• DocumentCode
    3038236
  • Title

    Multiresolution using multisplines for image compression

  • Author

    Moni, Shankar ; Kashyap, R.L.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    608
  • Abstract
    A recent method of performing multiresolution analysis is the multispline approach. We extend that idea to two-dimensional functions and perform image compression. In doing so, we propose using a “web” rather than a tree to index the dilates and translates of the basis functions. The advantage is that this offers a richer choice of basis functions at each stage. We include experimental results that compare the performance of our algorithm to the DCT and wavelet methods
  • Keywords
    data compression; image coding; image resolution; splines (mathematics); basis functions; dilates; image compression; multiresolution analysis; multispline approach; performance; translates; two-dimensional functions; web; Costs; Discrete cosine transforms; Image coding; Image quality; Image resolution; Multimedia databases; Multiresolution analysis; Performance analysis; Spatial resolution; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537708
  • Filename
    537708