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一致冗余阵列:数字重建方法。

Uniformly redundant arrays: digital reconstruction methods.

作者信息

Fenimore E E, Cannon T M

出版信息

Appl Opt. 1981 May 15;20(10):1858-64. doi: 10.1364/AO.20.001858.

DOI:10.1364/AO.20.001858
PMID:20332847
Abstract

Several new digital reconstruction techniques for coded aperture imaging are developed which are especially applicable to uniformly redundant arrays (URAs). The techniques provide improved resolution without upsetting the artifact-free nature of URAs. Two new techniques are described; one which allows self-supporting URAs and one which avoids (or at least mitigates) a blur which has been associated with previous correlation analyses. Each of the methods and their resolution improvements are demonstrated with reconstructions of a laser-driven compression. Particular emphasis has been placed on the special sampling required of the encoded picture and the decoding function if artifacts are to be avoided. For large URAs, it is shown that another new digital technique, periodic decoding, is much faster. Periodic decoding does produce artifacts, but they usually are negligible.

摘要

开发了几种用于编码孔径成像的新数字重建技术,这些技术特别适用于均匀冗余阵列(URA)。这些技术在不影响URA无伪影特性的情况下提高了分辨率。描述了两种新技术;一种允许自支撑URA,另一种避免(或至少减轻)与先前相关分析相关的模糊。通过激光驱动压缩的重建展示了每种方法及其分辨率的提高。如果要避免伪影,特别强调了编码图像所需的特殊采样和解码功能。对于大型URA,结果表明另一种新的数字技术——周期解码,速度要快得多。周期解码确实会产生伪影,但通常可以忽略不计。

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Uniformly redundant arrays: digital reconstruction methods.一致冗余阵列:数字重建方法。
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