DocumentCode :
2417270
Title :
Fuzzy Image Sharpening of Historical Prints
Author :
Wirth, Michael A. ; Nikitenko, Dennis
Author_Institution :
Univ. of Guelph, Guelph
fYear :
0
fDate :
0-0 0
Firstpage :
969
Lastpage :
976
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681828
Filename :
1681828
Link To Document :
بازگشت