Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Performance of Denoising Autoencoder for Enhancing Image in Shallow Water Acoustic Communication

천해 음향 통신에서 이미지 향상을 위한 디노이징 오토인코더의 성능 평가

  • Jeong, Hyun-Soo (Department of Information and Communications Engineering, Pukyong National University) ;
  • Lee, Chae-Hui (Department of Information and Communications Engineering, Pukyong National University) ;
  • Park, Ji-Hyun (Institute of Acoustic and Vibration Engineering, Pukyong National University) ;
  • Park, Kyu-Chil (Department of Information and Communications Engineering, Pukyong National University)
  • Received : 2020.12.10
  • Accepted : 2021.01.26
  • Published : 2021.02.28
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Abstract

Underwater acoustic communication channel is influenced by environmental parameters such as multipath, background noise and scattering. Therefore, a transmitted signal is influenced by the sea surface and the sea bottom boundaries, and a received signal shows a delay spread. These factors create a noise in the image and degrade the quality of underwater acoustic communication. To solve these problems, in this paper, we evaluate the performance of an underwater acoustic communication model using a denoising auto-encoder used for unsupervised learning. Noise images generated by the underwater multipath channel were collected and used as training data. Experimental results were analyzed as a PSNR parameter that expressed the noise ratio of the two images.

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References

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