Block-Based Adaptive Image Steganography Using LSB Matching Revisited  

作　　者：Wei Huang Yao Zhao Rong-Rong Ni 

机构地区：[1]with the Institute of Information Science, Beijing Jiaotong University and Beijing Key Laboratory of Advanced Information Science and Network Technology

出　　处：《Journal of Electronic Science and Technology》2011年第4期291-296,共6页电子科技学刊（英文版）

基　　金：supported in part by the National Science Foundation of China for Distinguished Young Scholars under Grant No. 61025013;Sino-Singapore JRP under Grant No. 2010DFA11010;National NSF of China under Grant No. 61073159;Fundamental Research Funds for the Central Universities under Grant No. 2009JBZ006

摘　　要：Recently, an edge adaptive image stegano- graphic method based on least significant bit （LSB） matching revisited （EA-LSBMR） has been proposed, which holds good visual quality and proper security under appropriate embedding rates. However, from the extensive experiments to EA-LSBMR, we find that the discrete Fourier transform （DFT） spectrum of pixelpairs differences histogram still reveals the presence of a secret message even in a low embedding rate. To enhance the security, a modified scheme is proposed in this paper, which can defeat the above-mentioned analysis and keep the visual quality better than EA-LSBMR in higher embedding rates. Experimental results using a latest universal steganalysis method have demonstrated the proposed method＇s good performance.Recently, an edge adaptive image stegano- graphic method based on least significant bit （LSB） matching revisited （EA-LSBMR） has been proposed, which holds good visual quality and proper security under appropriate embedding rates. However, from the extensive experiments to EA-LSBMR, we find that the discrete Fourier transform （DFT） spectrum of pixelpairs differences histogram still reveals the presence of a secret message even in a low embedding rate. To enhance the security, a modified scheme is proposed in this paper, which can defeat the above-mentioned analysis and keep the visual quality better than EA-LSBMR in higher embedding rates. Experimental results using a latest universal steganalysis method have demonstrated the proposed method＇s good performance.

关 键 词：Index Terms---Block-based steganography least significant bit matching revisited pixel-pairs differences histogram steganalysis. 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]