Explore MATLAB source code curated for "嵌入" with clean implementations, documentation, and examples.
Implementation of a local extremum audio watermarking algorithm using MATLAB, featuring watermark embedding and extraction operations, along with common audio watermarking attack methods and their simulations.
Digital watermarking system based on Discrete Cosine Transform (DCT), including watermark embedding and extraction processes, with considerations for common watermarking attacks and robustness enhancement techniques
MATLAB implementation for audio digital watermark embedding and extraction with algorithm explanations
HVS-based wavelet-domain digital image watermarking includes watermark embedding, extraction, decomposition, and reconstruction processes with multi-resolution analysis implementation
Implementation of audio watermark embedding and extraction using mean quantization in wavelet domain with strong robustness properties
This is the most basic LSB (Least Significant Bit) algorithm for digital watermarking, featuring complete embedding and extraction functions with verified correct operation. Tested execution environment: MATLAB 6.5. The implementation demonstrates fundamental watermark hiding techniques using bit-level manipulation in grayscale images.
MATLAB implementations of digital watermarking algorithms including spatial/temporal domain and transform domain approaches with comprehensive code examples
MATLAB implementation of digital watermarking with complete embedding and extraction processes, supporting both wavelet domain and spatial domain approaches with detailed algorithm explanations
MATLAB source code implementation for digital image watermarking attacks, embedding, and extraction processes, featuring robust algorithm implementations and comprehensive technical analysis.
Implementation of digital watermark embedding and detection algorithm using DCT blocking and Human Visual System (HVS) characteristics, developed by Mao Li. This approach embeds watermarks into images through DCT coefficient modification and detects them using similarity comparison methods with enhanced visual perception considerations.