Mode-Dependent Transforms for Coding Directional Intra Prediction Residuals

• Published in: IEEE transactions on circuits and systems for video technology Vol. 22; no. 4; pp. 545 - 554
• Main Authors: Chuohao Yeo, Yih Han Tan, Zhengguo Li, Rahardja, S.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.04.2012; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Coding, codes; Correlation; Covariance matrix; Encoding; Exact sciences and technology; HEVC; Image coding; Image processing; Information, signal and communications theory; Predictive models; Signal and communications theory; Signal processing; Telecommunications and information theory; Transforms; Video coding; Video coding; Performance evaluation; Image processing; Multipoint method; transforms; HEVC; Discrete sine transform; Implementation; Video signal processing; Learning; Image coding; Transform coding; Residual impurity; Gain
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2011.2168291

The use of mode-dependent transforms for coding directional intra prediction residuals has been previously shown to provide coding gains, but the transform matrices have to be derived from training. In this paper, we derive a set of separable mode-dependent transforms by using a simple separable, directional, and anisotropic image correlation model. Our analysis shows that only one additional transform, the odd type-3 discrete sine transform (ODST-3), is required for the optimal implementation of mode-dependent transforms. In addition, the four-point ODST-3 also has a structure that can be exploited to reduce the operation count of the transform operation. Experimental results show that in terms of coding efficiency, our proposed approach matches or improves upon the performance of a mode-dependent transforms approach that uses transform matrices obtained through training.