Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Adaptive lossless steganographic scheme with centralized difference expansion
Pattern Recognition
An extended difference expansion algorithm for reversible watermarking
Image and Vision Computing
Histogram-based reversible data hiding technique using subsampling
Proceedings of the 10th ACM workshop on Multimedia and security
IEEE Transactions on Multimedia
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
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An improved lossless data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. In the proposed method, a cover image is reordered into a sequence using space filling curves. For each pixel (except the first pixel) in the sequence, a pixel difference is generated between the pixel and its neighbor pixel. Due to the inherent structure of images causes a correlation of adjacent pixels, by utilizing the space filling curve scanning we can improve the embedding capacity while keeping the distortion low. Unlike most of the currently available lossless data hiding approaches, in which the visual quality of the stegoimage will be drastically degraded if the multi-layer embedding is applied, the proposed scheme can apply the multi-layer embedding to the cover image conveniently. Experimental results show that the proposed algorithm provides high embedding capacity while keeping the distortions low.