Comparison of the Performance of Image Enhancement Algorithm for Automatic Tracking of Optical Wireless Communication Terminal 


Vol. 48,  No. 7, pp. 775-781, Jul.  2023
10.7840/kics.2023.48.7.775


PDF
  Abstract

An imaging system capable of automatic optical alignment and tracking between terminals in OWC (Optical Wireless Communication) system was developed. Also, to overcome the detection performance limit due to the deterioration in image quality when tracking a OWC terminal located at a long distance (more than 1 km), various image enhancement algorithms were applied and compared with those performances. To this end, a training dataset consisted of target images used for tracking OWC terminal was built and a deep learning model was generated through transfer learning. For a total of 40 images collected through field experiments, the detection performance (mAP) before applying the image enhancement algorithm was 90.0%, but CLAHE (95%), FM (100%), MSR (100%), MSRCR (100%), AMSR (100%), and DehazeNet (92.5%) algorithms were found to improve target detection performance. And considering the target detection performance and processing time, it was analyzed that CLAHE is optimal for coarse tracking of OWC terminals.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

K. S. Kim, Y. S. Heo, C. I. Yeo, S. Park, H. J. Park, "Comparison of the Performance of Image Enhancement Algorithm for Automatic Tracking of Optical Wireless Communication Terminal," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 7, pp. 775-781, 2023. DOI: 10.7840/kics.2023.48.7.775.

[ACM Style]

Keo Sik Kim, Young Soon Heo, Chan Il Yeo, Siwoong Park, and Hyoung Jun Park. 2023. Comparison of the Performance of Image Enhancement Algorithm for Automatic Tracking of Optical Wireless Communication Terminal. The Journal of Korean Institute of Communications and Information Sciences, 48, 7, (2023), 775-781. DOI: 10.7840/kics.2023.48.7.775.

[KICS Style]

Keo Sik Kim, Young Soon Heo, Chan Il Yeo, Siwoong Park, Hyoung Jun Park, "Comparison of the Performance of Image Enhancement Algorithm for Automatic Tracking of Optical Wireless Communication Terminal," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 7, pp. 775-781, 7. 2023. (https://doi.org/10.7840/kics.2023.48.7.775)
Vol. 48, No. 7 Index