Open AccessThree robust edges stopping functions for image denoising
Author(s) -
Hicham Rezgui,
Messaoud Maouni,
M. L. Hadji,
Ghassen Touil
Publication year - 2022
Publication title -
boletim da sociedade paranaense de matemática
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.347
H-Index - 15
eISSN - 2175-1188
pISSN - 0037-8712
DOI - 10.5269/bspm.45945
Subject(s) - enhanced data rates for gsm evolution , image (mathematics) , image restoration , noise reduction , artificial intelligence , noise (video) , image denoising , computer science , computer vision , image quality , mathematics , image processing , algorithm , pattern recognition (psychology)
In this paper, we present three strong edge stopping functions for image enhancement. These edge stopping functions have the advantage of effectively removing the image noise while preserving the true edges and other important features. The obtained results show an improved quality for the restored images compared to existing restoration models.