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

fYear

2012

fDate

25-30 March 2012

Firstpage

1217

Lastpage

1220

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288107

Filename

6288107