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Prediction with Multi-cross Component

Junru Li, Li Zhang, Kai Zhang, Hongbin Liu, Meng Wang, Shiqi Wang, Siwei Ma, Wen Gao

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    Length: 09:45
06 Jul 2020

Cross-component prediction reveals great benefits in promoting the coding efficiency by removing the inter-channel redundancies between luma and chroma components. This paper proposes a novel prediction with a multi-cross component (PMC) mode for AVS3. With the PMC mode, the Cr coding block can be predicted through an efficient linear combination of the reconstructed coding blocks regarding Y and Cb components. Moreover, to release the computational burden, the linear model parameters in PMC are acquired by inheritance and reorganization. In this way, the inter-channel redundancies can be further removed, leading to reductions of the residual energies and improvement of coding performance. Experimental results on AVS3 test model HPM-5.0 verify the effectiveness of the proposed method where the PMC achieves on average 0.27%, 0.56%, and 1.10% BD-Rate savings for Y, Cb, and Cr components under all intra configuration. Moreover, the PMC brings 0.12%, 0.44% and 1.00% BD-Rate gains for Y, Cb, and Cr components under random access configuration. The variations of encoding and decoding time are negligible. Owing to the substantial gains regarding the compression efficiency, and low operational complexity, the PMC has been adopted to AVS3 standard.

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