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Quantum-inspired hybrid medical ultrasound images despeckling method

机译:量子启发的混合医学超声图像去斑方法

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摘要

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.
机译:提出了一种结合量子启发式双边滤波和小波阈值的医学超声去斑方法。该方法利用了一种在量子信号处理框架下的自适应双边滤波器,并将其用作预处理步骤。然后,在假设小波域中的信号系数和噪声系数分别服从广义拉普拉斯分布和高斯分布的前提下,将小波阈值应用于预滤波图像。实验表明,该方法在保持边缘等高对比度特征的同时,具有较好的斑点噪声抑制性能。

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