A Novel Depth Estimation Method Using Infocused and Defocused Images

被引：0
|
作者：
Mahmoudpour, Saeed [1 ]
Kim, Manbae [1 ]
机构：
[1] Kangwon Natl Univ, Dept Comp & Commun Eng, Chuncheon Si, Kangwon, South Korea
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2014年
关键词：
Depth map; Image blur; Gradient; Saliency;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The blur amount of an image changes proportional to scene depth. Depth from Defocus (DFD) is an approach in which a depth map can be obtained using blur amount calculation. In this paper, a novel DFD method is proposed in which depth is measured using an infocused and a defocused image. Subbaro's algorithm [4] is used as a preliminary depth estimation method and two complimentary approaches are provided to overcome drawbacks in edge and smooth areas(1).
引用
收藏
页码：123 / 124
页数：2
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