Texture and Correlation Based Fast Intra Prediction Algorithm for HEVC

Abstract

As the newest video coding standard, HEVC adopts plenty of state-of-art techniques to improve the coding efficiency. Thus its performance is better than that of all the existing standards. However, these modifications also generate huge computational complexity. To solve this problem, we proposed two fast intra prediction algorithms. By judging the texture complexity of coding unit (CU), a fast CU size decision algorithm can remove some unnecessary CU sizes. Besides, based on the statistic character of intra prediction modes and the correlation of adjacent CUs, a fast intra prediction mode decision algorithm can directly select the optimal intra prediction mode or remove some candidate modes. Compared with the exhaustive intra mode decision method in HEVC, our fast algorithms can effectively save the coding time, while the decrease of coding quality is negligible.