Wavelet Filtering, Denoising, Enhancement, and Transformation Case Studies
Comprehensive case programs demonstrating wavelet filtering, noise removal, signal enhancement, and transformation techniques with practical implementation examples
Enhanced Wavelet Denoising Using the Lifting Wavelet Method
The lifting wavelet method significantly outperforms conventional approaches in wavelet denoising, delivering superior noise reduction through reversible transform operations and adaptive thresholding techniques.
Image Enhancement using Contourlet and Wavelet Transforms
This package provides various algorithms and .m files for image enhancement and denoising using Contourlet and Wavelet transforms, including implementations for multi-scale decomposition, directional filtering, and threshold-based noise reduction techniques.
Implementation of Facial Expression Recognition
This implementation utilizes an image database where the detection phase begins with grayscale conversion, followed by lighting compensation and noise reduction. Edge detection is then performed, and images are normalized to ensure consistency. For feature extraction, PCA (Principal Component Analysis) is employed to extract facial features and project them into vector space. Finally, the system calculates the nearest distance between test images and reference models to determine the most matching expression category.
Efficient Image Preprocessing with Denoising Capabilities
An effective image preprocessing program with superior noise reduction performance, developed using MATLAB 6.5 with robust implementation of filtering algorithms
Dual-Domain Image Denoising
2013 CVPR Best Paper award-winning method that performs joint spatial and transform domain image denoising with simple implementation, achieving noise reduction performance comparable to BM3D algorithm through efficient domain fusion techniques.
Lee Filter Implementation for Coherent Speckle Noise Reduction Algorithm
Lee filter implementation for coherent speckle denoising algorithm, widely applied in SAR image noise reduction with neighborhood statistics-based filtering approach.
Wavelet Transform Denoising with Enhanced 97 Lifting Scheme and Discrete Wavelet Transform MATLAB Implementation
MATLAB programs for wavelet transform denoising featuring improved implementations of the 97 lifting scheme and discrete wavelet transform, including signal decomposition, noise removal algorithms, and performance optimization techniques.
Source Code for Basic Wavelet Transform Denoising Algorithm
Source code implementation of the fundamental wavelet transform denoising algorithm for speech signal processing, providing valuable reference material for beginners with MATLAB code examples and implementation details.
SSNF Denoising Algorithm Based on Wavelet Transform Inter-Scale Correlation
This is the SSNF algorithm I downloaded (SSNF denoising algorithm based on wavelet transform inter-scale correlation) featuring implementation insights and technical specifications