Image Denoising Using Mathematical Tools
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Beschreibung
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.
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
Autor*in
Mourad Talbi
Themen in »Image Denoising Using Mathematical Tools«
Adaptive Frequency Median Filter (AFMF) Image Denoising Technique 2-D dual-tree DWT Stationary Wavelet Transform 2-D SWT-Based Image Denoising Technique