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Maximum a Posteriori Decoding for KMV-Cast Pseudo-Analog Video Transmission

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Abstract

The existing noise in video/image will not only reduce visual quality, but also will adversely affect the subsequent processing as compression, encoding, transmission and storage. Hence, the denoising technology for video/image is significant in the whole media industry. In this paper, a maximum a posteriori (MAP) decoding for KMV-Cast pseudo-analog video transmission has been proposed to further eliminate the residual noise in the received video/image. First, a noise decomposition model based on multidimensional plane has been proposed. Then, the residual noise in KMV-Cast scheme has been shown to obey Gaussian distribution. Finally, the estimation of the residual noise has been derived for the purpose of maximizing the PSNR of the reconstructed video/image. The simulation results have shown that the proposed decoding method has the best performance compared with other two algorithms, such as KMV-Cast and SoftCast.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant No.61631017 and No.U1733114.

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Tongji University, Shanghai, 201804, China

    Xiao-Wei Tang, Xiao-Ning Huan & Xin-Lin Huang

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  1. Xiao-Wei Tang
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  2. Xiao-Ning Huan
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  3. Xin-Lin Huang
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Correspondence to Xin-Lin Huang.

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Tang, XW., Huan, XN. & Huang, XL. Maximum a Posteriori Decoding for KMV-Cast Pseudo-Analog Video Transmission. Mobile Netw Appl 23, 318–325 (2018). https://doi.org/10.1007/s11036-017-0949-z

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  • DOI: https://doi.org/10.1007/s11036-017-0949-z

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