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DCC
2010
IEEE
13 years 12 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
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
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...
INTERSPEECH
2010
12 years 11 months ago
Towards a robust face recognition system using compressive sensing
An application of compressive sensing (CS) theory in imagebased robust face recognition is considered. Most contemporary face recognition systems suffer from limited abilities to ...
Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
ICIP
1998
IEEE
13 years 9 months ago
Reduction of Blocking Artifacts in Block Transformed Compressed Color Images
In this paper we use the information in the chrominance bands to reconstruct color block transformed compressed images. For the luminance and the two chrominance channels, we de n...
Javier Mateos, Carlos Ilia Herráiz Montalvo...