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DSSCV
2005
Springer
14 years 1 months ago
A Riemannian Framework for the Processing of Tensor-Valued Images
In this paper, we present a novel framework to carry out computations on tensors, i.e. symmetric positive definite matrices. We endow the space of tensors with an affine-invariant...
Pierre Fillard, Vincent Arsigny, Nicholas Ayache, ...
ICIP
2005
IEEE
14 years 9 months ago
Learning spatially-variable filters for super-resolution of text
Images magnified by standard methods display a degradation of detail that is particularly noticeable in the blurry edges of text. Current super-resolution algorithms address the l...
Adrian Corduneanu, John C. Platt
ICCV
2011
IEEE
12 years 7 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
IH
1999
Springer
13 years 11 months ago
A Stochastic Approach to Content Adaptive Digital Image Watermarking
This paper presents a new stochastic approach which can be applied with di erent watermark techniques. The approach is based on the computation of a Noise Visibility Function NVF...
Sviatoslav Voloshynovskiy, Alexander Herrigel, Naz...
SIGGRAPH
1998
ACM
13 years 11 months ago
A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display
In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, lumi...
Sumanta N. Pattanaik, James A. Ferwerda, Mark D. F...