医学图像去噪:简要分析

P. Rath
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引用次数: 0

摘要

图像只不过是一个物体的图形表示。没有任何干扰或噪声的图像一般最适合使用。但是如果图像被噪声破坏了,那就没有价值了。因此,去噪是一种用来去除噪声的概念。在本文中,我回顾了一些论文在去噪的领域,特别是在医疗技术领域。在这一领域发表了大量的论文。有些有一些优点和一些缺点。图像去噪的最终方法是,我们需要对图像进行去噪,使图像的边缘、角等有价值的特征不会被去除。研究者的最终目的是从去噪后的图像中得到真实图像,其成功概率为1。因此,本文不仅对基于去噪技术的论文进行综述,而且为医学图像去噪领域的进一步研究提供了未来的延伸方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical image denoising: A brief analysis
An image is nothing but a pictorial representation of an object. Image without any disturbance or noise is generally best suitable for use. But if the image is corrupted with noise then that is of no value. So denoise is a kind of concept which is taken into consideration to remove noise. In this paper, I have reviewed some of the papers in the field of denoising particularly in the field of medical technologies. There are abundant number of papers released in this area. Some are having some advantages and some disadvantages. Ultimate approach of image denoising is that, we need to denoise the image in such a way so that features of images like edges, corners and other valuable features would not be removed. The ultimate aim of researchers is to get the true image from the denoised image with the probability of success as 1.Hence,this paper is not only meant for reviewing the papers based on denosing techniques but also provides a future direction to extend for further research in this area of medical image denosing.
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