High resolution perspective views extraction based on light field imaging theory

Author(s):  
Hui Li ◽  
Jing Peng
2020 ◽  
Vol 29 ◽  
pp. 1628-1640 ◽  
Author(s):  
Fei Liu ◽  
Shubo Zhou ◽  
Yunlong Wang ◽  
Guangqi Hou ◽  
Zhenan Sun ◽  
...  

2016 ◽  
Vol 53 (10) ◽  
pp. 101001
Author(s):  
赵青青 Zhao Qingqing ◽  
张涛 Zhang Tao ◽  
郑伟波 Zheng Weibo

Author(s):  
Abdulkadir Akin ◽  
Omer Cogal ◽  
Kerem Seyid ◽  
Hossein Afshari ◽  
Alexandre Schmid ◽  
...  

2020 ◽  
Vol 49 (3) ◽  
pp. 310002-310002
Author(s):  
韩思敏 Si-min HAN ◽  
张薇 Wei ZHANG ◽  
张翔 Xiang ZHANG ◽  
韦晓孝 Xiao-xiao WEI ◽  
万新军 Xin-jun WAN

2019 ◽  
Vol 58 (5) ◽  
pp. A142 ◽  
Author(s):  
Chien-Hung Lu ◽  
Stefan Muenzel ◽  
Jason W. Fleischer

2020 ◽  
Vol 25 (10) ◽  
Author(s):  
Qiang Geng ◽  
Zhiqiang Fu ◽  
Shih-Chi Chen

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5557
Author(s):  
Hui Li ◽  
Yi Yu ◽  
Jing Peng ◽  
Yuntao Wu ◽  
Yanduo Zhang

A relatively simple method to improve the image resolution of light field based on a liquid crystal (LC) microlens doped with multi-walled carbon nanotubes (MWCNTs) was developed and evaluated. As the nanoparticles were doped in LC, its electro-optical features could enhance, leading to a short response time compared to the pure LC microlens. With the maximum use of the proposed LC microlens, a method combining aperiodicity extraction and weighted average algorithm was adopted to realize the high-resolution light field imaging. The aperiodicity extraction method was proposed, which could effectively improve resolution of view angle image. For synthesizing the full resolution image at 0 Vrms and the extracted view angle image of light field imaging at 2.0 Vrms, the final high-resolution light field imaging could be obtained in a short time by weighted average algorithm. In this way, the common problem of low resolution in light field imaging could be solved. This proposed method was in good agreement with our experimental results. And it was also in line with the development of the trend of the smart imaging sensor combining algorithm with hardware.


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