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Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses
Date
2020-06-22
Author
Dogan, Didem
Öktem, Sevinç Figen
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We develop novel model-based inversion methods for compressive spectral imaging with diffractive lenses. These fast image reconstruction methods, exploiting data- adaptive convolutional dictionaries and sparsifying transforms, are applicable to any computational imaging problem with convolutional models.
URI
https://hdl.handle.net/11511/81874
https://www.osapublishing.org/abstract.cfm?uri=COSI-2020-CW4B.4
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Department of Electrical and Electronics Engineering, Conference / Seminar
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Anlık Spektral Görüntüleme için Tasarım Eniyileme
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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 vari...
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D. Dogan and S. F. Öktem, “Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses,” 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81874.