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.
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