Progressive transmission of images through fractal surface interpolation

Author

Dansereau, R. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

1

fYear

1998

fDate

24-28 May 1998

Firstpage

277

Abstract

This paper presents a progressive image transmission technique based on fractal surface interpolation (FSI). This technique is an extension of our previous work, and relies on the extraction and reconstruction of self-affine fractal surfaces with specified Hurst exponents, H^*. Fractional Brownian motion (fBm) through midpoint displacement (MPD) provides the basis for generating these surfaces between interpolation points. Progressive transmission is achieved by ordering increasing levels of detail within the FSI representation. This allows for quicker recognition of the transmitted or reconstructed image within the first 5 percent of the transmission process

Keywords

Brownian motion; data compression; feature extraction; image coding; image recognition; image reconstruction; interpolation; visual communication; FSI representation; Hurst exponents; feature extraction; fractal surface interpolation; fractional Brownian motion; image compression; image recognition; image reconstruction; midpoint displacement; progressive image transmission; self-affine fractal surfaces; transmitted image; Brownian motion; Data compression; Fractals; Image coding; Image communication; Image recognition; Image reconstruction; Interpolation; Laboratories; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1998. IEEE Canadian Conference on

Conference_Location

Waterloo, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-4314-X

Type

conf

DOI

10.1109/CCECE.1998.682736

Filename

682736