Articles liés à Image Denoising Using Mathematical Tools

Image Denoising Using Mathematical Tools - Couverture rigide

Talbi, Mourad; Nasraoui, Brahim

 
9783032118776: Image Denoising Using Mathematical Tools
Couverture rigide
ISBN 10 : 3032118778 ISBN 13 : 9783032118776
Editeur : Springer Nature Switzerland AG, 2026

Synopsis

This book introduces and analyzes image denoising techniques. In the first chapter, the authors detail image denoising approaches employing Adaptive Frequency Median Filter (AFMF). In the second chapter, the authors present the first image denoising technique based on two different wavelet transforms, which are 2-D dual-tree DWT and Stationary Wavelet Transform 2-D. In the third chapter, the authors discuss the MRI Denoising based on 2-D Dual-Tree DWT and Stationary Wavelet Transform 2-D.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Mourad Talbi is an Associate professor in signal and image processing at the center of researches and technologies of energy (CRTEn), Tunis, Tunisia. He received his Master (2004) in automatics and Signal Processing from National School of Engineers of Tunis (ENIT) He received his Ph.D. Thesis (2010) and his HDR (2015) in Electronics from Faculty of sciences of Tunis. Actually, he is a research member of the LMEEVED Laboratory. He has made many publications in the domains of Signal and image processing and also in the domain of the photovoltaics. He also participates in many international conferences of signal and image processing and also photovoltaics. He has published many books and chapters in the domains of Signal and Image processing.

Brahim Nasraoui is an Assistant Professor in the Department of Computer Sciences at the University College of Duba, University of Tabuk, Saudi Arabia. He has conducted research in image processing, focusing on mathematical and computational approaches to improve image quality and reduce noise. His contributions include developing innovative methods that combine mathematical models with practical computational techniques.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2026
Langue
anglais
ISBN 10 
3032118778
ISBN 13 
9783032118776
Reliure
Relié
Nombre de pages
78
Coordonnées du fabricant
GPSR Kontakt
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Allemagne