NDLI: Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images

Content Provider	Springer Nature Link
Author	Yee, Yangli Hector Pattanaik, Sumanta
Copyright Year	2003
Abstract	Realistic display of high-dynamic range images is a difficult problem. Previous methods for high-dynamic range image display suffer from halo artifacts or are computationally expensive. We present a novel method for computing local adaptation luminance that can be used with several different visual adaptation-based tone-reproduction operators for displaying visually accurate high-dynamic range images. The method uses fast image segmentation, grouping, and graph operations to generate local adaptation luminance. Results on several images show excellent dynamic range compression, while preserving detail without the presence of halo artifacts. With adaptive assimilation, the method can be configured to bring out a high-dynamic range appearance in the display image. The method is efficient in terms of processor and memory use.
Starting Page	457
Ending Page	466
Page Count	10
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	19
Issue Number	7-8
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2003-12-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Image processing Image segmentation Signal processing Biological modeling Tone reproduction operator Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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