Saliency-driven Black Point Compensation

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.


Published in:
Proceedings SPIE , 7866, 8
Presented at:
IS&T / SPIE Electronic Imaging, Color Imaging XVI: Display, Processing, Hardcopy, and Applications, San Francisco, CA, USA, January 23-27, 2011
Year:
2011
Publisher:
Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa
Keywords:
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 Record created 2011-01-24, last modified 2018-03-17

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