Title :
Motion adaptive deinterlacing with accurate motion detection and anti-aliasing interpolation filter
Author :
Yu, Lejun ; Li, Jintao ; Zhang, Yongdong ; Shen, Yanfei
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
fDate :
5/1/2006 12:00:00 AM
Abstract :
Both the motion-detection and infra-field interpolation filter are important factors affect the efficiency of motion adaptive de-interlacing. New accurate motion detection (AMD) algorithm is proposed to improve the accuracy of motion detection, which reduces the possibility of error motion detection with a median filter. To improve the efficiency of intra-field interpolation deinterlacing in moving regions, an anti-aliasing interpolation filter (AAIF) is proposed, which is better than the typical windowed sine function. The simulation results show that peak signal noise ratio (PSNR) of our proposed deinterlacing method is 0.5-7.5 dB higher than that of previous studies and attains the best quality of subjective view.
Keywords :
filtering theory; image motion analysis; median filters; object detection; accurate motion detection algorithm; antialiasing interpolation filter; median filter; motion adaptive deinterlacing; peak signal noise ratio; windowed sine function; Adaptive filters; Bandwidth; Computational complexity; Frequency; Interpolation; Motion detection; Multimedia communication; PSNR; TV broadcasting; Wiener filter;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2006.1649702