A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
A high quality steganographic method with pixel-value differencing and modulus function
Journal of Systems and Software
An Information Hiding Scheme Using Sudoku
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
A natural image quality evaluation metric
Signal Processing
A Minimal Euclidean Distance Searching Technique for Sudoku Steganography
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 01
Digital Watermarking and Steganography
Digital Watermarking and Steganography
Reversible data hiding for high quality images using modification of prediction errors
Journal of Systems and Software
Image quality assessment based on multiscale geometric analysis
IEEE Transactions on Image Processing
Near-optimal solution to pair-wise LSB matching via an immune programming strategy
Information Sciences: an International Journal
Reduced-reference IQA in contourlet domain
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel adaptive steganography based on local complexity and human vision sensitivity
Journal of Systems and Software
Edge adaptive image steganography based on LSB matching revisited
IEEE Transactions on Information Forensics and Security
Steganalysis by subtractive pixel adjacency matrix
IEEE Transactions on Information Forensics and Security
Gibbs construction in steganography
IEEE Transactions on Information Forensics and Security
Improved steganographic method preserving pixel-value differencing histogram with modulus function
EURASIP Journal on Advances in Signal Processing
An optimal image watermarking approach based on a multi-objective genetic algorithm
Information Sciences: an International Journal
Information Sciences: an International Journal
An intelligent chaotic embedding approach to enhance stego-image quality
Information Sciences: an International Journal
Optimizing least-significant-bit substitution using cat swarm optimization strategy
Information Sciences: an International Journal
IEEE Transactions on Signal Processing - Part II
Wet paper codes with improved embedding efficiency
IEEE Transactions on Information Forensics and Security
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems
IEEE Transactions on Information Forensics and Security
Sparse transfer learning for interactive video search reranking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
IEEE Transactions on Information Forensics and Security - Part 2
A Novel Data Embedding Method Using Adaptive Pixel Pair Matching
IEEE Transactions on Information Forensics and Security - Part 2
Secret sharing with multi-cover adaptive steganography
Information Sciences: an International Journal
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Reference table (RT) based embedding method embeds secret digits into pixel pairs under the guidance of a reference table. Most of the existing RT-based methods either require elaborate conversions among different bases, or have limited embedding capacity. In this paper, we use a patched reference table (PRT) as a guide and propose a PRT method to provide a better image quality and extendable embedding capacity. We also exploit the concept of pixel value differencing (PVD) and propose another method PRT-PVD. In the traditional PVD-based methods, the shape of the difference histograms of the stego images is significantly altered and, thus, vulnerable to some steganalyzers. PRT-PVD adopts the PRT method and uses a specially designed embedding sequence to preserve the difference histogram shape. Experimental results reveal that the proposed PRT and PRT-PVD methods not only have better embedding efficiency over the existing methods, but also are robust to detection by modern steganalysis tools.