Köhler T, Hornegger J, Mayer MA, Michelson G (2012)
Publication Status: Accepted
Publication Type: Conference contribution, Conference Contribution
Publication year: 2012
Original Authors: Köhler Thomas, Hornegger Joachim, Mayer Markus, Michelson, Georg
Publisher: Springer-Verlag
Pages Range: 292-297
Conference Proceedings Title: Bildverarbeitung für die Medizin 2012
URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Koehler12-QDF.pdf
DOI: 10.1007/978-3-642-28502-8_51
The restoration of noisy images is an essential pre-processing step in many medical applications to ensure sufficient quality for diagnoses. In this paper we present a new quality-guided approach for denoising of eye fundus images that suffer from high noise levels. The denoising is based on image sequences and an adaptive frame averaging approach. The novelty of the method is that it takes an objective image quality criteria to assess the different frames and tries to maximize the quality of the resulting image. It can be implemented in an incremental manner which allows real-time denoising. We evaluated our approach on real image sequences captured by a low-cost fundus camera and obtained competitive results to a state-of-the-art method in terms of signal-to-noise ratio whereas our method performs denoising about four times faster.
APA:
Köhler, T., Hornegger, J., Mayer, M.A., & Michelson, G. (2012). Quality-Guided Denoising for Low-Cost Fundus Imaging. In Springer Berlin Heidelberg (Eds.), Bildverarbeitung für die Medizin 2012 (pp. 292-297). Berlin, DE: Springer-Verlag.
MLA:
Köhler, Thomas, et al. "Quality-Guided Denoising for Low-Cost Fundus Imaging." Proceedings of the Workshop Bildverarbeitung für die Medizin, Berlin Ed. Springer Berlin Heidelberg, Springer-Verlag, 2012. 292-297.
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