Title : 
Efficient subtree splitting algorithm for wavelet-based fractal image coding
         
        
            Author : 
Po, L.M. ; Zhang, Y. ; Cheung, K.W. ; Cheung, C.H.
         
        
            Author_Institution : 
CityU Image Process. Lab., City Univ. of Hong Kong, Hong Kong
         
        
        
        
            fDate : 
31 May-3 Jun 1998
         
        
        
            Abstract : 
In this paper, a novel wavelet subtree splitting algorithm is proposed, which divides a subtree into scalar quantized wavelet coefficients and fractal coded sub-subtree. Based on this new technique, a variable size wavelet subtree fractal coding scheme for still image compression is developed. Experimental results show that the new scheme can achieve nearly optimal partition of wavelet subtree with substantially computational reduction as compared with Davis´ scheme
         
        
            Keywords : 
computational complexity; fractals; image coding; trees (mathematics); wavelet transforms; fractal coded sub-subtree; optimal partition; scalar quantized wavelet coefficients; still image compression; substantially computational reduction; subtree splitting algorithm; wavelet subtree splitting algorithm; wavelet-based fractal image coding; Data structures; Fractals; Frequency; Image coding; Image processing; Partitioning algorithms; Process planning; Spatial resolution; Wavelet coefficients; Wavelet domain;
         
        
        
        
            Conference_Titel : 
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
         
        
            Conference_Location : 
Monterey, CA
         
        
            Print_ISBN : 
0-7803-4455-3
         
        
        
            DOI : 
10.1109/ISCAS.1998.698769