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

机译:基于Contourlet变换和无迭代滤波的双层滤波器,可增强超声心动图

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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:常用的用于去除脉冲噪声的滤波器在去除噪声的同时往往会去除细节和边缘。因此,这些滤镜无法用于需要保留边缘的超声心动图(ECHO)等图像。本文提出了一种新颖的双层滤波器,它由第一层中基于轮廓波变换的滤波器和第二层中的无迭代迭代滤波器组成。对Lena图像进行形式研究,该图像会因各种脉冲噪声(斑点噪声以及盐和胡椒噪声)而损坏。分析和感知质量结果均表明,该方法优于现有的用于对超声心动图进行降噪的技术,即中值滤波器和Contourlet变换滤波器。最后,将该技术应用于57帧超声心动图,并由医生进行了分析,并根据他的意见,与早期采用的方法相比,该方法可实现更好的去噪效果,而细微细节的损失可忽略不计。

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