Towards efficient intra prediction based on image inpainting methods

In this paper, novel intra prediction methods based on image inpainting approaches are proposed. The H.264/AVC intra prediction modes are not well suited for processing complex textures at low bit rates. Our algorithm utilizes an efficient combination of partial differential equations (PDEs) and patch-based texture synthesis in addition to the standard directional predictors. Bit rate savings up to 3.5% compared to that of the H.264/AVC standard are shown.

[1]  Itu-T and Iso Iec Jtc Advanced video coding for generic audiovisual services , 2010 .

[2]  Patrick Pérez,et al.  Region filling and object removal by exemplar-based image inpainting , 2004, IEEE Transactions on Image Processing.

[3]  Thiow Keng Tan,et al.  Intra Prediction by Averaged Template Matching Predictors , 2007, 2007 4th IEEE Consumer Communications and Networking Conference.

[4]  Thiow Keng Tan,et al.  Intra Prediction by Template Matching , 2006, 2006 International Conference on Image Processing.

[5]  Guillermo Sapiro,et al.  Image inpainting , 2000, SIGGRAPH.

[6]  Thomas Wiegand,et al.  Automatic Structure-Aware Inpainting for Complex Image Content , 2008, ISVC.

[7]  Dong Liu,et al.  Edge-Oriented Uniform Intra Prediction , 2008, IEEE Transactions on Image Processing.

[8]  Mohammad Sadegh Helfroush,et al.  Image compression based on spatial redundancy removal and image inpainting , 2010, Journal of Zhejiang University SCIENCE C.

[9]  Yi Guo,et al.  Priority-based template matching intra prediction , 2008, 2008 IEEE International Conference on Multimedia and Expo.