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Contourlet transform and iterative noise free filtering based bilayer filter for enhancing echocardiogram

机译:基于Contourlet变换和迭代无噪声无噪声滤波器增强超声心动图的双层滤波器

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Commonly used filters for removing impulse noises tend to remove fine details and edges while denoising. Thus, these filters cannot be used for images such as echocardiogram (ECHO) where we need to preserve the edges. In this paper, a novel bilayer filter, consisting of a contourlet transform based filter in the primary layer and iterative noise free filter in the secondary layer is proposed. Form study is performed on Lena image, corrupted by varying amounts of impulse noises (speckle noise and salt & pepper noise). Both the analytical and perceptual quality results show that the proposed method is superior to existing techniques used for denoising echocardiogram, viz., median filter and contourlet transform filter. And finally, the technique was applied on a 57 frame echocardiogram and the results were analyzed by a doctor and according to his opinion, the proposed method achieves better denoising with negligible loss of fine details, than the methods adopted earlier.
机译:用于去除脉冲噪声的常用过滤器倾向于在去噪时去除细节和边缘。 因此,这些滤波器不能用于诸如超声心动图(回波)的图像,我们需要保留边缘。 本文采用了一种新颖的双层滤波器,由初级层中的基于型基于型基于频率的滤波器组成的二级层和辅助层中的迭代噪声无滤波器。 表格研究是在Lena Image上进行的,通过不同的脉冲噪声(斑点噪声和盐和辣椒噪声)腐蚀。 分析和感知质量结果均表明,该方法优于现有的现有技术,用于去噪超声心动图,VIZ,中值滤波器和轮廓变换过滤器。 最后,该技术应用于57帧超声心动图,结果通过医生进行了分析,并根据他的意见进行了分析,所提出的方法可以更好地丧失,而不是先前采用的方法。

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