Image Fusion for optimizing Gamut Mapping

被引：0
|
作者：
Zolliker, Peter [1 ]
Baranczuk, Zofia [1 ]
Giesen, Joachim [2 ]
机构：
[1] Swiss Fed Lab Mat Testing & Res Empa, Lab Media Technol, Dubendorf, Switzerland
[2] Univ Jena, D-07745 Jena, Germany
来源：
NINETEENTH COLOR AND IMAGING CONFERENCE: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, AND APPLICATIONS | 2011年
关键词：
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
In this paper we study a local, image dependent approach to the gamut mapping problem. A structural image quality measure is used to pick an optimal mapping algorithm for image patches from a given class of algorithms. The optimally mapped patches are then fused into a single mapping of the image. We discuss and compare two image fusion methods that are designed to avoid artifacts in the fused image. Psycho-visual experiments confirm that this approach has a good potential to obtain mapped images with higher perceived quality than any of the individual algorithms, on which the method is based.
引用
收藏
页码：109 / 114
页数：6
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