A compound-eye imaging system with irregular lens-array arrangement

A compound-eye imaging system with irregular lens-array arrangement
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DOI:
10.1117/12.796698
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发表时间:
2008-09
期刊:
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影响因子:
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通讯作者:
R. Horisaki;Y. Nakao;T. Toyoda;K. Kagawa;Y. Masaki;J. Tanida
R. Horisaki;Y. Nakao;T. Toyoda;K. Kagawa;Y. Masaki;J. Tanida
中科院分区:
其他
文献类型:
--
作者:
R. Horisaki;Y. Nakao;T. Toyoda;K. Kagawa;Y. Masaki;J. Tanida

文献摘要

相似文献

TOMBO(Bound Optics 的薄型观察模块)是一种受昆虫视觉器官启发的复眼成像系统。 TOMBO 与传统成像系统相比具有多种优势。然而,为了证明 TOMBO 作为成像系统的适用性,高分辨率成像非常重要且不可避免。在这项研究中,提出了一种具有不规则透镜阵列排列的TOMBO系统,并提出了一种将超分辨率过程与三维物体深度采集相结合的高分辨率成像方法。所提出的TOMBO系统提高了远物体的图像分辨率,因为它可以减轻由于传统TOMBO系统中透镜阵列的规则排列而引起的远物体上采样点的退化。实验TOMBO的镜头焦距为1.3mm,镜头间距为0.5mm,光圈直径为0.5mm,单元数为3×3,单元像素数为160×160,像素间距为3.125μm。目标平面物体位于距 TOMBO 系统 5 m 处。仿真结果表明,采样点覆盖率、超分辨图像PSNR和物体深度估计误差分别提高了50%、3 dB和56%。实验结果表明,通过超分辨率处理,对位于3.2 m处的平面物体的深度估计误差为18%,单位中心123 lp/mm的对比度提高了0.38。
TOMBO (Thin Observation Module by Bound Optics) is a compound-eye imaging system inspired by a visual organ of insects. TOMBO has various advantages over conventional imaging systems. However, to demonstrate applicability of TOMBO as an imaging system, high-resolution imaging is significant and unavoidable. In this study, a TOMBO system with irregular lens-array arrangement is proposed and a high-resolution imaging method integrating a super-resolution process with depth acquisition of three-dimensional objects is presented. The proposed TOMBO system improves image resolution for far objects, because it can alleviate degeneration of the sampling points on the far objects caused by the regular arrangement of the lens array in the conventional TOMBO system. An experimental TOMBO has 1.3 mm focal length of lens, 0.5 mm pitch of lenses, 0.5 mm diameter of aperture, 3 × 3 of units, 160 × 160 pixels per unit, and 3.125 μm pitch of pixel. The target planar object is located at 5 m from the TOMBO system. The simulation result shows that the coverage ratio of the sampling points, PSNR of the super-resolved image, and the error of the depth estimation for the object are improved by 50%, 3 dB, and 56%, respectively. The experimental result shows that the error of depth estimation for the planar object located at 3.2 m is 18% and that the contrast of 123 lp/mm at the center of a unit is improved by 0.38 with the super-resolution processing.