Title :
Intra prediction with enhanced inpainting method and vector predictor for HEVC
Author :
Qi, Xingli ; Zhang, Teng ; Ye, Feng ; Men, Aidong ; Yang, Bo
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
As the successor to H.264/AVC, High Efficiency Video Coding (HEVC) will provide 50% reduction on compression data compared to H.264/AVC. In this paper, we propose an intra prediction method based on inpainting algorithms and vector predictor for HEVC. Our method utilizes a combination of two important inpainting algorithms: Laplace partial differential equation (PDE) and total variation (TV) model. Experiment results show that, compared to HEVC Test Model (HM) 2.0, our proposal achieves an average of 1.65% bitrate reduction.
Keywords :
data compression; partial differential equations; video coding; H.264/AVC; HEVC test model 2.0; Laplace partial differential equation; compression data; enhanced inpainting method; high efficiency video coding; intra prediction method; total variation model; vector predictor; Mathematical model; Prediction algorithms; Predictive models; Proposals; TV; Vectors; Video coding; HEVC; Inpainting; Intra prediction; TV model;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288107
