Robust Histogram Estimation Under Gaussian Noise
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00508020" target="_blank" >RIV/67985556:_____/19:00508020 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_34" target="_blank" >http://dx.doi.org/10.1007/978-3-030-29888-3_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_34" target="_blank" >10.1007/978-3-030-29888-3_34</a>
Alternative languages
Result language
angličtina
Original language name
Robust Histogram Estimation Under Gaussian Noise
Original language description
We present a novel approach to description of a multidimensional image histogram insensitive with respect to an additive Gaussian noise in the image. The proposed quantities, although calculated from the histogram of the noisy image, represent the histogram of the original clear image. Noise estimation, image denoising and histogram deconvolution are avoided.We construct projection operators, that divide the histogram into non-Gaussian and Gaussian part, which is consequently removed to ensure the invariance. The descriptors are based on the moments of the histogram of the noisy image. The method can be used in a histogrambased image retrieval systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/GA18-07247S" target="_blank" >GA18-07247S: Methods and Algorithms for Vector and Tensor Field Image Analysis</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings
ISBN
978-3-030-29929-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
421-432
Publisher name
Springer
Place of publication
Cham
Event location
Salerno
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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