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ICIP
1998
IEEE
13 years 9 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
MIR
2010
ACM
229views Multimedia» more  MIR 2010»
13 years 11 months ago
Wavelet, active basis, and shape script: a tour in the sparse land
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
Zhangzhang Si, Ying Nian Wu
ICIP
2008
IEEE
13 years 11 months ago
Best post-transforms selection in a rate-distortion sense
This paper deals with the optimization of a new technique of image compression. After the wavelet transform of an image, blocks of coefficients are further linearly decomposed us...
Xavier Delaunay, Emmanuel Christophe, Carole Thieb...
ICCV
2007
IEEE
13 years 11 months ago
Deformable Template As Active Basis
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches of various object categories. In our generative mod...
Ying Nian Wu, Zhangzhang Si, Chuck Fleming, Song C...
VCIP
2001
110views Communications» more  VCIP 2001»
13 years 6 months ago
Lossless and near-lossless image compression with successive refinement
We present a technique that provides progressive transmission and near-lossless compression in one single framework. The proposed technique produces a bitstream that results in pr...
Ismail Avcibas, Nasir D. Memon, Bülent Sankur...