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ICIP
2001
IEEE
14 years 9 months ago
Image denoising using adaptive subband decomposition
In this paper, we present a new image denoising method based on adaptive subband decomposition (or adaptive wavelet transform) in which the filter coefficients are updated accordi...
Ömer Nezih Gerek, A. Enis Çetin, Ismai...
JMIV
2002
126views more  JMIV 2002»
13 years 7 months ago
Tree-Structured Haar Transforms
In our recent work, a class of parametric transforms, including family of Haar-like transforms, was introduced and studied in application to image compression. Parametric Haar-lik...
Karen O. Egiazarian, Jaakko Astola
ISM
2008
IEEE
161views Multimedia» more  ISM 2008»
14 years 1 months ago
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding
Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression...
Alexander Wong, William Bishop
ACIVS
2005
Springer
14 years 1 months ago
FPGA Design and Implementation of a Wavelet-Domain Video Denoising System
Multiresolution video denoising is becoming an increasingly popular research topic over recent years. Although several wavelet based algorithms reportedly outperform classical sing...
Mihajlo Katona, Aleksandra Pizurica, Nikola Teslic...
BMCBI
2010
145views more  BMCBI 2010»
13 years 7 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...