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Nuclear Medicine Communications, 2003
A new deconvolution technique is described. It regards the Rutland-Patlak plot as the integral of the retention function, and performs deconvolution by creating and then differentiating the Rutland-Patlak plot. The reasoning behind this approach is that in producing the Rutland-Patlak plot, both the content function and the integral of the input ...
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A new deconvolution technique is described. It regards the Rutland-Patlak plot as the integral of the retention function, and performs deconvolution by creating and then differentiating the Rutland-Patlak plot. The reasoning behind this approach is that in producing the Rutland-Patlak plot, both the content function and the integral of the input ...
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IEEE Transactions on Image Processing, 2009
In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets.
Vishal M. Patel +2 more
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In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets.
Vishal M. Patel +2 more
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Deconvolution and Blind Deconvolution in Astronomy
2017Fionn Murtagh Dept. Computer Science, Royal Holloway, University of London, Egham, UK e-mail: fmurtagh@acm.orgThis chapter reviews different astronomical deconvolution methods. The all-pervasive presence of noise is what makes deconvolution particularly difficult.
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Nuclear medicine communications, 2004
info:eu-repo/semantics ...
Kuyvenhoven, Jacob +2 more
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info:eu-repo/semantics ...
Kuyvenhoven, Jacob +2 more
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Blind Deconvolution with Sparse Priors on the Deconvolution Filters
2006In performing blind deconvolution to remove reverberation from speech signal, most acoustic deconvolution filters need a great many number of taps, and acoustic environments are often time-varying. Therefore, deconvolution filter coefficients should find their desired values with limited data, but conventional methods need lots of data to converge the ...
Hyung-Min Park +3 more
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Local Multichannel Deconvolution
Journal of Mathematical Imaging and Vision, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Glenn R. Easley, D. F. Walnut
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2001
Problem Statement, Difficulty of Deconvolution, Regularization, Numerical ...
SPARACINO, GIOVANNI +2 more
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Problem Statement, Difficulty of Deconvolution, Regularization, Numerical ...
SPARACINO, GIOVANNI +2 more
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2005
Since its introduction in 1983, deconvolution microscopy has become a key image-processing tool for visualizing the cellular structures of fixed and living specimens in three dimensions and at subresolution scale. The last 20 years have seen the development of many different applications based on deconvolution microscopy, including a wide variety of ...
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Since its introduction in 1983, deconvolution microscopy has become a key image-processing tool for visualizing the cellular structures of fixed and living specimens in three dimensions and at subresolution scale. The last 20 years have seen the development of many different applications based on deconvolution microscopy, including a wide variety of ...
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Identifiability of the deconvolution problem
Automatica, 1988zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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