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．