• DocumentCode
    351377
  • Title

    Image compression using fuzzy subband decomposition

  • Author

    Agaian, Sos ; Choi, David S. ; Noonan, Joseph

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., San Antonio, TX, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    894
  • Abstract
    At low bit rates, the linear subband coders are susceptible to the ringing effect, which causes rippling and blurring around the edges in the images. On the other hand, the nonlinear coders are affected by the smearing effect wherein the detail regions are removed. In this paper, we introduce fuzzy subband coding system. This system uses fuzzy median filters in the analysis and synthesis stage of the coder. The motivation for this study is to determine if this novel system can reduce both ringing and smearing effect. Experimental results show that this new subband coder does out-perform linear and median filter subband coders, both in PSNR and visually
  • Keywords
    data compression; filtering theory; fuzzy set theory; image coding; median filters; edge blurring; fuzzy median filters; fuzzy subband coding; image compression; nonlinear subband decomposition; ringing effect; smearing effect; Bit rate; Equations; Filter bank; Fuzzy sets; Fuzzy systems; Image coding; Nonlinear distortion; Nonlinear filters; PSNR; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5877-5
  • Type

    conf

  • DOI
    10.1109/FUZZY.2000.839150
  • Filename
    839150