MATLAB Toolbox for Lifting Wavelet Transform
A comprehensive MATLAB toolbox for lifting wavelet transforms, supporting decomposition and reconstruction for 97, 53, Haar and other wavelet families with efficient implementation methods.
Implementation of 1D and 2D Wavelet Transforms
Implementation of 1D and 2D wavelet transforms in MATLAB environment, featuring comprehensive wavelet families including Haar, Daubechies (orders 1-6), Symlets (orders 1-6), Coiflets (orders 1-2), splines and reverse splines, CDF 9/7 and Le Gall 5/3, S+P wavelets with various filter configurations, Two Ten "TT", low-complexity designs, and HVS Visual 9/3 wavelet. The implementation provides MATLAB code examples demonstrating wavelet decomposition and reconstruction processes using built-in functions like wavedec and waverec.
Feature Extraction with HAAR and ADABOOST: Implementation Steps from Weak to Strong Classification
This documentation implements feature extraction with HAAR classifiers and demonstrates the step-by-step process of building strong classifiers from weak classifiers using the ADABOOST algorithm, including code-level implementation details.
Face Detection Program with AdaBoost, Cascade Classifiers, and Haar Features
A functional face detection implementation utilizing AdaBoost, Cascade classifiers, and Haar features, capable of training classifiers and detecting faces in images or videos.