Poster + Paper
13 June 2023 Super-resolution-imaging by synthetic aperture with incoherent illumination
Haitao Guan, Yan Hu, Jiaxue Zeng, Chao Zuo, Qian Chen
Author Affiliations +
Conference Poster
Abstract
Far-field photoelectric detection has long been powerful tool for defense and public security. The resolution, one of the most critical metrics of a detection system, characterizes its capability to discern details and is primarily limited by the aperture dimension. In addition to expanding the aperture directly, aperture synthesis is a typical method for resolution enhancement, in which a series of sub-apertures form a larger virtual aperture. Here we show a super-resolution imaging method based on aperture synthesis with incoherent illumination. The phase of the light field is retrieved with an autocorrelator, and details, which could not be captured with the same aperture diameter, can be obtained under different sub-apertures by wavefront modulation. The super-resolution result is reconstructed by synthesizing the sub-aperture images in the Fourier domain using an iterative algorithm. The capability in resolution enhancement of this method is demonstrated with simulations and experiments.
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Haitao Guan, Yan Hu, Jiaxue Zeng, Chao Zuo, and Qian Chen "Super-resolution-imaging by synthetic aperture with incoherent illumination", Proc. SPIE 12523, Computational Imaging VII , 125230H (13 June 2023); https://doi.org/10.1117/12.2665635
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KEYWORDS
Wavefronts

Imaging systems

Resolution enhancement technologies

Super resolution

Synthetic apertures

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