Image reconstruction from undersampled confocal microscopy data using multiresolution based maximum entropy regularization
We consider the problem of reconstructing 2D images from randomly under-sampled confocal microscopy samples. The well known and widely celebrated total variation regularization, which is the ℓ1 norm of derivatives, turns out to be unsuitable for this problem; it is unable to handle both noise and un...
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Published in | Journal of instrumentation Vol. 14; no. 7; p. P07015 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
16.07.2019
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Subjects | |
Online Access | Get full text |
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