Chen Ke, Lin Jiangli, Li Deyu, Wang Tianfu
Department of Biomedical Engineering of Sichuan University, Chengdu 610065, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Apr;24(2):434-8.
Lower contrast and speckle noise are the main reasons which decline the quality of medical ultrasonic images. In this paper, a new method is proposed to filter the speckle noises and enhance the contrast simultaneously. Anisotropic diffusion filtering method was firstly applied to filter images. Then the loss of information, which the contrast function of contrast enhancement model lies on, was obtained. Finally, the contrast can be enhanced by using enhancement model. Experimental results show that the proposed method not only removes the speckle noises effectively, but also enhances the contrast obviously. This method supplies an effective approach for improving the quality of medical ultrasonic images.
较低的对比度和斑点噪声是降低医学超声图像质量的主要原因。本文提出了一种新方法,可同时滤除斑点噪声并增强对比度。首先应用各向异性扩散滤波方法对图像进行滤波。然后获得对比度增强模型的对比度函数所依赖的信息损失。最后,通过使用增强模型来增强对比度。实验结果表明,该方法不仅能有效去除斑点噪声,还能显著增强对比度。该方法为提高医学超声图像质量提供了一种有效途径。