• Title/Summary/Keyword: Elemental Imaging

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Nonlinear 3D image correlator using computational integral imaging reconstruction method (컴퓨터 집적 영상 복원 방법을 이용한 비선형 3D 영상 상관기)

  • Shin, Dong-Hak;Hong, Seok-Min;Kim, Kyoung-Won;Lee, Byung-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.155-157
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    • 2012
  • In this paper, we propose a nonlinear 3D image correlator using computational reconstruction of 3D images based on integral imaging. In the proposed method, the elemental images for reference 3D object and target 3D object are recorded through the lens array. The recorded elemental images are reconstructed as reference plane image and target plane images using the computational integral imaging reconstruction algorithm and the nonolinear correlation between them is performed for object recognition. To show the usefulness of the proposed method, the preliminary experiments are carried out and the experimental results are presented compared with the conventional results.

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Visual Quality Enhancement of Three-Dimensional Integral Imaging Reconstruction for Partially Occluded Objects Using Exemplar-Based Image Restoration

  • Zhang, Miao;Zhong, Zhaolong;Piao, Yongri
    • Journal of information and communication convergence engineering
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    • v.14 no.1
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    • pp.57-63
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    • 2016
  • In generally, the resolution of reconstructed three-dimensional images can be seriously degraded by undesired occlusions in the integral imaging system, because the undesired information of the occlusion overlap the three-dimensional images to be reconstructed. To solve the problem of the undesired occlusion, we present an exemplar-based image restoration method in integral imaging system. In the proposed method, a minimum spanning tree-based stereo matching method is used to remove the region of undesired occlusions in each elemental image. After that, the removed occlusion region of each elemental images are re-established by using the exemplar-based image restoration method. For further improve the performance of the image restoration, the structure tensor is used to solve the filling error cause by discontinuous structures. Finally, the resolution enhanced three-dimensional images are reconstructed by using the restored elemental images. The preliminary experiments are presented to demonstrate the feasibility of the proposed method.

Implementation of an Emulator for the Integrated Image Reconstruction according to Distance (거리에 따른 집적 영상 복원을 지원하는 에뮬레이터의 구현)

  • Jang, Ha Eun;Lee, Eun Ji;Lee, Yeon Ju;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.19 no.3
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    • pp.548-556
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    • 2016
  • Integral imaging is an auto-stereoscopic display method that can produce 3D image of a finite viewing window through an array of micro elemental lenses. Integral imaging requires the pickup part of each elemental images acquisition and display part of reconstruction of the images. The successful reconstructed image depends on various parameters such as distance between lens arrays and display device, focal length of lenses, and a number of the array. In this paper, we present reconstruction emulator for display of Integral imaging in order to adjust parameters for 3D contents reconstruction and to observe the result from different configuration. Especially, we provide the user interface for the emulator to control the distance easily. We have confirmed through various experiments that the emulator adjusted the distance and could check error in the process of creating elemental images.

Depth Extraction of Partially Occluded 3D Objects Using Axially Distributed Stereo Image Sensing

  • Lee, Min-Chul;Inoue, Kotaro;Konishi, Naoki;Lee, Joon-Jae
    • Journal of information and communication convergence engineering
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    • v.13 no.4
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    • pp.275-279
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    • 2015
  • There are several methods to record three dimensional (3D) information of objects such as lens array based integral imaging, synthetic aperture integral imaging (SAII), computer synthesized integral imaging (CSII), axially distributed image sensing (ADS), and axially distributed stereo image sensing (ADSS). ADSS method is capable of recording partially occluded 3D objects and reconstructing high-resolution slice plane images. In this paper, we present a computational method for depth extraction of partially occluded 3D objects using ADSS. In the proposed method, the high resolution elemental stereo image pairs are recorded by simply moving the stereo camera along the optical axis and the recorded elemental image pairs are used to reconstruct 3D slice images using the computational reconstruction algorithm. To extract depth information of partially occluded 3D object, we utilize the edge enhancement and simple block matching algorithm between two reconstructed slice image pair. To demonstrate the proposed method, we carry out the preliminary experiments and the results are presented.

Distance Extraction by Means of Photon-Counting Passive Sensing Combined with Integral Imaging

  • Yeom, Seok-Won;Woo, Yong-Hyen;Baek, Won-Woo
    • Journal of the Optical Society of Korea
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    • v.15 no.4
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    • pp.357-361
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    • 2011
  • Photon-counting sensing is a widely used technique for low-light-level imaging applications. This paper proposes a distance information extraction method with photon-counting passive sensing under low-lightlevel conditions. The photo-counting passive sensing combined with integral imaging generates a photon-limited elemental image array. Maximum-likelihood estimation (MLE) is used to reconstruct the photon-limited image at certain depth levels. The distance information is extracted at the depth level that minimizes the sum of the standard deviation of the corresponding photo-events in the elemental image array. Experimental and simulation results confirm that the proposed method can extract the distance information of the object under low-light-level conditions.

Projection-Type Integral Imaging Using a Pico-projector

  • Yang, Yucheol;Min, Sung-Wook
    • Journal of the Optical Society of Korea
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    • v.18 no.6
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    • pp.714-719
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    • 2014
  • A pico-projector is a compact and mobile projector that has an infinite focus. We apply the pico-projector to a projection-type integral imaging system, which can expand the image depth to form multiple central depth planes. In a projection-type integral imaging system, the image flipping problem arises because the expanded elemental images pass through a lens array. To solve this problem, we propose the ray tracing of a pico-projector at a central depth plane and compensate the elemental image using a pixel-mapping process. Experiments to verify the proposed method are performed, and the results are presented.

Optical implementation of unidirectional integral imaging based on pinhole model (핀홀 모델 기반의 1차원 집적 영상 기법의 광학적 구현)

  • Shin, Dong-Hak;Kim, Nam-Woo;Lee, Joon-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.2
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    • pp.337-343
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    • 2007
  • Since three-dimensional (3D) images reconstructed in interval imaging technique are related to the resolution of elemental images, there has been a problem that ray information of elemental images increases largely in order to obtain high-resolution 3D images. In this paper, to overcome this problem, a new unidirectional integral imaging based on pinhole model is proposed. Proposed method provides a new type of unidirectional elemental images, which are simply obtained by magnifying single horizontal pixel line of each elemental image to the vertical size of lenslet using ray analysis based on pinhole model and used to display 3D images. In proposed method, reduction effect of the ray information of elemental images can be obtained by scarifying vortical parallax. Feasibility of the proposed scheme is experimentally demonstrated and its results are presented.

Efficient Algorithms to Generate Elemental Images in Integral Imaging

  • Oh, Se-Chan;Hong, Ji-Soo;Park, Jae-Hyeung;Lee, Byoung-Ho
    • Journal of the Optical Society of Korea
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    • v.8 no.3
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    • pp.115-121
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    • 2004
  • In this paper, we propose a new algorithm to generate elemental images in a computer generated integral imaging system. By comparing the computing time of this algorithm with that of the existing algorithm, we prove the efficiency of this algorithm. Two more algorithms considering the finite size of each pixel are also proposed. These algorithms enhance the quality of the integrated image while generating the elemental image as fast as the existing algorithm.

Elemental Image Synthesis for Integral Imaging Using Phase-shifting Digital Holography

  • Jeong, Min-Ok;Kim, Nam;Park, Jae-Hyeung
    • Journal of the Optical Society of Korea
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    • v.12 no.4
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    • pp.275-280
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    • 2008
  • We propose a method generating elemental images for the integral imaging using 4-step phaseshifting digital holography. Phase shifting digital holography is a way recording the digital hologram by changing the phase of the reference beam and extracting the complex field of the object beam. Since all 3D information is captured by phase-shifting digital holography, the elemental images for any specifications of the lens array can be generated from single phase-shifting digital holography. In experiment, phase-shifting is achieved by rotating half- and quarter- wave plates and the resultant interference patterns are captured by a $3272{\times}2469$ pixel CCD camera with $27{\mu}m{\times}27{\mu}m$ pixel size.