19 September 2017 Smoothing of astronomical images with Poisson distribution
Author Affiliations +
Abstract
Images obtained from an astronomical digital camera are of integer nature as event counters in every pixel of its image sensor. The quality of the captured images is in uenced mostly by the camera characteristics and photon noise caused by natural random uctuation of observed light. We suppose the image pixel intensity as a mean value of the signal with Poisson distribution. The application of maximum likelihood method with image gradient regularization leads to variational task in discrete formulation. This variational task has only one unique solution on which the novel numerical method of image smoothing is based. The performance of the proposed smoothing procedure is tested using real images obtained from the digital camera in Meteor Automatic Imager and Analyzer (MAIA).
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zuzana Krbcová, Zuzana Krbcová, Jaromír Kukal, Jaromír Kukal, Jan Švihlík, Jan Švihlík, Karel Fliegel, Karel Fliegel, } "Smoothing of astronomical images with Poisson distribution", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962V (19 September 2017); doi: 10.1117/12.2274121; https://doi.org/10.1117/12.2274121
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Discomfort glare measurement
Proceedings of SPIE (August 05 2009)
A powerful ethernet interface module for digital camera control
Proceedings of SPIE (September 24 2012)
Fast shape from focus using dynamic programming
Proceedings of SPIE (March 16 2000)
High-dynamic-range imaging for digital still camera
Proceedings of SPIE (April 24 2002)
Image acquisition system with three CCD cameras
Proceedings of SPIE (September 24 2012)
HDTV camera using digital contour
Proceedings of SPIE (August 12 1992)

Back to Top