Naslov
Image Denoising Based on Adaptive Quincunx Wavelets

Autori
Vrankić, Miroslav ; Seršić, Damir

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

Izvornik
Proceedings of the 2004 IEEE 6th Workshop on Multimedia Signal Processing / Barni, Mauro ; Chen, Tsuhan ; Piva, Alessandro - Siena : Omnipress, 2004, 251-254

Skup
2004 IEEE 6th Workshop on Multimedia Signal Processing

Mjesto i datum
Siena, Italija, 29.09.2004. - 01.10.2004

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image denoising; adaptive wavelets; lifting scheme; quincunx

Sažetak
In this paper, we explore the use of nonseparable and adaptive wavelet decompositions for the purpose of image denoising. We apply the classical wavelet shrinkage methods on the wavelet coefficients obtained by using the adaptive wavelet transform defined on the quincunx grid. The wavelet transform is pixel-wise adaptive in all decomposition levels. While providing more compact representation of the analyzed image, the adaptive transform retains some useful properties of fixed transforms, such as numbers of vanishing moments of primal and dual wavelets. The adaptive wavelet decomposition is realized using the lifting scheme. For comparison purposes, the image denoising results are presented for both fixed and adaptive wavelet transforms.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti

POVEZANOST RADA