The field of SMART technologies is an interdependent discipline. It involves the latest
burning issues ranging from machine learning, cloud computing, optimisations, modelling …

Medical imaging, the process of visual representation of different organs and tissues of the
human body, is employed for monitoring the normal as well as abnormal anatomy and …

Background: In the image processing area, deblurring and denoising are the most
challenging hurdles. The deblurring image by a spatially invariant kernel is a frequent …

In this paper, a denoising technique is proposed based on a nonlinear anisotropic diffusion
model with two diffusivities parameters, ie, Charbonnier and total variation. These …

In the present study, we propose an effective nonlinear anisotropic diffusion-based
hyperbolic parabolic model for image denoising and edge detection. The …

In the present study, we give a very effective nonlinear anisotropic diffusion model to
approximate the solution to minimizing the energy functional for additive noise removal. This …

Image denoising and edge detection are two major problems in the area of image
processing. Therefore, this study aims to proposes and mathematically analyze a nonlinear …

In the image processing community, image denoising and deblurring, data compression,
edge detection, etc. are the most challenging and basic hurdles. We address a new …

In recent times, the field of signal/image processing has become a conglomeration of
researchers working in applied mathematics, medical and applied sciences, and …