Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Computational optical sensing and imaging 2021: feature issue introduction
Date
2022-03-28
Author
Ke, Jun
Alieva, Tatiana
Öktem, Sevinç Figen
Silveira, Paulo E.X.
Wetzstein, Gordon
Willomitzer, Florian
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
127
views
0
downloads
Cite This
© 2022 Optica Publishing GroupThis Feature Issue includes 2 reviews and 34 research articles that highlight recent works in the field of Computational Optical Sensing and Imaging. Many of the works were presented at the 2021 OSA Topical Meeting on Computational Optical Sensing and Imaging, held virtually from July 19 to July 23, 2021. Articles in the feature issue cover a broad scope of computational imaging topics, such as microscopy, 3D imaging, phase retrieval, non-line-of-sight imaging, imaging through scattering media, ghost imaging, compressed sensing, and applications with new types of sensors. Deep learning approaches for computational imaging and sensing are also a focus of this feature issue.
URI
https://hdl.handle.net/11511/97493
Journal
Optics Express
DOI
https://doi.org/10.1364/oe.456132
Collections
Department of Electrical and Electronics Engineering, Article
Suggestions
OpenMETU
Core
Computational Optical Sensing and Imaging 2021: introduction to the feature issue
Ke, Jun; Alieva, Tatiana; Öktem, Sevinç Figen; Silveira, Paulo E. X.; Wetzstein, Gordon; Willomitzer, Florian (2021-03-01)
This feature issue includes two reviews and 34 research papers that highlight recent works in the field of computational optical sensing and imaging. Many of the works were presented at the 2021 Optica (formerly OSA) Topical Meeting on Computational Optical Sensing and Imaging, held virtually from 19 July to 23 July 2021. Papers in the feature issue cover a broad scope of computational imaging topics, such as microscopy, 3D imaging, phase retrieval, non-line-of-sight imaging, imaging through scattering medi...
Numerical design and investigation of plasmonic lenses for maximum power focusing
Güler, Sadri; Sür, Cem Gürkan; Ergül, Özgür Salih (2018-04-13)
We present the design and investigation of plasmonic lenses to achieve maximum power focusing for imaging applications. As opposed to commonly used slits opened on metallic structures, the designs are based on different arrangements of holes on metallic slabs. The structures are obtained via an optimization environment based on a three-dimensional numerical solver using an efficient implementation of the multilevel fast multipole algorithm (MLFMA) and optimization modules using genetic algorithm. We demonst...
Camera electronics and image enhancement software for infrared detector arrays
Küçükkömürler, Alper; Akın, Tayfun; Department of Environmental Engineering (2012)
This thesis aims to design and develop camera electronics and image enhancement software for infrared detector arrays. It first discusses the camera electronics suitable for infrared detector arrays, then it concentrates on image enhancement software that are implemented including defective pixel correction, contrast enhancement, noise reduction and pseudo coloring. After that, testing and results of the implemented algorithms were presented. Camera electronics and circuit operation frequency are selected c...
Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery
Başkurt, Nur Didem; Gur, Yusuf; Omruuzun, Fatih; Çetin, Yasemin (2016-05-19)
Hyperspectral imaging in gas detection applications is a leading and widely studied research topic thanks to its high spectral resolution and remote detection ability. The main problems in these applications covers the leakage detection, gas identification, and quantification. The proposed algorithm aims to reach the transmittance and absorbance features of the gas and to detect the gaseous region by using the measured radiance data from the hyperspectral infrared sensors.
MEMS gyroscopes with capacitive enhancement
Ersoy, Emre; Azgın, Kıvanç; Department of Mechanical Engineering (2022-2-08)
This thesis reports development of a novel capacitive enhancement approach for MEMS gyroscopes with in-plane drive motion. The study includes design, fabrication, post-processing, and test steps of the MEMS device and enhancement setup. The gyroscope consists of two identical masses which were connected by a diamond shape coupling mechanism. This coupling mechanism provides mode ordering in drive mode. The gyroscope is designed to be mode-matched in order to achieve higher displacements in the sense mode. T...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
J. Ke, T. Alieva, S. F. Öktem, P. E. X. Silveira, G. Wetzstein, and F. Willomitzer, “Computational optical sensing and imaging 2021: feature issue introduction,”
Optics Express
, vol. 30, no. 7, pp. 11394–11399, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97493.