Medical image fusion has been used to improve useful and relevant information (eg, precise
localization of abnormalities) of multimodal medical images, such as computed tomography …

In order to overcome the defects of low contrast and low signal-to-noise ratio of the infrared
thermal image of rock (ITIR), a joint denoising method of additive and multiplicative noise is …

Abstract In Computed Tomography (CT), image degradation such as noise and detail
blurring is one of the universal problems due to hardware restrictions. The problem of noise …

De-noising of the medical images is very difficult task. To improve the overall visual
representation we need to apply a contrast enhancement techniques, this representation …

In this paper two most common noise problems of medical images have been addressed.
First is the Gaussian noise in the Computed Tomography images and second is the speckle …

Noise is an unwanted entity that corrupts the image due to which its quality degrades. This
degradation may be suppressing details like edges, ridges, and other fine structures that are …

Medical diagnosis is a challenging procedure that involves issues such as data imbalance,
insufficient labels, obscure images, redundancy and lack of effective model training …

This study proposes an image denoising algorithm based on sparse representation and
Principal Component Analysis (PCA). The proposed algorithm includes the following steps …

This paper proposes a new methodology for automatic segmentation of micro-calcification
clusters in mammography. The proposed method is based on two main steps: The first step …

当前去模糊方法只利用图像单一的稀疏特性作为先验信息, 忽略了伪边缘(如振铃瑕疵)
对模糊核估计的影响, 导致其去模糊性能不佳. 本文充分利用复杂结构图像的先验信息 …