A DCT Domain-Based Digital Watermarking Code Implementation
A digital watermarking code implementation based on the DCT (Discrete Cosine Transform) domain, featuring comprehensive inline comments and detailed explanations of the algorithm workflow.
MATLAB Source Code Implementation for Digital Watermarking
Digital watermarking source code implementation using MATLAB, featuring various attack simulations including noise injection, filtering, compression, and geometric transformations to evaluate robustness.
Complete Digital Watermarking Process with MATLAB: Embedding and Extraction Implementation
MATLAB implementation of digital watermarking with complete embedding and extraction processes, supporting both wavelet domain and spatial domain approaches with detailed algorithm explanations
Digital Watermarking Program Based on DCT Algorithm
A MATLAB-implemented digital watermarking application utilizing DCT transformation for embedding watermarks into images through frequency-domain processing
Digital Watermark Embedding and Detection Using DCT and HVS
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.
Wavelet Transform-Based Digital Watermarking with Code Implementation
Digital watermarking using wavelet transform, featuring detailed code explanations, algorithm descriptions, and experimental result analysis
MATLAB-Based Digital Watermarking Simulation Source Code and Results
MATLAB simulation source code for digital watermarking algorithms with implementation examples, suitable for graduation projects and course design reference.
DWT-Based Digital Watermarking Algorithm Implementation
This MATLAB-based simulation implements a discrete wavelet transform (DWT) digital watermarking algorithm, featuring watermark embedding, extraction, and comprehensive attack resistance testing with excellent performance results.
Neural Network-Based Digital Watermark Extraction
Implementation of digital image watermark embedding and extraction using neural networks, with custom-developed code and algorithms.
Digital Watermark Information Hiding Using LSB (Least Significant Bit) in Carrier Images
Digital watermark information is concealed in the LSB of carrier images through direct replacement. This method is straightforward to implement but exhibits poor robustness, making it vulnerable to attacks such as noise addition, filtering, and cropping. Code implementation typically involves pixel-wise bit manipulation for embedding and extraction.