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

页码：859 / 864

页数：6

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