Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays

Date

2021-12-22

Author

Gundogan, Utku
Öktem, Sevinç Figen

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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URI

https://ieeexplore.ieee.org/abstract/document/9506357
https://hdl.handle.net/11511/97531

DOI

https://doi.org/10.1109/icip42928.2021.9506357

Conference Name

2021 IEEE International Conference on Image Processing (ICIP)

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Computational spectral imaging techniques using diffractive lenses and compressive sensing Kar, Oğuzhan Fatih; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2019) Spectral imaging is a fundamental diagnostic technique in physical sciences with application in diverse fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this thesis, we first present a modified version of a high-resolution computational spectral imaging modality and develop a fast sparse recovery method to solve the associated large-scale inverse problems. This technique uses a diffractive lens called photon sieve for dispersing the optical field. We then extend this t...
Computational Spectral Imaging Techniques for High-Resolution and Instantaneous Observations of the Solar Corona Öktem, Sevinç Figen; Davila, Joseph M (2014-08-18) Spectral imaging is a fundamental diagnostic technique for the study of the solar coronal plasma, and spectral data is routinely used to measure the temperature, density, and flow velocity in coronal features. However, obtaining the spectra of a multi-dimensional region with inherently two-dimensional detectors poses intrinsic limitations on the spatio-temporal extent of the technique. In particular, slit spectrographs suffer from a limited instantaneous field-of-view (IFOV), and filter-based spectral image...
Computational Spectral and Ultrafast Imaging via Convex Optimization Öktem, Sevinç Figen; Kamalabadi, Farzad (null, Springer, 2018-01-01)
Computational modelling and analysis of porous bleed holes at supersonic speeds Akar, Gökhan; Eyi, Sinan (2020-01-01) © 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.Shock Wave / Boundary Layer Interaction is an important issue that should be taken into account when studying inlet design. Bleed holes have traditionally been used to remove the lower momentum part of the boundary layer to avoid separation from adverse Shock Wave / Boundary Layer Interaction. In this study, modeling of porous bleed holes investigated in computational fluid dynamics on a flat plate with and without an ...
Computational Imaging and Inverse Problems: Making the Invisible Visible Öktem, Sevinç Figen (2019-09-06) Computational imaging is a rapidly evolving interdisciplinary field awarded of many Nobel prizes. In computationalopticalimaging, digitalprocessing is employed in conjunction with an optical system toformimages. That is, images are computationally formed fromsome indirectmeasurements bysolving an inverse problem. Driven by advances insignal processing techniques and faster computing platforms, this approach continuously yields the development of next-generationimaging systems in consumerelectronics, defense...

Citation Formats

U. Gundogan and S. F. Öktem, “Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays,” presented at the 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, Amerika Birleşik Devletleri, 2021, Accessed: 00, 2022. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9506357.