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Proceedings Paper

Saliency driven Black Point Compensation
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Paper Abstract

We present a novel framework for automatically determining whether or not to apply black point compensation (BPC) in image reproduction. Visually salient objects have a larger influence on determining image quality than the number of dark pixels in an image, and thus should drive the use of BPC. We propose a simple and efficient algorithmic implementation to determine when to apply BPC based on low-level saliency estimation. We evaluate our algorithm with a psychophysical experiment on an image data set printed with or without BPC on a Canon printer. We find that our algorithm is correctly able to predict the observers' preferences in all cases when the saliency maps are unambiguous and accurate.

Paper Details

Date Published: 25 January 2011
PDF: 9 pages
Proc. SPIE 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications, 786609 (25 January 2011); doi: 10.1117/12.872448
Show Author Affiliations
Albrecht Lindner, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Océ Print Logic Technologies (France)
Nicolas Bonnier, Océ Print Logic Technologies (France)
Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 7866:
Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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