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Proceedings Paper

Image lightness rescaling using sigmoidal contrast enhancement functions
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Paper Abstract

In color gamut mapping of pictorial images, the lightness rendition of the mapped images plays a major role in the quality of the final image. For color gamut mapping tasks, where the goal is to produce a match to the original scene, it is important to maintain the perceived lightness contrast of the original image. Typical lightness remapping functions such as linear compression, soft compression, and hard clipping reduce the lightness contrast of the input image. Sigmoidal remapping functions were utilized to overcome the natural loss in perceived lightness contrast that results when an image from a full dynamic range device is scaled into the limited dynamic range of a destination device. These functions were tuned to the particular lightness characteristics of the images used and the selected dynamic ranges. The sigmoidal remapping functions were selected based on an empirical contrast enhancement model that was developed for the result of a psychophysical adjustment experiment. The results of this study showed that it was possible to maintain the perceived lightness contrast of the images by using sigmoidal contrast enhancement functions to selectively rescale images from a source device with a full dynamic range into a destination device with a limited dynamic range.

Paper Details

Date Published: 22 December 1998
PDF: 12 pages
Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); doi: 10.1117/12.334548
Show Author Affiliations
Gustav J. Braun, Rochester Institute of Technology (United States)
Mark D. Fairchild, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3648:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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