• DocumentCode
    2039012
  • Title

    Multi-layer image compression algorithm for e-commerce

  • Author

    Kounchev, Ruimen ; Kouncheva, Rumiana ; Rubin, Stuart H. ; Milanova, Mariofanna

  • Author_Institution
    Lab. of Image Process., Tech. Univ. of Sofia, Bulgaria
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Abstract
    A new method for pyramidal image decomposition called inverse is presented. This method permits to obtain first low resolution components while mainly concentrating image energy in these first components. Each one of its components is defined on the basis of approximating models representing the so called oriented surfaces of second degree, which constitute the different levels of the corresponding difference pyramid in the image space with minimum mean-square error (MSE). The inverse pyramidal decomposition (IPD) is compared to the pyramidal structures based on the well-known Laplacian pyramid and to the related reduced pyramids
  • Keywords
    data compression; electronic commerce; image coding; difference pyramid; e-commerce; inverse pyramidal decomposition; low resolution components; minimum mean square error; multilayer image compression algorithm; oriented surfaces; pyramidal image decomposition; Business; Computer science; Image coding; Image processing; Image quality; Image restoration; Laboratories; Military computing; USA Councils; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.972945
  • Filename
    972945