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» Image representation by compressed sensing
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ICIP
2001
IEEE
16 years 7 months ago
DCT quantization noise in compressed images
In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of s...
Mark A. Robertson, Robert L. Stevenson
CORR
2010
Springer
249views Education» more  CORR 2010»
15 years 6 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
TCSV
2008
156views more  TCSV 2008»
15 years 5 months ago
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
Zhicheng Ni, Yun Q. Shi, Nirwan Ansari, Wei Su, Qi...
MMM
2005
Springer
163views Multimedia» more  MMM 2005»
15 years 11 months ago
Parallel Image Matrix Compression for Face Recognition
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
Dong Xu, Shuicheng Yan, Lei Zhang, Mingjing Li, We...
CORR
2007
Springer
136views Education» more  CORR 2007»
15 years 6 months ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut