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Optimal Sparse Representation for Blind Deconvolution of Images
Optimal Sparse Representation Blind Deconvolution Images
2010/1/7
The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of ima...
Co-evolutionary Learning in Liquid Architectures,in Computational Intelligence and Bioinspired Systems
Co-evolutionary Learning Liquid Architectures Computational Intelligence
2010/1/7
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require capturing complex structu...
Co-evolutionary Learning in Liquid Architectures,in Computational Intelligence and Bioinspired Systems
Co-evolutionary Learning Liquid Architectures Computational Intelligence
2010/1/7
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require capturing complex structu...
Sparse ICA for Blind Separation of Transmitted and Reflected Images
transparent layers reflection polarization sparseness ICA blind source separation (BSS) wavelet packets clustering
2010/1/7
We address the problem of recovering a scene recorded through a semireflecting medium (i.e. planar lens), with a virtual reflected image being superimposed on the image of the scene transmitted throug...
Sparse ICA for Blind Separation of Transmitted and Reflected Images
transparent layers reflection polarization sparseness ICA blind source separation (BSS) wavelet packets clustering
2010/1/7
We address the problem of recovering a scene recorded through a semireflecting medium (i.e. planar lens), with a virtual reflected image being superimposed on the image of the scene transmitted throug...
Variational Blind Deconvolution of Multi-Channel Images
image restoration color images kernel estimation variational methods Non-linear PDEs
2010/1/7
The fundamental problem of denoising and deblurring images is addressed in this study. The great difficulty in this task is due to the ill-posedness of the problem. We analyze multi-channel images to ...
Variational Blind Deconvolution of Multi-Channel Images
image restoration color images kernel estimation variational methods Non-linear PDEs
2010/1/7
The fundamental problem of denoising and deblurring images is addressed in this study. The great difficulty in this task is due to the ill-posedness of the problem. We analyze multi-channel images to ...
Blind Deconvolution of Images Using Optimal Sparse Representations
Blind deconvolution quasi-maximum likelihood relative Newton optimization sparse representations
2010/1/7
The relative Newton algorithm, previously proposed for quasi-maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind
deconvolution of im...
Blind Deconvolution of Images Using Optimal Sparse Representations
Blind deconvolution quasi-maximum likelihood relative Newton optimization sparse representations
2010/1/7
The relative Newton algorithm, previously proposed for quasi-maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind
deconvolution of im...
Blind deconvolution is considered as a problem of quasi maximum likelihood (QML) estimation of the restoration kernel. Simple closed-form expressions for the asymptotic estimation error are derived. T...
Blind deconvolution is considered as a problem of quasi maximum likelihood (QML) estimation of the restoration kernel. Simple closed-form expressions for the asymptotic estimation error are derived. T...
Image Enhancement and Denoising by Complex Diffusion Processes
Scale-space image filtering image denoising image enhancement nonlinear diffusion complex diffusion edge
2010/1/7
The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion equation, are generalized to complex diffusion processes, by incorporating the free Schro¨dinger equation. A fu...
Image Enhancement and Denoising by Complex Diffusion Processes
Scale-space image filtering image denoising image enhancement nonlinear diffusion complex diffusion edge
2010/1/7
The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion equation, are generalized to complex diffusion processes, by incorporating the free Schro¨dinger equation. A fu...
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...
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...