@inproceedings{03a3fa75b17944dea639bde9263d5709,
title = "Wavefront coded image restoration algorithm based on compressed sensing for off-axis mirror system",
abstract = "By combining optical systems and image processing, wavefront coding can greatly expand the depth of focus and depth of field of optical systems. It has been widely used in iris detection, high-power microscopic objective lens, infrared optical system athermalized, and so on. At present, the image restoration algorithms commonly used in wavefront coding are based on deconvolution, Wiener filtering, and so on. Although these algorithms can achieve an excellent image restoration effect, they will also bring boundary ringing effects and artifacts to the image. When the image is disturbed by strong noise, the restoration effect will also be seriously affected. To solve these problems, a wavefront coded image restoration algorithm based on compressed sensing is proposed in this paper. The strong data reconstruction ability of the compressed sensing restoration algorithm is used to restore the encoded image obtained by the wavefront coding system. This method can effectively suppress noise and reconstruct the image without artifact and boundary ringing effect. Through the comparison of simulation results, the effectiveness of the proposed method is verified.",
keywords = "Artifact, Compressed sensing, Wavefront coding",
author = "Yi Huang and Jun Chang and Dongmei Li and Jiajing Cao and Shan Du",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 7th Asia Pacific Conference on Optics Manufacture, APCOM 2021 ; Conference date: 28-10-2021 Through 31-10-2021",
year = "2022",
doi = "10.1117/12.2617908",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jiubin Tan and Xiangang Luo and Ming Huang and Lingbao Kong and Dawei Zhang",
booktitle = "Seventh Asia Pacific Conference on Optics Manufacture, APCOM 2021",
address = "United States",
}