• DocumentCode
    2615698
  • Title

    Subband VPIC with classified joint vector quantization

  • Author

    Chan, K.W. ; Chan, K.L.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    383
  • Abstract
    Subband coding (SBC) was combined with visual pattern image coding (VPIC) to eliminate the blockiness and reduce the jagged edge artifact. A new set of 2×2 patterns was designed to code the highly compacted subband signals. The MSEs are significantly reduced by coding only the lowest frequency band. By making use of the inter-band correlation among various subband signals, a classified joint vector quantization (CJVQ) scheme was derived for coding the high frequency and residue subbands, using the pattern index in the low frequency band (LFB) as the classifier. The PSNR is further enhanced by up to 1.7 dB with less than a 8% decrease in the compression ratio
  • Keywords
    coding errors; correlation methods; decoding; image classification; image coding; vector quantisation; visual perception; MSE; PSNR; classified joint vector quantization; compression ratio; decoding; edge artifact reduction; high frequency subbands; interband correlation; low frequency band; pattern index; residue subbands; subband VPIC; subband signals; Arithmetic; Decoding; Distortion measurement; Filters; Frequency; Hardware; Image coding; Signal analysis; Signal synthesis; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560511
  • Filename
    560511