대한전자공학회논문지SP (Journal of the Institute of Electronics Engineers of Korea SP)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

움직임 벡터 및 보상 블록의 특성을 이용한 움직임 보상된 차영상 CVQ

Motion Compensated Difference Image CVQ Using the Characteristics of Motion Vectors and Compensated Blocks

  • 최정현 (경북대학교 전자전기공학부) ;
  • 이경환 (경북대학교 전자전기공학부) ;
  • 이법기 (경북대학교 전자전기공학부) ;
  • 정원식 (경북대학교 전자전기공학부) ;
  • 김경규 (경북대학교 전자전기공학부) ;
  • 김덕규 (경북대학교 전자전기공학부)
  • Choi, Jung-Hyun (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Lee, Kyeong-Hwan (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Lee, Bub-Ki (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Cheong, Won-Sik (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Kim, Kyoung-Kyoo (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Kim, Duk-Gyoo (School of Electronic and Electrical Engineering, Kyungpook National University)
  • 발행 : 2000.03.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는, 움직임 벡터와 보상 블록을 이용한 분류기를 제안하고, 이 분류기로써 MCD(motion compensated difference) 블록을 CVQ(classified vector quantization)하는 새로운 MCDI(motion compensated difference image) 부호화 방법을 제안하였다. MCD 블록의 분산은 움직임 벡터의 크기뿐만 아니라 보상 블록의 분산과도 밀접한 관계가 있으므로, 이 특성들을 이용하여, 새로운 분류기를 제안하였다. 제안한 방법은 서브 코드북(sub-codebook)을 선택하는 분류기에 대한 부가 정보가 필요 없으면서, 모의 실험 결과 분류 비트가 필요한 기존의 방법에 비해 제안한 방법이 좋은 성능을 나타내었다.

In this paper, we presents a new MCDI(motion compensated difference image) coding method using CVQ(classifled vector quantization) whoes MCD(motion compensated difference) block is classified by proposed classifier using motion vector and compensated block The variance of MCD block is closely related with the magnitude of motion vector as well as the variance of compensated block, so using this property, we propose a new classifier. This scheme has no side information of the classifier what sub-codebook is selected, and simulation results show that the proposed method exhibits a good performance even when compared with a conventional method that requires classification bits.

키워드

참고문헌

  1. A. N. Netravali and J. O. Limb, 'Picture Coding A Review,' Proc of IEEE, Vol 68, No. 3, pp. 366-406, March 1980
  2. H. G. Musmann, P. Prisch, and H. J. J. Grallert, 'Advances in Picture Coding,' Proc. of IEEE, Vol. 73, No. 4, pp 523-548, Apr 1985
  3. P. Strobach, 'Tree-structured Scene Adaptive Coder,' IEEE Trans. on Communication, Vol. 38, No. 4, pp. 477-486, April 1990 https://doi.org/10.1109/26.52659
  4. R. R. Furner, R. W. Christiansen, and D. M. Chabries, 'Motion Compensated Vector Quantization,' ICASSP, pp 989-992, 1986
  5. B. Ramamuthi and A. Gersho, 'Classified Vector Quantization of Image,' IEEE Trans. on Communication, Vol. COM-34, No. 11, Nov. 1986
  6. A. N. Akansu and M. S. Kadur, 'Adaptive Vector Quantization of Video Signals with motion compensation and spatial masking,' Proc. of IEEE Int'l Symposium Circuits and Systems, pp.1378-1381, May, 1989 https://doi.org/10.1109/ISCAS.1989.100613
  7. A. N. Netravali and B. G. Haskell: Digital Pictures, Plenum, 1995
  8. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression: Kluwer Academic Publishers, 1992
  9. Y. Linde, A. Buzo, and R. M. Gray, 'An Algorithm for Vector Quantizer Design,' IEEE Trans. on Communication, Vol. COM-28, pp. 84-95, Jan 1980 https://doi.org/10.1109/TCOM.1980.1094577