MATLAB-Based Source Code Implementation for Image Steganography Using Discrete Fourier Transform

This documentation presents a MATLAB-based source code implementation utilizing steganography principles for secure data embedding. Steganography enables the concealment of sensitive information, including images, within carrier images while maintaining visual imperceptibility. The core algorithm employs Discrete Fourier Transform (DFT), a mathematical framework for signal analysis and frequency-domain processing. The implementation involves key MATLAB functions including fft2() for 2D Fourier transform computation, ifft2() for inverse transformation, and strategic manipulation of frequency coefficients to embed payload data. By modifying specific DFT coefficients in the frequency domain, the method ensures hidden data remains undetectable to human visual perception while maintaining carrier image integrity. This approach provides robust data protection capabilities for secure communication systems, with the code featuring adjustable embedding parameters for optimizing capacity-versus-visibility tradeoffs. The technical implementation includes phase and magnitude coefficient modification algorithms, error-correction mechanisms, and payload extraction routines that reliably recover embedded data without requiring the original cover image. The DFT-based method demonstrates particular effectiveness against common image processing operations and compression techniques.