Image-Based Information Concealment Using Encryption and Decryption Algorithms
Steganography involves embedding information within images while utilizing encryption and decryption algorithms to ensure data security during the concealment process.
Explore MATLAB source code curated for "隐写术" with clean implementations, documentation, and examples.
Steganography involves embedding information within images while utilizing encryption and decryption algorithms to ensure data security during the concealment process.
Implementation of steganography using LSB Matching method with configurable embedding rate parameter "alpha"
This program implements Least Significant Bit (LSB) steganography to embed secret data within carrier files, demonstrating practical information hiding through pixel manipulation in digital images.
This method implements steganography by embedding a secret image into a host image using the Least Significant Bit (LSB) substitution algorithm, which modifies the least significant bits of pixel values to hide information with minimal visual impact.
Implementation of LSB-based steganography combined with cryptographic algorithms for secure data concealment in digital images
This MATLAB-developed source code implements steganography techniques to embed hidden data (such as images) within cover images using Discrete Fourier Transform (DFT) methodology. The implementation focuses on frequency-domain data concealment through DFT coefficient manipulation.
This MATLAB-based steganography source code implements a medical data application that enables hiding various data types including images within cover images using least significant bit (LSB) substitution techniques.