Napredna pretraga

Pregled bibliografske jedinice broj: 108816

Adaptation methods of 2-D non-separable wavelet filter bank


Vrankić, Miroslav; Seršić, Damir
Adaptation methods of 2-D non-separable wavelet filter bank // Proceedings of International TICSP Workshop on Spectral Methods and Multirate Signal Processing SMMSP'02 / Saramaki, Tapio ; Egiazarian, Karen ; Astola, Jaakko (ur.).
Tampere, Finland: Tampere University of Technology, Finland, 2002. str. 235-242 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Adaptation methods of 2-D non-separable wavelet filter bank

Autori
Vrankić, Miroslav ; Seršić, Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of International TICSP Workshop on Spectral Methods and Multirate Signal Processing SMMSP'02 / Saramaki, Tapio ; Egiazarian, Karen ; Astola, Jaakko - Tampere, Finland : Tampere University of Technology, Finland, 2002, 235-242

Skup
International TICSP Workshop on Spectral Methods and Multirate Signal Processing SMMSP'02

Mjesto i datum
Toulouse, France, 07- 08.09.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
2D wavelet filter bank; non-separable wavelets; adaptive zero moments

Sažetak
We present several adaptation methods of 2-D nonseparable wavelet filter bank. Proposed filter bank is obtained using lifting scheme in which nonseparable quincunx decimation and true 2-D filters have been applied. Each filter bank is split into a fixed and a variable part. Due to the fixed part, basic convergence and regularity properties of the limit wavelet functions and scales are preserved. Parameters of the variable part of the filter bank are changed at each pixel in order to adapt to the analyzed image. Adaptation criterion is calculated from the wavelet coefficients. We applied one-dimensional and true two-dimensional adaptation algorithms. 1-D recursive least squares (RLS) and windowed least squares (LSW) are compared to 2-D windowed least squares and to 2-D best linear unbiased estimate (BLUE) algorithm. Adaptation methods were tested on synthetic and real-world images. It was shown that true 2-D algorithms outperform 1-D algorithms and adaptive filter banks outperform fixed (nonadaptive) wavelet filter banks.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb