Fractional Anisotropic Diffusion For Image Denoising

S. K. Chandra, Manish Kumar Bajpai
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引用次数: 9

Abstract

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.
分数各向异性扩散图像去噪
图像去噪在各种各样的应用中起着重要的作用。它是图像处理中的关键操作之一。不丢失重要特征的图像去噪是一项非常困难和具有挑战性的任务。许多图像去噪技术已经被提出。但是,大多数技术都不能保留图像中的细节。在这项工作中,提出了一种分数各向异性模型,该模型不仅可以去除噪声,还可以保留图像中的精细细节。进行了定性和定量分析。实验结果表明,该方法具有较好的图像去噪效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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