Point spread function engineering enable resolution enhanced imaging for Interferenceless coded aperture correlation holography

The point spread function (PSF) of an optical system could characterize the resolving ability of the whole optical system for point light sources. Therefore, the imaging performance of the system could be significantly improved by regulating and optimizing the PSF. In this paper, we innovatively propose a single-exposure hologram resolution enhanced cross-correlation (RECC) method for Interferenceless coded aperture holography(I-COACH) system, circumventing the necessity to obtain the point spread hologram (PSH) of an ideal point object. The RECC method firstly acquires an approximate image of a large-size point object by Lucy-Richardson (LR) algorithm in lens imaging mode, and takes it as a PSF to acquire a PSH with ideal size of the I-COACH system by LR algorithm again, and finally acquires a reconstructed image by the single-exposure hologram RECC method. In the RECC method, the approximate ideal PSHs at different axial positions of the system are acquired by offline operation, therefore, it has a high imaging temporal resolution, and the imaging transverse resolution is not affected by the size of the point objects at the time of recording the PSH, which provides a high imaging signal-to-noise ratio and stable resolution. The proposed method provides powerful technical support for further extending the application field of the I-COACH system, and provides technical reference for other incoherent imaging.

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Publication Details

Journal
Optics Express
Published
2024-10-17
DOI
https://doi.org/10.1364/oe.535067
Citations
8
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
2.70

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article

Point spread function engineering enable resolution enhanced imaging for Interferenceless coded aperture correlation holography

Hai Qing Guo, Xiaoxiao Cheng, Bing Xu, Yi Qin et al.
8 citations
Optics Express
Digital Holography and Microscopy
2.70
article

Point spread function engineering enable resolution enhanced imaging for Interferenceless coded aperture correlation holography

Hai Qing Guo, Xiaoxiao Cheng, Bing Xu, Yi Qin, Kangwei Xia, Le Wang, Chao Liu
article en
8 citations

Abstract

The point spread function (PSF) of an optical system could characterize the resolving ability of the whole optical system for point light sources. Therefore, the imaging performance of the system could be significantly improved by regulating and optimizing the PSF. In this paper, we innovatively propose a single-exposure hologram resolution enhanced cross-correlation (RECC) method for Interferenceless coded aperture holography(I-COACH) system, circumventing the necessity to obtain the point spread hologram (PSH) of an ideal point object. The RECC method firstly acquires an approximate image of a large-size point object by Lucy-Richardson (LR) algorithm in lens imaging mode, and takes it as a PSF to acquire a PSH with ideal size of the I-COACH system by LR algorithm again, and finally acquires a reconstructed image by the single-exposure hologram RECC method. In the RECC method, the approximate ideal PSHs at different axial positions of the system are acquired by offline operation, therefore, it has a high imaging temporal resolution, and the imaging transverse resolution is not affected by the size of the point objects at the time of recording the PSH, which provides a high imaging signal-to-noise ratio and stable resolution. The proposed method provides powerful technical support for further extending the application field of the I-COACH system, and provides technical reference for other incoherent imaging.

Optics ExpressVol. 32(23)
Anhui University of Science and Technology (CN), Anhui University of Finance and Economics (CN), Anhui Science and Technology University (CN), Nanyang Normal University (CN)
National Natural Science Foundation of China, Anhui University of Science and Technology, Anhui Provincial Department of Education
Openalex Percentile: Top 9%
Digital Holography and Microscopy
2.70
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