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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2008.16
|2 doi
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|a DE-627
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|a eng
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|a Lee, John A
|e verfasserin
|4 aut
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|a Edge-preserving filtering of images with low photon counts
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|c 2008
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 27.06.2008
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a Edge-preserving filters such as local M-smoothers or bilateral filtering are usually designed for Gaussian noise. This paper investigates how these filters can be adapted in order to efficiently deal with Poissonian noise. In addition, the issue of photometry invariance is addressed by changing the way filter coefficients are normalized. The proposed normalization is additive, instead of being multiplicative, and leads to a strong connection with anisotropic diffusion. Experiments show that ensuring the photometry invariance leads to comparable denoising performances in terms of the root mean square error computed on the signal
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|a Evaluation Study
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|a Journal Article
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|a Geets, Xavier
|e verfasserin
|4 aut
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|a Grégoire, Vincent
|e verfasserin
|4 aut
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| 700 |
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|a Bol, Anne
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 30(2008), 6 vom: 20. Juni, Seite 1014-27
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:30
|g year:2008
|g number:6
|g day:20
|g month:06
|g pages:1014-27
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|u http://dx.doi.org/10.1109/TPAMI.2008.16
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