Adaptive MCTF Video Coding Based on Gauss Transition Filtering

摘要：

In this paper,a gauss.adaptive update method for lifting-based motion compensated temporal filtering is proposed to overcome structural defects of transforill coefficient.We utilize adaptive update step based on Gauss Transition Filtering to improve the lowpass frame qualitv in lifting step(Haar wavelet lifting structure).Experimental results show that the proposed scheme can significantly improve the visual quality and the PSNR performance for motion compensated temporal filtering.

关键词： Motion-compensated temporal filtering Lifting Gauss transition filtering scalable video coding

作者: Fang Zhijun Li Runwu Wang Shengqian

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1340-1343

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）