… to reduce doses in images taken from X-ray CR through a non-linear Gaussian filter. We have
… For future works, we will analyze the use of an anisotropic or ball-scale filtering, in order to …

… (HGE), Perona-Malik filter (PMF), and … diffusion coefficient c(.) and gradient threshold K are
separate [16]. As a non-linear anisotropic diffusion model, PMF smoothens noisy images θ(x,y…

… cancellation technology using anisotropic filtering gave the best … [20] this research used
X-ray image using siamese … CT image are removed and that anisotropic filter is applied to the …

… or print ready processing of x-ray chest radiograph based on a … The third one is based on
anisotropic nonlinear diffusion equation… Hence we modified this filter kernel for better image …

… , which is poor in representing anisotropic singular features in images. Ostojié et al. [24] …
The high-frequency sub-bands use gradient-domain guided filtering to filter out image noise …

… existing x-ray image acquisition systems the noise is neither isotropic nor … filter, so the
shape of the spectra will also be filtered by the high-frequency enhancement. Most x-ray imaging …

… Anisotropic diffusion, also known as Perona-Malik filtering, … anisotropic diffusion to the input
image to reduce noise while preserving edges. Anisotropic Diffusion aims to improve image …

… of pneumonia from chest X-ray images using Convolutional … on a dataset of 5,863 X-ray
images classified as pneumonia or … and accurately analyzing X-ray images. Despite multiple …

… enhanced while noise is reduced via anisotropic diffusion resampling. The edge information…
, the input image or matrix is denoted by, the 2D filter is denoted by with as the filter size, and …

… filter and wavelet transform because the detection of these structures presents a significant
challenge to the performance of X-ray imaging sensors and image … anisotropic diffusion, and …