Challenges and Future Directions in Adaptive Optics Technology

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

Deadline for manuscript submissions: 10 September 2024 | Viewed by 836

Special Issue Editors


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Guest Editor
Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Science, Sichuan, China
Interests: adaptive optics; wavefront sensing; intelligent control algorithm; deep learning; high-energy beam control
Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Science, Sichuan, China
Interests: adaptive optics; wavefront sensing; laser communication; flow measurements

Special Issue Information

Dear Colleagues,

We are excited to announce a call for papers for our upcoming Special Issue “Challenges and Future Directions in Adaptive Optics Technology” in Photonics. This is a platform used to explore the recent developments, current practices, and future trends in adaptive optics and related fields. Adaptive optics systems and components have achieved a level of sophistication and simplicity that goes beyond the traditional applications in astronomy and into multiple developments, including biology, medicine, manufacturing, communications, ophthalmology, vision science, microscopy, high-energy beam control, and so on. These developments introduce many exciting possibilities. One distinctive tool is AI-powered adaptive optics technology. However, with various communities pursuing different applications of AO and its novel methods, this technology will face many challenges from technical and engineering aspects.

The Special Issue “Challenges and Future Directions in Adaptive Optics Technology” invites original research and comments that introduce the recent advances in adaptive optics from computational, experimental, theoretical, and numerical perspectives, including (but not limited to):

  • AO systems and component technologies;
  • Sensors, measurements, and instrumentation in AO;
  • Advanced Wavefront sensing, correction, shaping methods;
  • Reconstruction and control algorithms;
  • Sensor-less and actuator-less AO;
  • Machine learning and AI for AO, and AO for AI;
  • The modeling and characterization of AO systems and components;
  • Fourier optics, image, and signal processing techniques for AO;
  • High-energy beam control and beam propagation and control;
  • Imaging through scattering and turbid media;
  • Advanced AO in atmospheric, oceanic, and biomedical optics;
  • Advanced AO in optical metrology, optical communication, and microscopy;
  • Novel applications of AO.

Dr. Ping Yang
Dr. Zeyu Gao
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

  • adaptive optics
  • wavefront sensing
  • wavefront correction
  • wavefront shaping
  • optical metrology
  • optical communication
  • machine learning
  • atmospheric, oceanic or biomedical optics

Published Papers (1 paper)

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Research

10 pages, 1173 KiB  
Article
Compressed Sensing Image Reconstruction with Fast Convolution Filtering
by Runbo Guo and Hao Zhang
Photonics 2024, 11(4), 323; https://doi.org/10.3390/photonics11040323 - 30 Mar 2024
Viewed by 554
Abstract
Image reconstruction is a crucial aspect of computational imaging. The compressed sensing reconstruction (CS) method has been developed to obtain high-quality images. However, the CS method is commonly time-consuming in image reconstruction. To overcome this drawback, we propose a compressed sensing reconstruction method [...] Read more.
Image reconstruction is a crucial aspect of computational imaging. The compressed sensing reconstruction (CS) method has been developed to obtain high-quality images. However, the CS method is commonly time-consuming in image reconstruction. To overcome this drawback, we propose a compressed sensing reconstruction method with fast convolution filtering (F-CS method), which significantly increases reconstruction speed by reducing the number of convolution operations without image fill. The experimental results show that by using the F-CS method, the reconstruction speed can be increased by a factor of 7 compared to the conventional CS method. Moreover, the F-CS method proposed in this paper is compared with the back-propagation reconstruction (BP) method and super-resolution reconstruction (SR) method, and it is validated that the proposed method has a lower computational resource cost for high-quality image reconstruction and exhibits a much more balanced capability. Full article
(This article belongs to the Special Issue Challenges and Future Directions in Adaptive Optics Technology)
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