Photoelectric Intelligent Perception: From Materials and Imaging Mechanisms to Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 5472

Special Issue Editors

School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Interests: bio-inspired vision; lidar; ghost imaging
Special Issues, Collections and Topics in MDPI journals
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Interests: optical coherence tomography; intraoperative imaging; microsurgery guidance and evaluation; smart surgical tools; deep learning

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Guest Editor
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Interests: ultrasonic/photoacoustic/photothermal imaging; ultrasonic transducers; photothermal transducers; biomimetic acoustic sensors; micromachining; metamaterials; optical camouflage; stealth

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Guest Editor
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Interests: fluorescent materials; semiconductor; display; detector
Special Issues, Collections and Topics in MDPI journals
School of Optics and Photonics, Beijing Institute of Technology, Beijing, China
Interests: bionic imaging; liquid lens; soft actuators; compound eye
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of optical imaging, many kinds of intelligent perception techniques including advanced materials, 2D/3D imaging mechanisms, and related algorithms have been studied. Some techniques have been widely used in robotic vision, UAV, intelligent monitoring, biomedical engineering. However, there are still some drawbacks to be overcome before these will be suitable for practical use. The goal of this Special Issue is to focus on novel theory and techniques for imaging mechanisms, optical materials, and algorithms which can be used to improve the performance of photoelectric intelligent perception.

The field includes the following:

  • Novel imaging mechanisms in 2D and 3D, such as ghost imaging , Lidar, bio-inspired vision, etc.;
  • Improvements in optical materials and elements, including near-infrared detectors, liquid lenses, etc.;
  • Biomedical imaging and applications, such as optical coherence tomography and image-guided interventions for microsurgery;
  • Ultrasonic/photoacoustic/photothermal imaging, ultrasonic transducers, photothermal transducers, biomimetic acoustic sensors, and micromachining;
  • Optical camouflage, stealth, and metamaterials;
  • Intelligent learning approaches, including neural networks (NNs), especially the recently proposed light-weight NNs (Li-NNs) and neural dynamic learning networks.

Dr. Jie Cao
Dr. Yong Huang
Dr. Jinying Zhang
Dr. Bingkun Chen
Dr. Yang Cheng
Guest Editors

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Keywords

  • novel imaging
  • biomimetic
  • OCT
  • NIR
  • detecting material
  • ultrasonic
  • photoacoustic
  • deep learning
  • target tracking
  • recognition

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Published Papers (3 papers)

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Research

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14 pages, 4139 KiB  
Article
A Hybrid Variable-Resolution GI without Prior Information
by Bin Han, Dong Zhou, Moudan Shi, Jie Cao and Qun Hao
Electronics 2024, 13(3), 595; https://doi.org/10.3390/electronics13030595 - 31 Jan 2024
Viewed by 812
Abstract
Ghost imaging (GI) is a novel imaging technique which realizes the fluctuation of the target light field through pattern modulation and obtains the target information in a non-local area. Compared with traditional imaging, GI has the advantages of a simple structure, strong anti-interference [...] Read more.
Ghost imaging (GI) is a novel imaging technique which realizes the fluctuation of the target light field through pattern modulation and obtains the target information in a non-local area. Compared with traditional imaging, GI has the advantages of a simple structure, strong anti-interference ability and imaging resolution beyond the diffraction limit. Illumination patterns are very important for GI, and they are divided into uniform resolution patterns and variable-resolution patterns. The variable-resolution patterns have the characteristics of high resolution in the foveal region and low resolution in the edge region, which can quickly improve the imaging efficiency of the foveal region. But there are still mass mutations and the inability to adapt imaging. Therefore, we propose a hybrid non-resolution-pattern design method and a two-step projection strategy. Simulations and experiments show that the proposed two-step projection strategy can accurately establish the corresponding relationship between the foveal region and the region of interest. The hybrid variable-resolution pattern design method can solve the problem of mass mutation between the foveal region and the edge region of fixed foveal patterns. Full article
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13 pages, 3799 KiB  
Article
A Single-Pixel High-Precision Imaging Technique Based on a Discrete Zernike Transform for High-Efficiency Image Reconstructions
by Shiyu Zhang, Kai Lin, Hongsong Li and Lu Lu
Electronics 2023, 12(3), 530; https://doi.org/10.3390/electronics12030530 - 19 Jan 2023
Viewed by 1681
Abstract
Single-pixel imaging (SPI) has attracted increasing attention in recent years because of its advantages in imaging systems. However, a low reconstruction quality and a long reconstruction time have hindered the development of SPI. Hence, in this study, we propose a Zernike SPI (ZSPI) [...] Read more.
Single-pixel imaging (SPI) has attracted increasing attention in recent years because of its advantages in imaging systems. However, a low reconstruction quality and a long reconstruction time have hindered the development of SPI. Hence, in this study, we propose a Zernike SPI (ZSPI) technique to reduce the number of illumination patterns and reconstruction time whilst retaining robustness. First, the ZSPI technique was theoretically demonstrated. Phase-shifting Zernike moment projections were used to illuminate the target and an inverse Zernike transform was used to reconstruct the desired image. In order to prove the feasibility, numerical simulations were carried out with different sample ratios (SRs) ranging from 0.1 to 0.3; an acceptable reconstruction appeared at approximately 0.1. This result indicated that ZSPI could obtain satisfactory reconstruction results at low SRs. Further simulation and physical experiments were compared with different reconstruction algorithms, including noniterative, linear iterative, and nonlinear iterative methods under speckle modulation patterns at a sample of 0.1 in terms of different targets. The results revealed that ZSPI had a higher imaging quality and required less imaging time, particularly for low-frequency targets. The method presented in this study has advantages for the high-efficiency imaging of low-frequency targets, which can provide a new solution for the SPI method. Full article
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Review

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34 pages, 16556 KiB  
Review
The Development of Snapshot Multispectral Imaging Technology Based on Artificial Compound Eyes
by Qun Hao, Yanfeng Song, Jie Cao, Hao Liu, Qianghui Liu, Jie Li, Qiang Luo, Yang Cheng, Huan Cui and Lin Liu
Electronics 2023, 12(4), 812; https://doi.org/10.3390/electronics12040812 - 6 Feb 2023
Cited by 3 | Viewed by 2434
Abstract
In the present study, the advantages of multispectral imaging over hyperspectral imaging in real-time spectral imaging are briefly analyzed, and the advantages and disadvantages of snapshot spectral imaging and other spectral imaging technologies are briefly described. The technical characteristics of artificial compound eyes [...] Read more.
In the present study, the advantages of multispectral imaging over hyperspectral imaging in real-time spectral imaging are briefly analyzed, and the advantages and disadvantages of snapshot spectral imaging and other spectral imaging technologies are briefly described. The technical characteristics of artificial compound eyes and multi-aperture imaging and the research significance of snapshot artificial compound eye multispectral imaging are also introduced. The classification and working principle of the snapshot artificial compound eye multispectral imaging system are briefly described. According to the realization method of the optical imaging system, the ACE snapshot multi-aperture multispectral imaging system is divided into plane and curved types. In the planar compound eye spectral imaging system, the technical progress of the multispectral imaging system based on the thin observation module by bound optics (TOMBO) architecture and the multispectral imaging system based on the linear variable spectral filter are introduced. At the same time, three curved multispectral imaging systems are introduced. Snapshot artificial compound eye multispectral imaging technology is also briefly analyzed and compared. The research results are helpful to comprehensively understand the research status of snapshot multispectral multi-aperture imaging technology based on artificial compound eyes and to lay the foundation for improving its comprehensive performance even further. Full article
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