Diffractive Optics – Current Trends and Future Advances

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

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 2977

Special Issue Editors


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Guest Editor
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK
Interests: adaptive optics; diffractive optics; microscopy; computer generated holography; wavefront sensors; retinal imaging and image processing

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Guest Editor
Associate Professor, CREOL The College of Optics & Photonics, University of Central Florida, 4304 Scorpius Street, Orlando, FL 32816-2700, USA
Interests: holographic optical elements; diffractive optics; wavefront shaping; laser development; AR/VR displays

Special Issue Information

Dear Colleagues,

Diffractive optics manipulates light using diffraction patterns, unlike traditional optical elements which use refractive surfaces. It relies on the principles of diffraction to shape and direct light. Diffractive optical elements (DOEs) are typically designed to manipulate the phase of light as it passes through the element to produce the desired optical effect. They enable the design of compact and lightweight optical components that can perform the same function as their refractive counterparts. DOEs also offer a high degree of flexibility in the design of optical systems that can be tailored to specific applications.

The use of diffractive optics enables high-precision control over the phase and amplitude of light, thereby allowing the creation of complex optical structures that can perform functions that cannot be achieved easily with traditional optics. Overall, diffractive optics offer a powerful tool for controlling the behavior of light and has enabled the development of a wide range of advanced optical systems and technologies. A few examples of the many applications of diffractive optics include laser beam shaping, holography, imaging, optical communications, optical data storage, laser processing, etc. Diffractive optics has the potential to revolutionize a wide range of fields as well, from communications and imaging to computing and entertainment. Its ability to provide more efficient, precise, and flexible optical components will definitely lead to a continued expansion of its applications in the future.

The objective of this Special Issue of Photonics seeks contributions dealing with recent advances in the field of diffractive optics. Topics will include, but are not limited to, the key aspects of diffractive optics technology such as theory, design, fabrication, testing, and different applications in laser beam shaping, holography, imaging, sensing, optical communication, display, optical data storage, laser processing.

Dr. Biswajit Pathak
Dr. Ivan Divliansky
Guest Editors

Manuscript Submission Information

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Keywords

  • diffraction
  • phase modulation
  • holography
  • fresnel zone plate
  • grating
  • binary optics
  • computer-generated holography
  • diffractive optical element
  • fourier transform
  • beam shaping
  • meta-surfaces
  • high-power applications
  • design algorithm

Published Papers (3 papers)

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Research

14 pages, 2722 KiB  
Article
Effect of Polarization on Cross-Spectral Density Matrix
by Akanksha Gautam, Dinesh N. Naik, C. S. Narayanamurthy and Rakesh Kumar Singh
Photonics 2024, 11(2), 142; https://doi.org/10.3390/photonics11020142 - 3 Feb 2024
Viewed by 1054
Abstract
Coherence-polarization properties of different beams are experimentally measured in the far-field from the source and results are presented for incoherent sources with three different polarization features, such as unpolarized, diagonally polarized, and spatially depolarized. These results highlight the role of polarization tailoring on [...] Read more.
Coherence-polarization properties of different beams are experimentally measured in the far-field from the source and results are presented for incoherent sources with three different polarization features, such as unpolarized, diagonally polarized, and spatially depolarized. These results highlight the role of polarization tailoring on far-field coherence-polarization properties of the incoherent vector source. The effect of polarization on far-field coherence is analyzed using a beam cross-spectral density (CSD) matrix, and the role of polarization tailoring on the CSD matrix is demonstrated. Two-dimensional spatial distributions of all four elements of the CSD matrix are experimentally realized using a field-based interferometer with Sagnac geometry in combination with a four-step phase-shifting technique. Full article
(This article belongs to the Special Issue Diffractive Optics – Current Trends and Future Advances)
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13 pages, 6376 KiB  
Article
Improving the False Alarm Capability of the Extended Maximum Average Correlation Height Filter
by Rahul Kumar, Naveen K. Nishchal and Ayman Alfalou
Photonics 2023, 10(10), 1096; https://doi.org/10.3390/photonics10101096 - 29 Sep 2023
Viewed by 664
Abstract
The extended maximum average correlation height (EMACH) filter is a potent pattern-detection tool used in image processing and computer vision applications. This filter enhances the effectiveness of the maximum average correlation height (MACH) filter by adding more features and flexibility. Incorporating the benefits [...] Read more.
The extended maximum average correlation height (EMACH) filter is a potent pattern-detection tool used in image processing and computer vision applications. This filter enhances the effectiveness of the maximum average correlation height (MACH) filter by adding more features and flexibility. Incorporating the benefits of wavelet decomposition, we updated the EMACH filter to enhance its performance. The updated filter offered improved accuracy, robustness, and flexibility in recognizing complex patterns and objects in images with varying lighting conditions, noise levels, and occlusions. To verify the results’ consistency and compare their performance with that of the MACH filter and EMACH filter, performance metrics like peak-to-correlation energy, peak-to-sidelobe ratio, signal-to-noise ratio, and discrimination ratio were computed. Through numerical and experimental studies, we found that the proposed filter enhances the identification rate and decreases the number of false alarms. Full article
(This article belongs to the Special Issue Diffractive Optics – Current Trends and Future Advances)
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9 pages, 1758 KiB  
Communication
Improvement in Signal Phase Detection Using Deep Learning with Parallel Fully Connected Layers
by Michito Tokoro and Ryushi Fujimura
Photonics 2023, 10(9), 1006; https://doi.org/10.3390/photonics10091006 - 3 Sep 2023
Viewed by 724
Abstract
We report a single-shot phase-detection method using deep learning in a holographic data-storage system. The error rate was experimentally confirmed to be reduced by up to three orders of magnitude compared with that in the conventional phase-determination algorithm by learning the light-intensity distribution [...] Read more.
We report a single-shot phase-detection method using deep learning in a holographic data-storage system. The error rate was experimentally confirmed to be reduced by up to three orders of magnitude compared with that in the conventional phase-determination algorithm by learning the light-intensity distribution around a target signal pixel. In addition, the output speed of a signal phase could be shortened by devising a network and arranging the fully connected layers in parallel. In our environment, the phase-output time of a single-pixel classification was approximately 18 times longer than that in our previous method, with the minimum-finding algorithm. However, it could be reduced to 1.7 times or less when 32 pixels were simultaneously classified. Therefore, the proposed method can significantly reduce the error rates and suppress the phase-output time to almost the same level as that in the previous method. Thus, our proposed method can be a promising phase-detection method for realizing a large-density data-storage system. Full article
(This article belongs to the Special Issue Diffractive Optics – Current Trends and Future Advances)
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