Compressive Photon-Sieve Spectral Imaging

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Date

2018-06-25

Author

Kar, Oguzhan Fatih
Kamaci, Ulas
Akyon, Fatih
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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We develop a new compressive spectral imaging modality that utilizes a coded aperture and a photon-sieve for dispersion. The 3D spectral data cube is successfully reconstructed with as little as two shots using sparse recovery

Subject Keywords

Apertures, Dispersion, Fresnel lenses, Hyperspectral imaging, Image reconstruction, Spectral imaging

URI

https://hdl.handle.net/11511/43960

DOI

https://doi.org/10.1364/cosi.2018.ctu5d.8

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Department of Electrical and Electronics Engineering, Conference / Seminar

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A Parametric Estimation Approach to Instantaneous Spectral Imaging Öktem, Sevinç Figen; Davila, Joseph M (2014-12-01) Spectral imaging, the simultaneous imaging and spectroscopy of a radiating scene, is a fundamental diagnostic technique in the physical sciences with widespread application. Due to the intrinsic limitation of two-dimensional (2D) detectors in capturing inherently three-dimensional (3D) data, spectral imaging techniques conventionally rely on a spatial or spectral scanning process, which renders them unsuitable for dynamic scenes. In this paper, we present a nonscanning (instantaneous) spectral imaging techn...
Fast Computational Spectral Imaging with a Programmable Diffractive Lens Kar, Oğuzhan Fatih; Öktem, Sevinç Figen (2019-06-24) We develop a fast computational spectral imaging modality that utilizes a single programmable diffractive lens. The proposed optical configuration is simple and provides promising reconstruction performance for the three-dimensional spectral data cube.
Anlık Spektral Görüntüleme için Tasarım Eniyileme Ayazgök, Suleyman; Öktem, Sevinç Figen (2019-08-22) Snapshot spectral imaging enables to reconstructspectral images from a multiplexed single-shot measurement.Since an inversion is required to form the spectral images com-putationally, quantitative characterization of their performanceis essential to optimize the design. In this paper, we analyze theoptimal design of a snapshot spectral imaging technique. Thissnapshot multi-spectral imaging technique uses a diffractive lenscalled generalized photon sieve, and vari...

Citation Formats

O. F. Kar, U. Kamaci, F. Akyon, and S. F. Öktem, “Compressive Photon-Sieve Spectral Imaging,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43960.