Title :
A Generalization of LSB Matching
Author :
Li, Xiaolong ; Yang, Bin ; Cheng, Daofang ; Zeng, Tieyong
Author_Institution :
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing
Abstract :
Recently, a significant improvement of the well-known least significant bit (LSB) matching steganography has been proposed, reducing the changes to the cover image for the same amount of embedded secret data. When the embedding rate is 1, this method decreases the expected number of modification per pixel (ENMPP) from 0.5 to 0.375. In this letter, we propose the so-called generalized LSB matching (G-LSB-M) scheme, which generalizes this method and LSB matching. The lower bound of ENMPP for G-LSB-M is investigated, and a construction of G-LSB-M is presented by using the sum and difference covering set of finite cyclic group. Compared with the previous works, we show that the suitable G-LSB-M can further reduce the ENMPP and lead to more secure steganographic schemes. Experimental results illustrate clearly the better resistance to steganalysis of G-LSB-M.
Keywords :
data encapsulation; steganography; LSB matching; expected number of modification per pixel; finite cyclic group; information hiding; least significant bit matching steganography; Computer science; Digital images; Error correction codes; Helium; Mathematics; Payloads; Pixel; Signal processing algorithms; Steganography; Upper bound; Generalized least significant bit (LSB) matching (G-LSB-M); information hiding; least significant bit (LSB) matching; steganography; sum and difference covering set;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2008947