[세미나] 허영미 교수

Wavelets: Using Mathematics to Extract Detailed Information

허영미 교수

2024년 5월 28일 (화) 16:00

과학관 B102호

Abstract

In this presentation, the main focus is on the introduction of wavelets, with special attention to wavelet filters and wavelet coefficients. Wavelet filters are essential for generating wavelet coefficients, yet constructing these filters can be challenging, especially when aiming to achieve specific properties. Wavelet coefficients are useful for extracting fine details from the broader context within datasets, effectively isolating high-frequency components from low-frequency ones. We will also discuss how the Laplacian pyramid algorithm, an alternative method, enables the acquisition of wavelet coefficients without the direct need for wavelet filters. If time permits, we will explore a novel method for incorporating wavelet features into deep learning algorithms.