ITexLi, 2023. — 83 p. — ISBN 1837680302 9781837680306 1837680299 9781837680290 1837680310 9781837680313.
This volume provides a comprehensive overview of signal and image denoising techniques. It also examines and compares the performance of several innovative denoising approaches involving the use of mathematical tools such as wavelets, deep learning, minimum mean square error, and more. This book is a useful resource for engineers and researchers in signal and image processing.
Signal and Image Denoising
Sound Absorption Measurement: Alpha Cabin and Impedance Tube
SAR Image Denoising Using MMSE Techniques
ANNHRPAA Based Deep Learning Image Processing for Pneumonia Detection
Multi-Metric Near-Optimal Image Denoising
New Image Denoising Approach Based on SWT and 2-D Dual-Tree Discrete Wavelet Transform