Research Article
Research on Denoising Method in Pseudo-analog Video Transmission
@INPROCEEDINGS{10.1007/978-3-030-98002-3_17, author={Wanning He and Xin-Lin Huang}, title={Research on Denoising Method in Pseudo-analog Video Transmission}, proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings}, proceedings_a={CROWNCOM \& WICON}, year={2022}, month={3}, keywords={Wiener filter Correlated information Wireless video transmission}, doi={10.1007/978-3-030-98002-3_17} }- Wanning He
Xin-Lin Huang
Year: 2022
Research on Denoising Method in Pseudo-analog Video Transmission
CROWNCOM & WICON
Springer
DOI: 10.1007/978-3-030-98002-3_17
Abstract
With the rapid development of mobile communication technology and the applications of 5G technology, video transmission, compared with file transmission, audio transmission and other media forms, has been more and more widely used. Today, the mobile video broadcasting needs to overcome some difficulties like the transmission noise. A knowledge-enhanced mobile video broadcasting (KMV-Cast) is a scheme utilizing joint source-channel coding and the correlated information in clouds, but in its calculation, there is still an item of noise that cannot be eliminated at the receiver side. In this paper, as same to KMV-Cast, the new scheme also exploits the hierarchical Bayesian model, the correlated information distillation in the clouds and Bayesian estimation algorithm to improve video quality. After the video reconstruction at the receiver, based on the items of the signal and the noise, selectively adds a Wiener filter to reduce the effect of noise. The simulation results show that the proposed KMV-Cast scheme with a proper Wiener filter at the receiver side is superior to that scheme without the Wiener filter and it achieves about 2 dB more of the peak signal-to-noise ratio (PSNR) gain at low-SNR channels (i.e., −10 dB) and about 1.5 dB more of PSNR gain at high-SNR channels (i.e., 10 dB).
