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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F11%3APU95977%21RIV12-MSM-26230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
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 s 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 s
dcterms:title
Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems
skos:prefLabel
Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems
skos:notation
RIV/00216305:26230/11:PU95977!RIV12-MSM-26230___
n13:predkladatel
n14:orjk%3A26230
n3:aktivita
n16:P n16:Z
n3:aktivity
P(GAP103/10/1517), Z(MSM0021630528)
n3:cisloPeriodika
2011
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n20:7173873
n3:druhVysledku
n10:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
198505
n3:idVysledku
RIV/00216305:26230/11:PU95977
n3:jazykVysledku
n5:eng
n3:klicovaSlova
evolution strategy, wavelet transform, FPGA, image compression
n3:klicoveSlovo
n9:wavelet%20transform n9:FPGA n9:image%20compression n9:evolution%20strategy
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[31D299206247]
n3:nazevZdroje
EURASIP Journal on Advances in Signal Processing
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:projekt
n15:GAP103%2F10%2F1517
n3:rokUplatneniVysledku
n11:2011
n3:svazekPeriodika
2011
n3:tvurceVysledku
Moreno, Felix Riesgo, Teresa Salvador, Ruben Sekanina, Lukáš
n3:zamer
n8:MSM0021630528
s:issn
1687-6172
s:numberOfPages
20
n17:organizacniJednotka
26230