Rakotomamonjy A, Deforge P, Marché P
Laboratoire Vision Robotique, Bourges, France.
Ultrason Imaging. 2000 Apr;22(2):73-94. doi: 10.1177/016173460002200201.
Speckle noise is known to be signal-dependent in ultrasound imaging. Hence, separating noise from signal becomes a difficult task. This paper describes a wavelet-based method for reducing speckle noise. We derive from the model of the displayed ultrasound image the optimal wavelet-domain filter in the least mean-square sense. Simulations on synthetic data have been carried out in order to assess the performance of the proposed filter with regards to the classical wavelet shrinkage scheme, while phantom and tissue images have been used for testing it on real data. The results show that the filter effectively reduces the speckle noise while preserving resolvable details.
众所周知，在超声成像中，散斑噪声与信号相关。因此，将噪声与信号分离成为一项艰巨的任务。本文描述了一种基于小波的散斑噪声降低方法。我们从显示的超声图像模型中推导出最小均方意义下的最优小波域滤波器。为了评估所提出的滤波器相对于经典小波收缩方案的性能，我们对合成数据进行了模拟，同时使用了体模和组织图像在真实数据上对其进行测试。结果表明，该滤波器在保留可分辨细节的同时有效地降低了散斑噪声。
