Explore MATLAB source code curated for "数字水印" with clean implementations, documentation, and examples.
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
DCT-Based Digital Watermarking: Algorithm Implementation and Technical Applications
Implementation of image watermark embedding and extraction, comparative analysis of extraction performance under various image processing operations, and robustness estimation with code-based evaluation methodologies
Implementation of image logarithmic polar coordinate transformation with rotation invariance, applicable for geometric attack resistance in digital watermarking systems
This project presents a MATLAB implementation of the Digital Watermarking DCT (Discrete Cosine Transform) algorithm, accompanied by a detailed experimental report. The documentation includes comprehensive algorithm interpretation covering implementation approaches, key functions, and technical insights into digital watermark embedding and extraction processes.
Source code implementation of a DCT-based digital watermarking algorithm, providing valuable reference material for students and researchers studying digital watermarking technologies. The implementation includes core processing functions and detailed comments demonstrating practical embedding and extraction techniques.
Digital watermarking image processing methods provide excellent reference material for researchers working in image watermarking, including implementation techniques and algorithm explanations.
Multiple programs implementing digital watermarking through echo hiding method, featuring algorithm explanations and key function descriptions - contributions and sharing welcome
This paper presents a wavelet transform-based digital watermarking algorithm for image protection, implemented using MATLAB. The technique embeds watermark information into high-frequency sub-band texture regions of wavelet-transformed images, leveraging human visual system characteristics to ensure imperceptibility. Watermark extraction is performed using both watermarked and original images. Experimental results demonstrate excellent concealment properties and robust resistance against common image processing attacks.
Implementation of DWT-Based Digital Watermarking Algorithm with MATLAB Code Examples and Technical Explanations