Blind Decoding of Image Steganography Using Entropy Model

Chanran Kim, Sang Hwa Lee, Jaehoon Lee, Jong-Il Park
  • Electronics Letters, March 2018, the Institution of Engineering and Technology (the IET)
  • DOI: 10.1049/el.2017.4276

Image steganography

What is it about?

Image steganography is to hide some information naturally in the image so that other users can not notice the existence of infomration. We made a scheme to discriminate the correctness of decoding method by observing the extracted image information. When the information is correctly extracted, it is a normal image structure. Our approach was to find the correctness of image structure.

Why is it important?

There are tremendous encoding method to hide image information, thus it is impossible to find the decoding method by inspecting the decoded information. Our method automated the discrimination of correct decoding.

Perspectives

Sang Hwa Lee (Author)
Seoul National University

Image steganography is an interesting and important topic in information hiding technologies, and blind decoding is also a challenging problem. Our scheme is a guide to blind decoding and discrimination of image steganography.

The following have contributed to this page: Sang Hwa Lee

In partnership with: