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

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.