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» Sparse orthonormal transforms for image compression
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SCALESPACE
2007
Springer
13 years 11 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
SIGPRO
2010
141views more  SIGPRO 2010»
13 years 3 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
DCC
2004
IEEE
14 years 4 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
PG
2002
IEEE
13 years 10 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
WIAMIS
2009
IEEE
14 years 2 hour ago
The fast-3D spatio-temporal interest region detector
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we comp...
Sander Koelstra, Ioannis Patras