Homomorphic Filtering
A high-performance homomorphic filtering program I developed, featuring robust image processing capabilities with detailed code implementation insights
Digital Image Watermarking Technology Based on DWT
MATLAB source code for DWT-based digital image watermarking technology including embedding and extraction functions with excellent performance. The implementation uses discrete wavelet transform for frequency-domain watermark insertion and robust extraction algorithms.
Video Restoration Effects
Video restoration delivers exceptional results with remarkable speed and user-friendly operation, making it highly recommended for trial use.
Convex Optimization MATLAB Toolbox
A MATLAB toolbox for convex optimization that enables rapid solving of convex optimization problems with excellent performance, featuring efficient algorithms and practical implementation examples.
Image Deblurring Algorithm
Deblurring algorithm developed by MIT researchers, cited in SIGGRAPH06 publication, demonstrating exceptional performance with sophisticated computational approaches
PSO Algorithm Optimization for PID Parameter Tuning
Implementation of PID parameter optimization using Particle Swarm Optimization (PSO) algorithm - This method has been published in a research paper demonstrating excellent control performance and convergence characteristics.
MATLAB Implementation of Bilateral Filter for Color Image Processing
Bilateral filter algorithm implementation for color images, achieving excellent processing results with edge-preserving noise reduction capabilities.
Latest SIFT Feature Extraction MATLAB Implementation
Up-to-date MATLAB code for SIFT feature extraction with excellent performance, featuring robust algorithm implementation and comprehensive functionality for image processing applications
Introduction to the RLS Algorithm (Recursive Least Squares Algorithm)
This resource provides a concise introduction to the RLS Algorithm (Recursive Least Squares Algorithm) and includes a simulation program that demonstrates effective implementation of the algorithm, showcasing its practical performance.
Blind Restoration Algorithm Based on Total Variation
This is a blind restoration algorithm utilizing total variation methodology, which has demonstrated excellent practical performance in real-world applications. The implementation includes regularization techniques for edge preservation and detailed explanations of optimization approaches.