DocumentCode
67120
Title
Quantum-inspired hybrid medical ultrasound images despeckling method
Author
Xiaowei Fu ; Yi Wang ; Li Chen ; Yun Dai
Author_Institution
Hubei Province Key Lab. of Intell. Inf. Process. & Real-time Ind. Syst., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume
51
Issue
4
fYear
2015
fDate
2 19 2015
Firstpage
321
Lastpage
323
Abstract
A novel medical ultrasound despeckling method combining quantum-inspired bilateral filtering and wavelet thresholding is proposed. An adaptive bilateral filter under the framework of quantum signal processing is exploited in this method and used as a pre-processing step. Then wavelet thresholding, on the assumption that the signal and noise coefficients in the wavelet domain are subject to generalised Laplace distribution and Gaussian distribution, respectively, is applied to the pre-filtered image. Experiments show that the proposed method can obtain a better speckle noise reduction performance while retaining high-contrast features such as edges.
Keywords
Gaussian distribution; Laplace equations; adaptive filters; biomedical ultrasonics; feature extraction; filtering theory; image denoising; medical image processing; speckle; ultrasonic imaging; wavelet transforms; Gaussian distribution; adaptive bilateral filter; generalised Laplace distribution; high-contrast features; noise coefficients; prefiltered image; preprocessing step; quantum signal processing; quantum-inspired bilateral filtering; quantum-inspired hybrid medical ultrasound images despeckling method; signal coefficients; speck noise reduction performance; wavelet domain; wavelet thresholding;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2014.3742
Filename
7042413
Link To Document