A review on medical image denoising algorithms
SVM Sagheer, SN George - Biomedical signal processing and control, 2020 - Elsevier
Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …
immense attraction due to the rapid development in computing, internet, data storage and …
Ultrasound image enhancement: A review
SHC Ortiz, T Chiu, MD Fox - Biomedical Signal Processing and Control, 2012 - Elsevier
Medical ultrasound imaging uses pulsed acoustic waves that are transmitted and received
by a hand-held transducer. This is a mature technology that it is widely used around the …
by a hand-held transducer. This is a mature technology that it is widely used around the …
Nonlocal means-based speckle filtering for ultrasound images
In image processing, restoration is expected to improve the qualitative inspection of the
image and the performance of quantitative image analysis techniques. In this paper, an …
image and the performance of quantitative image analysis techniques. In this paper, an …
On the choice of the parameters for anisotropic diffusion in image processing
C Tsiotsios, M Petrou - Pattern recognition, 2013 - Elsevier
Anisotropic diffusion filtering is highly dependent on some crucial parameters, such as the
conductance function, the gradient threshold parameter and the stop** time of the iterative …
conductance function, the gradient threshold parameter and the stop** time of the iterative …
Removing multiplicative noise by Douglas-Rachford splitting methods
In this paper, we consider a variational restoration model consisting of the I-divergence as
data fitting term and the total variation semi-norm or nonlocal means as regularizer for …
data fitting term and the total variation semi-norm or nonlocal means as regularizer for …
Anisotropic diffusion filter with memory based on speckle statistics for ultrasound images
G Ramos-Llordén… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Ultrasound (US) imaging exhibits considerable difficulties for medical visual inspection and
for development of automatic analysis methods due to speckle, which negatively affects the …
for development of automatic analysis methods due to speckle, which negatively affects the …
Noise-driven anisotropic diffusion filtering of MRI
K Krissian, S Aja-Fernández - IEEE transactions on image …, 2009 - ieeexplore.ieee.org
A new filtering method to remove Rician noise from magnetic resonance images is
presented. This filter relies on a robust estimation of the standard deviation of the noise and …
presented. This filter relies on a robust estimation of the standard deviation of the noise and …
Speckle reduction in medical ultrasound images using an unbiased non-local means method
Enhancement of ultrasound (US) images is required for proper visual inspection and further
pre-processing since US images are generally corrupted with speckle. In this paper, a new …
pre-processing since US images are generally corrupted with speckle. In this paper, a new …
Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image
Medical ultrasound images are corrupted by speckle noise, which is multiplicative. This
noise limits the contrast resolution in these images and complicates image-based …
noise limits the contrast resolution in these images and complicates image-based …
Multiplicative noise removal using L1 fidelity on frame coefficients
We address the denoising of images contaminated with multiplicative noise, eg speckle
noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods …
noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods …