Adaptive loop filter (ALF) is a newly introduced technique for high-d efinition multi-view video coding. Its basic idea is to estimate Wiener filter parameters at the encoder and filter the reconstructed image with them to depress coding artifacts.ALF can improve video compression in both objective qu ality and subjective performance by adopting Wiener filtering with the goal of minimizing the mean square error b etween the original frame and the coded frame.However,the high computation complexity prevents it from the real -time application.Therefore,a low complexity algorithm is proposed to speed up the process of ALF.The basic i dea of the method is to exploit inter-view correlation and inter-layer correlation to reduce the cumbersome pr ocess.We not only narrow down the maximum division depth candidates of the chrominance component and luminance com ponent for every frame, but also adaptively terminate the process of deciding block control (DBC) of mos t frames in advance.Simulation results show that the proposed method can achieve the encoding time saving up to about 61% for ALF compared with the HEVC-based test model (i.e.,HTM 6.1) witho ut significant loss of encoding performance.Therefore,our algorithm can achieve a better tradeoff between coding efficiency and the ALF co mplexity,and well improve the performance of ALF.