The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Difference-expansion based reversible data hiding and its steganalysis
Author:	Tian, Guangsen
View Online:	njit-etd2005-057 (xi, 51 pages ~ 3.1 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Master of Science
Program:	Electrical Engineering
Document Type:	Thesis
Advisory Committee:	Shi, Yun Q. (Committee chair) Manikopoulos, Constantine N. (Committee member) Zhou, MengChu (Committee member)
Date:	2005-05
Keywords:	Difference expansion technique Steganalysis
Availability:	Unrestricted
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%.