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Fractional Anisotropic Diffusion For Image Denoising

机译:图像去噪的分数各向异性扩散

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An image denoising plays an important role in wide variety of applications. It is one of critical operation in image processing. Image denoising without losing important features is very difficult and challenging task. Many of the techniques have been proposed for image denoising. But, most of the techniques fail to preserve fine details in the image. In this work, a fractional anisotropic model is being presented which not only removes noise but also preserve fine details present in the image. Qualitative and quantitative analysis has been performed. It has been found that the proposed method is superior in image de-noising.
机译:图像去噪在各种各样的应用中起着重要作用。它是图像处理中的关键操作之一。图像去噪而不失去重要特征是非常困难和具有挑战性的任务。已经提出了许多技术用于图像去噪。但是,大多数技术都没有保留图像中的细节。在这项工作中,正在提出分数各向异性模型,其不仅消除了噪声,而且还保留了图像中存在的精细细节。已经进行了定性和定量分析。已经发现,所提出的方法在图像去噪中优异。

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