Paper
9 September 2022 Infrared imaging reconstruction and corresponding wavefront recovery based on Zernike polynomials
Xiangdong Yuan, Yuzheng Hou, Zhaomin Chen, Zhexun Li, Xinyu Zhang
Author Affiliations +
Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123281U (2022) https://doi.org/10.1117/12.2644217
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China
Abstract
The feasibility of the imaging reconstruction in the infrared domain according to the basic reconstruction method of Zernike moment in the visible range, is discussed. Due to the orthogonality of Zernike polynomials, any image within an unit circle can be represented by Zernike moments. Therefore, we propose an approach to reconstruct the target images inside the unit circle in the infrared wavelength range. Firstly, according to the light intensity distribution of the infrared object selected, a relatively clear image can be successfully reconstructed based on the Zernike moment reconstruction. And then according to the liquid-crystal Shaker-Hartmann wavefront measurement technology, the phase distribution corresponding to a tailored incident wavefront of the target radiation can be successfully recovered according to the refocusing spots of the liquid-crystal micro lenses over the CCD. Through combining wavefront measurement and recovery and further the infrared image reconstruction of the target, both the theoretical basis and the algorithm for recovering wavefront according to the intensity distribution of the infrared image are provided.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangdong Yuan, Yuzheng Hou, Zhaomin Chen, Zhexun Li, and Xinyu Zhang "Infrared imaging reconstruction and corresponding wavefront recovery based on Zernike polynomials", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123281U (9 September 2022); https://doi.org/10.1117/12.2644217
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KEYWORDS
Wavefronts

Infrared imaging

Liquid crystals

Infrared radiation

Microlens

Image restoration

Microlens array

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