Super-resolution-imaging based on circular coded aperture

Kunyao Liang; Bowen Wang; Chao Zuo

doi:10.1117/12.2664916

13 June 2023 Super-resolution-imaging based on circular coded aperture

Kunyao Liang, Bowen Wang, Chao Zuo

Proceedings Volume 12523, Computational Imaging VII ; 125230G (2023) https://doi.org/10.1117/12.2664916
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

We proposed a variable circular coded aperture super-resolution imaging method to tackle the imaging limitation under the Nyquist sampling frequency insufficiency. By adjusting the circular aperture size to modulate the point spread function (PSF), a sequence of images captured by a low-resolution imaging detector. High-resolution image reconstructed by the iterative algorithm from a serial of captured low-resolution images. The simulation results show that our method can improve the resolution by 1.78 times. Without changing the imaging system or increasing its complexity, we adopt wavefront encoding by adding a circular aperture in front of the imaging lens to achieve super-resolution imaging. This imaging method is expected to apply the coded-aperture super-resolution imaging to miniaturized devices to upgrade it imaging quality.

Citation Download Citation

Kunyao Liang, Bowen Wang, and Chao Zuo "Super-resolution-imaging based on circular coded aperture", Proc. SPIE 12523, Computational Imaging VII , 125230G (13 June 2023); https://doi.org/10.1117/12.2664916

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