Local linear transforms for texture measurements
Signal Processing
Detecting LSB Steganography in Color and Gray-Scale Images
IEEE MultiMedia
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
Second Generation Benchmarking and Application Oriented Evaluation
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Bit-Plane Decomposition Steganography Combined with JPEG2000 Compression
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Detecting LSB matching by applying calibration technique for difference image
Proceedings of the 10th ACM workshop on Multimedia and security
A fusion of maximum likelihood and structural steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
A general framework for structural steganalysis of LSB replacement
IH'05 Proceedings of the 7th international conference on Information Hiding
Multi bit plane image steganography
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems
IEEE Transactions on Information Forensics and Security
Optimized Feature Extraction for Learning-Based Image Steganalysis
IEEE Transactions on Information Forensics and Security
Information Sciences: an International Journal
A hybrid embedded steganography technique: optimum pixel method and matrix embedding
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Steganalysis of LSB matching revisited for consecutive pixels using b-spline functions
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Text split-based steganography in OOXML format documents for covert communication
Security and Communication Networks
Adaptive image data hiding in edges using patched reference table and pair-wise embedding technique
Information Sciences: an International Journal
A game-theoretic approach to content-adaptive steganography
IH'12 Proceedings of the 14th international conference on Information Hiding
An adaptive LSB matching steganography based on octonary complexity measure
Multimedia Tools and Applications
Distortion function designing for JPEG steganography with uncompressed side-image
Proceedings of the first ACM workshop on Information hiding and multimedia security
Embedding change rate estimation based on ensemble learning
Proceedings of the first ACM workshop on Information hiding and multimedia security
Steganalysis of a PVD-based content adaptive image steganography
Signal Processing
Information Sciences: an International Journal
New channel selection criterion for spatial domain steganography
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
A study of optimal matrix for efficient matrix embedding in F3
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Edge based steganography on colored images
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Secret sharing with multi-cover adaptive steganography
Information Sciences: an International Journal
Genetic algorithms based data hiding scheme for digital images with LSBMR
International Journal of Information and Computer Security
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The least-significant-bit (LSB)-based approach is a popular type of steganographic algorithms in the spatial domain. However, we find that in most existing approaches, the choice of embedding positions within a cover image mainly depends on a pseudorandom number generator without considering the relationship between the image content itself and the size of the secret message. Thus the smooth/flat regions in the cover images will inevitably be contaminated after data hiding even at a low embedding rate, and this will lead to poor visual quality and low security based on our analysis and extensive experiments, especially for those images with many smooth regions. In this paper, we expand the LSB matching revisited image steganography and propose an edge adaptive scheme which can select the embedding regions according to the size of secret message and the difference between two consecutive pixels in the cover image. For lower embedding rates, only sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate increases, more edge regions can be released adaptively for data hiding by adjusting just a few parameters. The experimental results evaluated on 6000 natural images with three specific and four universal steganalytic algorithms show that the new scheme can enhance the security significantly compared with typical LSB-based approaches as well as their edge adaptive ones, such as pixel-value-differencing-based approaches, while preserving higher visual quality of stego images at the same time.