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» What makes a good model of natural images
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ICCV
2011
IEEE
12 years 5 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
TIT
2008
90views more  TIT 2008»
13 years 5 months ago
Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Asaf Cohen, Tsachy Weissman, Neri Merhav
ICIP
2009
IEEE
13 years 3 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
ICIP
2005
IEEE
13 years 10 months ago
Multi-dimensional infinitely divisible cascades to model the statistics of natural images
Infinitely divisible cascades (IDC) were first introduced in one dimension to provide multifractal time series to model the so-called intermittency phenomenon in hydrodynamical ...
Pierre Chainais
PAMI
2007
148views more  PAMI 2007»
13 years 4 months ago
Infinitely Divisible Cascades to Model the Statistics of Natural Images
—We propose to model the statistics of natural images, thanks to the large class of stochastic processes called Infinitely Divisible Cascades (IDCs). IDCs were first introduced i...
Pierre Chainais