Pregled bibliografske jedinice broj: 41203
The Genetic Algorithm Use in the Searching of the Best Fitting Wavelet Visual Weighting Function
The Genetic Algorithm Use in the Searching of the Best Fitting Wavelet Visual Weighting Function // INES 2000, 2000 IEEE International Conference on Intelligent Engineering Systems / Žlajpah, Leon ; Rudas, Imre J. (ur.).
Ljubljana: Institute "Jožef Stefan", 2000. str. 99-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 41203 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Genetic Algorithm Use in the Searching of the Best Fitting Wavelet Visual Weighting Function
Autori
Rimac-Drlje, Snježana ; Seršić, Krešimir ; Urbiha, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
INES 2000, 2000 IEEE International Conference on Intelligent Engineering Systems
/ Žlajpah, Leon ; Rudas, Imre J. - Ljubljana : Institute "Jožef Stefan", 2000, 99-102
Skup
2000 IEEE International Conference on Intelligent Engineering Systems
Mjesto i datum
Portorož, Slovenija, 17.09.2000. - 19.09.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
discrete wavelet transform; image compression; human vision system; genetic algorithms
Sažetak
The discrete wavelet transform (DWT) is suitable for still image compression, and by using visually tuned quantization the quality of such images can be improved. We use measured results of the human vision system (HVS) sensitivity to the wavelet quantization noise to establish wavelet visual weighting function W_v(u,v). By using a genetic algorithm we estimate parameters of the function Wv(u,v) to give the best approximation in the L_1 norm of the measured values.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
037010
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb
