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Holography and 3D Imaging: Tomorrows Ultimate Experience

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A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: closed (31 December 2017) | Viewed by 35175

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Special Issue Editor

Prof. Dr. Martin Richardson

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Guest Editor

Imaging & Display Research Group, Faculty of Technology, Leicester Media School, De Montfort University, The Gateway, Leicester LE1 9BH, UK
Interests: holography; hologram; wavefront reconstruction; security holograms; three-dimensional imaging; lenticular imaging; spatial imaging; holographic imaging; photonics

Special Issue Information

Dear Colleagues,

Today, holograms are standard security issue on bankcards and bank notes, event tickets, postage stamps and passports; aimed specifically to halt counterfeiting. They are a typical component in the validation of safety critical items, such as medicines and machine parts, and therefore save lives. The list of applications of holography will increase in length as a growing number of five-star research labs in Universities and Technical companies, including Microsoft, find new applications for these amazing devices. Researchers are developing new types of holograms with the long-term aim of progressing the medium beyond its ability to simply capture and replay three-dimensional images, pursuing their general ability to diffract and manipulate light. Extensive technical documentation concerning holography has established it as an exciting, emerging medium. However, its potential still remains relatively untapped. In this Special Issue of Applied Sciences we explore some new major developments that point the way for unique collaboration between creative computing and synthetic holograms within numerous applications including the arts, entertainment, games, mobile applications, multimedia, web design and other pervasive interactive systems.

Prof. Dr. Martin Richardson
Guest Editor

Manuscript Submission Information

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Keywords

Holograms;
Three Dimensional;
Lenticular;
Stereo Imaging;
Spatial Imaging

Published Papers (5 papers)

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Research

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7940 KiB

Open AccessArticle

Fast Method of Recovering Reference-Wave Intensity in Two-Step-Only Quadrature Phase-Shifting Holography

by Wen-Jing Zhou, Caifu Zheng and Ting-Chung Poon

Appl. Sci. 2017, 7(10), 1084; https://0-doi-org.brum.beds.ac.uk/10.3390/app7101084 - 19 Oct 2017

Cited by 1 | Viewed by 3687

Abstract

We present a simple yet effective method, without the need for any additional recording of intensity maps or tremendous iterative computations, to recover reference-wave intensity resulting from the complex hologram acquired by quadrature phase-shifting holography. This is achieved by utilizing a certain area of interest in the complex hologram. We select a particular area in the complex hologram where there is negligible diffraction from the test sample to estimate the reference-wave intensity. The calculated intensity value allows us to extract exact phase distribution of the object in the context of two-step-only quadrature phase-shifting holography (TSO-PSH) without the zeroth-order beam and the twin image noise on the reconstruction plane. Computer simulation and experimental results have been performed to verify the effectiveness and feasibility of our proposed method. Full article

(This article belongs to the Special Issue Holography and 3D Imaging: Tomorrows Ultimate Experience)

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4463 KiB

Open AccessArticle

Stereoscopic Image Super-Resolution Method with View Incorporation and Convolutional Neural Networks

by Zhiyong Pan, Gangyi Jiang, Hao Jiang, Mei Yu, Fen Chen and Qingbo Zhang

Appl. Sci. 2017, 7(6), 526; https://0-doi-org.brum.beds.ac.uk/10.3390/app7060526 - 26 May 2017

Cited by 3 | Viewed by 4834

Abstract

Super-resolution (SR) plays an important role in the processing and display of mixed-resolution (MR) stereoscopic images. Therefore, a stereoscopic image SR method based on view incorporation and convolutional neural networks (CNN) is proposed. For a given MR stereoscopic image, the left view of which is observed in full resolution, while the right view is viewed in low resolution, the SR method is implemented in two stages. In the first stage, a view difference image is defined to represent the correlation between views. It is estimated by using the full-resolution left view and the interpolated right view as input to the modified CNN. Accordingly, a high-precision view difference image is obtained. In the second stage, to incorporate the estimated right view in the first stage, a global reconstruction constraint is presented to make the estimated right view consistent with the low-resolution right view in terms of the MR stereoscopic image observation model. Experimental results demonstrated that, compared with the SR convolutional neural network (SRCNN) method and depth map based SR method, the proposed method improved the reconstructed right view quality by 0.54 dB and 1.14 dB, respectively, in the Peak Signal to Noise Ratio (PSNR), and subjective evaluation also implied that the proposed method produced better reconstructed stereoscopic images. Full article

(This article belongs to the Special Issue Holography and 3D Imaging: Tomorrows Ultimate Experience)

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28908 KiB

Open AccessArticle

Artwork Identification for 360-Degree Panoramic Images Using Polyhedron-Based Rectilinear Projection and Keypoint Shapes

by Xun Jin and Jongweon Kim

Appl. Sci. 2017, 7(5), 528; https://0-doi-org.brum.beds.ac.uk/10.3390/app7050528 - 19 May 2017

Cited by 6 | Viewed by 7182

Abstract

With the increased development of 360-degree production technologies, artwork has recently been photographed without authorization. To prevent this infringement, we propose an artwork identification methodology for 360-degree images. We transform the 360-degree image into a three-dimensional sphere and wrap it with a polyhedron. On the sphere, several points are located on the polyhedron to determine the width, height, and direction of the rectilinear projection. The 360-degree image is divided and transformed into several rectilinear projected images to reduce the adverse effects from the distorted panoramic image. We also propose a method for improving the identification precision of artwork located at a highly distorted position using the difference of keypoint shapes. After applying the proposed methods, identification precision is increased by 45% for artwork that is displayed on a 79-inch monitor in a seriously distorted position with features that were generated by scale-invariant feature transformations. Full article

(This article belongs to the Special Issue Holography and 3D Imaging: Tomorrows Ultimate Experience)

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Review

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21 pages, 2643 KiB

Open AccessReview

Recent Progress on Aberration Compensation and Coherent Noise Suppression in Digital Holography

by Yun Liu, Zhao Wang and Junhui Huang

Appl. Sci. 2018, 8(3), 444; https://0-doi-org.brum.beds.ac.uk/10.3390/app8030444 - 15 Mar 2018

Cited by 27 | Viewed by 5172

Abstract

Digital holographic microscopy (DHM) is a topographic measurement technique that permits full-field, nondestructive, dynamic, quantitative amplitude, and phase-contrast imaging. The technique may realize the lateral resolution with submicron scale and the longitudinal resolution with subnanometer scale, respectively. Improving imaging quality has always been the research focus in DHM since it has a direct effect on the precise topographic measurement. In this paper, the recent progress on phase aberration compensation and coherent noise suppression is reviewed. Included in this review are the hologram spectrum’s centering judgment methods of side band in tilt phase error compensation, the physical and numerical compensation methods in phase aberration compensation, and the single-shot digital process methods in coherent noise suppression. The summaries and analyses for these approaches can contribute to improving the imaging quality and reducing the measurement error of DHM, which will further promote the wider applications of DHM in the topographic measurement fields, such as biology and micro-electro mechanical systems. Full article

(This article belongs to the Special Issue Holography and 3D Imaging: Tomorrows Ultimate Experience)

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18 pages, 4426 KiB

Open AccessFeature PaperReview

Incoherent Digital Holography: A Review

by Jung-Ping Liu, Tatsuki Tahara, Yoshio Hayasaki and Ting-Chung Poon

Appl. Sci. 2018, 8(1), 143; https://0-doi-org.brum.beds.ac.uk/10.3390/app8010143 - 20 Jan 2018

Cited by 98 | Viewed by 13752

Abstract

Digital holography (DH) is a promising technique for modern three-dimensional (3D) imaging. Coherent holography records the complex amplitude of a 3D object holographically, giving speckle noise upon reconstruction and presenting a serious drawback inherent in coherent optical systems. On the other hand, incoherent holography records the intensity distribution of the object, allowing a higher signal-to-noise ratio as compared to its coherent counterpart. Currently there are two incoherent digital holographic techniques: optical scanning holography (OSH) and Fresnel incoherent correlation holography (FINCH). In this review, we first explain the principles of OSH and FINCH. We then compare, to some extent, the differences between OSH and FINCH. Finally, some of the recent applications of the two incoherent holographic techniques are reviewed. Full article

(This article belongs to the Special Issue Holography and 3D Imaging: Tomorrows Ultimate Experience)

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