Title : 
Fuzzy Image Sharpening of Historical Prints
         
        
            Author : 
Wirth, Michael A. ; Nikitenko, Dennis
         
        
            Author_Institution : 
Univ. of Guelph, Guelph
         
        
        
        
        
        
            Abstract : 
Established methods for sharpening details in images often lead to the magnification of background noise at the expense of detail clarity. This paper applies a method of image sharpening based on fuzzy morphology which is used to enhance historical images. The algorithm is a blend of morphological analysis and fuzzy reasoning, which unlike recognized methods of sharpening such as unsharp masking, does not excessively amplify noise. The algorithm is applied to the task of enhancing acuity in historical photographs, including colour slides.
         
        
            Keywords : 
computer vision; fuzzy reasoning; history; fuzzy image sharpening; fuzzy reasoning; historical image print; morphological analysis; Algorithm design and analysis; Background noise; Colored noise; Cultural differences; Fuzzy reasoning; Fuzzy systems; Image restoration; Information science; Morphology; Optical noise;
         
        
        
        
            Conference_Titel : 
Fuzzy Systems, 2006 IEEE International Conference on
         
        
            Conference_Location : 
Vancouver, BC
         
        
            Print_ISBN : 
0-7803-9488-7
         
        
        
            DOI : 
10.1109/FUZZY.2006.1681828