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

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© 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

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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...
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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

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.