Paper
18 January 2010 Filter methods to preserve local contrast and to avoid artifacts in gamut mapping
Marcel Meili, Dennis Küpper, Zofia Barańczuk, Ursina Caluori, Klaus Simon
Author Affiliations +
Proceedings Volume 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications; 75280I (2010) https://doi.org/10.1117/12.838974
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Contrary to high dynamic range imaging, the preservation of details and the avoidance of artifacts is not explicitly considered in popular color management systems. An effective way to overcome these difficulties is image filtering. In this paper we investigate several image filter concepts for detail preservation as part of a practical gamut mapping strategy. In particular we define four concepts including various image filters and check their performance with a psycho-visual test. Additionally, we compare our performance evaluation to two image quality measures with emphasis on local contrast. Surprisingly, the most simple filter concept performs highly efficient and achieves an image quality which is comparable to the more established but slower methods.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcel Meili, Dennis Küpper, Zofia Barańczuk, Ursina Caluori, and Klaus Simon "Filter methods to preserve local contrast and to avoid artifacts in gamut mapping", Proc. SPIE 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications, 75280I (18 January 2010); https://doi.org/10.1117/12.838974
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Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Image quality

Quality measurement

Algorithm development

Optical filters

Visualization

Reconstruction algorithms

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