Title
Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images
Abbreviated Journal Title
Visual Comput.
Keywords
image processing; image segmentation; signal processing; biological; modeling; tone reproduction operator; TONE REPRODUCTION; Computer Science, Software Engineering
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.
Journal Title
Visual Computer
Volume
19
Issue/Number
7-8
Publication Date
1-1-2003
Document Type
Article
Language
English
First Page
457
Last Page
466
WOS Identifier
ISSN
0178-2789
Recommended Citation
"Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images" (2003). Faculty Bibliography 2000s. 4143.
https://stars.library.ucf.edu/facultybib2000/4143
Comments
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