Subband Coding of Video Signals

  • Hamid Gharavi
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 115)


In video coding applications the main objective is to remove the vast amount of redundancy which normally exists in the spatial domain (within a frame) as well as in the temporal direction (frame-to-frame). Attempts to minimize the temporal redundancies can be accomplished by interframe coding techniques [1]. In addition, many applications of high compression video coding involve the use of hybrid coding [2]. This method, which is a combination of DPCM and transform coding, is presently considered the most effective coding for video teleconferencing applications [3,4]. The main disadvantage of this method however, is the subjective degradation in which the viewers perceive the outlines of the transform blocks. This type of distortion, which appears as discontinuities at the edges of blocks, can be very objectionable to the viewer. As a result, in this Chapter we present a different approach which is not only free of block distortion but also extremely efficient in terms of compression and hardware complexity. The method is based on bandwidth splitting using quadrature mirror filtering (QMF) which has been extensively investigated in recent years for still image applications [5–14].


Motion Estimation Video Code Mean Square Difference Mean Absolute Difference Diagonal Band 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    H. M. Musmann, P. Pirsh, and H. J. Gravoert, “Advances in picturecoding” Proc. IEEE, vol. 73, April 1985, pp. 523–548.CrossRefGoogle Scholar
  2. [2]
    A. Habibi, “An adaptive strategy for hybrid image coding,” IEEE Trans. Comm., vol. COM-29, pp. 1736–1740, Dec. 1981.Google Scholar
  3. [3]
    “Video Codec for Audiovisual Services at P x 64 kb/s” draft revision of the CCITT recommendation H.261, WP XV/1 report, Part H, Dec. 1, 1989.Google Scholar
  4. [4]
    H. Gharavi, “Low-bit radio video transmission for ISDN application,” IEEE Trans. on Circuits and Systems, vol. CAS-35, No. 2, February 1988, pp. 258–261.Google Scholar
  5. [5]
    M. Vetterli, “Multi-dimensional subband coding some theory and algorithms,” Signal Processing, vol. 6, April 1984, pp. 97–112.MathSciNetCrossRefGoogle Scholar
  6. [6]
    J. W. Woods and S. O’Neil “Subband coding of images,” Proc. ICASSP’86, April 1986, pp. 1005–1008.Google Scholar
  7. [7]
    H. Gharavi and A. Tabatabai, “Subband coding of digital images using twodimensional quadrature mirror filtering,” Proc. SPIE, vol. 707, September 1986, pp. 51–61.CrossRefGoogle Scholar
  8. [8]
    J. W. Woods and S. D. O’Neil, “Subband coding of images,” IEEE Trans. ASSP, vol. 34 October 1986, pp. 1278–1288.CrossRefGoogle Scholar
  9. [9]
    H. Gharavi and A. Tabatabai, “Subband coding of monochrome and color images,” IEEE Trans. on Circuits and Systems, vol. 35, February 1988, pp. 207–214.CrossRefGoogle Scholar
  10. [10]
    H. Gharavi and A. Tabatabai, “Applications of quadrature mirror fiiltering to the coding of monochrome and color images,” Proc. ICASSP ’87, vol. 4, pp. 2384–2387.Google Scholar
  11. [11]
    H. Gharavi, “Subband coding of color images using differential vector quantization techniques,” Picture Coding Symposiurn, PCS-87, June 1987, Sweden.Google Scholar
  12. [12]
    P. H. Westerink, J. Biemond, and D. E. Boekee, “Subband coding of digital images using predictive vector quantization,” Proc. ICASSP ’87, vol. 3, pp. 1378–1381.Google Scholar
  13. [13]
    P. H. Westerink, J. Biemond, D. E. Boekee, and J. W. Woods, “Subband coding of images using vector quantization,” IEEE Trans. Gonm., vol. 36, No. 6, June 1988, pp. 713–719.CrossRefGoogle Scholar
  14. [14]
    D. LeGall and A. Tabatabai, “Subband coding of digital images using symmetric short kernel fiilters and arithmetic coding techniques,” Proc. ICASSP ’87, vol. 3, pp. 1378–1381.Google Scholar
  15. [15]
    W. F. Schreiber, C. F. Knapp, and N. D. Kay, “Synthetic highs, an experimental TV bandwidth reduction system,” Journal of the SMPTE, vol. 68, August 1959, pp. 525–537.CrossRefGoogle Scholar
  16. [16]
    R. E. Crochiere, S. A. Webber, and J. L. Flanagan, “Digital coding of speech in subbands,” Bell System Technical Journa4 BSTJ, vol. 55 October 1976, pp. 1069–1085.Google Scholar
  17. [17]
    R. E. Crochiere, “On the design of subband codes for low bit rate speech communications,” BSTJ, vol. 56 May-June 1977, pp. 747–770.Google Scholar
  18. [18]
    A. Croisier, D. Esteban, and C. Galand, “Perfect channel splitting by use of interpolation, decimation, tree decomposition techniques,” 1976 Int. Conf.. on Information Sciences/Systems, Patras, Greece.Google Scholar
  19. [19]
    D. Esteban, and C. Galand, “Application of quadrature mirror fiilters to split band voice coding schemes,” Proc. 1977 ICASSP, May 1977.Google Scholar
  20. [20]
    J. D. Johnston, “A fiilter family designed for use in quadrature mirror fiilter banks,” Proc. ICASSP ’80, pp. 291–294.Google Scholar
  21. [21]
    H. Gharavi, “Differential subband coding of video signals,” Proc. ICASSP-89, pp. 1819–1821.Google Scholar
  22. [22]
    J. W. Woods and T. Naveen, “Subband encoding of video sequence,” Proc. SPIE, Nov. 1989.Google Scholar
  23. [23]
    J. R. Jain and A. K. Jain, “Displacement measurement and its application in interframe image coding,” IEEE Comm. Trans., vol. COM-29, December 1981, pp. 1799–1808.Google Scholar
  24. [24]
    S. Kappagantula and K. R. Rao, “Motion compensated predictive coding,” SPIE, 27th Proc. 432, pp. G470, 1983.Google Scholar
  25. [25]
    C. D. Bowling and R. A. Jones, “Motion compensated image coding with a combined maximum A posteriori and regression algorithm,” IEEE Trans. Comm., vol. COM-33, Aug. 1985, pp. 844–857.Google Scholar
  26. [26]
    H. Gharavi and M. Mills, “Blockmatching motion estimation algorithms — new results,” IEEE Trans. on Circuits and Systems, May 1989, pp. 649–651.Google Scholar
  27. [27]
    T. C. Chen and P. E. Fleischer, “Subband coding for ATV signals based on spatial domain considerations,” SPIE Visual Comm. and Image Proc. 89, Philadelphia, PA, vol. 1199, paper 54.Google Scholar
  28. [28]
    R. Hunter and A. H. Robinson, “International digital facsimile coding standards,” Proc. IEEE, vol. 68, July 1980, pp. 830–46.CrossRefGoogle Scholar
  29. [29]
    A. N. Netravali, ed., special issue on Digital Encoding of Graphics, Proc. IEEE, vol. 68, July 1980.Google Scholar
  30. [30]
    W. F. Schreiber, T. S. Huang, and O. J. Tretiak, “Contour coding of images,” Conference Recor4 IRE Western Electronics Conference, August 1898.Google Scholar
  31. [31]
    M. J. T. Smith and S. L. Eddins, “Subband coding of images with octave band tree structures,” ICASSP Proc., Dallas, Texas, April 1987, pp. 1382–1385.Google Scholar
  32. [32]
    D. A. Huffman, “A method for the reconstruction of minimum redundancy codes,” Proc. IRE, vol. 40, No. 9, Sept. 1952, pp. 1098–1101.CrossRefGoogle Scholar
  33. [33]
    T. S. Huang, “Easily implementable suboptimum runlength codes,” Proc. IEEE Trans. Comm., vol. 1, June 1975, pp. 7.8–7.11.Google Scholar
  34. [34]
    H. Gharavi, “Low bit rate video for ISDN,” IEEE Trans. on Circuits and Systems, vol. CAS-35, Feb. 1988, pp. 1382–1385.Google Scholar
  35. [35]
    F. A. Kamangar and K. R. Rao, “Interfield hybrid coding of component color television signals,” IEEE Trans. Comm., vol. COM-29, Dec. 1981, pp. 1740–1753.Google Scholar
  36. [36]
    H. Gharavi, “Subband-based CCITT compatible video coding,” Proc. IEEE GLOBECOM’90, San Diego, California, Dec. 1990.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1991

Authors and Affiliations

  • Hamid Gharavi
    • 1
  1. 1.Video Systems Technology ResearchBell Communications ResearchRed BankUSA

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