Compressive sensing has established itself as a novel imaging paradigm. In this paper, we analyze the behavior of a a compressive instrument based on spatial light modulators (SLM), operating in the mid-infrared. We show that, contrary to the well-studied visible and near-infrared wavelengths, mid-infrared poses modeling challenges due to non-negligible SLM diffraction effects. We show a way to model such effect analytically and to account for them in the reconstruction process, leading to improved reconstruction quality.
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared / Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Prette, Nicola; Raimondi, Valentina; Valsesia, Diego. - ELETTRONICO. - (2023), pp. 4463-4465. (Intervento presentato al convegno IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena, CA (USA) nel 16-21 July 2023) [10.1109/igarss52108.2023.10283029].
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared
Bianchi, Tiziano;Magli, Enrico;Prette, Nicola;Valsesia, Diego
2023
Abstract
Compressive sensing has established itself as a novel imaging paradigm. In this paper, we analyze the behavior of a a compressive instrument based on spatial light modulators (SLM), operating in the mid-infrared. We show that, contrary to the well-studied visible and near-infrared wavelengths, mid-infrared poses modeling challenges due to non-negligible SLM diffraction effects. We show a way to model such effect analytically and to account for them in the reconstruction process, leading to improved reconstruction quality.File | Dimensione | Formato | |
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Diffraction_Efficiency-Aware_Reconstruction_for_Compressive_Sensing_in_the_Mid-Infrared.pdf
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https://hdl.handle.net/11583/2987779