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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...
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...
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...
Phase Unwrapping for 2-D Blind Deconvolution of Ultrasound Images
Phase unwrapping Poisson equation multiresolution
2010/1/6
In most approaches to the problem of two-dimensional
homomorphic deconvolution of ultrasound images, the estimation
of a corresponding point-spread function (PSF) is necessarily
the first stage in ...
Blind Deconvolution of Ultrasound Sequences Using Nonparametric Local Polynomial Estimates of the Pulse
Blind deconvolution pulse estimation ultrasound
2010/1/6
The problem of reconstructing the reflectivity of a
biological tissue is examined by means of blind deconvolution of
the echo ultrasound signals. It is shown that the quality of the
reconstruction ...