Image denoising: The deep learning revolution and beyond—a survey paper

M Elad, B Kawar, G Vaksman - SIAM Journal on Imaging Sciences, 2023 - SIAM
Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …

An anisotropic fourth-order diffusion filter for image noise removal

MR Hajiaboli - International Journal of Computer Vision, 2011 - Springer
Fourth-order nonlinear diffusion filters used for image noise removal are mainly isotropic
filters. It means that the spatially varying diffusivity determined by a diffusion function is …

[PDF][PDF] Deep cnn model for multimodal medical image denoising

W El-Shafai, A Mahmoud, A Ali, E El-Rabaie… - Comput. Mater …, 2022 - researchgate.net
In the literature, numerous techniques have been employed to decrease noise in medical
image modalities, including X-Ray (XR), Ultrasonic (Us), Computed Tomography (CT) …

Retinal fundus image enhancement using the normalized convolution and noise removing

P Dai, H Sheng, J Zhang, L Li, J Wu… - International journal of …, 2016 - Wiley Online Library
Retinal fundus image plays an important role in the diagnosis of retinal related diseases.
The detailed information of the retinal fundus image such as small vessels, microaneurysms …

[HTML][HTML] Altered calcium handling produces reentry-promoting action potential alternans in atrial fibrillation–remodeled hearts

T Liu, F Xiong, XY Qi, J Xiao, L Villeneuve, I Abu-Taha… - JCI insight, 2020 - ncbi.nlm.nih.gov
Atrial fibrillation (AF) alters atrial cardiomyocyte (ACM) Ca 2+ handling, promoting ectopic
beat formation. We examined the effects of AF-associated remodeling on Ca 2+-related …

Model checking firewall policy configurations

A Jeffrey, T Samak - … on policies for distributed systems and …, 2009 - ieeexplore.ieee.org
The use of firewalls to enforce access control policies can result in extremely complex
networks. Each individual firewall may have hundreds or thousands of rules, and when …

Fluorescence microscopy image noise reduction using a stochastically-connected random field model

SA Haider, A Cameron, P Siva, D Lui, MJ Shafiee… - Scientific reports, 2016 - nature.com
Fluorescence microscopy is an essential part of a biologist's toolkit, allowing assaying of
many parameters like subcellular localization of proteins, changes in cytoskeletal dynamics …

[PDF][PDF] Speckle noise reduction of medical ultrasound images using Bayesshrink wavelet threshold

K Karthikeyan, C Chandrasekar - International Journal of computer …, 2011 - Citeseer
In diagnosis of diseases Ultrasonic devices are frequently used by healthcare professionals.
The main problem during diagnosis is the distortion of visual signals obtained which is due …

[PDF][PDF] Fully automatic identification and discrimination of sperm's parts in microscopic images of stained human semen smear

A Bijar, M Mikaeili, R Khayati - Journal of Biomedical …, 2012 - research.shahed.ac.ir
Fully automatic identification and discrimination of sperm™s parts in microscopic images of
stained human semen smear Page 1 J. Biomedical Science and Engineering, 2012, 5, 384-395 …

A novel approach using active contour model for semi-automatic road extraction from high resolution satellite imagery

PN Anil, S Natarajan - 2010 Second International Conference …, 2010 - ieeexplore.ieee.org
Road Extraction from satellite imagery is of fundamental importance in the context of spatial
data capturing and updating for GIS applications. As fully automatic method for feature …