HD snapshot diffractive spectral imaging and inferencing
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929399122624512 |
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| author | Majumder, Apratim Meem, Monjurul del Cueto, Fernando Gonzalez Guevara-Vasquez, Fernando Qadri, Syed N. Santiago, Freddie Menon, Rajesh |
| author_facet | Majumder, Apratim Meem, Monjurul del Cueto, Fernando Gonzalez Guevara-Vasquez, Fernando Qadri, Syed N. Santiago, Freddie Menon, Rajesh |
| contents | We present a novel high-definition (HD) snapshot diffractive spectral imaging system utilizing a diffractive filter array (DFA) to capture a single image that encodes both spatial and spectral information. This single diffractogram can be computationally reconstructed into a spectral image cube, providing a high-resolution representation of the scene across 25 spectral channels in the 440-800 nm range at 1304x744 spatial pixels (~1 MP). This unique approach offers numerous advantages including snapshot capture, a form of optical compression, flexible offline reconstruction, the ability to select the spectral basis after capture, and high light throughput due to the absence of lossy filters. We demonstrate a 30-50 nm spectral resolution and compared our reconstructed spectra against ground truth obtained by conventional spectrometers. Proof-of-concept experiments in diverse applications including biological tissue classification, food quality assessment, and simulated stellar photometry validate our system's capability to perform robust and accurate inference. These results establish the DFA-based imaging system as a versatile and powerful tool for advancing scientific and industrial imaging applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_17302 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | HD snapshot diffractive spectral imaging and inferencing Majumder, Apratim Meem, Monjurul del Cueto, Fernando Gonzalez Guevara-Vasquez, Fernando Qadri, Syed N. Santiago, Freddie Menon, Rajesh Optics Image and Video Processing We present a novel high-definition (HD) snapshot diffractive spectral imaging system utilizing a diffractive filter array (DFA) to capture a single image that encodes both spatial and spectral information. This single diffractogram can be computationally reconstructed into a spectral image cube, providing a high-resolution representation of the scene across 25 spectral channels in the 440-800 nm range at 1304x744 spatial pixels (~1 MP). This unique approach offers numerous advantages including snapshot capture, a form of optical compression, flexible offline reconstruction, the ability to select the spectral basis after capture, and high light throughput due to the absence of lossy filters. We demonstrate a 30-50 nm spectral resolution and compared our reconstructed spectra against ground truth obtained by conventional spectrometers. Proof-of-concept experiments in diverse applications including biological tissue classification, food quality assessment, and simulated stellar photometry validate our system's capability to perform robust and accurate inference. These results establish the DFA-based imaging system as a versatile and powerful tool for advancing scientific and industrial imaging applications. |
| title | HD snapshot diffractive spectral imaging and inferencing |
| topic | Optics Image and Video Processing |
| url | https://arxiv.org/abs/2406.17302 |