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Nonlinear signal processing method for medical image enhancement

机译:用于医学图像增强的非线性信号处理方法

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The medical field has long used a variety of imaging methods, including X-ray, PET, CT and MRI, for diagnoses. Video cameras inserted into the body are also used during treatment. The problem is that the resolutions of the images and video produced by these methods are almost always insufficient in some way. Enhancer is a typical technology for improving image quality. It is cost effective and has been widely used. However, Enhancer does not actually increase the resolution. It just amplifies high-frequency elements and is not effective on blurry images. If one wants to really improve the resolution of a blurry image, it is necessary to create high-frequency elements that the original image does not have. In this paper, we propose a novel nonlinear signal processing method that can create such high-frequency elements that the original image does not have. It is sufficiently simple to be installed in real-time video systems such as gastroscopic camera systems.
机译:医学领域长期以来使用各种成像方法(包括X射线,PET,CT和MRI)进行诊断。在治疗过程中还会使用插入体内的摄像机。问题在于通过这些方法产生的图像和视频的分辨率在某种程度上几乎总是不足的。增强器是提高图像质量的典型技术。它具有成本效益,并已被广泛使用。但是,Enhancer并不会真正提高分辨率。它仅会放大高频元素,并且对模糊的图像无效。如果要真正提高模糊图像的分辨率,则必须创建原始图像所没有的高频元素。在本文中,我们提出了一种新颖的非线性信号处理方法,该方法可以创建原始图像所没有的高频元素。它非常容易安装在实时视频系统中,例如胃镜系统。

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