Saliency driven Black Point Compensation

Albrecht Lindner; Nicolas Bonnier; Sabine Süsstrunk

doi:10.1117/12.872448

25 January 2011 Saliency driven Black Point Compensation

Albrecht Lindner, Nicolas Bonnier, Sabine Süsstrunk

Proceedings Volume 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications; 786609 (2011) https://doi.org/10.1117/12.872448
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Albrecht Lindner, Nicolas Bonnier, and Sabine Süsstrunk "Saliency driven Black Point Compensation", Proc. SPIE 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications, 786609 (25 January 2011); https://doi.org/10.1117/12.872448

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