Image Denoising Using Mathematical Tools - Mourad Talbi,Brahim Nasraoui
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
- Covers image denoising techniques with tools such as wavelet transforms and Adaptive Frequency Median Filter (AFMF);
- Discusses and combines Stationary Wavelet Transform 2-D and 2-D Dual-Tree DWT;
- Presents MRI Denoising using AFMF techniques.
Lisätietoja
| Kirjoittaja | Mourad Talbi, Brahim Nasraoui |
|---|---|
| Julkaisija | Springer-Verlag GmbH |
| Series | Synthesis Lectures on Engineering, Science, and Technology |
| Julkaisuvuosi | 2026 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783032118776 |