ABSTRACT
The spread of digital information in the communication world has resulted in research into reversible data embedding techniques that combine information with the digital content, for example, audio, video, images, etc. Reversible data hiding (RDH) is the process of concealing information within other data (cover data) to achieve security or privacy objectives. Many reversible data hiding algorithms have been proposed in the last decade. In this chapter, various RDH schemes that offer high embedding capacity by maintaining the guaranteed image quality developed so far are discussed. Machine learning techniques have also been applied to various aspects of data hiding. The computational complexity and the issues related to reversibility of various RDH methods that have been developed so far are also analyzed. This survey is concluded by summarizing the performance comparison of the existing schemes in RDH.
