Number of the records: 1
Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function
- 1.
SYSNO ASEP 0437057 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function Author(s) Švihlík, J. (CZ)
Fliegel, K. (CZ)
Kukal, J. (CZ)
Jerhotova, E. (CZ)
Páta, P. (CZ)
Vítek, S. (CZ)
Koten, Pavel (ASU-R) RID, ORCIDSource Title Journal of Electronic Imaging - ISSN 1017-9909
Roč. 21, č. 2 (2012), 023025/1-023025/16Number of pages 16 s. Publication form Print - P Language eng - English Country US - United States Keywords dark current ; supperssion ; images Subject RIV IN - Informatics, Computer Science R&D Projects GA205/09/1302 GA ČR - Czech Science Foundation (CSF) Institutional support ASU-R - RVO:67985815 UT WOS 000306436900044 DOI https://doi.org/10.1117/1.JEI.21.2.023025 Annotation We discuss methods for modeling and removal of noise in astronomical images. For its favorable properties, we exploit the undecimated wavelet representation and apply noise suppression in this domain. Usually, the noise analysis of the studied imaging system is carried out in the spatial domain. However, noise in astronomical data is non-Gaussian, and thus the noise model parameters need to be estimated directly in the wavelet domain. We derive equations for estimating the sample moments for non-Gaussian noise in the wavelet domain. We consider that the sample moments in the spatial domain are known from the noise analysis and that the model parameters are estimated by using the method of moments. (C) 2012 SPIE and IS&T. Workplace Astronomical Institute Contact Anežka Melichárková, bibl@asu.cas.cz, Tel.: 323 620 326 Year of Publishing 2015
Number of the records: 1