Image denoising is a vital pre-processing phase, used to refine the image quality and make
it more informative. Many image-denoising algorithms have been proposed with their own …

Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

In this paper, we proposed a new method, Different Applied Median Filter (DAMF), to remove
salt and pepper (SAP) noise at all densities. We then explained some basic notions of it …

We propose an Iterative Mean Filter (IMF) to eliminate the salt-and-pepper noise. IMF uses
the mean of gray values of noise-free pixels in a fixed-size window. Unlike other nonlinear …

In this letter, we propose a new adaptive weighted mean filter (AWMF) for detecting and
removing high level of salt-and-pepper noise. For each pixel, we firstly determine the …

In this paper, we deliver a new method to remove salt and pepper noise, which we refer to
as based on pixel density filter (BPDF). The first step of the method is to determine whether …

In this article, the authors propose an adaptive frequency median filter (AFMF) to remove the
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …

Many denoising algorithms have been proposed to recover a noise corrupted image.
However, most of them cannot well recover a heavy noise corrupted image with noise …

In this study, a novel approach of processing μCT images to create digital material twins is
presented. A deep convolutional neural network (DCNN) was implemented and used to …

Digital retinal imaging is a challenging screening method for which effective, robust and cost-
effective approaches are still to be developed. Regular screening for diabetic retinopathy …