Rearrangement pixel granularity template matching for lossy screen content picture intra coding

Screen Content (SC) video coding is becoming more important in screen sharing and screen broadcasting applications. There are many distinctly different characteristics between the SC video and the camera-captured video. In this paper, we propose a rearrangement pixel granularity template matching method for lossy SC intra picture coding with higher compression ratio. Firstly, the original picture will be rearranged for lossy compression and parallel processing purpose. Then every pixel is predicted with template matching method. The template matching method can achieve high prediction accuracy on SC pictures. Our proposed method improves about 4.5dB and saves 11.7% bitrate in comparison with the HEVC range extension software HM12.0+RExt4.1.