Multi-aperture optics as a universal platform for computational imaging

被引：10
|
作者：
Tanida, Jun [1 ]
机构：
[1] Osaka Univ, Grad Sch Informat Sci & Technol, Dept Informat & Phys Sci, Suita, Osaka, Japan
来源：
OPTICAL REVIEW | 2016年 / 23卷 / 05期
关键词：
Multi-aperture optics; Compound-eye imaging; Computational imaging; Image processing; Compressive sensing; EXTENDED DEPTH; COMPOUND EYES; FIELD;
D O I：
10.1007/s10043-016-0256-0
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Computational imaging is a novel imaging framework based on optical encoding and computational decoding. To avoid a heuristic design that depends on the particular problem to be solved, multi-aperture optics is useful as a universal platform for optical encoding. In this paper, the fundamental properties of multi-aperture optics are summarized. Then some examples of interesting functions implemented by multi-aperture optics are explained, together with some effective applications.
引用
收藏
页码：859 / 864
页数：6
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