A hybrid scaling factor for speckle reducing anisotropic diffusion

Classical Speckle Reducing Anisotropic Diffusion (SRAD) is a noise filtering method tailored to speckle reduction in digital images. It is well known that SRAD has a tendency to produce dislocated and un-sharp edges. This property of SRAD is highly attributed to its reliance on a homogeneous image r...

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Bibliographic Details
Published in2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA) pp. 4 - 9
Main Authors Babu, Asaduzzaman, El-Sakka, Mahmoud R.
Format Conference Proceeding
LanguageEnglish
Published University of Trieste and University of Zagreb 01.09.2013
Subjects
Adaptive filters
Correlation
Image edge detection
multiplicative noise reduction
Noise
Noise reduction
scaling factor
Smoothing methods
Speckle
SRAD
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Summary:Classical Speckle Reducing Anisotropic Diffusion (SRAD) is a noise filtering method tailored to speckle reduction in digital images. It is well known that SRAD has a tendency to produce dislocated and un-sharp edges. This property of SRAD is highly attributed to its reliance on a homogeneous image region, selected initially, for a scaling factor calculation. Moreover, this scaling factor calculation strategy requires the interaction of an experienced user. To reduce the reliance on an initially selected perfect/near-perfect homogeneous region, we propose a hybrid scaling factor that reduces edge dislocation and preserves the sharpness of edges. The proposed scaling factor selection strategy uses a ratio-based edge detection technique for an estimation of the homogeneity of the initially selected region.
ISSN:1845-5921
DOI:10.1109/ISPA.2013.6703705