Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Image Interpolation Technique Using Lapped Transforms

Lapped Transform을 이용한 영상 보간 기법

  • Joo, Seung-Yong (School of Information, Communications and Electronics Engineering, The Catholic University of Korea) ;
  • Lee, Chang-Woo (School of Information, Communications and Electronics Engineering, The Catholic University of Korea)
  • 주승용 (가톨릭대학교 정보통신전자공학부) ;
  • 이창우 (가톨릭대학교 정보통신전자공학부)
  • Received : 2012.10.08
  • Accepted : 2012.11.20
  • Published : 2012.11.30
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Abstract

Various image interpolation methods have been proposed to increase the resolution of images and accuracy of motion estimation of video, and the interpolation filters are used in H.264/AVC and HEVC standards. In this paper, we propose an efficient image interpolation method using lapped transforms. The relation between the resizing and interpolation of images is used in the proposed method, and the complexity is significantly reduced, while the performance of the proposed method is almost the same as conventional methods.

영상 신호의 해상도를 증가시키거나 움직임 추정의 정확성을 향상시키기 위하여 다양한 보간 기법이 제안되었는데 H.264/AVC와 HEVC 동영상 부호화 표준 기법에서는 움직임 추정의 정확성을 높이기 위해서 보간 필터를 사용하여 1/2 혹은 1/4 단위의 부화소를 생성한다. 본 논문에서는 1/2과 1/4 단위의 부화소 보간을 위하여 lapped transform을 이용한 효율적인 보간 기법을 제안한다. 제안하는 기법은 영상의 크기 변환과 보간과의 관계를 이용하여 부화소를 효율적으로 보간하는 기법인데 H.264/AVC와 HEVC에서 사용되는 보간 필터와 비교하였을 때 비슷한 성능을 보이면서 계산량을 크게 줄임을 보인다.

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References

  1. G. J. Sullivan, G. Bjontegaard and A. Lutra, "Overview of the H.264/AVC video coding standard," IEEE Trans. Circuit Syst. Video Technol., vol. 13, no. 7, pp. 560-576, July 2003. https://doi.org/10.1109/TCSVT.2003.815165
  2. K. McCann et al., "Samsung's response to the call for proposals on video compression technology," JCTVC-A124, Apr. 2010.
  3. R. Dugad and N. Ahuja, "A fast scheme for image size change in the compressed domain," IEEE Trans. Circuit Syst. Video Technol., vol.11, no. 4, pp. 461-474, Apr. 2001. https://doi.org/10.1109/76.915353
  4. C. W. Lee, "General methods for L/M-fold resizing of compressed images using lapped transforms," IET Image Process., vol. 1, no. 3, pp. 295-303, September. 2007. https://doi.org/10.1049/iet-ipr:20060088
  5. T. D. Tran, "The LiftLT: Fast lapped transforms via lifting steps," IEEE Signal Processing Lett., vol. 7, pp. 145-149, June 2000. https://doi.org/10.1109/97.844634
  6. H. S. Hou, "A fast recursive algorithm for computing the discrete cosine transform," IEEE Trans. Acoust. Speech, Signal Process., vol. 35, no. 10, pp. 1455-1461, Oct. 1987. https://doi.org/10.1109/TASSP.1987.1165060