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
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2014.3742