Transforms for intra prediction residuals based on prediction inaccuracy modeling
Author(s)
Cai, Xun
Lim, Jae S
Date Issued
December 2015
Journal
Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Cai, Xun, and Jae S. Lim. “Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling.” 2015 IEEE International Conference on Image Processing (ICIP), 27-30 September, 2015, Quebec City, Canada, IEEE, 2015. pp. 4401–4405.
Version
Author's final manuscript
Abstract
In intra video coding and image coding, the directional intra prediction is used to reduce spatial redundancy. Intra prediction residuals are encoded with transforms. In this paper, we develop transforms for directional intra prediction residuals. Specifically, we observe that the directional intra prediction is most effective in smooth regions and edges with a particular direction. In the ideal case, edges can be predicted fairly accurately with an accurate prediction direction. In practice, an accurate prediction direction is hard to obtain. Based on the inaccuracy of prediction direction that arises in the design of many practical video coding systems, we can estimate the residual variance and propose a class of transforms based on the estimated variance function. The proposed method is evaluated by the energy compaction property. Experimental results show that with the proposed method, the same amount of energy in directional intra prediction residuals can be preserved with a significantly smaller number of transform coefficients.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICIP.2015.7351638
