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» A Bayesian Approach to Image Restoration
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CVPR
2008
IEEE
15 years 11 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
NIPS
2000
14 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
ICIP
2002
IEEE
15 years 11 months ago
Fusion of X ray radiographic data and anatomical data in computed tomography
In this paper, we consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrica...
Ali Mohammad-Djafari
ICANN
2005
Springer
15 years 3 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
ICIP
2005
IEEE
15 years 11 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors