Learning to Sense for Coded Diffraction Imaging
In this paper, we present a framework to learn illumination patterns to improve the quality of signal recovery for coded diffraction imaging. We use an alternating minimization-based phase retrieval method with a fixed number of iterations as the iterative method. We represent the iterative phase re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/24/9964 |
| _version_ | 1797455343529230336 |
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| author | Rakib Hyder Zikui Cai M. Salman Asif |
| author_facet | Rakib Hyder Zikui Cai M. Salman Asif |
| author_sort | Rakib Hyder |
| collection | DOAJ |
| description | In this paper, we present a framework to learn illumination patterns to improve the quality of signal recovery for coded diffraction imaging. We use an alternating minimization-based phase retrieval method with a fixed number of iterations as the iterative method. We represent the iterative phase retrieval method as an unrolled network with a fixed number of layers where each layer of the network corresponds to a single step of iteration, and we minimize the recovery error by optimizing over the illumination patterns. Since the number of iterations/layers is fixed, the recovery has a fixed computational cost. Extensive experimental results on a variety of datasets demonstrate that our proposed method significantly improves the quality of image reconstruction at a fixed computational cost with illumination patterns learned only using a small number of training images. |
| first_indexed | 2024-03-09T15:52:03Z |
| format | Article |
| id | doaj.art-e9c92d5316b34c018e7013fc0860483c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T15:52:03Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e9c92d5316b34c018e7013fc0860483c2023-11-24T17:58:15ZengMDPI AGSensors1424-82202022-12-012224996410.3390/s22249964Learning to Sense for Coded Diffraction ImagingRakib Hyder0Zikui Cai1M. Salman Asif2Department of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USADepartment of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USADepartment of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USAIn this paper, we present a framework to learn illumination patterns to improve the quality of signal recovery for coded diffraction imaging. We use an alternating minimization-based phase retrieval method with a fixed number of iterations as the iterative method. We represent the iterative phase retrieval method as an unrolled network with a fixed number of layers where each layer of the network corresponds to a single step of iteration, and we minimize the recovery error by optimizing over the illumination patterns. Since the number of iterations/layers is fixed, the recovery has a fixed computational cost. Extensive experimental results on a variety of datasets demonstrate that our proposed method significantly improves the quality of image reconstruction at a fixed computational cost with illumination patterns learned only using a small number of training images.https://www.mdpi.com/1424-8220/22/24/9964phase retrievalcoded diffraction imaginglearned sensors |
| spellingShingle | Rakib Hyder Zikui Cai M. Salman Asif Learning to Sense for Coded Diffraction Imaging Sensors phase retrieval coded diffraction imaging learned sensors |
| title | Learning to Sense for Coded Diffraction Imaging |
| title_full | Learning to Sense for Coded Diffraction Imaging |
| title_fullStr | Learning to Sense for Coded Diffraction Imaging |
| title_full_unstemmed | Learning to Sense for Coded Diffraction Imaging |
| title_short | Learning to Sense for Coded Diffraction Imaging |
| title_sort | learning to sense for coded diffraction imaging |
| topic | phase retrieval coded diffraction imaging learned sensors |
| url | https://www.mdpi.com/1424-8220/22/24/9964 |
| work_keys_str_mv | AT rakibhyder learningtosenseforcodeddiffractionimaging AT zikuicai learningtosenseforcodeddiffractionimaging AT msalmanasif learningtosenseforcodeddiffractionimaging |