Digital Image Processing

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Comparative Study of Different Denoising Algorithms for Speckle Noise Reduction in Ultrasonic B-Mode Images


Affiliations
1 Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
2 Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
3 Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
4 University of Liverpool, United Kingdom
     

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Image denoising involves processing of the image data to produce a visually high quality image. The denoising algorithms may be classified into two categories, spatial filtering algorithms (Wiener filter, Gaussian filter, Gabor filter and Median filter) and wavelet based algorithms (Wiener filter in the wavelet domain and Log Gabor filter in the wavelet domain). In this paper a comparative study for the previous mentioned algorithms based on calculating the Peak Signal to Noise Ratio (PSNR) value as a metric since for such images the visual evaluation is not appropriate. The quantitative results of comparison are tabulated by calculating the PSNR of the output image.


Keywords

PSNR, DWT.
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  • Comparative Study of Different Denoising Algorithms for Speckle Noise Reduction in Ultrasonic B-Mode Images

Abstract Views: 136  |  PDF Views: 3

Authors

A. A. Mahmoud
Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
S. EL. Rabaie
Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
T. E. Taha
Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
F. E. Abd El-Samie
Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
O. Zahran
Department of Electronics and Electrical Communications, Menoufia University, 32952, Menouf, Egypt
W. Al-Nauimy
University of Liverpool, United Kingdom

Abstract


Image denoising involves processing of the image data to produce a visually high quality image. The denoising algorithms may be classified into two categories, spatial filtering algorithms (Wiener filter, Gaussian filter, Gabor filter and Median filter) and wavelet based algorithms (Wiener filter in the wavelet domain and Log Gabor filter in the wavelet domain). In this paper a comparative study for the previous mentioned algorithms based on calculating the Peak Signal to Noise Ratio (PSNR) value as a metric since for such images the visual evaluation is not appropriate. The quantitative results of comparison are tabulated by calculating the PSNR of the output image.


Keywords


PSNR, DWT.