MATLAB Steganography Code for Hiding and Extracting Text Files and Images

This MATLAB steganography code enables hiding and extracting text files and images through various steganographic techniques. The implementation supports the following functionalities:

1. Text and Image Hiding: Embeds text files and images into other files using steganography techniques. The code typically utilizes LSB (Least Significant Bit) modification in image files or frequency domain transformations for audio files, where data is embedded by modifying the least perceptible components of the carrier file.

2. Hidden Data Extraction: Recovers concealed text files and images from carrier files using corresponding extraction algorithms. The extraction process involves reading the embedded bits from the modified LSB positions or transformed domains and reconstructing the original data.

3. Multiple Algorithm Support: Provides various steganography algorithm options including spatial domain methods (like simple LSB replacement), transform domain methods (DCT/DWT-based), and adaptive techniques. Users can select appropriate algorithms based on their specific requirements for capacity and robustness.

4. Flexibility and User-Friendly Interface: Written in MATLAB with modular functions for different operations, the code offers flexibility through configurable parameters and an intuitive GUI. Key functions include embedData() for hiding operations and extractData() for recovery, with clear input/output parameter handling.

This implementation demonstrates practical steganography techniques with comprehensive error handling and validation checks to ensure data integrity during both embedding and extraction processes.