Exploring the Research Landscape of DCT-Based Video Steganography: A Systematic Review

The systematic literature review highlights significant advancements in DCT-based video steganography, particularly through hybrid techniques that combine DCT with other methods like DWT and error correction codes (ECC) to enhance imperceptibility and robustness. Notable contributions include the use of deep learning models, such as CNNs, to maintain visual quality while embedding data, and the development of coverless techniques that do not alter the original video content. The review also emphasizes the importance of performance metrics like PSNR and MSE for evaluating the effectiveness of these techniques.