0508020 20241106135744.820190904235959.9 85072869244 10.1007/978-3-030-29888-3_34 Robust Histogram Estimation Under Gaussian Noise 12 s. P cav_un_epca*0508720978-3-030-29929-3Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings421-432ChamSpringer2019VentoM.PercannellaG.ColantonioS.GiorgiD.MatuszewskiB. J.KerdegariH.RazaakM. Gaussian additive noise Multidimensional histogram Invariant characteristics Moments Projection operator cav_un_auth*0336802 Kostková Jitka UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/ZOI/kostkova-0508020.pdf cav_un_auth*0360229 GA18-07247S GA ČR 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. cav_un_auth*0380252 International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./ 20190902 20190906 Salerno IT JD 20000 20200 20206 2020 2 4 A sml 4as 20241106135744.8 PR RVO:67985556 http://hdl.handle.net/11104/0299551 S Consent to publish 20190528 Copyright 2019 Soubory v repozitáři: kostkova-0508020-Consent to publish.pdf 85072869244 SCOPUS PUBMED WOS cav_un_epca*0508720 Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings Springer 2019 Cham 421 432 978-3-030-29929-3 Communications in Computer and Information Science 1089 340 Vento M. 340 Percannella G. 340 Colantonio S. 340 Giorgi D. 340 Matuszewski B. J. 340 Kerdegari H. 340 Razaak M.