Explore MATLAB source code curated for "Matlab实现" with clean implementations, documentation, and examples.
MATLAB implementation of Pixel Value Differencing (PVD) and Modulus Function-based PVD methods for image steganography research, featuring custom-developed algorithms with code implementation details
MATLAB implementation of copy-move image forgery detection algorithm with feature extraction and block matching capabilities
A comprehensive MATLAB implementation of Fuzzy C-Means clustering, featuring 10 essential MATLAB functions with detailed algorithm explanations and code implementation insights.
MATLAB implementation of JT and MET algorithms for graphical model computations, featuring maximum clique identification and marginal probability calculations with practical code examples.
Complete MATLAB implementation of Wiener filter with detailed experimental report, including executable program code and comprehensive analysis
MATLAB Implementation of BCH(15,7,5) Error Correction Decoding Algorithm
Implementation in Spatial Domain The core principle of LSB digital watermarking: Modifying the least significant bit of binary images doesn't affect visual perception. Based on this, watermark information can directly replace the least significant bits of digital images. The embedding process consists of three main steps: 1. Convert spatial domain pixel values from decimal to binary representation using bit-level operations 2. Replace the least significant bits of corresponding data with each bit of binary watermark information through bit manipulation 3. Convert the watermarked binary data back to decimal pixel values to obtain the watermarked image using appropriate conversion functions
This algorithm focuses specifically on color facial recognition, utilizing MATLAB's facial detection algorithms combined with facial image segmentation across different color spaces. Developers can reference this implementation which demonstrates key functions like color space conversion (RGB to HSV/YCbCr) and skin tone modeling for improved detection accuracy.
MATLAB implementation of BP neural network algorithm enhanced by particle swarm optimization (complete source code provided)
MATLAB implementation of the MIMO-OFDM process, featuring advanced algorithms from international experts in wireless communication systems