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Fractional Anisotropic Diffusion For Image Denoising

机译:分数各向异性扩散用于图像降噪

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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:图像去噪在各种应用中都起着重要作用。它是图像处理中的关键操作之一。在不丢失重要特征的情况下进行图像去噪是非常困难和挑战性的任务。已经提出了许多技术用于图像去噪。但是,大多数技术都无法在图像中保留精细的细节。在这项工作中,提出了一种分数各向异性模型,该模型不仅可以消除噪声,而且可以保留图像中存在的精细细节。进行了定性和定量分析。已经发现,所提出的方法在图像降噪方面是优良的。

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