CT image denoising using NLM and correlation‐based wavelet packet thresholding
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 …
images. Low‐dose CT images are degraded with the noise and other factors. Noise …
CT image denoising based on complex wavelet transform using local adaptive thresholding and Bilateral filtering
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 …
diagnostics. To achieve good quality of CT images with low radiation dose has drawn a lot of …
[HTML][HTML] CT image denoising using NLM and its method noise thresholding
Computed Tomography (CT) is one of the major tools to identify diagnose in medical
science. The quality of CT images is dependent of X-ray amount. If X-ray dose is higher, the …
science. The quality of CT images is dependent of X-ray amount. If X-ray dose is higher, the …
[HTML][HTML] CT image denoising using locally adaptive shrinkage rule in tetrolet domain
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 …
blurring is one of the universal problems due to hardware restrictions. The problem of noise …
A new locally adaptive patch variation based CT image denoising
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 …
textures of images. In Computed Tomography (CT), images are generated with a …
An Image Denoising Technique Using Wavelet-Anisotropic Gaussian Filter-Based Denoising Convolutional Neural Network for CT Images
Denoising computed tomography (CT) medical images is crucial in preserving information
and restoring images contaminated with noise. Standard filters have extensively been used …
and restoring images contaminated with noise. Standard filters have extensively been used …
CNN and multi-feature extraction based denoising of CT images
J Zhang, HL Zhou, Y Niu, JC Lv, J Chen… - … Signal Processing and …, 2021 - Elsevier
In the past decades, Computed Tomography (CT) images have been widely used and
played a critically role in medical diagnosis. In low-dose CT images, reducing the radiation …
played a critically role in medical diagnosis. In low-dose CT images, reducing the radiation …
Wavelet based noise reduction in CT-images using correlation analysis
A Borsdorf, R Raupach, T Flohr… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
The projection data measured in computed tomography (CT) and, consequently, the slices
reconstructed from these data are noisy. We present a new wavelet based structure …
reconstructed from these data are noisy. We present a new wavelet based structure …
[HTML][HTML] A new exponentially directional weighted function based CT image denoising using total variation
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 …
which helps to diagnose the human body. The presence of noise may degrade the visual …
A review on CT image noise and its denoising
CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …
image reconstruction depends on many physical measurements such as radiation dose …
相关搜索
- ct images correlation analysis
- image denoising wavelet transform
- ct images noise reduction
- image denoising patch variation
- image denoising shrinkage rule
- image denoising tetrolet domain
- image denoising weighted function
- image denoising bilateral filtering
- image denoising shearlet domain
- image denoising total variation