Today, Computed tomography (CT) is one of the high efficient tools in medical science
which helps to diagnose the human body. The presence of noise may degrade the visual …

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 …

The main aim of image denoising is to improve the visual quality in terms of edges and
textures of images. In Computed Tomography (CT), images are generated with a …

The impact of radiation dose is directly related to the quality of computed tomography (CT)
images. Low‐dose CT images are degraded with the noise and other factors. Noise …

Denoising computed tomography (CT) medical images is crucial in preserving information
and restoring images contaminated with noise. Standard filters have extensively been used …

Medical imaging is a complex process that capitulates images created by X-rays, ultrasound
imaging, angiography, etc. During the imaging process, it also captures image noise during …

Blur and noise corrupting Computed Tomography (CT) images can hide or distort small but
important details, negatively affecting the consequent diagnosis. In this paper, we present a …

In medical images noise and artifacts are introduced due to the acquisition techniques and
systems. Due to the noise present in the medical images, experts may not be able to draw …

Computed Tomography (CT) is one of the most widespread radiological tools in medical
diagnostics. To achieve good quality of CT images with low radiation dose has drawn a lot of …

Low-dose computed tomography (LDCT) images are polluted by mottle noise and streak
artifacts. To improve LDCT images quality, this paper proposes a novel total variation (NTV) …