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Statements

Subject Item
n2:RIV%2F61988987%3A17610%2F08%3AA1000EMQ%21RIV10-MSM-17610___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
With some modifications, we adopt the coding/decoding method of image processing based on the direct and inverse fuzzy transforms defined in previous papers. We have considered 100 images of sizes 256 x 256 (pixels) extracted from the wellknown database Corel Galery (Arizona Directory). A comparison with the coding/decoding method of image processing based on the fuzzy relation equations with the Lukasiewicz triangular norm is also presented. By using the same compression rate in both methods, the results show that the PSNR obtained with the usage of direct and inverse fuzzy transforms is higher than the PSNR determined with fuzzy relation equations. With some modifications, we adopt the coding/decoding method of image processing based on the direct and inverse fuzzy transforms defined in previous papers. We have considered 100 images of sizes 256 x 256 (pixels) extracted from the wellknown database Corel Galery (Arizona Directory). A comparison with the coding/decoding method of image processing based on the fuzzy relation equations with the Lukasiewicz triangular norm is also presented. By using the same compression rate in both methods, the results show that the PSNR obtained with the usage of direct and inverse fuzzy transforms is higher than the PSNR determined with fuzzy relation equations.
dcterms:title
An image coding/decoding method based on direct and inverse fuzzy transforms An image coding/decoding method based on direct and inverse fuzzy transforms
skos:prefLabel
An image coding/decoding method based on direct and inverse fuzzy transforms An image coding/decoding method based on direct and inverse fuzzy transforms
skos:notation
RIV/61988987:17610/08:A1000EMQ!RIV10-MSM-17610___
n5:aktivita
n10:P
n5:aktivity
P(1M0572)
n5:cisloPeriodika
1
n5:dodaniDat
n14:2010
n5:domaciTvurceVysledku
n17:9347453
n5:druhVysledku
n11:J
n5:duvernostUdaju
n15:S
n5:entitaPredkladatele
n13:predkladatel
n5:idSjednocenehoVysledku
355677
n5:idVysledku
RIV/61988987:17610/08:A1000EMQ
n5:jazykVysledku
n6:eng
n5:klicovaSlova
Fuzzy sets; Fuzzy logic; Approximation method; Image coding; Image reconstruction
n5:klicoveSlovo
n12:Approximation%20method n12:Image%20reconstruction n12:Fuzzy%20sets n12:Fuzzy%20logic n12:Image%20coding
n5:kodStatuVydavatele
US - Spojené státy americké
n5:kontrolniKodProRIV
[900F477A5A23]
n5:nazevZdroje
International Journal of Appr. reasoning
n5:obor
n8:BA
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
4
n5:projekt
n16:1M0572
n5:rokUplatneniVysledku
n14:2008
n5:svazekPeriodika
48
n5:tvurceVysledku
Sessa, Salvatore Loia, Vincezno Perfilieva, Irina Di Martino, Ferdinando
n5:wos
000255074500009
s:issn
0888-613X
s:numberOfPages
22
n18:organizacniJednotka
17610