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» Orthonormal Finite Ridgelet Transform for Image Compression
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ICIP
2000
IEEE
14 years 6 months ago
Orthonormal Finite Ridgelet Transform for Image Compression
A finite implementation of the ridgelet transform is presented. The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore we show that this transfor...
Minh N. Do, Martin Vetterli
ICIP
2008
IEEE
14 years 6 months ago
Sparse orthonormal transforms for image compression
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
ICIP
2009
IEEE
14 years 5 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
SIGPRO
2002
160views more  SIGPRO 2002»
13 years 4 months ago
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...
Emmanuel J. Candès, Franck Guo
CLEIEJ
2008
97views more  CLEIEJ 2008»
13 years 4 months ago
A finite bidimensional wavelet framework for computer graphics: Image equalization
A lot of material has been written about wavelet theory. Most of these texts provide an elegant framework from the functional and real analysis point of view. The complete infinit...
Francisco Jose Benavides Murillo, Edgar Benavides ...