Imaging Correlography Using Ptychography
Imaging correlography, an effective method for long-distance imaging, recovers an object using only the knowledge of the Fourier modulus, without needing phase information. It is not sensitive to atmospheric turbulence or optical imperfections. However, the unreliability of traditional phase retriev...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/20/4377 |
| _version_ | 1818359642003079168 |
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| author | Zhixin Li Desheng Wen Zongxi Song Tuochi Jiang Weikang Zhang Gang Liu Xin Wei |
| author_facet | Zhixin Li Desheng Wen Zongxi Song Tuochi Jiang Weikang Zhang Gang Liu Xin Wei |
| author_sort | Zhixin Li |
| collection | DOAJ |
| description | Imaging correlography, an effective method for long-distance imaging, recovers an object using only the knowledge of the Fourier modulus, without needing phase information. It is not sensitive to atmospheric turbulence or optical imperfections. However, the unreliability of traditional phase retrieval algorithms in imaging correlography has hindered their development. In this work, we join imaging correlography and ptychography together to overcome such obstacles. Instead of detecting the whole object, the object is measured part-by-part with a probe moving in a ptychographic way. A flexible optimization framework is proposed to reconstruct the object rapidly and reliably within a few iterations. In addition, novel image space denoising regularization is plugged into the loss function to reduce the effects of input noise and improve the perceptual quality of the recovered image. Experiments demonstrate that four-fold resolution gains are achievable for the proposed imaging method. We can obtain satisfactory results for both visual and quantitative metrics with one-sixth of the measurements in the conventional imaging correlography. Therefore, the proposed imaging technique is more suitable for long-range practical applications. |
| first_indexed | 2024-12-13T20:48:08Z |
| format | Article |
| id | doaj.art-aa7abd7eb5744fbb95730a89c1b3ea7f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T20:48:08Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-aa7abd7eb5744fbb95730a89c1b3ea7f2022-12-21T23:31:57ZengMDPI AGApplied Sciences2076-34172019-10-01920437710.3390/app9204377app9204377Imaging Correlography Using PtychographyZhixin Li0Desheng Wen1Zongxi Song2Tuochi Jiang3Weikang Zhang4Gang Liu5Xin Wei6Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaImaging correlography, an effective method for long-distance imaging, recovers an object using only the knowledge of the Fourier modulus, without needing phase information. It is not sensitive to atmospheric turbulence or optical imperfections. However, the unreliability of traditional phase retrieval algorithms in imaging correlography has hindered their development. In this work, we join imaging correlography and ptychography together to overcome such obstacles. Instead of detecting the whole object, the object is measured part-by-part with a probe moving in a ptychographic way. A flexible optimization framework is proposed to reconstruct the object rapidly and reliably within a few iterations. In addition, novel image space denoising regularization is plugged into the loss function to reduce the effects of input noise and improve the perceptual quality of the recovered image. Experiments demonstrate that four-fold resolution gains are achievable for the proposed imaging method. We can obtain satisfactory results for both visual and quantitative metrics with one-sixth of the measurements in the conventional imaging correlography. Therefore, the proposed imaging technique is more suitable for long-range practical applications.https://www.mdpi.com/2076-3417/9/20/4377ptychographyimaging correlographycomputational imagingphase retrievalfourier optics |
| spellingShingle | Zhixin Li Desheng Wen Zongxi Song Tuochi Jiang Weikang Zhang Gang Liu Xin Wei Imaging Correlography Using Ptychography Applied Sciences ptychography imaging correlography computational imaging phase retrieval fourier optics |
| title | Imaging Correlography Using Ptychography |
| title_full | Imaging Correlography Using Ptychography |
| title_fullStr | Imaging Correlography Using Ptychography |
| title_full_unstemmed | Imaging Correlography Using Ptychography |
| title_short | Imaging Correlography Using Ptychography |
| title_sort | imaging correlography using ptychography |
| topic | ptychography imaging correlography computational imaging phase retrieval fourier optics |
| url | https://www.mdpi.com/2076-3417/9/20/4377 |
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