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ICIP
2005
IEEE
14 years 9 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
CAD
2004
Springer
13 years 7 months ago
Choosing consistent constraints for beautification of reverse engineered geometric models
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software. Such models can be im...
Frank C. Langbein, A. David Marshall, Ralph R. Mar...
UAI
2008
13 years 9 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
ICIP
2001
IEEE
14 years 9 months ago
Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems
Various image restoration methods have been studied for removing space-variant motion blur such as iterative and POCS method. However, their computational complexity of the method...
SangKyu Kang, Jihong Min, Joon Ki Paik
BILDMED
2008
100views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Detection of Point Scatterers by Regularized Inversion of a Linear Ultrasound System Model
Abstract. Scatterer detection in medical ultrasound imaging can be formulated as an inverse problem concerning a linear system model based on point scatterers. The applicability of...
Tobias Gehrke, Heinrich M. Overhoff