Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition

Horisaki, Ryoichi; Choi, Kerkil; Hahn, Joonku; Tanida, Jun; Brady, David J.

doi:10.1364/oe.18.019367

Cited by 35 publications

(12 citation statements)

References 24 publications

(39 reference statements)

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“…11 This section shows the implementations of the coding scheme for the applications. Those applications can be combined for multidimensional imaging.…”

Section: Applicationsmentioning

confidence: 99%

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Multidimensional TOMBO imaging and its applications

Horisaki

Tanida

2011

SPIE Proceedings

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We present a framework of multi-dimensional compound-eye imaging with the thin observation module by bound optics (TOMBO) and its applications. In the system, each of sub-optics equips optical coding elements to shear or to weight the multi-dimensional object information along the axial direction. The encoded information is integrated onto the detectors in the sub-optics. The object is reconstructed by a compressive sensing algorithm. The framework can be applied to various optical information acquisitions. We describe some applications of the framework including spectral imaging, polarization imaging, and so on.

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“…11 This section shows the implementations of the coding scheme for the applications. Those applications can be combined for multidimensional imaging.…”

Section: Applicationsmentioning

confidence: 99%

“…[5][6][7][8][9][10] We have proposed a generalized framework to acquire multidimensional optical data with a compound-eye imaging system named thin observation by bound optics (TOMBO). 11 The framework realizes multidimensional imaging with a compact hardware. This proceeding shows the concept briefly and its applications.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional TOMBO imaging and its applications

Horisaki

Tanida

2011

SPIE Proceedings

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“…Compressive imaging (CI) techniques were developed for various purposes, such as reducing hardware requirements [3][4][5], shortening image scanning times [3,6], increasing resolution [7][8][9][10], motion tracking [11,12], imaging through partial occlusion [13], imaging with a single bit sensor [14], and improving other imaging performances [15]. A review of CI techniques may be found in [16].…”

Section: Introductionmentioning

confidence: 99%

Quantization error and dynamic range considerations for compressive imaging systems design

2013

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A natural field of application for compressive sensing theory is imaging. Indeed, numerous compressive imaging (CI) systems and applications have been developed during the last few years. This work addresses the quantization effect in CI, which is fundamental for most CI architectures. In this paper, the implications of sensor quantization on universal CI are investigated theoretically and demonstrated with numerical experiments. It is shown that employing a CI framework may set severe requirements on the quantization depth of the optical sensor used. The quantization depth overhead requirement may be prohibitive in many optical imaging scenarios employing typical CI architectures. Practical solutions that significantly alleviate this requirement are suggested.

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“…Through the imaging of each microlens on the photo-detector, a wide field of view (FOV) detection can be realized. Recently, some miniaturized imaging systems based on artificial compound-eye have been proposed, such as an artificial apposition compound-eye imaging system designed based on the opposition compound eyes of small invertebrates [6], thin observation module by Bound Optics TOMBO [7], and reconstruction methods based on interpolation of pixel values [8]. The methods can be used in detection with large area, but imaging with the wider FOV has been limited by the planar microlens array of the system.…”

Section: Introductionmentioning

confidence: 99%

Artificial compound-eye imaging system with a large field of view based on a convex solid substrate

Zhang

Shi

et al. 2010

SPIE Proceedings

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A compound-eye imaging system has been proposed in which the microlenses arranged in a convex solid substrate are designed for satisfying the requirement of both a large field of view and a flat receiving plane. Based on the geometrical optics, the formulas are established for determining the parameters of the microlens in the different positions so that the focal spots of the microlens array can properly be settled on a flat plane. With the method, ray tracing is carried out for simulating the focusing process of the compound-eye imaging system. The results show that the focal spots distributed on a plane are achieved and the field of view of the system can be up to 60°.

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Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition

Cited by 35 publications

References 24 publications

Multidimensional TOMBO imaging and its applications

Multidimensional TOMBO imaging and its applications

Quantization error and dynamic range considerations for compressive imaging systems design

Artificial compound-eye imaging system with a large field of view based on a convex solid substrate

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