Anlık Spektral Görüntüleme için Tasarım Eniyileme

Date

2019-08-22

Author

Ayazgök, Suleyman
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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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 various design choices affectits imaging performance. Here we use mutual coherence andt%-average mutual coherence as optimality metrics, which providequantitative performance measures that are independent of thespectral images to be reconstructed, regularization choices, andsignal-to noise ratio. Through numerical simulations, the optimalchoices for different design considerations are investigated usingthese metrics for an application in solar imaging. The resultssuggest that these optimality metrics provide good measures forreconstruction quality.

Subject Keywords

Spectral imaging, Design optimization, Mutual co-herence, Computational imaging, Inverse problems

URI

https://hdl.handle.net/11511/46746

DOI

https://doi.org/10.1109/siu.2019.8806574

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Ayazgök and S. F. Öktem, “Anlık Spektral Görüntüleme için Tasarım Eniyileme,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46746.