Motion adaptive deinterlacing with accurate motion detection and anti-aliasing interpolation filter

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.

[1]  Rob A. Beuker,et al.  Analysis of interlaced video signals and its applications , 1994, IEEE Trans. Image Process..

[2]  M. L. Liou,et al.  Reliable motion detection/compensation for interlaced sequences and its applications to deinterlacing , 2000, IEEE Trans. Circuits Syst. Video Technol..

[3]  Xinbo Gao,et al.  De-interlacing algorithms based on motion compensation , 2005, IEEE Trans. Consumer Electron..

[4]  H. Derovanessian,et al.  Grand Alliance HDTV multi-format scan converter , 1995 .

[5]  Liang-Gee Chen,et al.  Video de-interlacing by adaptive 4-field global/local motion compensated approach , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Dong-Ho Lee,et al.  A motion-adaptive de-interlacing method using an efficient spatial and temporal interpolation , 2003, IEEE Trans. Consumer Electron..

[7]  Seungjoon Yang,et al.  An effective de-interlacing technique using two types of motion information , 2003, IEEE Trans. Consumer Electron..

[8]  Erwin B. Bellers,et al.  Deinterlacing-an overview , 1998, Proc. IEEE.

[9]  오승준 [서평]「Digital Video Processing」 , 1996 .

[10]  Graham Thomas A comparison of motion-compensated interlace-to-progressive conversion methods , 1998, Signal Process. Image Commun..

[11]  Demin Wang,et al.  Hybrid de-interlacing algorithm based on motion vector reliability , 2005, IEEE Transactions on Circuits and Systems for Video Technology.