针对单向分布式视频编码(UDVC)，文中提出了迭代相关性噪声细化方法． 在迭 代解码过程中，利用上次解码的重构系数对相关性噪声进行细化，提高相关性噪声的估计 精度，并且在细化过程中根据系数的解码可靠性对残差进行分类加权细化来避免错误解 码系数对细化的误导． 实验结果表明，经过相关性噪声细化后，重构帧中由于码率欠估计 导致的质量退化问题得到了明显的改善，不同视频序列重构 WZ 帧的平均峰值信噪比 (PSNＲ)可以提高 0． 32 ～0． 13dB;和未细化的单向 DVC 相比，文中基于相关性噪声细化 的单向 DVC 系统的整体平均 PSNR 也提高了约 0． 21dB．

An iterative correlation noise refinement (CNR) method was proposed for unidirectional distributed video coding (UDVC)． In the iterative decoding process，the correlation noise was refined by using the previously reconstructed coefficients to improve the accuracy of correlation noise modeling． During the refinement，the correla- tion noise residuals were classified according to the decoding reliability and weighted refined respectively in order to avoid misleading refinement caused by wrongly decoded coefficients． Experimental results show that the reconstruc- tion quality is greatly improved after CNR． The average peak signal-to-noise ratio (PSNR) of reconstructed WZ frames from different video sequences is improved by 0. 32 ～ 0. 13 dB． Compared with UDVC without CNR，the average PSNR of the proposed UDVC with CNR is improved by 0. 21dB．