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» Compressed Sensing and Redundant Dictionaries
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TIP
2010
255views more  TIP 2010»
13 years 16 days ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
SEMWEB
2010
Springer
13 years 3 months ago
Compact Representation of Large RDF Data Sets for Publishing and Exchange
Abstract. Increasingly huge RDF data sets are being published on the Web. Currently, they use different syntaxes of RDF, contain high levels of redundancy and have a plain indivisi...
Javier D. Fernández, Miguel A. Martí...
ICIP
2009
IEEE
14 years 6 months ago
Reconstructing Ft-ir Spectroscopic Imaging Data With A Sparse Prior
Fourier Transform Infrared (FT-IR) spectroscopic imaging is a potentially valuable tool for diagnosing breast and prostate cancer, but its clinical deployment is limited due to lo...
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 5 months ago
Where is Randomness Needed to Break the Square-Root Bottleneck?
As shown by Tropp, 2008, for the concatenation of two orthonormal bases (ONBs), breaking the square-root bottleneck in compressed sensing does not require randomization over all th...
Patrick Kuppinger, Giuseppe Durisi, Helmut Bö...
TMM
2002
94views more  TMM 2002»
13 years 5 months ago
A jointly optimal fractal/DCT compression scheme
In this paper a hybrid fractal and Discrete Cosine transform (DCT) coder is developed. Drawing on the ability of DCT to remove inter-pixel redundancies and on the ability of fracta...
Gerry Melnikov, Aggelos K. Katsaggelos