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» Obtaining Quality Microarray Data via Image Reconstruction
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ICPR
2000
IEEE
14 years 8 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
TMI
2010
143views more  TMI 2010»
13 years 2 months ago
Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
Fluorescence molecular tomography (FMT) allows in vivo localization and quantification of fluorescence biodistributions in whole animals. The ill-posed nature of the tomographic re...
Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasili...
ACCV
2006
Springer
14 years 1 months ago
Fast Image Replacement Using Multi-resolution Approach
We developed a system including two modules: the texture analysis module and the texture synthesis module. The analysis module is capable of analyzing an input image and performing...
Chih-Wei Fang, James Jenn-Jier Lien
CVPR
2004
IEEE
14 years 9 months ago
Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designe...
Miodrag Dimitrijevic, Slobodan Ilic, Pascal Fua
ISBI
2009
IEEE
14 years 2 months ago
A Compressed Sensing Approach for Biological Microscopic Image Processing
In fluorescence microscopy the noise level and the photobleaching are cross-dependent problems since reducing exposure time to reduce photobleaching degrades image quality while ...
Marcio de Moraes Marim, Elsa D. Angelini, Jean-Chr...