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» Sparse orthonormal transforms for image compression
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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,...
JVCIR
2010
162views more  JVCIR 2010»
13 years 2 months ago
Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation
In order to get an efficient image representation we introduce a new adaptive Haar wavelet transform, called Tetrolet Transform. Tetrolets are Haar-type wavelets whose supports ar...
Jens Krommweh
ICIP
2000
IEEE
14 years 5 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
ICPR
2008
IEEE
14 years 5 months ago
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation
We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Ajit Rajwade, Anand Rangarajan, Arunava Banerjee, ...