Compressive imaging via a rotating coded aperture

被引：16

作者：

Don, Michael L. ^{[1
]}

Fu, Chen ^{[2
]}

Arce, Gonzalo R. ^{[2
]}

机构：

[1] US Army Res Lab, Aberdeen Proving Ground, MD 21005 USA

[2] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

来源：

APPLIED OPTICS | 2017年 / 56卷 / 03期

关键词：

BLUE-NOISE;

D O I：

10.1364/AO.56.00B142

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Compressive sensing has been used to increase the resolution of sensor arrays, allowing high-resolution images to be obtained from low-resolution or even single pixel sensors. This paper introduces a rotating coded aperture for compressive imaging that has advantages over other sensing strategies. The design of the code geometry is motivated by constraints imposed by the imager's rotation. The block-unblock code pattern is optimized by minimizing the mutual coherence of the sensing matrix. Simulation results are presented, using the final code design to successfully recover high-resolution images from a very small sensor array. (C) 2016 Optical Society of America

引用

页码：B142 / B153

页数：12

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