• DocumentCode
    1011495
  • 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
  • Volume
    52
  • Issue
    2
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    712
  • Lastpage
    717
  • 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;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2006.1649702
  • Filename
    1649702