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» Discrete Denoising with Shifts
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SIAMSC
2010
141views more  SIAMSC 2010»
13 years 5 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CVPR
2007
IEEE
14 years 9 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
TSP
2008
114views more  TSP 2008»
13 years 7 months ago
Clipping-Noise Guided Sign-Selection for PAR Reduction in OFDM Systems
The peak-to-average power ratio (PAR) of orthogonal frequency division multiplexing (OFDM) systems can be reduced by using an optimal set of subcarrier signs. However, this sign se...
Luqing Wang, Chintha Tellambura
TMI
2010
112views more  TMI 2010»
13 years 5 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
ICPR
2010
IEEE
13 years 5 months ago
Improving SIFT-based Descriptors Stability to Rotations
Image descriptors are widely adopted structures to match image features. SIFT-based descriptors are collections of gradient orientation histograms computed on different feature re...
Fabio Bellavia, Domenico Tegolo, Emanuele Trucco