Phase Congruency (PC) features are firstly introduced into image and video coding field in this paper. As an effective tool to measure the edge information for image textures, PC change can be used to evaluate the compression loss, i.e. the coding distortions in image and video coding. Firstly, the compression influences on PC maps are given and analyzed. Secondly, the relationship between the consumed bits and the PC distortion are modeled. Lastly, the Mean-Squared-Error (MSE) based and PC distortion based optimized Coding Tree Unit (CTU) level bit allocation solutions are combined as a two step bit allocation and rate control method for intra frames for High Efficiency Video Coding (HEVC). Experimental results demonstrate that, compared with the state-of-the-art JCTVC-K0103 and JCTVC-M0257 methods, for small size videos, the proposed method can achieve significant R-D performance gains, and also works well on PC map preservation, quality smoothness and bit rate accuracy.
|Title of host publication||2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings|
|Publication status||Published - 6 Feb 2017|
Bibliographical noteThis work is supported in part by the Natural Science Foundation of China under Grants 61272289, City University of Hong Kong Grant 7004418 and Hong Kong RGC General Research Fund GRF 9042038 (CityU 11205314).
- Bit allocation
- Coding distortion metric
- Edge detection
- Edge saliency detection
- High Efficiency Video Coding (HEVC)
- Intra frame coding
- Perceptual image and video coding
- Phase Congruency (PC)
- Rate control
- Rate distortion modeling
- Video coding