Novel Ultrasound Images Shot Noise Removal Algorithm Based On 2-D Wavelet Decomposition and Stable Distribution Model

Ultrasonic images are generally affected by multiplicative shot noise. This paper analyzes and models the coefficients of 2-D multiresolution wavelet decomposition of logarithmically transformed images using alpha stable distribution. We propose a new function that performs a nonlinear operation on...

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Bibliographic Details
Published in2007 1st International Conference on Bioinformatics and Biomedical Engineering Vol. 1; pp. 845 - 848
Main Author Zha, Daifeng
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2007
Subjects
Additive noise
Biomedical imaging
Discrete wavelet transforms
Filtering
Image analysis
Image recognition
Image resolution
Ultrasonic imaging
Ultrasonography
Wiener filter
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Summary:Ultrasonic images are generally affected by multiplicative shot noise. This paper analyzes and models the coefficients of 2-D multiresolution wavelet decomposition of logarithmically transformed images using alpha stable distribution. We propose a new function that performs a nonlinear operation on the data of classifying the coefficients, thus get a new noise-removal method based on multiresolution wavelet decomposition and alpha stable model.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:9781424411207
1424411203
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2007.220