CCIP: combined CCLM and intra prediction

Jeehwan Lee; Bumyoon Kim; Byeungwoo Jeon

doi:10.1117/12.2624328

30 April 2022 CCIP: combined CCLM and intra prediction

Jeehwan Lee, Bumyoon Kim, Byeungwoo Jeon

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771A (2022) https://doi.org/10.1117/12.2624328
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

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.

Citation Download Citation

Jeehwan Lee, Bumyoon Kim, and Byeungwoo Jeon "CCIP: combined CCLM and intra prediction", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771A (30 April 2022); https://doi.org/10.1117/12.2624328

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