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» Image Retargeting Using Importance Diffusion
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CVPR
2009
IEEE
15 years 2 months ago
Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points
Oriented patterns, e.g. fingerprints, consist of smoothly varying flow-like patterns, together with important singular points (i.e. cores and deltas) where the orientation change...
Qijun Zhao (The Hong Kong Polytechnic University),...
ISBI
2011
IEEE
12 years 11 months ago
K-SVD for HARDI denoising
Noise is an important concern in high-angular resolution diffusion imaging studies because it can lead to errors in downstream analyses of white matter structure. To address this ...
Vishal Patel, Yonggang Shi, Paul M. Thompson, Arth...
3DPVT
2004
IEEE
116views Visualization» more  3DPVT 2004»
13 years 11 months ago
Real-Time, Accurate Depth of Field using Anisotropic Diffusion and Programmable Graphics Cards
Computer graphics cameras lack the finite Depth of Field (DOF) present in real world ones. This results in all objects being rendered sharp regardless of their depth, reducing the...
Marcelo Bertalmío, Pere Fort, Daniel S&aacu...
MICCAI
2007
Springer
14 years 8 months ago
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement
In algorithms for processing diffusion tensor images, two common ingredients are interpolating tensors, and measuring the distance between them. We propose a new class of interpola...
Gordon L. Kindlmann, Raúl San José E...
CVPR
2009
IEEE
15 years 2 months ago
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
High angular resolution diffusion imaging has become an important magnetic resonance technique for in vivo imaging. Most current research in this field focuses on developing met...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...