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» Adaptive Image Reconstruction Using Information Measures
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124
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ICIP
2005
IEEE
15 years 9 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
156
Voted
ICIP
2002
IEEE
16 years 5 months ago
A new and simple shape descriptor based on a non-parametric multiscale model
In this paper, we present a new and robust shape descriptor, which can be efficiently used to quickly prune a search for similar shapes in a large image database. The proposed sha...
Max Mignotte
MICCAI
2009
Springer
16 years 4 months ago
Biomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
Hari Sundar, Christos Davatzikos, George Biros
CVPR
2008
IEEE
16 years 5 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
146
Voted
HPDC
2000
IEEE
15 years 7 months ago
Automatic Configuration and Run-time Adaptation of Distributed Applications
Increased platform heterogeneity and varying resource availability in distributed systems motivates the design of resource-aware applications, which ensure a desired performance l...
Fangzhe Chang, Vijay Karamcheti