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Image Sharpening by Flows Based on Triple Well Potentials
image filtering image enhancement image sharpening,nonlinear diffusion hyperdiffusion variational image processing
2010/1/7
Image sharpening in the presence of noise is formulated as a non-convex variational problem. The energy functional incorporates a gradient-dependent potential, a convex fidelity criterion and a high o...
Optimal nonlinear line-of-flight estimation in PET
Artificial neural network emission tomography gamma camera scintillation detector
2010/1/7
The authors consider detection of high-energy photons in positron emission tomography using thick scintillation crystals.Parallax effect and multiple Compton interactions in such
crystals significant...
Optimal nonlinear line-of-flight estimation in PET
Artificial neural network emission tomography gamma camera scintillation detector
2010/1/7
The authors consider detection of high-energy photons in positron emission tomography using thick scintillation crystals.Parallax effect and multiple Compton interactions in such
crystals significant...
Regularized Shock Filters and Complex Diffusion
Shock filters deblurring denoising image enhancement complex diffusion image features
2010/1/7
We address the issue of regularizing Osher and Rudin’s shock filter, used for image deblurring, in order to allow processes that are more robust against noise. Previous solutions to the problem sugges...
Regularized Shock Filters and Complex Diffusion
Shock filters deblurring denoising image enhancement complex diffusion image features
2010/1/7
We address the issue of regularizing Osher and Rudin’s shock filter, used for image deblurring, in order to allow processes that are more robust against noise. Previous solutions to the problem sugges...
Forward-and-Backward Diffusion Process for Adaptive Image Enhancement and Denoising
Adaptive denoising anisotropic diffusion Beltrami flow color processing image enhancement inverse diffusion scale–space
2010/1/7
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances,sharpens,and denoises images.The nonlinear diffusion coefficient
is locally a...
Forward-and-Backward Diffusion Process for Adaptive Image Enhancement and Denoising
Adaptive denoising anisotropic diffusion Beltrami flow color processing image enhancement inverse diffusion scale–space
2010/1/7
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances,sharpens,and denoises images.The nonlinear diffusion coefficient
is locally a...
Extraction of a Source from Multichannel Data Using Sparse Decomposition
ICA Blind source separation Sparse representation Wavelets EEG MEG
2010/1/7
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decomposition of a source in ...
Extraction of a Source from Multichannel Data Using Sparse Decomposition
ICA Blind source separation Sparse representation Wavelets EEG MEG
2010/1/7
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decomposition of a source in ...
Gabor Feature Space Diffusion via the Minimal Weighted Area Method
Gabor analysis Geometric-based algorithms Geodesic active contours Beltrami framework Anisotropic diffusion image manifolds minimal weighted area method
2010/1/7
Gabor feature space is elaborated for representation,processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for...
Gabor Feature Space Diffusion via the Minimal Weighted Area Method
Gabor analysis Geometric-based algorithms Geodesic active contours Beltrami framework Anisotropic diffusion image manifolds minimal weighted area method
2010/1/7
Gabor feature space is elaborated for representation,processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for...
Geodesic Active Contours Applied to Texture Feature Space
Geodesic Active Contours Texture Feature Space segmentation
2010/1/7
Gabor Analysis is frequently used for texture analysis and segmentation. Once the Gaborian feature space is generated it may be interpreted in various ways for image analysis and segmentation. Image s...
Geodesic Active Contours Applied to Texture Feature Space
Geodesic Active Contours Texture Feature Space segmentation
2010/1/7
Gabor Analysis is frequently used for texture analysis and segmentation. Once the Gaborian feature space is generated it may be interpreted in various ways for image analysis and segmentation. Image s...
Complex Difusion Processes for Image Filtering
Complex Difusion Processes Image Filtering Scale-space complex diffusion
2010/1/7
framework that naturally unifies smoothing and enhancement processes is presented. We generalize the linear and nonlinear scale spaces in the complex domain, by combining the diffusion equation with ...
Complex Difusion Processes for Image Filtering
Complex Difusion Processes Image Filtering Scale-space complex diffusion
2010/1/7
framework that naturally unifies smoothing and enhancement processes is presented. We generalize the linear and nonlinear scale spaces in the complex domain, by combining the diffusion equation with ...