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为了进一步提高基于块与四叉树的自适应环路滤波算法(BQ ALF)的编码性能,提出了最优对称性的快速自适应环路滤波算法(FALF OS).首先根据区域对称性和平均绝对差值门限确定最优的对称性滤波器;然后在I帧中按照基于块与四叉树的方法得到需要滤波的区域,在P或B帧中利用运动矢量、运动估计和率失真模型A(RDOA)得到需要滤波的区域;最后采用得到的最优对称性滤波器对这些区域进行滤波.仿真结果表明,与BQ ALF算法相比,所提出的算法在保证重建图像质量的同时,编码时间大幅度下降.
In order to further improve the coding performance of the block-quadtree adaptive loop filter (BQ ALF) algorithm, a fast adaptive loop filter (FALF OS) with optimal symmetry is proposed.First, according to the regional symmetry and average The absolute difference threshold to determine the optimal symmetry filter; and then in the I frame in accordance with the method based on block and quadtree get the area to be filtered in the P or B frame using motion vector, motion estimation and rate distortion model A (RDOA) to obtain the region to be filtered, and finally filtered by using the optimal symmetric filter.The simulation results show that compared with the BQ ALF algorithm, the proposed algorithm, while ensuring the quality of reconstructed image, Dropped significantly.