Sample-based VVC Lossless Intra Gradient Prediction Algorithm
In order to further improve the performance of VC lossless intra coding,this paper improves on the BDPCM coding tool by utilizing the relationships between samples and proposes a sample-based gradient prediction(SGP)algo-rithm.In this algorithm,the prediction samples are obtained from adjacent reference samples in the corresponding predic-tion direction and the gradient information between the reference samples,and the obtained prediction samples are limited to a certain range.The experimental results on the VVC test model(VTM)12.3 reveal that the proposed SGP algorithm can save 5.30％bit-rate on average in VVC lossless intra coding.The encoding time is increased by 17.7％,and the decoding time is decreased by 19.5％.Compared to BDPCM,which achieves 3.88％average bit-rate savings,the bit-rate savings brought by SGP are significantly improved,and the encoding time and the decoding time are both shorter.
image codinglossless compressionintra predictiongradient predictionversatile video coding(WC)
万方数据
维普
