Steganographic Techniques for High-Capacity Covert Communication in Images and Videos

This paper investigates advanced steganographic techniques tailored for high-capacity covert communication within images and videos. Traditional approaches are limited by low embedding capacity and susceptibility to detection. To address these challenges, cutting-edge methods including adaptive embedding algorithms, content-aware techniques, and deep learningbased approaches are explored. The research emphasizes the importance of balancing embedding capacity, security, and perceptual quality. It also discusses steganalysis implications and strategies for mitigating detection risks. By reviewing existing literature, this paper offers insights into state-of-the-art steganography for covert communication. Understanding these methods enables the development of more robust and secure communication systems to meet evolving challenges in information security and privacy.