Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Dongfeng, Shi"'
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-15 (2024)
Abstract Traditional image processing-based autofocusing techniques require the acquisition, storage, and processing of large amounts of image sequences, constraining focusing speed and cost. Here we propose an autofocusing technique, which directly
Externí odkaz:
https://doaj.org/article/6aea39dbac9c4c6496a1fef8b4897668
Autor:
Dongfeng Shi, Jiawang Chen, Menglei Zhu, Zijun Guo, Zixin He, Ming Li, Di Wu, Yingjian Wang, Liang Li
Publikováno v:
InfoMat, Vol 6, Iss 12, Pp n/a-n/a (2024)
Abstract Breakthroughs brought about by two‐dimensional (2D) materials in the field of photodetection have opened up new possibilities in infrared imaging. However, challenges still exist in fabricating high‐density detector arrays using such mat
Externí odkaz:
https://doaj.org/article/71e49fbfbbbc409da14c85b9cc90c587
Autor:
Wenwen, Meng, Zixin, He, Zha, Linbin, Dongfeng, Shi, Zijun, Guo, Jian, Huang, Park, Byullee, Yingjian, Wang
Publikováno v:
In Optics and Laser Technology February 2025 181 Part A
Publikováno v:
In Optics and Lasers in Engineering May 2024 176
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2972 (2024)
Atmospheric turbulence is a key factor contributing to data distortion in mid-to-long-range target observation tasks. Neural networks have become a powerful tool for dealing with such problems due to their strong ability to fit nonlinearities in the
Externí odkaz:
https://doaj.org/article/ce94791ad561443485711062387b9523
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1924 (2024)
The real-time tracking of moving objects has extensive applications in various domains. Existing tracking methods typically utilize video image processing, but their performance is limited due to the high information throughput and computational requ
Externí odkaz:
https://doaj.org/article/4d5b1dbd369e4db6ab8346c840fa6042
Publikováno v:
IET Image Processing, Vol 16, Iss 13, Pp 3507-3517 (2022)
Abstract Long‐distance imaging is generally blurry and warped due to the presence of atmospheric turbulence, which harms the performance of the photoelectric system. Among these, real‐time restoration based on a single turbulence‐degraded image
Externí odkaz:
https://doaj.org/article/65ea3383001c479d8018cf9e03dd82cc
Autor:
Dongfeng, Shi, Jiamin, Zhang, Jian, Huang, Yingjian, Wang, Kee, Yuan, Kaifa, Cao, Chenbo, Xie, Dong, Liu, Wenyue, Zhu
A novel technique for polarization-multiplexing ghost imaging is proposed to simultaneously obtain multiple polarimetric information by a single detector. Here, polarization-division multiplexing speckles are employed for object illumination. The lig
Externí odkaz:
http://arxiv.org/abs/1707.03104
Publikováno v:
Intelligent Computing, Vol 2 (2023)
The majority of edge detection methods are applied after the capture of object photos. Thus, edge detection quality suffers when disturbances occur during imaging. This work proposes an effective edge detection technique for single-pixel imaging (SI)
Externí odkaz:
https://doaj.org/article/222a8873bed94d2b91007b1094a6d1f5
Publikováno v:
Photonics, Vol 10, Iss 9, p 970 (2023)
Single-pixel imaging lidar is a novel technology that leverages single-pixel detectors without spatial resolution and spatial light modulators to capture images by reconstruction. This technique has potential imaging capability in non-visible wavelen
Externí odkaz:
https://doaj.org/article/d6044071b1294e5f8f66612186e95eb9