Nonlinear signal processing method for medical image enhancement

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.