Artificial Intelligence, Computer Vision and 3D Display

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 14 August 2025 | Viewed by 1692

Special Issue Editors

College of Information Engineering, Yangzhou University, Yangzhou 225127, China
Interests: 3D display; computer-generated holography; three-dimensional image processing
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Guest Editor
Institute of Optoelectronics, West Lake University, Hangzhou 310024, China
Interests: holography; CGH; integral imaging

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Guest Editor
School of Information and Communications Engineering, Chungbuk National University, Cheongju-si 28644, Republic of Korea
Interests: holographic optical element; full-color holography; holographic display

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Guest Editor
College of Information Engineering, Yangzhou University, Yangzhou 225127, China
Interests: AI; optical signal processing

Special Issue Information

Dear Colleagues,

Artificial Intelligence (AI), a pivotal field within computer science, endeavors to empower computers to mimic and interpret human thought processes and decision-making, thereby tackling intricate tasks and problems. In recent decades, AI has witnessed remarkable advancements, with Computer Vision and 3D Vision, two crucial branches, playing pivotal roles in enabling machines to comprehend the visual world. Computer Vision, an essential component of AI, involves equipping computers with the capability to comprehend and interpret image and video data. Leveraging machine learning and deep learning techniques, Computer Vision can automate tasks such as image classification, object detection, and face recognition and even surpass human capabilities in some aspects. Meanwhile, 3D Display, as an extension of Computer Vision, further extends its technologies into the realm of three-dimensional space, enabling computers to delve deeper into understanding and perceiving the real world, offering users a more immersive and intelligent experience.

As AI technology evolves, numerous open questions remain ripe for deeper exploration in this domain. Research that integrates advanced technologies like AI, Computer Vision, and 3D Display holds immense potential to revolutionize our world.

This Special Issue focuses on the latest research achievements in areas including but not limited to 3D Display, Computational Imaging, Computer Vision, Image Processing, Holographic Display, and AI-driven Image Algorithms. It brings together top researchers and developers from academia and industry to showcase their novel findings in Computer Vision, 3D Display, and their applications. The submitted papers will be peer-reviewed and will be selected based on their quality and relevance to the main themes of this Special Issue.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

(1) 3D imaging;

(2) Computer Vision;

(3) Holography;

(4) 3D display;

(5) Image encryption;

(6) Computer generated holography;

(7) Computational imaging with deep learning

(8) Holographic Optical Element;

(9) Full-color holography;

(10) Holographic display.

We look forward to receiving insightful contributions.

Dr. Yu Zhao
Dr. Yan-Ling Piao
Dr. Hui-Ying Wu
Dr. Xiang Yin
Guest Editors

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Keywords

  • 3D imaging
  • computer vision
  • holography
  • 3D display
  • image encryption
  • computer generated holography
  • computational imaging with deep learning
  • holographic optical element
  • full-color holography
  • holographic display

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Published Papers (2 papers)

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13 pages, 3824 KiB  
Article
Multiple-Particle Autofocusing Algorithm Using Axial Resolution and Morphological Analyses Based on Digital Holography
by Wei-Na Li, Yi Zhou, Jiatai Chen, Hongjie Ou and Xiangsheng Xie
Electronics 2025, 14(9), 1789; https://doi.org/10.3390/electronics14091789 - 28 Apr 2025
Viewed by 138
Abstract
We propose an autofocusing algorithm to obtain, relatively accurately, the 3D position of each particle, particularly its axial location, and particle number of a dense transparent particle solution via its hologram. First, morphological analyses and constrained intensity are used on raw reconstructed images [...] Read more.
We propose an autofocusing algorithm to obtain, relatively accurately, the 3D position of each particle, particularly its axial location, and particle number of a dense transparent particle solution via its hologram. First, morphological analyses and constrained intensity are used on raw reconstructed images to obtain information on candidate focused particles. Second, axial resolution is used to obtain the real focused particles. Based on the mean intensity and equivalent diameter of each candidate focused particle, all focused particles are eventually secured. Our proposed method can rapidly provide relatively accurate ground-truth axial positions to solve the autofocusing problem that occurs with dense particles. Full article
(This article belongs to the Special Issue Artificial Intelligence, Computer Vision and 3D Display)
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10 pages, 2311 KiB  
Article
Design and Optimization of High Performance Multi-Step Separated Trench 4H-SiC JBS Diode
by Jinlan Li, Ziheng Wu, Huaren Sheng, Yan Xu and Liming Zhou
Electronics 2024, 13(21), 4143; https://doi.org/10.3390/electronics13214143 - 22 Oct 2024
Viewed by 1186
Abstract
In this paper, a novel 3300 V/40 A 4H-SiC junction barrier Schottky diode (JBS) with a multi-step separated trench (MST) structure is proposed and thoroughly investigated using TCAD simulations. The results show that the introduction of MST expands the Schottky contact area, resulting [...] Read more.
In this paper, a novel 3300 V/40 A 4H-SiC junction barrier Schottky diode (JBS) with a multi-step separated trench (MST) structure is proposed and thoroughly investigated using TCAD simulations. The results show that the introduction of MST expands the Schottky contact area, resulting in a decrease in the forward voltage drop. Furthermore, the combination of the deep P+ shielded region and the central P+ region effectively reduces the leakage current, leading to a 43.7% increase in the blocking voltage compared to conventional 4H-SiC JBS. The effects of the step depth (ds) and the width of the central P+ region (wm) on the device performance are analyzed in depth. In addition, a multi-step trenched linearly graded field-limiting rings (MTLG-FLR) termination ensures a more uniform electric field distribution, and the terminal protection efficiency reaches up to 90%, which further enhances the reliability of the terminal structure. Full article
(This article belongs to the Special Issue Artificial Intelligence, Computer Vision and 3D Display)
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