DocumentCode
3060683
Title
Combining pyramidal and fractal image coding
Author
Kropatsch, Walter G. ; Neuhauser, Michael A. ; Leitgeb, Irene J. ; Bischof, Horst
Author_Institution
Dept. for Pattern Recognition & Image Process., Inst. for Autom., Tech. Univ., Vienna, Austria
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
61
Lastpage
64
Abstract
Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method published to derive an iterated function system directly from a given image. This is known as the inverse problem. The authors introduce discrete transformations and direct computation of a discrete attractor with deterministic noniterative algorithms. This results in an essential saving of time. Furthermore they present a solution of the inverse problem in the one dimensional discrete space
Keywords
fractals; image coding; image processing; inverse problems; iterative methods; 1D discrete space; deterministic noniterative algorithms; discrete attractor; discrete transformations; image processing; inverse problem; iterated function systems; pyramidal-fractal image coding; Automation; Extraterrestrial measurements; Fractals; Image coding; Image generation; Image processing; Image recognition; Inverse problems; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.201928
Filename
201928
Link To Document