DocumentCode :
2852059
Title :
Comparative study of unsharp masking methods for image enhancement
Author :
Badamchizadeh, M.A. ; Aghagolzadeh, A.
Author_Institution :
Islamic Azad Univ., Iran
fYear :
2004
fDate :
18-20 Dec. 2004
Firstpage :
27
Lastpage :
30
Abstract :
Contrast enhancement by the unsharp masking (UM) approaches are computationally and conceptually the simplest methods. In this paper, the different methods of UM for image enhancement are compared. These algorithms have been tested and compared for the same conditions. The results show that majority of these algorithms are very sensitive to the enhancement factor and are good for sharpening. This factor must be estimated recursively by considering the statistics of neighboring pixel values.
Keywords :
image enhancement; image resolution; statistical analysis; enhancement factor; image enhancement; statistical analysis; unsharp masking method; Adaptive filters; Band pass filters; Frequency; Image enhancement; Laplace equations; Noise reduction; Nonlinear filters; Polynomials; Recursive estimation; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location :
Hong Kong, China
Print_ISBN :
0-7695-2244-0
Type :
conf
DOI :
10.1109/ICIG.2004.50
Filename :
1410378
Link To Document :
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