ŠVIHLÍK, J., et al. Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function. Journal of Electronic Imaging. 2012, 21(2), 023025-1-023025-15. ISSN 1017-9909. DOI 10.1117/1.JEI.21.2.023025.
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.
info:eu-repo/grantAgreement/Ministry of Education, Youth and Sports/MSM/MSM6840770014/CZ/Research in the Area of the Prospective Information and Navigation Technologies/
dc.relation.projectid
info:eu-repo/grantAgreement/Czech Science Foundation/GA/GA205%2F09%2F1302/CZ/Study of Sporadic Meteors and Weak Meteor Showers using Automatic Video Intensifiers Cameras/MAIA
dc.relation.projectid
info:eu-repo/grantAgreement/Czech Science Foundation/GA/GAP102%2F10%2F1320/CZ/Research and modeling of advanced methods of image quality evaluation/