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  Removing noise from astronomical images using a pixel-specific noise model

Burger, H., Schölkopf, B., & Harmeling, S. (2011). Removing noise from astronomical images using a pixel-specific noise model. In H. Lensch, S. Narasimhan, & M. Testorf (Eds.), IEEE International Conference on Computational Photography (ICCP 2011) (pp. 1-8). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BC42-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-0D6F-5
Genre: Conference Paper

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 Creators:
Burger, HC1, 2, Author              
Schölkopf, B1, 2, Author              
Harmeling, S1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: For digital photographs of astronomical objects, where exposure times are usually long and ISO settings high, the so-called dark-current is a significant source of noise. Dark-current refers to thermally generated electrons and is therefore present even in the absence of light. This paper presents a novel approach for denoising astronomical images that have been corrupted by dark-current noise. Our method relies on a probabilistic description of the dark-current of each pixel of a given camera. The noise model is then combined with an image prior which is adapted to astronomical images. In a laboratory environment, we use a black and white CCD camera containing a cooling unit and show that our method is superior to existing methods in terms of root mean squared error. Furthermore, we show that our method is practically relevant by providing visually more appealing results on astronomical photographs taken with a single lens reflex CMOS camera.

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 Dates: 2011-04
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICCPHOT.2011.5753128
BibTex Citekey: BurgerSH2011
 Degree: -

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Title: IEEE International Conference on Computational Photography (ICCP 2011)
Place of Event: Pittsburgh, PA, USA
Start-/End Date: 2011-04-08 - 2011-04-10

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Title: IEEE International Conference on Computational Photography (ICCP 2011)
Source Genre: Proceedings
 Creator(s):
Lensch, H, Editor
Narasimhan, SL, Editor
Testorf, ME, Editor
Affiliations:
-
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 8 Identifier: ISBN: 978-1-6128-4706-1