applications. This work addresses these needs in the area of adaptive image compression in FPGA devices. A simplified version of an evolution strategy is utilized to optimize wavelet filters of a DiscreteWavelet Transform algorithm. We propose an adaptive image compression system in FPGA where optimized memory architecture, parallel processing and optimized task scheduling allow reducing the time of evolution. The proposed solution has been extensivelyevaluated in terms of the quality of compression as well as the processing time. The proposed architecture reduces the time of evolution by 44% compared to our previous reports while maintaining the quality of compression unchanged with respect to existing implementations. The system is able to find an optimized set of wavelet filters in less than 2 min whenever the input type of data changes.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Microprocessors and Microsystems

ISSN

0141-9331

e-ISSN

—

Svazek periodika

36

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

427-438

Kód UT WoS článku

000307419300012

EID výsledku v databázi Scopus

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