Reconstruction W. von der Linden, V. Dose, and R. Fischer Max-Planck-Institut ...  Home/Search
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Abstract: Bayesian probability theory allows to infer an image given data constraints, prior knowledge, and background information. One ingredient of the background information is usually paid little attention, namely the image-grid, i.e. the points on which the desired image is reconstructed. In many problems an equidistant mesh is used. The choice of the image-grid can, however, strongly influence the reconstruction: if the grid is too coarse accuracy is wasted, if it is too fine artificial structures... (Update)
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2.8: Spline-Based Adaptive Resolution Image - Reconstruction Von Der (Correct)
2.2: Spline-Based Adaptive Resolution Image Reconstruction - von der Linden, Dose, Fischer (1996) (Correct)
0.4: Adaptive Kernels And Occam's Razor In Inversion Problems - Fischer, von der Linden, Dose (1996) (Correct)
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0.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ der-splinebased,
author = "Reconstruction Von Der",
title = "Spline-Based Adaptive Resolution Image",
url = "citeseer.ist.psu.edu/742550.html" }
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2 Adaptive kernals and occam's razor in inversion problems (context) - Fischer, von der Linden et al. - 1997
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