Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems

Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems

This work introduces a universal wavelet unit constructed with a biorthogonal lattice structure which is a novel tunable wavelet unit to enhance image classification and anomaly detection in convolutional neural networks by reducing information loss during pooling. The unit employs a biorthogonal la...

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Bibliographic Details
Main Authors: An D. Le, Shiwei Jin, Sungbal Seo, You-Suk Bae, Truong Q. Nguyen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Anomaly detection
computer vision
discrete wavelet transforms
feature extraction
image processing
image recognition
Online Access:https://ieeexplore.ieee.org/document/11039659/
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https://ieeexplore.ieee.org/document/11039659/

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