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ISBI
2008
IEEE
14 years 8 months ago
Application of a spatially variant system model for 3-D whole-body pet image reconstruction
Accurate system modeling in tomographic image reconstruction has been shown to reduce the spatial variance of resolution and improve quantitative accuracy. System modeling can be ...
Adam M. Alessio, Paul E. Kinahan
CVPR
2008
IEEE
14 years 9 months ago
Closing the loop in scene interpretation
Image understanding involves analyzing many different aspects of the scene. In this paper, we are concerned with how these tasks can be combined in a way that improves the perform...
Derek Hoiem, Alexei A. Efros, Martial Hebert
ICIP
2009
IEEE
14 years 2 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi
EVOW
2010
Springer
13 years 5 months ago
New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction
Abstract. This paper presents an evolutionary approach for image reconstruction in positron emission tomography (PET). Our reconstruction method is based on a cooperative coevoluti...
Franck Patrick Vidal, Jean Louchet, Jean-Marie Roc...
SIGPRO
2002
160views more  SIGPRO 2002»
13 years 7 months ago
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...
Emmanuel J. Candès, Franck Guo