无反馈分布式视频编码中Wyner-Ziv帧的顽健重构算法

摘要

In no-feedback distributed video coding, a robust reconstruction algorithm for Wyner-Ziv frame was proposed. To avoid the video quality degradation caused by the bit plane decoding errors, DC coefficients and AC coefficients were reconstructed with different methods. In particular, for each failure decoded quantized DC coefficient, with the help of the correlation information from the encoder, the algorithm was able to adaptively adjust the contribution of the quantized side information and the decoded quantized DC coefficient to the reconstruction. Simulation results show that compared with the MMSE (minimum mean square error) algorithm, the proposed method can increase the average PSNR (peak signal-to-noise ratio) of reconstructed video greatly, and also yield significant improvement of the subjective video quality.%在无反馈分布式视频编码系统中,提出了一种Wyner-Ziv帧的顽健重构算法.针对比特面解码错误带来的视频质量下降问题,对DC系数和AC系数使用不同重构方法,特别是对于解码失败的DC系数量化值,利用编码端原始图像的相关信息自适应地调整边信息量化值和解码失败量化值对重构的贡献,从而完成重构.实验结果表明,与最小均方误差重构算法相比,该算法可以有效提高解码视频的平均PSNR(peak signal-to-noise ratio), 且解码视频图像的主观质量有明显改善.