Multi-Weights Intra Prediction with Double Reference Lines
Hailang Yang, Hongkui Wang, Yamei Chen, Junhui Liang, Li Chen Yu · 2019
Conventional intra prediction applies the nearest reference line to predict the current block and improves the performance by adding more angular prediction modes. However, the performance of prediction near the bottom-right corner of the block suffers from non-negligible degradation due to the reference samples used for prediction locate at the above and left sides of the current block. Therefore, in this paper, to improve this situation, multi-weights intra prediction is proposed. Considering the coding complexity, the optimal two reference lines are picked out at first based on minimum distortion criterion. Following, the best weight combination is selected out from candidate weight combinations and is applied to predict the current block. Experimental results show that the proposed algorithm achieves 2.19% bitrate saving on average compared with the conventional intra prediction.