[HTML][HTML] Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images

A Shah, JI Bangash, AW Khan, I Ahmed, A Khan… - Journal of King Saud …, 2022 - Elsevier
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 …

A salt and pepper noise image denoising method based on the generative classification

B Fu, X Zhao, C Song, X Li, X Wang - Multimedia Tools and Applications, 2019 - Springer
In this paper, an image denoising algorithm is proposed for salt and pepper noise. First, a
generative model is built on a patch as a basic unit and then the algorithm locates the image …

Linear cellular automata-based impulse noise identification and filtration of degraded images

Z Jeelani, G Gani, F Qadir - Signal, Image and Video Processing, 2023 - Springer
In this paper, four impulse noise filters based on modifications of linear cellular automata
(LCA) are proposed and evaluated. Each of these filters make use of an adaptive …

Patch-based contour prior image denoising for salt and pepper noise

B Fu, XY Zhao, Y Li, XH Wang - Multimedia Tools and Applications, 2019 - Springer
The salt and pepper noise brings a significant challenge to image denoising technology, ie
how to remove the noise clearly and retain the details effectively? In this paper, we propose …

The Component Weighted Median Absolute Deviations Problem

V Novoselac - European journal of pure and applied mathematics, 2020 - ejpam.com
This paper considers the problem of robust modeling by using the well-known Least
Absolute Deviation (LAD) regression. For that purpose, the approximation function is …

IMAGE ENHANCEMENT AND DE-NOISING TECHNIQUES OF MAGNETIC RESONANCE IMAGES

V Jayanthi, S Sivakumar - ASEAN Engineering Journal, 2022 - journals.utm.my
Medical images have noise, such as salt and pepper, speckle, and gaussian noise. So,
getting the accuracy of magnetic resonance images is challenging always. The accuracy of …