Exposure Fusion Algorithm for Scenes with an Extremely High Dynamic Range

被引：0
|
作者：
Mun, Junwon [1 ]
Jang, Yunseok [1 ]
Kim, Jaeseok [1 ]
机构：
[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul, South Korea
来源：
PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, (IWSSIP 2016) | 2016年
关键词：
High dynamic range; exposure; halo; HDR; HSV; IMAGES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.
引用
收藏
页码：57 / 60
页数：4
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