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» Bayesian Restoration of Noisy Images with the EM Algorithm
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CVPR
2007
IEEE
14 years 3 months ago
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images Using Non-local Pixel Distribution
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorit...
Yong Seok Heo (Seoul National University), Kyoung ...
ICPR
2004
IEEE
14 years 6 months ago
Non Stationary Bayesian Image Restoration
In this paper we propose a new iterative Bayesian non stationary image restoration algorithm. The main novelty
Aristidis Likas, Giannis K. Chantas, Nikolas P. Ga...
ICIP
2010
IEEE
13 years 2 months ago
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM
We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to a...
Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bern...
ICIP
2001
IEEE
14 years 6 months ago
Morphological degradation models and their use in document image restoration
Document images undergo various degradation processes. Numerous models of these degradation processes have been proposed in the literature. In this paper we propose a modelbased r...
Qigong Zheng, Tapas Kanungo
ICPR
2000
IEEE
14 years 6 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...