Lindner, AlbrechtBonnier, NicolasSüsstrunk, Sabine2011-01-242011-01-242011-01-24201110.1117/12.872448https://infoscience.epfl.ch/handle/20.500.14299/63270WOS:000293627700008We 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.black point compensationsaliencycolor re-renderingICCgamut mappingtext::conference output::conference proceedings::conference paper