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机构地区:[1]西安电子科技大学ISN国家重点实验室,陕西西安710071
出 处:《通信学报》2012年第1期167-173,共7页Journal on Communications
基 金:国家自然科学基金资助项目(60802032);高等学校创新引智计划基金资助项目(B08038);中央高校基本科研业务费专项基金资助项目(K50511010020)~~
摘 要: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。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 sig- nal-to-noise ratio) of reconstructed video greatly, and also yield significant improvement of the subjective video quality.
关 键 词:分布式视频编码 无反馈 Wyner-Ziv帧 顽健重构
分 类 号:TN919.8[电子电信—通信与信息系统]
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