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» On sparse signal representations
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ICASSP
2009
IEEE
16 years 1 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
ECCV
2010
Springer
15 years 5 months ago
Hybrid Compressive Sampling via a New Total Variation TVL1
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Xianbiao Shu, Narendra Ahuja
ICASSP
2011
IEEE
14 years 10 months ago
Multi image super resolution using compressed sensing
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
Torsten Edeler, Kevin Ohliger, Stephan Hussmann, A...
PG
2002
IEEE
15 years 11 months ago
The Light Field Oracle
We present the light field oracle, a novel mathematical concept for the acquisition, processing and representation of light fields. We first compute a hierarchical representati...
Reto Lütolf, Bernt Schiele, Markus H. Gross
SIGGRAPH
1996
ACM
15 years 10 months ago
Multiresolution Video
We present a new representation for time-varying image data that allows for varying--and arbitrarily high--spatial and temporal resolutions in different parts of a video sequence....
Adam Finkelstein, Charles E. Jacobs, David Salesin