Feasibility study for pseudoscopic problem in integral imaging using negative refractive index materials

Zhang, Jianlei; Wang, Xiaorui; Chen, Yujiao; Zhang, Qiping; Yu, Shuo; Yuan, Ying; Bingtao, Guo

doi:10.1364/oe.22.020757

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…In 2008, Shin et al [12] proposed a computational integral imaging reconstruction (CIIR) method based on the SPM algorithm, which can effectively improve the resolution of the reconstructed plane images. In 2014, Zhang et al [13] used negative refractive index materials to achieve one-step InI and avoided the problem of resolution reduction inherent to the optical or digital two-step methods. In 2015, Yu et al [14] eliminated the artifact problem by obtaining precise depth information and achieved smooth motion parallax.…”

Section: Introductionmentioning

confidence: 99%

Improved Smart Pseudoscopic-to-Orthoscopic Conversion Algorithm for Integral Imaging With Pixel Information Averaging

Mao¹,

Wang²,

Jiang³

et al. 2021

Front. Phys.

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The smart pseudoscopic-to-orthoscopic conversion (SPOC) algorithm can synthesize a new elemental image array (EIA) using the already captured EIA, but the algorithm only relies on one simulated ray to establish the mapping relationship between the display pixels and the synthetic pixels. This paper improves the SPOC algorithm and proposes the average SPOC algorithm, which fully considers the converging effect of the synthetic lens on the ray. In the average SPOC algorithm, the simulated rays start from the synthetic pixel, pass through the upper and lower edges of the corresponding synthetic lens, and intersect the display lenses, respectively. Then, the value of the synthetic pixel is equivalent to the average value of display pixels, which correspond to the display lenses covered by the rays. Theoretical analysis points out that the average SPOC algorithm can effectively alleviate the matching error between the display pixels and the synthetic pixels, thereby improving the accuracy of the synthetic elemental image array (SEIA) and the reconstruction effect. According to the experimental results we get, the superiority of the average SPOC algorithm is verified.

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Section: Introductionmentioning

confidence: 99%

Improved Smart Pseudoscopic-to-Orthoscopic Conversion Algorithm for Integral Imaging With Pixel Information Averaging

Mao¹,

Wang²,

Jiang³

et al. 2021

Front. Phys.

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“…In the pickup process, a two-dimensional elemental image array, which contains different perspectives and different depth cues of the 3D object, is captured through a micro-lens array. In the reconstruction process, the recorded elemental image array is reconstructed through an identical micro-lens array to form lifelike 3D images of the original 3D object [14][15][16][17][18][19][20]. Manuscript One of the major drawbacks of the II system is the limited depth-of-field (DOF), and it is believed that such limitation is imposed by the numerical aperture of the micro-lenses [21].…”

Section: Introductionmentioning

confidence: 99%

Integral Imaging Pickup Method With Extended Depth-of-Field by Gradient-Amplitude Modulation

Luo

Deng

et al. 2016

J. Display Technol.

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One of the major drawbacks of the three-dimensional (3D) integral imaging (II) is the limited depth-of-field (DOF). One approach to enhance the DOF is applying the amplitude-modulating method on the micro-lens arrays. However, the conventional amplitude-modulating methods usually suffer some collateral effects such as lateral resolution reductions or contrast reversals. In this paper, we propose a gradient-amplitude-modulating (GAM) method to enhance the DOF of the II pickup system when recording large-depth 3D scenes. This method is practical and not accompanied by any obvious lateral resolution deteriorations or contrast reversals. Experimental results obtained from the optical pickup process and computational reconstruction process finally demonstrate the feasibility of the proposed method.Index Terms-Integral imaging, three-dimensional (3D) acquisition, 3D image display, depth-of-field (DOF), 3D image reconstruction.

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“…1 Unlike stereoscopic 3-D display or holography, [2][3][4][5][6] integral imaging can provide full-parallax and continuous-viewing 3-D images without using any special glasses or coherent light. [7][8][9][10][11] An integral-imaging system utilizes a microlens array (MLA) to pick up and reconstruct lifelike true 3-D images. One of the main problems in integral imaging is its limited depth-of-field (DOF); many researchers have proposed some useful methods to improve this.…”

Section: Introductionmentioning

confidence: 99%

Extended depth-of-field in integral-imaging pickup process based on amplitude-modulated sensor arrays

Luo¹,

Wang²,

Deng³

et al. 2015

Opt. Eng

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Abstract. We implement a depth-of-field (DOF) extending pickup experiment of integral imaging based on amplitude-modulated sensor arrays (SAs). By implementing the amplitude-modulating technique on the SA in the optical pickup process, we can modulate the light intensity distribution in the imaging space. Therefore, the central maximum of the Airy pattern becomes narrower and the DOF is enlarged. The experimental results obtained from the optical pickup process and the computational reconstruction process demonstrate the effectiveness of the DOF extending method. We present that the DOF extending pickup method is more suitable for enhancing the DOF of three-dimensional scenes with small depth ranges. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Feasibility study for pseudoscopic problem in integral imaging using negative refractive index materials

Cited by 7 publications

References 29 publications

Improved Smart Pseudoscopic-to-Orthoscopic Conversion Algorithm for Integral Imaging With Pixel Information Averaging

Improved Smart Pseudoscopic-to-Orthoscopic Conversion Algorithm for Integral Imaging With Pixel Information Averaging

Integral Imaging Pickup Method With Extended Depth-of-Field by Gradient-Amplitude Modulation

Extended depth-of-field in integral-imaging pickup process based on amplitude-modulated sensor arrays

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