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» Image Statistics and Anisotropic Diffusion
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IJCV
2006
107views more  IJCV 2006»
14 years 9 months ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen
ISBI
2004
IEEE
15 years 10 months ago
DT-MRI Data Visualisation using the Dual Tree Complex Wavelet Transform
In this paper a novel visualisation method for diffusion tensor MRI datasets is introduced. This is based on the use of Complex Wavelets in order to produce "stripy" tex...
Nick G. Kingsbury, Argyris Zymnis, Alonso Pena
MICCAI
2004
Springer
15 years 10 months ago
Anisotropic Interpolation of DT-MRI
Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, we present...
Carlos A. Castaño-Moraga, Miguel A. Rodr&ia...
CVPR
2010
IEEE
15 years 5 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
ICIP
1997
IEEE
15 years 11 months ago
Using mean field annealing to solve anisotropic diffusion problems
Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization ...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro