Analysis of the depth of field of integral imaging displays based on wave optics

Luo, Chenggao; Xiao, Xiao; Martı́nez-Corral, Manuel; Chen, Chih‐Wei; Javidi, Bahram; Wang, Qiong‐Hua

doi:10.1364/oe.21.031263

Cited by 69 publications

(29 citation statements)

References 41 publications

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“…21 The size of the critical tolerable pattern is given by the combination of the least distance of distinct vision of a normal eye (about 250.0 mm) 22 and the minimum angular resolution of human eyes (about 2.9 × 10 −4 rad), 17 and the tolerable pattern diameter is obtained as 72.5 μm (blue line shown in Fig. 2).…”

Section: Intensity Distribution In Integral-imagingmentioning

confidence: 98%

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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Section: Intensity Distribution In Integral-imagingmentioning

confidence: 98%

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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“…In comparison, real‐image type LFDs usually suffer from highly limited DOF caused by the defocusing . As discussed before, this just comes from the fact that the defocusing in NE‐LFDs can be neutralized by the viewing distance whereas that in the real‐image systems cannot be.…”

Section: Analysis Of Ne‐lfdsmentioning

confidence: 99%

“…Therefore, an accurate model of the image formation in NE‐LFDs is desired so that the visual resolution can be quantitatively analyzed for different hardware parameters and algorithms, and effective design optimizations can be thereby performed. To address a similar problem, a number of studies have modeled the image formation in InIm‐based LFDs that generate real images, which share the similar image formation principle with the NE‐LFDs that generate virtual images . For example, Luo et al used Fresnel diffraction theory to construct an image formation model incorporating diffraction and defocusing, based on which, DOFs corresponding to different hardware configurations were derived.…”

Section: Introductionmentioning

confidence: 99%

Image formation modeling and analysis of near‐eye light field displays

Qin

Chou

et al. 2019

J Soc Info Display

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Near‐eye light field displays based on integral imaging through a microlens array provide attractive features like ultra‐compact volume and freedom of the vergence‐accommodation conflict to head‐mounted displays with virtual or augmented reality functions. To enable optimal design and analysis of such systems, it is desirable to have a physical model that incorporates all factors that affect the image formation, including diffraction, aberration, defocusing, and pixel size. Therefore, in this study, using the fundamental Huygens‐Fresnel principle and the Arizona eye model with adjustable accommodation, we develop an image formation model that can numerically calculate the retinal light field image with near‐perfect accuracy, and experimentally verify it with a prototype system. Next, based on this model, the visual resolution is analyzed for different field of views (FOVs). As a result, a rapid resolution decay with respect to FOV caused by off‐axis aberration is demonstrated. Finally, resolution variations as a function of image depth are analyzed based on systems with different central depth planes. Significantly, the resolution decay is revealed to plateau when the image depth is large enough, which is different from real‐image type light field displays.

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“…Compared to other 3D display technologies, II can provide autostereoscopic images from continuous viewpoints and does not require any special glasses or coherent light [8][9][10][11][12][13]]. An II system is composed of two basic steps, pickup and reconstruction.…”

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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Analysis of the depth of field of integral imaging displays based on wave optics

Cited by 69 publications

References 41 publications

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

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

Image formation modeling and analysis of near‐eye light field displays

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

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