This project implements a custom algorithm for denoising noisy grayscale images using the Discrete Wavelet Transform (DWT) with the Haar wavelet, implemented from scratch in Python. The algorithm ...

Wavelet-NAFNet for Low-Dose CT Denoising ===== This project implements a lightweight Wavelet-NAFNet model for low-dose CT image denoising. The model follows a residual noise-prediction strategy.

Noise suppression is a key component in microseismic monitoring technology. Accurate denoising of microseismic signals is crucial for ensuring reliable data for locating mining-related seismic events ...

Abstract: During data acquisition in dc microgrids (DCMGs), high-impedance fault (HiF) signals are often contaminated with various noise sources such as seismic interference, Gaussian or non-Gaussian ...

Abstract: Signal as a noise confined to small scales or high frequency can be removed preferentially from noisy signals if some prior information is available. According to the uncertainty principle, ...