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ICIP
2008
IEEE
16 years 1 months ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
CVPR
2012
IEEE
13 years 2 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
ICIP
2009
IEEE
16 years 23 days ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
CISS
2010
IEEE
14 years 3 months ago
Frame permutation quantization
—Frame permutation quantization (FPQ) is a new vector quantization technique using finite frames. In FPQ, a vector is encoded using a permutation source code to quantize its fra...
Ha Quy Nguyen, Vivek K. Goyal, Lav R. Varshney
ELPUB
2006
ACM
15 years 5 months ago
A New Concept in High Resolution Internet Image Browsing
Various new imaging techniques have been used at the C2RMF, in order to digitize paintings and objects. These techniques are used for extensive and detailed non-destructive analys...
Denis Pitzalis, Ruven Pillay, Christian Lahanier