Deep Learning Enables Optofluidic Zoom System with Large Zoom Ratio and High Imaging Resolution

被引:4
|
作者
Xu, Jiancheng [1 ]
Kuang, Fenglin [1 ]
Liu, Shubin [1 ]
Li, Lei [1 ]
机构
[1] Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610065, Peoples R China
基金
中国国家自然科学基金;
关键词
electrowetting liquid lens; deep learning; optofluidic zoom system; DESIGN; LENS; SUPERRESOLUTION;
D O I
10.3390/s23063204
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Due to the relatively low optical power of a liquid lens, it is usually difficult to achieve a large zoom ratio and a high-resolution image simultaneously in an optofluidic zoom imaging system. We propose an electronically controlled optofluidic zoom imaging system combined with deep learning, which achieves a large continuous zoom change and a high-resolution image. The zoom system consists of an optofluidic zoom objective and an image-processing module. The proposed zoom system can achieve a large tunable focal length range from 4.0 mm to 31.3 mm. In the focal length range of 9.4 mm to 18.8 mm, the system can dynamically correct the aberrations by six electrowetting liquid lenses to ensure the image quality. In the focal length range of 4.0-9.4 mm and 18.8-31.3 mm, the optical power of a liquid lens is mainly used to enlarge the zoom ratio, and deep learning enables the proposed zoom system with improved image quality. The zoom ratio of the system reaches 7.8x, and the maximum field of view of the system can reach similar to 29 degrees. The proposed zoom system has potential applications in camera, telescope and so on.
引用
收藏
页数:11
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