In recent years, many studies have examined filters for eliminating or reducing speckle
noise, which is inherent to ultrasound images, in order to improve the metrological …

In this paper, a novel denoising approach based on optimal trilateral filtering using Grey
Wolf Optimization (GWO) is proposed. At first, a database of noisy images are generated by …

Anisotropic diffusion filtering is a widely used partial differential equation (PDE) based
technique, which works effectively for removal of noise and preserving edges. This …

Image denoising methods are of fundamental importance in image processing and artificial
intelligence systems. In this review, we analyze the traditional and state of the art …

This paper introduces a novel denoising approach making use of a deep convolutional
neural network to preserve image edges. The network is trained by using the edge map …

Because of the variety of shapes, locations, and image intensities, image segmentation is a
more difficult endeavor in image processing. The most frequent diseases in the world are …

Medical imaging is essential for accurate diagnosis. In medical imaging, various algorithms
for image denoising have been developed. However, some drawbacks have been identified …

Various image denoising algorithms have been developed for medical imaging. But some
disadvantages have been found, including the block effect, which increases smoothing, and …

This paper presents a new algorithm for image denoising using a fractional integral mask of
the K-operator. K-operator is the generalized fractional operator, and it reduces to Riemann …

Images taken and stored digitally are often degraded by noise, so that the perceived image
quality is significantly decreased in the presence of noise and human gaze behavior is …