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» Image representation by compressed sensing
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ICIP
2007
IEEE
15 years 11 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
ISBI
2009
IEEE
15 years 4 months ago
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
Rick Chartrand
64
Voted
ICIP
2006
IEEE
15 years 11 months ago
Bit Rate Reduction of Vector Representation of Binary Images
Vector representation of binary images has an advantage of keeping high image quality for arbitrary scaling as well as editing capability of an object. However, the vector represe...
Yuki Yamamoto, Kei Kawamura, Hiroshi Watanabe
ICIP
2008
IEEE
15 years 4 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...
SSIAI
2002
IEEE
15 years 2 months ago
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard
We present results quantifying the exploitability of compressed remote sensing imagery. The performance of various feature extraction and classification tasks is measured on hype...
Mihaela D. Pal, Christopher M. Brislawn, Steven P....