Comparative study of unsharp masking methods for image enhancement

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...

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Bibliographic Details
Published inThird International Conference on Image and Graphics (ICIG'04) pp. 27 - 30
Main Authors Badamchizadeh, M.A., Aghagolzadeh, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Adaptive filters
Band pass filters
Frequency
Image enhancement
Laplace equations
Noise reduction
Nonlinear filters
Polynomials
Recursive estimation
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Summary: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.
ISBN:0769522440
9780769522449
DOI:10.1109/ICIG.2004.50