Analysis and Optimization of Aperture Design in Computational Imaging
© 2018 IEEE. There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems-and the associated optimum aperture coding-under simple but meaningful propaga...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137737 |
| _version_ | 1826211177704718336 |
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| author | Yedidia, Adam Thrampoulidis, Christos Wornell, Gregory |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Yedidia, Adam Thrampoulidis, Christos Wornell, Gregory |
| author_sort | Yedidia, Adam |
| collection | MIT |
| description | © 2018 IEEE. There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems-and the associated optimum aperture coding-under simple but meaningful propagation and sensor models. Among other results, we show that when SNR is high and thermal noise dominates shot noise, spectrally-flat masks, which have 50% transmissivity, are optimal, but that when shot noise dominates thermal noise, randomly generated masks with lower transmissivity offer greater performance. We also provide comparisons to classical pinhole and lens-based cameras. |
| first_indexed | 2024-09-23T15:01:49Z |
| format | Article |
| id | mit-1721.1/137737 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:01:49Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1377372021-11-09T03:08:12Z Analysis and Optimization of Aperture Design in Computational Imaging Yedidia, Adam Thrampoulidis, Christos Wornell, Gregory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © 2018 IEEE. There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems-and the associated optimum aperture coding-under simple but meaningful propagation and sensor models. Among other results, we show that when SNR is high and thermal noise dominates shot noise, spectrally-flat masks, which have 50% transmissivity, are optimal, but that when shot noise dominates thermal noise, randomly generated masks with lower transmissivity offer greater performance. We also provide comparisons to classical pinhole and lens-based cameras. 2021-11-08T17:55:48Z 2021-11-08T17:55:48Z 2018-04 2019-07-09T12:53:45Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137737 Yedidia, Adam, Thrampoulidis, Christos and Wornell, Gregory. 2018. "Analysis and Optimization of Aperture Design in Computational Imaging." en 10.1109/icassp.2018.8462521 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Yedidia, Adam Thrampoulidis, Christos Wornell, Gregory Analysis and Optimization of Aperture Design in Computational Imaging |
| title | Analysis and Optimization of Aperture Design in Computational Imaging |
| title_full | Analysis and Optimization of Aperture Design in Computational Imaging |
| title_fullStr | Analysis and Optimization of Aperture Design in Computational Imaging |
| title_full_unstemmed | Analysis and Optimization of Aperture Design in Computational Imaging |
| title_short | Analysis and Optimization of Aperture Design in Computational Imaging |
| title_sort | analysis and optimization of aperture design in computational imaging |
| url | https://hdl.handle.net/1721.1/137737 |
| work_keys_str_mv | AT yedidiaadam analysisandoptimizationofaperturedesignincomputationalimaging AT thrampoulidischristos analysisandoptimizationofaperturedesignincomputationalimaging AT wornellgregory analysisandoptimizationofaperturedesignincomputationalimaging |