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» Image representation by compressed sensing
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ICIP
2004
IEEE
16 years 1 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
VRST
1998
ACM
15 years 3 months ago
Image-based object representation by layered impostors
object should be visible which were not visible in any of the images used to represent the object. So far these problems have been addressed by compression schemes [9] and restrict...
Gernot Schaufler
ICIP
2008
IEEE
16 years 1 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
ISBI
2009
IEEE
15 years 6 months ago
Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing
Functional MRI (fMRI) has been widely accepted as a standard tool to study the function of brain. However, because of the limited temporal resolution of MR scanning, researchers h...
Hong Jung, Jong Chul Ye
CORR
2010
Springer
128views Education» more  CORR 2010»
14 years 11 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar