scholarly journals Polarization-insensitive achromatic metalens based on computational wavefront coding

2021 ◽  
Author(s):  
Ti Sun ◽  
Jingpei Hu ◽  
Suodong Ma ◽  
feng xu ◽  
Chinhua Wang
Keyword(s):  
Wavefront Coding ◽  
Polarization Insensitive

The suppression of aero-optical aberration of conformal dome by wavefront coding

2021 ◽  
pp. 126876
Author(s):  
Jiaqian Yu ◽  
Shouqian Chen ◽  
Fanyang Dang ◽  
Xueshen Li ◽  
Xiaotian Shi ◽  
...  
Keyword(s):  
Optical Aberration ◽  
Wavefront Coding

scholarly journals A thermally stable and polarization insensitive square-shaped water metamaterial with ultra-broadband absorption

2021 ◽  
Author(s):  
Yadgar I. Abdulkarim ◽  
Halgurd N. Awl ◽  
Fatih Ozkan Alkurt ◽  
Fahmi F. Muhammadsharif ◽  
Salah Raza Saeed ◽  
...  
Keyword(s):  
Thermally Stable ◽  
Broadband Absorption ◽  
Polarization Insensitive

scholarly journals Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4011
Author(s):  
Chuanwei Yao ◽  
Yibing Shen
Keyword(s):  
Imaging System ◽  
Optical Design ◽  
Computational Imaging ◽  
Large Field ◽  
Wavefront Aberration ◽  
Imaging Method ◽  
Image Deconvolution ◽  
Pupil Function ◽  
Wavefront Coding ◽  
Blurred Images

The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.

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