Title : 
Perceptual Wiener filtering for image restoration
         
        
            Author : 
Chen, Hong ; Ford, Gary E.
         
        
            Author_Institution : 
CIPIC, California Univ., Davis, CA, USA
         
        
        
        
            fDate : 
31 Oct-2 Nov 1994
         
        
        
            Abstract : 
Proposes a perceptual Wiener filter for image restoration, a linear space-variant filter which accounts for the human visual system response to image details and noise in the vicinity of an edge. This filter provides a reduction in the ringing artifact observed in the vicinity of edges, when compared to the response of the widely used linear space-invariant classical Wiener filter. A fast, approximate implementation of the filter is discussed
         
        
            Keywords : 
Wiener filters; edge detection; image restoration; interference suppression; approximate implementation; edge; human visual system response; image details; image restoration; linear space-variant filter; noise; perceptual Wiener filtering; ringing artifact; Additive noise; Degradation; Filtering; Gaussian noise; Humans; Image processing; Image restoration; Nonlinear filters; Postal services; Wiener filter;
         
        
        
        
            Conference_Titel : 
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
         
        
            Conference_Location : 
Pacific Grove, CA
         
        
        
            Print_ISBN : 
0-8186-6405-3
         
        
        
            DOI : 
10.1109/ACSSC.1994.471448