Implementation of LSB Matching Revisited Steganography Technique in MATLAB

This research presents an enhanced implementation of LSB Matching Revisited steganography technique in MATLAB environment. The project focuses on improving digital image steganography using the Least Significant Bit matching method with revisited modifications. Key implementation aspects include developing MATLAB functions for embedding secret messages into cover images while minimizing detectable statistical changes. The algorithm works by selectively modifying pixel values to match the secret data bits through sophisticated comparison operations rather than simple LSB replacement. Our implementation incorporates improved security features and robustness enhancements through advanced error diffusion techniques and adaptive embedding strategies. The MATLAB codebase includes core functions for image preprocessing, data encoding/decoding, and security analysis modules. This completed IEEE project contributes valuable insights and practical tools for advancing research and applications in the field of digital image steganography, providing a robust framework for secure data hiding with reduced detectability.