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» An Adaptive Variational Model for Image Decomposition
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ICASSP
2007
IEEE
15 years 6 months ago
Using Structural Similarity Quality Metrics to Evaluate Image Compression Techniques
Perceptual image quality metrics have explicitly accounted for perceptual characteristics of the human visual system (HVS) by modeling sensitivity to subband noise as the just-not...
Alan C. Brooks, Thrasyvoulos N. Pappas
DAGM
2007
Springer
15 years 5 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
CVGIP
2004
175views more  CVGIP 2004»
14 years 11 months ago
A subdivision-based deformable model for surface reconstruction of unknown topology
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
Ye Duan, Hong Qin
MICCAI
2007
Springer
16 years 16 days ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
DAGM
2010
Springer
14 years 11 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...