A Motion Adaptive Deinterlacing Method Based on Human Visual System

摘要：

Based on the analysis of conventional deinterlacing methods, a new motion adaptive deinterlacing method is proposed. In this paper, we improve three aspects of the conventional motion adaptive method. Firstly, we add a FIR filter to the motion detection part, which not only avoids the wrong detecting of moving objects but also reduces the noises effectively. Secondly, according to the fact, that human eyes are less sensitive to lighter or darker area than gray area, a threshold adaptive method is introduced, which enhanced the subjective quality of deinterlacing. Thirdly, we adopted different interpolation methods for different pixels, which improved the deinterlacing quality of motionless videos. The simulation results show that our proposed deinterlacing method can achieve higher PSNR (peak signal noise ratio) than that of previous studies and can also attain better quality of subjective view.

关键词： Human Visual System Threshold Adaptive Motion Adaptive Deinterlacing

作者: Zhiyong Pang Dongwei Lei Dihu Chen Hongzhou Tan

作者单位: School of Information Science and Technology,Sun Yat Sen University Guangzhou, China 510275

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 350-354

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）