Hybrid transform for HEVC-based lossless coding

The High Efficiency Video Coding (HEVC) with the transform bypass mode is simple but inefficient for lossless coding. For this reason, we propose a novel transform to further eliminate the redundancy between residues of different blocks in intra prediction. Dependent on intra prediction modes, the proposed transform is adaptable to exploit correlations of residues formed by different modes. In order to accurately obtain parameters of the transform matrix, an approach similar to the Wiener filtering method is adopted. Experimental results show that on top of the lossless coding mode in HEVC, our method offers the performance with a 7.4% bit-rate reduction on average for All Intra Main configuration. Compared with other representative algorithms, our proposal still shows an improvement in the compression ratio, without substantial increases of computational complexity in the encoder or decoder.

[1]  F. Bossen,et al.  Common test conditions and software reference configurations , 2010 .

[2]  Gary J. Sullivan,et al.  Overview of the High Efficiency Video Coding (HEVC) Standard , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Wen Gao,et al.  HEVC Lossless Coding and Improvements , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[5]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..

[6]  Gary J. Sullivan,et al.  Improved lossless intra coding for H.264/MPEG-4 AVC , 2006, IEEE Transactions on Image Processing.

[7]  Seishi Takamura,et al.  H.264-based lossless video coding using adaptive transforms , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[8]  Yongdong Zhang,et al.  High Efficiency Video Coding: High Efficiency Video Coding , 2014 .