Marcin PERY and Robert WASZKOWSKI
Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
This study focuses on spatial domain video steganography, motivated by the increasing need for secure data embedding methods that leverage natural video properties to remain undetectable. Existing literature has largely overlooked the detailed statistical characterization of naturally occurring pixel color differences across consecutive video frames. This gap hinders the development of encoding techniques that effectively exploit these variations to enhance the imperceptibility of hidden data. To address this void, the study analyzes the statistical properties of pixel color differences in video frames, examining histograms and frequency patterns to identify predictable natural variations. Using a diverse sample of video files, the analysis revealed distinct patterns in color changes, which are crucial for understanding how to embed data seamlessly within the inherent noise of video content. The findings contribute both theoretically and practically: theoretically, by offering a deeper understanding of the statistical behavior of pixel color differences, and practically, by providing a framework to inform and guide the development of advanced spatial domain steganographic methods. These methods aim to exploit natural noise to reduce detectability while maintaining video quality. This work lays the foundation for further research into resilient and imperceptible steganographic techniques, addressing a critical need in secure data communication.