Multi-aperture optics as a universal platform for computational imaging,
Multi-aperture optics as a universal platform for computational imaging,
复制标题
多孔径光学作为计算成像的通用平台,
DOI:
10.1007/s10043-016-0256-0
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发表时间:
2016
期刊:
影响因子:
1.2
通讯作者:
Jun Tanida
中科院分区:
文献类型:
--
作者:
Jun Tanida;Hirotsugu Akiyama;Keiichiro Kagawa;Chizuko Ogata;Makoto Umeda;西村航,鈴木健吾,浅胡武志,竹下勉,吉田拓生,岡島茂樹,中山和也,金信弘,武内勇司,飯田崇史,武政健一,浅野千紗,笠島誠嘉,小川勇,古屋岳,加藤幸弘,他COBAND実験メンバー;Jun Tanida
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.