Polarimetric 3D integral imaging in photon-starved conditions

Carnicer, Artur; Javidi, Bahram

doi:10.1364/oe.23.006408

Cited by 39 publications

(18 citation statements)

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“…A passive polarimetric integral imaging technique has been used for 3D polarization measurement, and optical or computational 3D visualization [46][47] [83] [84]. In this section, we present the results obtained by polarimetric 3D sensing and visualization systems under various conditions.…”

Section: D Polarimetric Integral Imagingmentioning

confidence: 99%

“…In [84], a method for polarimetric 3D integral imaging in photon starved conditions was proposed. As the photon counting images captured under low light illumination > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 9 conditions are very sparse, the Stokes parameters and the degree of polarization are difficult to measure with conventional methods.…”

Section: D Polarimetric Integral Imaging In Photon Starved Conditmentioning

confidence: 99%

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Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

et al. 2017

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Abstract-Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, and defense. Among different three-dimensional (3D) imaging methods, integral imaging is a promising multiperspective sensing and display technique. Compared with other 3D imaging techniques, integral imaging can capture a scene using an incoherent light source and generate real 3D images for observation without any special viewing devices. This review paper describes passive multidimensional imaging systems combined with different integral imaging configurations. One example is the integral imaging based Multidimensional Optical Sensing and Imaging Systems (MOSIS), which can be used for 3D visualization, seeing through obscurations, material inspection, and object recognition from micro scales to long range imaging. This system utilizes many degrees of freedom such as time and space multiplexing, depth information, polarimetric, temporal, photon flux and multispectral information based on integral imaging to record and reconstruct the multidimensionally integrated scene. Image fusion may be used to integrate the multidimensional images obtained by polarimetric sensors, multispectral cameras, and various multiplexing techniques. The multidimensional images contain substantially more information compared with two-dimensional (2D) images or conventional 3D images. In addition, we present recent progress and applications of 3D integral imaging including human gesture recognition in the time domain, depth estimation, mid-wave infrared photon counting, 3D polarimetric imaging for object shape and material identification, dynamic integral imaging implemented with liquid crystal devices, and 3D endoscopy for healthcare applications.

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Section: D Polarimetric Integral Imagingmentioning

confidence: 99%

Section: D Polarimetric Integral Imaging In Photon Starved Conditmentioning

confidence: 99%

Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

et al. 2017

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“…To meet this challenge continuing efforts have been invested to design easy, rapid, sensitive and selective biosensing platforms [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. However, efforts mostly remain confined to the diagnostic labs, because such diagnostics require use of expensive devices.…”

Section: Introductionmentioning

confidence: 99%

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Kumar¹

2017

IJBSBE

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“…Several techniques have been proposed for producing an InIm from elemental images recorded with few photons [11][12][13][14]. In particular, the Maximum Likelihood Estimation (MLE) is a simple but effective method that produces reasonable results.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the estimation of the DoP using this technique provides wrong results since the evaluation of the degree of polarization involves several floating point calculations using noisy photon-counting elemental images. Recently, we proposed a successful alternative for estimating the DoP in low light conditions [14]. Polarimetric 3D InIm are obtained using the MLE and subsequently denoised using a Total Variance filter.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the degree of polarization in low-light 3D integral imaging

Carnicer¹,

Javidi²

2016

SPIE Proceedings

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The calculation of the Stokes Parameters and the Degree of Polarization in 3D integral images requires a careful manipulation of the polarimetric elemental images. This fact is particularly important if the scenes are taken in low light conditions. In this communication, we show that the Degree of Polarization can be effectively estimated when elemental images are recorded with few photons. First, we use the Maximum Likelihood Estimation approach for generating the 3D integral image. Nevertheless, this method produces very noisy images and thus, the degree of polarization cannot be calculated. We suggest using a Total Variation Denoising filter as a way to improve the quality of the generated 3D images. As a result, noise is suppressed but high frequency information is preserved. Finally, the degree of polarization is obtained successfully..

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Polarimetric 3D integral imaging in photon-starved conditions

Cited by 39 publications

References 39 publications

Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Estimation of the degree of polarization in low-light 3D integral imaging

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