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» Image Compression Through a Projection onto a Polyhedral Set
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JMIV
2007
136views more  JMIV 2007»
13 years 4 months ago
Image Compression Through a Projection onto a Polyhedral Set
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
François Malgouyres
ICPR
2008
IEEE
14 years 6 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, ...
ICIP
2009
IEEE
14 years 6 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
ICIP
2005
IEEE
14 years 6 months ago
Semifragile hierarchical watermarking in a set theoretic framework
We introduce a set theoretic framework for watermarking and illustrate its effectiveness by designing a hierarchical semi-fragile watermark that is tolerant to compression and all...
Oktay Altun, Gaurav Sharma, Mehmet Utku Celik, Mar...
ICIP
2009
IEEE
14 years 6 months ago
Color De-quantizing Through Iterated Dynamic Hard Thresholding On An Overcomplete Representation
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...