Explore MATLAB source code curated for "水印嵌入" with clean implementations, documentation, and examples.
Complete source code for watermark embedding and various attack simulations, featuring detailed technical documentation with comprehensive algorithm explanations and function descriptions
Implementing image normalization as a foundation for watermark embedding and other operations
Implementation of watermarked data embedding through binary dither modulation algorithm employing uniform quantization, with technical explanations of quantization steps and modulation processes.
Comprehensive examples of watermark embedding using wavelet transforms, DCT, and LSB methods with detailed code implementation
A DCT-based watermarking algorithm digital watermark processing system primarily consists of two processes: watermark embedding and watermark detection. The watermark embedding process combines the digital watermark (X), original image (I), and key/public key (K) through a digital watermark embedding algorithm to generate the watermarked image (I*). The watermark detection process uses the digital watermark (X), watermarked image (I*), and key/public key (K) through a digital watermark detection algorithm to detect the presence or absence of the watermark. The DCT-based watermarking algorithm embeds a random sequence as the watermark signal into the magnitude components of significant DCT coefficients (selecting the top n coefficients with large magnitudes as significant components). A similarity function is defined to verify successful watermark extraction. Experimental results demonstrate the algorithm's imperceptibility and robustness against common image processing operations.
Source code implementation for digital audio watermark embedding algorithm utilizing wavelet transform - includes signal decomposition, coefficient modification, and reconstruction processes
A digital watermark processing system primarily consists of two key processes: watermark embedding and watermark detection. (1) Watermark Embedding: Digital watermark (X), original image (I), and key/public key (K) are processed through a digital watermark embedding algorithm to generate the watermarked image (I*). This typically involves spatial domain techniques like LSB manipulation or frequency domain transformations such as DCT/DWT. (2) Watermark Detection: Digital watermark (X), watermarked image (I*), and key/public key (K) are processed through a detection algorithm to extract the watermark or verify its presence using correlation analysis or statistical methods. The program has been successfully tested and debugged.
A wavelet-based approach for image block processing with watermark embedding and extraction, suitable for beginners to learn and implement with practical code examples
Comprehensive DCT-domain digital watermarking source code (my graduation project outcome) featuring watermark embedding, watermark detection, robustness testing through attack experiments, and critical parameter calculations. This implementation provides practical MATLAB-based solutions for digital watermarking researchers and developers.
Make_chaos performs image scrambling to generate disordered images, facilitating secure watermark embedding through pixel position randomization algorithms and cryptographic permutation techniques.