Image Denoising Using Mathematical Tools (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
- Hardcover
- New
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Add to basketItem description from seller
Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9783032118776
- Title
- Image Denoising Using Mathematical Tools (Hardcover)
- Author
- Brahim Nasraoui
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3032118778
- ISBN 13
- 9783032118776
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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