The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission
With the popularity of video conferences, video calls and other activities, video transmission has been widely used. To meet a huge number of subscribers’ requirements, the mobile video transmission scheme needs to overcome some disadvantages, such as resources limitation and noise interf...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9775691/ |
| _version_ | 1811339666231656448 |
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| author | Wanning He Xin-Lin Huang Pengfei Li |
| author_facet | Wanning He Xin-Lin Huang Pengfei Li |
| author_sort | Wanning He |
| collection | DOAJ |
| description | With the popularity of video conferences, video calls and other activities, video transmission has been widely used. To meet a huge number of subscribers’ requirements, the mobile video transmission scheme needs to overcome some disadvantages, such as resources limitation and noise interference. The knowledge-enhanced mobile video broadcasting (KMV-Cast) is a scheme utilizing joint source-channel coding and correlated information in clouds. However, there is an item of noise that cannot be removed in the original KMV-Cast scheme. In this paper, an adaptive Wiener filtering denoising algorithm is proposed to reduce such noise at the receiver in order to maximize the signal-to-noise ratio (SNR) of the reconstructed video frame. The simulation results show that the proposed Wiener filter algorithm is superior to other schemes without the Wiener filter under different sources and channel qualities. At lower-SNR channels (i.e., −5dB), the proposed algorithm achieves 2dB gains in terms of peak signal-to-noise ratio (PSNR), while at higher-SNR channels (i.e., 10dB), the proposed algorithm achieves 3dB gains in terms of PSNR. |
| first_indexed | 2024-04-13T18:30:14Z |
| format | Article |
| id | doaj.art-47f9bb154e774ba283896a475946835f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T18:30:14Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-47f9bb154e774ba283896a475946835f2022-12-22T02:35:07ZengIEEEIEEE Access2169-35362022-01-0110527605277010.1109/ACCESS.2022.31755119775691The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video TransmissionWanning He0Xin-Lin Huang1https://orcid.org/0000-0002-1098-2437Pengfei Li2Department of Information and Communication Engineering, Tongji University, Shanghai, ChinaDepartment of Information and Communication Engineering, Tongji University, Shanghai, ChinaDepartment of Information and Communication Engineering, Tongji University, Shanghai, ChinaWith the popularity of video conferences, video calls and other activities, video transmission has been widely used. To meet a huge number of subscribers’ requirements, the mobile video transmission scheme needs to overcome some disadvantages, such as resources limitation and noise interference. The knowledge-enhanced mobile video broadcasting (KMV-Cast) is a scheme utilizing joint source-channel coding and correlated information in clouds. However, there is an item of noise that cannot be removed in the original KMV-Cast scheme. In this paper, an adaptive Wiener filtering denoising algorithm is proposed to reduce such noise at the receiver in order to maximize the signal-to-noise ratio (SNR) of the reconstructed video frame. The simulation results show that the proposed Wiener filter algorithm is superior to other schemes without the Wiener filter under different sources and channel qualities. At lower-SNR channels (i.e., −5dB), the proposed algorithm achieves 2dB gains in terms of peak signal-to-noise ratio (PSNR), while at higher-SNR channels (i.e., 10dB), the proposed algorithm achieves 3dB gains in terms of PSNR.https://ieeexplore.ieee.org/document/9775691/Wireless video transmissiondenoising schemeWiener filter |
| spellingShingle | Wanning He Xin-Lin Huang Pengfei Li The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission IEEE Access Wireless video transmission denoising scheme Wiener filter |
| title | The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission |
| title_full | The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission |
| title_fullStr | The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission |
| title_full_unstemmed | The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission |
| title_short | The Wiener Filter-Based Adaptive Denoising for Pseudo Analogy Video Transmission |
| title_sort | wiener filter based adaptive denoising for pseudo analogy video transmission |
| topic | Wireless video transmission denoising scheme Wiener filter |
| url | https://ieeexplore.ieee.org/document/9775691/ |
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