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