Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지
DOI QR코드

DOI QR Code

A Motion Adaptive Deinterlacing Algorithm Using Improved Motion Detection

향상된 움직임 탐색 기법을 적용한 움직임 적응적 디인터레이싱 알고리듬

  • Yun, Janghyeok (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Jeon, Gwanggil (Department of Embedded Systems Engineering, University of Incheon) ;
  • Jeong, Jechang (Department of Electronics and Computer Engineering, Hanyang University)
  • 윤장혁 (한양대학교 전자컴퓨터통신공학과) ;
  • 전광길 (인천대학교 임베디드시스템공학과) ;
  • 정제창 (한양대학교 전자컴퓨터통신공학과)
  • Received : 2013.01.04
  • Accepted : 2013.03.12
  • Published : 2013.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a motion adaptive deinterlacing algorithm is proposed. It consists of three parts: (1) modified edge-based line average, (2) pixel-based consequent five-field motion detection, and (3) block-based local characteristic for detecting true motion and calculating the motion intensity by using an improved method which is able to detect the inner part of moving objects precisely as well as to reduce the risk of false detection caused by intrinsic noises in the image. Depending on the detected motion activity level, it combines spatial and temporal methods with weighting factor. Simulations conducted on several video sequences indicate that the performance of the proposed method is superior to the conventional methods in terms of both subjective and objective video quality.

이 논문에서는 향상된 움직임 적응적 디인터레이싱 알고리듬을 제안한다. 정확한 움직임 정보탐색을 위하여 세 가지 부분으로 구성된다 : (1) Modified Edge-based Line Average(MELA) 기법, (2) 연속된 5개의 필드에서의 움직임 탐색, 그리고 (3) 블록기반의 지역적 특성을 포함한다. 움직임 검출부분에서는 FIR 필터를 이용한다. 이것은 물체의 움직임의 내부를 정확하게 탐색 할 뿐만 아니라, 영상에 포함된 잡음도 줄일 수 있는 향상된 기법을 이용함으로써 계산 할 수 있다. 검출된 움직임의 정도에 따라서 가중치를 구하여 공간적 기법과 시간적 기법을 결합시킨다. 제안된 방법의 영상 시퀀스에 대한 실험 결과는 기존의 방법들에 비하여 주관적, 객관적인 비교에서 우수함을 보여준다.

Keywords

References

  1. K. Jack, Video Demystified -A Handbook for the Digital Engineer (4th ed. JordanHill, Oxford: Elsevier, 2005).
  2. G. De Haan, Television display processing: past & future, Proc. IEEE ICCE'07, Las vegas, NV, Jan. 10-14, 2007, 1-2.
  3. S. H. Keller, F. Lauze, & M. Nielsen, Deinterlacing using variational methods, IEEE Trans. Image Processing, 17(11), 2008, 2015-2028. https://doi.org/10.1109/TIP.2008.2003394
  4. C. J. Kuo, C. Liao, & C. C. Lin, Adaptive interpolation technique for scanning rate conversion, IEEE Trans. Circuits and System. Video Technology, 6(3), 1996, 317-321. https://doi.org/10.1109/76.499841
  5. T. Chen, H. R. Wu, & Z. H. Yu, Efficient deinterlacing algorithm using edge-based line average interpolation, SPIE Optical Engineering, 39(8), 2000, 2101-2105. https://doi.org/10.1117/1.1305262
  6. W. Kim, S. Jin, & J. Jeong, Novel intra deinterlacing algorithm using content adaptive interpolation, IEEE Trans. Consumer Electronics, 53(3), 2007, 1036-1043. https://doi.org/10.1109/TCE.2007.4341583
  7. US Patent #5621470, Maher A. Sid-Ahmed, Interpixel and interframe interpolation of television pictures with conversion from interlaced, Apr 15, 1997.
  8. M. Zhao & G. de Haan, Content adaptive vertical temporal filtering for de-interlacing, Proc. of the 9th International Symposium on Consumer electronics, June 2005, 69-73.
  9. Z. Pang, D. Lei, D. Chen & H. Tan, A motion adaptive deinterlacing method based on human visual system, Proc. 4th International Congress on Image and Signal Processing(CISP), 2011, 340-344.
  10. K. Lee, J. Lee & C. Lee, Deinterlacing with motion adaptive vertical temporal filtering, IEEE Trans. Consumer Electronics, 55(2), 2009, 636-643. https://doi.org/10.1109/TCE.2009.5174433
  11. Y. -L. Chang, S. -F. Lin, C. -Y. Chen, & L. G. Chen, Video de-interlacing by adaptive 4-field global/local motion compensated approach, IEEE Trans. Circuits and System for Video Technology, 15(12), 2005, 1569-1582. https://doi.org/10.1109/TCSVT.2005.858746
  12. Y. Shen, D. Zhang, Y. Zhang, & J. Li, Motion adaptive deinterlacing of video data with texture detection, IEEE Trans. Consumer Electronics, 52(4), 2006, 1403-1408. https://doi.org/10.1109/TCE.2006.273163
  13. E. B. Bellers & G. de Haan, Advanced motion estimation and motion compensated de-interlacing, Proc. Int. Workshop HDTV, Los Angeles, CA, Oct. 1996.
  14. Y. -Y. Jung, B. -T. Choi, Y. -J. Park & S. -J. Ko, An effective de-interlacing technique using motion compensated interpolation, IEEE Trans. Consumer Electronics, 46(3) 2001, 260-266.
  15. Hyo-Sub Oh, Yoon Kim, You-Young Jung, Aldo W. Morales and Sung-jea Ko, "Spatio-temporal edge-based median filtering for deinterlacing," IEEE International Conference on Consumer Electronics, pp.52-53, 2000.