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Photonics
Special Issues
Optical Imaging Innovations and Applications
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Optical Imaging Innovations and Applications

A special issue of Photonics (ISSN 2304-6732).

Deadline for manuscript submissions: 1 February 2025 | Viewed by 3158

Special Issue Editors

Prof. Dr. Jianying Zhou

E-Mail Website
Guest Editor
State Key Laboratory of Optoelectronic Materials and Technology, School of Physics, Sun Yat-sen University, Guangzhou, China
Interests: optical imaging; optical information storage; directionally illuminated autostereoscopy; multi-dimensional light field regulation and imaging technology research
Prof. Dr. Joseph Rosen

E-Mail Website
Guest Editor
School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.Box 653, Beer-Sheva 8410501, Israel
Interests: digital holography; holographic imaging; diffractive optics; biomedical optics; optical microscopy; image processing; optical interferometry; statistical optics; optical computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to provide a novel optical imaging platform for updated optical image innovations and applications. Recent advancements have witnessed rapid progress in direct optical imaging and indirect optical imaging, which is the main theme of the present Special Issue. Coded aperture imaging, synthesized optical aperture imaging, interference, interferenceless or correlation imaging, computational imaging, holographic imaging, bio-inspired imaging, three-dimensional imaging, and quantum and ghost imaging are among the relevant topics of this Special Issue as well. Artificial Intelligence is an important tool for optical imaging and is a popular research theme in this area of study. Studies on conventional super-resolution imaging, including STED, PALM, STORM, and near-field imaging, may be considered, though we specifically encourage papers in the field of super-resolution imaging with large distances, in remote sensing and for astronomy. Special attention will be given to papers with synthesized apertures to break the imaging resolution limit. We encourage the submission of papers on the topic of novel and emerging new imaging technologies. The application of the innovative imaging technique is active and diverse, and the manuscript contributions in the field of nanoscopic and astronomic scales are also encouraged. Special attention should be given to papers on optical imaging for practical and real-world applications.

Prof. Dr. Jianying Zhou
Prof. Dr. Joseph Rosen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Photonics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical imaging
  • imaging systems
  • holographic imaging
  • optical microscopy
  • coded aperture imaging
  • digital holography
  • fiber optics imaging
  • coherence imaging
  • coherent and incoherent imaging
  • speckle imaging

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Published Papers (5 papers)

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12 pages, 16440 KiB  
Communication
Resolution Enhancement of Geometric Phase Self-Interference Incoherent Digital Holography Using Synthetic Aperture
by Youngrok Kim, KiHong Choi, Keehoon Hong and Sung-Wook Min
Photonics 2024, 11(12), 1170; https://doi.org/10.3390/photonics11121170 - 12 Dec 2024
Viewed by 292
Abstract
Incoherent digital holography is a promising solution for acquiring three-dimensional information in the form of interference without a laser. Self-interference is the principal phenomenon of incoherent holography which splits the incident light wave into two waves and interferes with each one. The characteristics [...] Read more.
Incoherent digital holography is a promising solution for acquiring three-dimensional information in the form of interference without a laser. Self-interference is the principal phenomenon of incoherent holography which splits the incident light wave into two waves and interferes with each one. The characteristics of incoherent holograms are defined by the optical configuration of wavefront dividing units. In this paper, we propose the synthetic aperture method to achieve super-resolution of geometric phase lens-based self-interference incoherent digital holography. We analyze the resolution of incoherent holograms acquired from geometric phase lenses and experimentally demonstrate the resolution enhancement via the synthetic-aperture method. Moreover, the sparse synthetic-aperture method is proposed to ensure effective data capturing and the numerical optimization method is also proposed to fill the gap between the empty space of sparsely acquired holograms. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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14 pages, 9197 KiB  
Article
Real-Time Observations of Leaf Vitality Extinction by Dynamic Speckle Imaging
by Elise Colin, Enrique Garcia-Caurel, Karine Adeline, Aurélien Plyer and Xavier Orlik
Photonics 2024, 11(11), 1086; https://doi.org/10.3390/photonics11111086 - 19 Nov 2024
Viewed by 550
Abstract
Sap flow within a leaf is a critical indicator of plant vitality and health. This paper introduces an easy-to-use, non-invasive and real-time imaging method for sap microcirculation imaging. From the coherent backscattering of light on a leaf, we show that the acquisition frequency [...] Read more.
Sap flow within a leaf is a critical indicator of plant vitality and health. This paper introduces an easy-to-use, non-invasive and real-time imaging method for sap microcirculation imaging. From the coherent backscattering of light on a leaf, we show that the acquisition frequency of dynamic speckle can be linked to the microcirculation speed inside the leaf. Unlike conventional methods based on speckle contrast, which use integration times long enough to observe temporal decorrelation within a single image, our approach operates in a regime where speckle patterns appear ‘frozen’ in each frame of a given sequence. This ‘frozen’ state implies that any decorrelation of the speckle pattern within a frame is negligible. However, between successive frames, decorrelation becomes substantial, and it is this inter-frame decorrelation that enables the extraction of dynamic information. In this context, the integration time primarily influences the radiometric levels, while the frame acquisition rate emerges as the key parameter for generating activity index maps. Thus, by accessing different ranges of sap flow activity levels by varying the frame acquisition rate, we reveal, in a non-invasive way, the anatomy of the leaf’s circulatory network with unprecedented richness. We experimentally validate the ability of the method to characterize the vitality of a fig leaf in real time by observing the continuous decrease in sap circulation, first in the smaller vessels and then in the larger ones, following the cutting of the leaf over a 48 h period. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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8 pages, 3598 KiB  
Article
Camouflage Breaking with Stereo-Vision-Assisted Imaging
by Han Yao, Libang Chen, Jinyan Lin, Yikun Liu and Jianying Zhou
Photonics 2024, 11(10), 970; https://doi.org/10.3390/photonics11100970 - 16 Oct 2024
Viewed by 646
Abstract
Camouflage is a natural or artificial process that prevents an object from being detected, while camouflage breaking is a countering process for the identification of the concealed object. We report that a perfectly camouflaged object can be retrieved from the background and detected [...] Read more.
Camouflage is a natural or artificial process that prevents an object from being detected, while camouflage breaking is a countering process for the identification of the concealed object. We report that a perfectly camouflaged object can be retrieved from the background and detected with stereo-vision-assisted three-dimensional (3D) imaging. The analysis is based on a binocular neuron energy model applied to general 3D settings. We show that a perfectly concealed object with background interference can be retrieved with vision stereoacuity to resolve the hidden structures. The theoretical analysis is further tested and demonstrated with distant natural images taken by a drone camera, processed with a computer and displayed using autostereoscopy. The recovered imaging is presented with the removal of background interference to demonstrate the general applicability for camouflage breaking with stereo imaging and sensing. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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9 pages, 2730 KiB  
Communication
Target Recognition Based on Singular Value Decomposition in a Single-Pixel Non-Imaging System
by Lin-Shan Chen, Yi-Ning Zhao, Cheng Ren, Chong Wang and De-Zhong Cao
Photonics 2024, 11(10), 909; https://doi.org/10.3390/photonics11100909 - 27 Sep 2024
Viewed by 705
Abstract
We propose a single-pixel non-imaging target recognition scheme which that exploits the singular values of target objects. By choosing the first few singular values and the corresponding unitary matrices in the singular value decomposition of all the targets, we form the measurement matrices [...] Read more.
We propose a single-pixel non-imaging target recognition scheme which that exploits the singular values of target objects. By choosing the first few singular values and the corresponding unitary matrices in the singular value decomposition of all the targets, we form the measurement matrices to be projected onto the target in a single-pixel non-imaging scheme. One can quickly and accurately recognize the target images after directly recording the single-pixel signals. From the simulation and experimental results, we found that the accuracy of target recognition was high when the first three singular values were used. The efficiency of target recognition was improved by randomly rearranging the orders of the row vectors in the measurement matrix. Therefore, our research results offer a novel perspective for recognizing non-imaging targets. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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15 pages, 10080 KiB  
Tutorial
Spatial Ensemble Mapping for Coded Aperture Imaging—A Tutorial
by Narmada Joshi, Agnes Pristy Ignatius Xavier, Shivasubramanian Gopinath, Vipin Tiwari and Vijayakumar Anand
Photonics 2024, 11(12), 1174; https://doi.org/10.3390/photonics11121174 - 13 Dec 2024
Viewed by 395
Abstract
Coded aperture imaging (CAI) is a well-established computational imaging technique consisting of two steps, namely the optical recording of an object using a coded mask, followed by a computational reconstruction using a computational algorithm using a pre-recorded point spread function (PSF). In this [...] Read more.
Coded aperture imaging (CAI) is a well-established computational imaging technique consisting of two steps, namely the optical recording of an object using a coded mask, followed by a computational reconstruction using a computational algorithm using a pre-recorded point spread function (PSF). In this tutorial, we introduce a simple yet elegant technique called spatial ensemble mapping (SEM) for CAI that allows us to tune the axial resolution post-recording from a single camera shot recorded using an image sensor. The theory, simulation studies, and proof-of-concept experimental studies of SEM-CAI are presented. We believe that the developed approach will benefit microscopy, holography, and smartphone imaging systems. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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