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» Statistics of natural image distortions
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ISIPTA
2003
IEEE
100views Mathematics» more  ISIPTA 2003»
14 years 3 months ago
Bi-elastic Neighbourhood Models
We extend Buja’s concept of “pseudo-capacities”, which comprises the neighbourhood models for classical probabilities commonly used in robust statistics. Although systematic...
Anton Wallner
ICIP
2008
IEEE
14 years 11 months ago
Algorithmic inferencing of aesthetics and emotion in natural images: An exposition
Initial studies have shown that automatic inference of high-level image quality or aesthetics is very challenging. The ability to do so, however, can prove beneficial in many appl...
Ritendra Datta, Jia Li, James Ze Wang
CVPR
2003
IEEE
15 years 2 days ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert
NECO
2007
112views more  NECO 2007»
13 years 9 months ago
Distortion of Neural Signals by Spike Coding
Analog neural signals must be converted into spike trains for transmission over electrically leaky axons. This spike encoding and subsequent decoding leads to distortion. We quant...
David H. Goldberg, Andreas G. Andreou
CVPR
2007
IEEE
15 years 2 days ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman