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  Demosaicing by Smoothing along 1D Features

Ajdin, B., Hullin, M. B., Fuchs, C., Seidel, H.-P., & Lensch, H. P. A. (2008). Demosaicing by Smoothing along 1D Features. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008) (pp. 2423-2430). Los Alamitos, CA: IEEE Computer Society.

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 Urheber:
Ajdin, Boris1, Autor           
Hullin, Matthias B.1, 2, Autor           
Fuchs, Christian1, Autor           
Seidel, Hans-Peter1, Autor           
Lensch, Hendrik P. A.1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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Schlagwörter: -
 Zusammenfassung: Most digital cameras capture color pictures in the form of an image mosaic, recording only one color channel at each pixel position. Therefore, an interpolation algorithm needs to be applied to reconstruct the missing color information. In this paper we present a novel Bayer pattern demosaicing approach, employing stochastic global optimization performed on a pixel neighborhood. We are minimizing a newly developed cost function that increases smoothness along one-dimensional image features. While previous algorithms have been developed focusing on LDR images only, our optimization scheme and the underlying cost function are designed to handle both LDR and HDR images, creating less demosaicing artifacts, compared to previous approaches.

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Sprache(n): eng - English
 Datum: 2009-03-202008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Los Alamitos, CA : IEEE Computer Society
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 427963
DOI: 10.1109/CVPR.2008.4587653
URI: http://www.mpi-inf.mpg.de/~bajdin/CVPR_final_ver1.pdf
Anderer: Local-ID: C125756E0038A185-E686CD2042F87A2AC125755500477C99-Ajdin2008
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Anchorage, AK, USA
Start-/Enddatum: 2008-06-23 - 2008-06-28

Entscheidung

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Titel: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos, CA : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 2423 - 2430 Identifikator: ISBN: 978-1-4244-2242-5