Feature Issue of Applied Optics and Optics Express
Computational Optical Sensing and Imaging 2023
Submission Opens: 1 September 2023
Submission Deadline: 9 October 2023
Applied Optics and Optics Express welcome submissions to a feature issue on "Computational Optical Sensing and Imaging" in conjunction with the Computational Optical Sensing and Imaging (COSI) topical meeting collocated with the Optica Imaging Congress. Whereas meeting participants are particularly encouraged to submit their work, the COSI feature issue is open to all contributions in related areas.
The COSI field seeks to collectively exploit the capabilities of optics, electronics and computation in realizing newer imaging capabilities that are not afforded by classical EO design. Application areas for Computational Imaging range from theoretical advances in photonics to imaging applications in medicine, defense and industry. This feature issue will highlight the latest advances in imaging science, emphasizing synergistic activities in optics, signal processing and machine learning.
Topics of interest include, but are not limited to, the following:
- Computational Adaptive Optics
- Computational Microscopy (including Ptychography), Digital Holographic Microscopy
- Compressed Sensing
- Computational Spectroscopy and Spectral Imaging
- Computational Imaging for Point-of-Care Applications
- Fundamental Limits of Computational Optical Sensing and Imaging
- Imaging through Scattering and Turbid Media
- Inverse Problems in Imaging
- Lensless Imaging, Coherent Diffraction Imaging
- Machine Learning for Computational Imaging
- Novel Applications of Holography
- Phase Retrieval and its Applications
- SAR, InSAR, Terahertz- and mm-Wave Imaging
- Super-Resolution
- Topics in 3D Imaging (Structured Illumination, ToF Sensing, LiDAR, Light Fields)
- Tomographic Imaging
- Unconventional Imaging Modalities (Intensity Interferometry, Ghost Imaging and Mutual Intensity Imaging)
Topics of Special Interest:
- Computer Generated Holography and Computational Displays for AR/VR
- Computational Imaging using Metasurfaces and Metamaterials
- Event-Driven Computational Imaging using Neuromorphic Sensors
- Non-Line-of-Sight Imaging
- Physics Aware Deep Learning
- Quantum Imaging, Quantum Sensing
- Single-Photon Imaging
Feature Editors
Prasanna Rangarajan, Southern Methodist University, USA (Lead Editor)
Daniele Faccio, University of Glasgow, UK
Seung Ah Lee, Yonsei University, Republic of Korea
Lars Loetgering, ZEISS Research Microscopy Solutions, Germany