Title : 
A morphological subband decomposition structure using GF(N) arithmetic
         
        
            Author : 
Gürcan, Metin Nafi ; Gerek, Ömer N. ; Çetin, A. Enis
         
        
            Author_Institution : 
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
         
        
        
        
        
        
            Abstract : 
Linear filter banks with critical subsampling and perfect reconstruction (PR) property have received much interest and found numerous applications in signal and image processing. Nonlinear filter bank structures with PR and critical subsampling have been proposed and used in image coding. It is shown that PR nonlinear subband decomposition can be performed using the Galois field (GF) arithmetic. The result of the decomposition of an n-ary (e.g. 256-ary) input signal is still n-ary at different resolutions. This decomposition structure can be utilized for binary and 2k (k is an integer) level signal decompositions. Simulation studies are presented
         
        
            Keywords : 
Galois fields; band-pass filters; digital arithmetic; filtering theory; image coding; image reconstruction; image resolution; image sampling; mathematical morphology; nonlinear filters; Galois field arithmetic; binary level signal decomposition; critical subsampling; image coding; image processing; input signal decomposition; linear filter banks; morphological subband decomposition structure; nonlinear filter bank structures; nonlinear subband decomposition; perfect reconstruction; signal analysis; signal processing; signal resolution; simulation studies; Arithmetic; Filter bank; Image coding; Image reconstruction; Nonlinear equations; Nonlinear filters; Signal analysis; Signal processing; Signal resolution; Wavelet transforms;
         
        
        
        
            Conference_Titel : 
Image Processing, 1996. Proceedings., International Conference on
         
        
            Conference_Location : 
Lausanne
         
        
            Print_ISBN : 
0-7803-3259-8
         
        
        
            DOI : 
10.1109/ICIP.1996.559481