Evaluating image steganography techniques: Future research challenges

Steganography is the art of “concealed writing” and it refers to techniques that hide information inside innocuous looking objects known as “Cover Objects”. There are different types of covers available for embedding secret information but images are pervasive in day to day applications and have high redundancy in representation. Thus, they are appealing contenders to be used as cover objects. This paper evaluates the different algorithms for digital image steganography both in the spatial and transform domain like LSB substitution, OPAP, Pixel Indicator Technique, F5 etc. and tries to put light on some possible future research directions in the topic of consideration.