Document Type
Thesis
Date of Award
Spring 5-31-2005
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Yun Q. Shi
Second Advisor
Constantine N. Manikopoulos
Third Advisor
MengChu Zhou
Abstract
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%.
Recommended Citation
Tian, Guangsen, "Difference-expansion based reversible data hiding and its steganalysis" (2005). Theses. 485.
https://digitalcommons.njit.edu/theses/485