Enhanced Phase Retrieval Method Based on Random Phase Modulation
The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The serial algorithm from the spread-spectrum phase...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/3/1184 |
| _version_ | 1818557759731269632 |
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| author | Fanxing Li Wei Yan Fupin Peng Simo Wang Jialin Du |
| author_facet | Fanxing Li Wei Yan Fupin Peng Simo Wang Jialin Du |
| author_sort | Fanxing Li |
| collection | DOAJ |
| description | The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The serial algorithm from the spread-spectrum phase retrieval method can realize rapid convergence but has poor noise immunity. Although there is a parallel framework that can suppress noise, the convergence speed is slow. Here, we propose a random phase modulation phase retrieval method based on a serial−parallel cascaded reconstruction framework to simultaneously achieve quality imaging and rapid convergence. The proposed serial−parallel cascaded method uses the phased result from the serial algorithm to serve as the initialization of the subsequent parallel process. Simulations and experiments demonstrate that the superiorities of both serial and parallel algorithms are fetched by the proposed serial−parallel cascaded method. In the end, we analyze the effect of iteration numbers from the serial process on the reconstruction performance to find the optimal allocation scope of iteration numbers. |
| first_indexed | 2024-12-14T00:03:47Z |
| format | Article |
| id | doaj.art-98fb784411f9496995009d8510228e76 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-14T00:03:47Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-98fb784411f9496995009d8510228e762022-12-21T23:26:09ZengMDPI AGApplied Sciences2076-34172020-02-01103118410.3390/app10031184app10031184Enhanced Phase Retrieval Method Based on Random Phase ModulationFanxing Li0Wei Yan1Fupin Peng2Simo Wang3Jialin Du4The School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, ChinaThe School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaThe School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaThe School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaThe phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The serial algorithm from the spread-spectrum phase retrieval method can realize rapid convergence but has poor noise immunity. Although there is a parallel framework that can suppress noise, the convergence speed is slow. Here, we propose a random phase modulation phase retrieval method based on a serial−parallel cascaded reconstruction framework to simultaneously achieve quality imaging and rapid convergence. The proposed serial−parallel cascaded method uses the phased result from the serial algorithm to serve as the initialization of the subsequent parallel process. Simulations and experiments demonstrate that the superiorities of both serial and parallel algorithms are fetched by the proposed serial−parallel cascaded method. In the end, we analyze the effect of iteration numbers from the serial process on the reconstruction performance to find the optimal allocation scope of iteration numbers.https://www.mdpi.com/2076-3417/10/3/1184random phase modulationphase retrievalspatial light modulator |
| spellingShingle | Fanxing Li Wei Yan Fupin Peng Simo Wang Jialin Du Enhanced Phase Retrieval Method Based on Random Phase Modulation Applied Sciences random phase modulation phase retrieval spatial light modulator |
| title | Enhanced Phase Retrieval Method Based on Random Phase Modulation |
| title_full | Enhanced Phase Retrieval Method Based on Random Phase Modulation |
| title_fullStr | Enhanced Phase Retrieval Method Based on Random Phase Modulation |
| title_full_unstemmed | Enhanced Phase Retrieval Method Based on Random Phase Modulation |
| title_short | Enhanced Phase Retrieval Method Based on Random Phase Modulation |
| title_sort | enhanced phase retrieval method based on random phase modulation |
| topic | random phase modulation phase retrieval spatial light modulator |
| url | https://www.mdpi.com/2076-3417/10/3/1184 |
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