The Cross Component Linear Model (CCLM) is an intra prediction tool for chroma that was adopted in Versatile Video Coding (VVC) standard. It generates an intra-predictor by utilizing the linear correlation existing between the current chroma block and its co-located reconstructed luma region. However, the predictor generated by CCLM can potentially have discontinuity with its adjacent regions since it does not consider the adjacent samples during its predictor generation. So, we propose a new method called CCLM Combined with Decoder-side Intra Mode Derivation (CCDIMD) to overcome this problem. The key idea of CCDIMD is a weighted combination of the predictor generated by CCLM and the predictor generated by an intra-prediction mode inferred using the intra mode derivation process of DIMD. Our proposed method shows BDBR gains respectively of -0.02%, -1.05%, and -0.96% in Y, Cb, and Cr for 4:2:0 color format videos; -0.03%, - 0.34%, and -0.29% in Y, Cb, and Cr for 4:2:2 color format videos; and -0.10%, -0.40%, and -0.53% in Y, Cb, and Cr for 4:4:4 color format videos.
The Cross Component Linear Model (CCLM) is an intra prediction tool for chroma that was adopted in Versatile Video Coding (VVC) standard. It generates an intra-predictor by utilizing the linear correlation existing between the current chroma block and its co-located reconstructed luma region. However, the predictor generated by CCLM can potentially have discontinuity with its adjacent regions since it does not consider the adjacent samples during its predictor generation. So, we propose a new method called CCLM Combined with Decoder-side Intra Mode Derivation (CCDIMD) to overcome this problem. The key idea of CCDIMD is a weighted combination of the predictor generated by CCLM and the predictor generated by an intra-prediction mode inferred using the intra mode derivation process of DIMD. Our proposed method shows BDBR gains respectively of -0.02%, -1.05%, and -0.96% in Y, Cb, and Cr for 4:2:0 color format videos; -0.03%, - 0.34%, and -0.29% in Y, Cb, and Cr for 4:2:2 color format videos; and -0.10%, -0.40%, and -0.53% in Y, Cb, and Cr for 4:4:4 color format videos.
In this paper, we propose a new coding method, called combined CCLM and intra prediction (CCIP) to improve the prediction efficiency of the cross component linear model (CCLM) in versatile video coding (VVC) standard for chroma. While the CCLM technique in VVC can use the linear correlation between the current chroma block and its co-located reconstructed luma region, it cannot take into account the correlation existing between the current chroma block and its adjacent chroma blocks in prediction. The proposed CCIP overcomes this shortcoming by combining two predictors, respectively, generated by conventional CCLM models and by intra prediction using its spatial chroma reference sample. Our experimental results show BDBR of 0.06% in Y component, -0.60% in Cb, and -0.54% in Cr in 4:2:0 color format, and -0.09% in Y component, -0.33% in Cb, -0.42% in Cr in 4:4:4 color format.
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