电子学报2011，Vol.39Issue(4)：812-818,7.
基于量子衍生参数估计的医学超声图像去斑算法
Despeckling of Medical Ultrasound Images Based on Quantum-inspired Parameters Estimation
摘要
Abstract
A novel despeckling method for medical ultrasound images is proposed based on quantum-inspired parameters estimation. A new probability distribution function with an adaptive parameter is built up with the modelling of log-transformed medical ultrasound images coefficients. Considering the inter-scale dependency of coefficients, the quantum-inspired probability of signal and noise is firstly introduced based on the normalized products of the coefficients and their parents. Using the Bayesian estimation theory,an adaptive shrinkage function is proposed based on quantum-inspired parameters estimation. Experiments showed that our method can notably reduce speckle noise and preserve details of medical ultrasound image effectively, which achieved much better performance than that of the other related despeckling methods.关键词
去斑/量子信号处理/双树复小波变换Key words
despeckling/quantum signal processing/dual-tree complex wavelet transform分类
信息技术与安全科学引用本文复制引用
付晓薇,丁明跃,蔡超,周成平..基于量子衍生参数估计的医学超声图像去斑算法[J].电子学报,2011,39(4):812-818,7.基金项目
国家自然科学基金(No.60672057,60804031) （No.60672057,60804031）
国家863技术研究发展计划(No.2007AA12Z166) （No.2007AA12Z166）
中国科学院模式识别国家重点实验室开放课基金 （）
