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ESANN
2006
15 years 8 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
ICIP
2005
IEEE
16 years 8 months ago
Enhancement of cell boundaries in transmission electron microscopy images
Transmission electron microscopy (TEM) is an important modality for the analysis of cellular structures in neurobiology. The computational analysis of neurons entail their segment...
Tolga Tasdizen, Ross T. Whitaker, Robert Marc, Bry...
ICIP
2003
IEEE
16 years 8 months ago
Bayesian parameter estimation in image reconstruction from subsampled blurred observations
In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and ...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
ICIP
2003
IEEE
16 years 8 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
ICIP
2001
IEEE
16 years 8 months ago
Optimal recovery approach to image interpolation
We consider the problem of image interpolation from an adaptive optimal recovery point of view. Many different standard interpolation approaches may be viewed through the prism of...
D. Darian Muresan, Thomas W. Parks