This project implements a complete pipeline for reading PGM images, performing wavelet decomposition/reconstruction using the Haar filter, and applying various ...

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 ...

This project provides an interactive desktop application for comparing different image denoising algorithms on grayscale images corrupted by various types of noise. The primary goal is to demonstrate ...

Abstract: This study evaluates wavelet-based denoising techniques for partial discharge signals, specifically Damped Exponential Pulse (DEP) and Damped Oscillatory Pulse (DOP) types. We analyzed 63 ...

Abstract: In this paper, the foundation of the framework for steerable and reversible 2D wavelets is explored. We focused on a practical design of wavelet frames in 2D. The steerable wavelets are ...