搜索结果: 1-14 共查到“Blind deconvolution”相关记录14条 . 查询时间(0.097 秒)
BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT
Underwater Image Processing Measurement Techniques Image Restoration Blind Deconvolution
2015/4/23
Marine gas seeps, such as in the Panarea area near Sicily (McGinnis et al., 2011), emit large amounts of methane and carbon-dioxide, greenhouse gases. Better understanding their impact on the climate ...
Revisiting Bayesian Blind Deconvolution
Blind deconvolution blind image deblurring variational Bayes sparse priors sparse estimation
2013/6/14
Blind deconvolution involves the estimation of a sharp signal or image given only a blurry observation. Because this problem is fundamentally ill-posed, strong priors on both the sharp image and blur ...
Blockwise SVD with error in the operator and application to blind deconvolution
Blind deconvolution blockwise SVD circular and spherical deconvolution nonparametric adaptive estimation
2012/4/16
We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements. We establish minimax rates of convergence ...
Application of speckle and (multi-object) multi-frame blind deconvolution techniques on imaging and imaging spectropolarimetric data
Sun: photosphere – Sun: spectropolarimeters
2011/9/27
We test the effects of reconstruction techniques on 2D data to determine the best approach. We obtained a time-series of spectropolarimetric data in the Fe I line at 630.25 nm with the Goettingen Fabr...
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 ...