Results 241 to 250 of about 241,357 (270)
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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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2014
Deconvolution is a classic problem in many disciplines of engineering and science and frequently faced also in the study of physiological and pharmacokinetic systems. In this chapter, we first introduce the deconvolution problem for physiological systems and its inherent difficulties in a formal manner.
SPARACINO, GIOVANNI +3 more
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Deconvolution is a classic problem in many disciplines of engineering and science and frequently faced also in the study of physiological and pharmacokinetic systems. In this chapter, we first introduce the deconvolution problem for physiological systems and its inherent difficulties in a formal manner.
SPARACINO, GIOVANNI +3 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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Nuclear medicine communications, 2004
SCOPUS: le.j ; info:eu-repo/semantics ...
Kuyvenhoven, Jacob +2 more
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SCOPUS: le.j ; info:eu-repo/semantics ...
Kuyvenhoven, Jacob +2 more
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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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Semiparametric Density Deconvolution
Scandinavian Journal of Statistics, 2010The authors consider density \(f\) estimation by i.i.d. observations with the density \[ g(x)=f*\pi(x)=\int f(x-z)\pi(z)dz, \] where \(\pi\) is a known density of an independent measurement error. The idea is to use a parametric working model \(f(x\,|\,\vartheta)=w(x\,|\,\vartheta)g(x)\), where \(w(x\,|\,\vartheta)\), \(\vartheta\in\Theta\), is a model
Hazelton, M.L., Turlach, B.A.
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Local Multichannel Deconvolution
Journal of Mathematical Imaging and Vision, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Easley, G. R., Walnut, D. F.
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SIAM Journal on Applied Mathematics, 2001
Summary: Blind deconvolution seeks to deblur an image without knowing the cause of the blur. Iterative methods are commonly applied to that problem, but the iterative process is slow, uncertain, and often ill-behaved. This paper considers a significant but limited class of blurs that can be expressed as convolutions of two-dimensional symmetric Lévy ...
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Summary: Blind deconvolution seeks to deblur an image without knowing the cause of the blur. Iterative methods are commonly applied to that problem, but the iterative process is slow, uncertain, and often ill-behaved. This paper considers a significant but limited class of blurs that can be expressed as convolutions of two-dimensional symmetric Lévy ...
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Quantitative deconvolution microscopy
2014The light microscope is an essential tool for the study of cells, organelles, biomolecules, and subcellular dynamics. A paradox exists in microscopy whereby the higher the needed lateral resolution, the more the image is degraded by out-of-focus information.
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