Difference-expansion based reversible data hiding and its steganalysis

A novel reversible data embedding method was reported in a recent IEEE journal article. The method was based on difference expansion (DE) technique. It used redundancy in digital images to achieve a high embedding capacity, while keeping visual distortion of the stego-image low. In this thesis, this technique was studied and experimentally evaluated. An effective steganalysis scheme for this DE-based reversible data embedding method was proposed, which used 12-dimensional feature vectors and a Bayes Classifier. The proposed steganalysis scheme steadily achieved a correct classification rate of 99%.

Name thesis:degree_name

Master of Science in Electrical Engineering - (M.S.)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2005

Author dc:creator

• Tian, Guangsen

Contributors dc:contributor

• Yun Q. Shi
• Constantine N. Manikopoulos
• MengChu Zhou

• Difference expansion technique
• Steganalysis
• Electrical and Electronics

Repository record dc:identifier

https://digitalcommons.njit.edu/theses/485

OAI identifier oai:identifier

oai:digitalcommons.njit.edu:theses-1484