Explore MATLAB source code curated for "图像加密" with clean implementations, documentation, and examples.
This resource demonstrates image encryption using the Arnold scrambling method. Image encryption techniques generally involve transformations of the image matrix - this implementation focuses on the Arnold scrambling algorithm, providing valuable learning material for those interested in image security techniques with practical code examples showing pixel rearrangement implementations.
Image encryption implementation using chaotic sequences method, though without decryption source code, features excellent encryption performance through pseudorandom number generation - download to explore this robust protection technique.
Explaining the application of matrix Rubik's cube principles in image encryption with implementation insights.
A dual-image encryption program with test images included, implementing secure image privacy protection through MATLAB algorithms with configurable encryption options.
Visual cryptography serves as a critical method for encrypting sensitive data, particularly images, through algorithmic distribution into multiple secure shares that require specific decryption keys for reconstruction.
Image encryption through DCT and chaotic system integration, featuring slower processing speeds but valuable for educational implementation and algorithmic study
Application Background: Image encryption represents a critical research domain where conventional data encryption methods face challenges due to image-specific characteristics like pixel correlation and massive data volumes. While limited algorithms exist, some demonstrate strong performance under specific parameters. Multiple chaos mapping implementation algorithms will be explored through practical MATLAB coding examples. Key Technologies: Encryption, image encryption, data encryption, matrix operations, mathematical transformations, and chaos theory implementations.
An image encryption program based on chaotic systems implemented in MATLAB with detailed algorithm explanations and key function descriptions
This image encryption method based on Logistic chaotic mapping converts image data into binary format, generates chaotic sequences using the Logistic map, applies threshold-based binarization to create binary sequences, and implements encryption through logical operations between binary image data and chaotic binary sequences.
A self-developed image encryption program that requires MATLAB usage knowledge, designed for direct extraction and immediate use after downloading the compressed file.