A depth-based super-resolution method for multi-view color images

被引：0
|
作者：
Fan, Jun [1 ]
Zeng, Xiangrong [1 ]
Huangpeng, Qizi [1 ]
Zhou, Jinglun [1 ]
Feng, Jing [1 ]
机构：
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha, Hunan, Peoples R China
来源：
FIRST INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION | 2016年 / 0011卷
关键词：
Super resolution; depth estimation; graph cuts; CAMERA ARRAY;
D O I：
10.1117/12.2242810
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Our paper presents a method for reconstructing a high-resolution (HR) image from a set of multi-view color images captured by a camera array. First, an accurate depth map of low-resolution (LR) image captured by a selected reference camera is obtained using graph cuts. Then, a HR image corresponding to the reference camera can be estimated by super-resolution reconstruction. Experiments on real images show the effectiveness of our method.
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页数：7
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