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  Denoising photographs using dark frames optimized by quadratic programming

Gomez Rodriguez, M., Kober, J., & Schölkopf, B. (2009). Denoising photographs using dark frames optimized by quadratic programming. In 2009 IEEE International Conference on Computational Photography (ICCP) (pp. 1-9). Piscataway, NJ, USA: IEEE.

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Gomez Rodriguez, M, Author           
Kober, J1, 2, Author           
Schölkopf, B1, 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: Photographs taken with long exposure or high ISO setting may contain substantial amounts of noise, drastically reducing the Signal-To-Noise Ratio (SNR). This paper presents a novel optimization approach for denoising. It is based on a library of dark frames previously taken under varying conditions of temperature, ISO setting and exposure time, and a quality measure or prior for the class of images to denoise. The method automatically computes a synthetic dark frame that, when subtracted from an image, optimizes the quality measure. For specific choices of the quality measure, the denoising problem reduces to a quadratic programming (QP) problem that can be solved efficiently. We show experimentally that it is sufficient to consider a limited subsample of pixels when evaluating the quality measure in the optimization, in which case the complexity of the procedure does not depend on the size of the images but only on the number of dark frames. We provide quantitative experimental results showing that our method automatically computes dark frames that are competitive with those taken under idealized conditions (controlled temperature, ISO setting, exposure time, and averaging of multiple exposures). We provide application examples in astronomical image denoising. The method is validated on two CMOS SLRs.

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 Dates: 2009-04
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1109/ICCPHOT.2009.5559013
BibTex Citekey: 5491
 Degree: -

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Title: First IEEE International Conference Computational Photography (ICCP 2009)
Place of Event: San Francisco, CA, USA
Start-/End Date: 2009-04-16 - 2009-04-17

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Title: 2009 IEEE International Conference on Computational Photography (ICCP)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 9 Identifier: ISBN: 978-1-4244-4534-9