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
         
        
        
            fDate : 
30 Aug-3 Sep 1992
         
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICPR.1992.201928