A difference expansion oriented data hiding scheme for restoring the original host images
Journal of Systems and Software
A new framework of LSB steganalysis of digital media
IEEE Transactions on Signal Processing - Part II
Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform
IEEE Transactions on Information Forensics and Security - Part 1
IEEE Transactions on Multimedia
Spread spectrum image steganography
IEEE Transactions on Image Processing
Hierarchical watermarking for secure image authentication with localization
IEEE Transactions on Image Processing
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Lossless generalized-LSB data embedding
IEEE Transactions on Image Processing
Reversible data embedding into images using wavelet techniques and sorting
IEEE Transactions on Image Processing
Lossless watermarking for image authentication: a new framework and an implementation
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Study on reversible data hiding scheme for digital images
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Adaptive reversible watermarking with improved embedding capacity
Journal of Systems and Software
Genetic algorithm and difference expansion based reversible watermarking for relational databases
Journal of Systems and Software
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To enhance the embedding capacity of a reversible data hiding system, in this paper, a novel multiple-base lossless scheme based on JPEG-LS pixel value prediction and reversible difference expansion will be presented. The proposed scheme employs a pixel value prediction mechanism to decrease the distortion caused by the hiding of the secret data. In general, the prediction error value tends to be much smaller in smooth areas than in edge areas, and more secret data embedded in smooth areas still meets better stego-image quality. The multiple-base notational system, on the other hand, is applied to increase the payload of the image. With the system, the payload of each pixel, determined by the complexity of its neighboring pixels, can be very different. In addition, the cover image processed by the proposed scheme can be fully recovered without any distortion. Experimental results, as shown in this paper, have demonstrated that the proposed method is capable of hiding more secret data while keeping the stego-image quality degradation imperceptible.