Image Denoising Using Mathematical Tools



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Springer


Paru le : 2026-01-04



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Description

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.
Pages
65 pages
Collection
n.c
Parution
2026-01-04
Marque
Springer
EAN papier
9783032118776
EAN PDF
9783032118783

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
8499 Ko
Prix
34,80 €
EAN EPUB
9783032118783

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
22395 Ko
Prix
34,80 €

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.

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