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ICIP
2001
IEEE
14 years 7 months ago
Statistical image restoration based on adaptive wavelet models
In this paper, we propose image restoration algorithms based on adaptive wavelet?domain statistical models. We present a method to estimate the model parameters from the observati...
Juan Liu, Pierre Moulin
CVPR
2011
IEEE
13 years 2 months ago
Learning Non-Local Range Markov Random Field for Image Restoration
In this paper, we design a novel MRF framework which is called Non-Local Range Markov Random Field (NLRMRF). The local spatial range of clique in traditional MRF is extended to th...
Sun Jian, Marshall Tappen

Book
5396views
15 years 4 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICPR
2004
IEEE
14 years 7 months ago
Photometric Stereo Under Blurred Observations
In this paper we address the problem of simultaneous estimation of structure and restoration of images from blurred photometric measurements. Given the blurred observations of a s...
Manjunath V. Joshi, Subhasis Chaudhuri
ICIP
2005
IEEE
14 years 7 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte