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IJCV
2000
110views more  IJCV 2000»
14 years 9 months ago
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
Javier Portilla, Eero P. Simoncelli
NIPS
1998
14 years 11 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
CVPR
1997
IEEE
15 years 1 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
CVPR
2007
IEEE
15 years 11 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
APGV
2010
ACM
288views Visualization» more  APGV 2010»
15 years 1 months ago
Statistical regularities in low and high dynamic range images
Computer graphics as well as related disciplines often benefit from understanding the human visual system and its input. In this paper, we study statistical regularities of both ...
Tania Pouli, Douglas Cunningham, Erik Reinhard