The Genetic Algorithm Use in the Searching of the Best Fitting Wavelet Visual Weighting Function (CROSBI ID 473714)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Rimac-Drlje, Snježana ; Seršić, Krešimir ; Urbiha, Igor
engleski
The Genetic Algorithm Use in the Searching of the Best Fitting Wavelet Visual Weighting Function
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.
discrete wavelet transform; image compression; human vision system; genetic algorithms
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Podaci o prilogu
99-102-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
INES 2000, 2000 IEEE International Conference on Intelligent Engineering Systems
Žlajpah, Leon ; Rudas, Imre J.
Ljubljana: Institute "Jožef Stefan"
Podaci o skupu
2000 IEEE International Conference on Intelligent Engineering Systems
predavanje
17.09.2000-19.09.2000
Portorož, Slovenija