A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
A novel image-hiding scheme based on block difference
Pattern Recognition
High-capacity image hiding scheme based on vector quantization
Pattern Recognition
New image steganographic methods using run-length approach
Information Sciences: an International Journal
New directions in cryptography
IEEE Transactions on Information Theory
A virtual image cryptosystem based upon vector quantization
IEEE Transactions on Image Processing
DWT-based watermarking technique associated with embedding rule
ISCGAV'10 Proceedings of the 10th WSEAS international conference on Signal processing, computational geometry and artificial vision
A simple image encoding method with data lossless information hiding
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
High-payload image hiding with quality recovery using tri-way pixel-value differencing
Information Sciences: an International Journal
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Image hiding is a technique that embeds the important images into a cover image such that the important images are imperceptible and can be securely transmitted to the receiver. In such research, the common goals are to enlarge the embedding capacity as much as possible since the visual quality of the cover image is degraded slightly and to keep high visual quality of the important images when they are extracted from the stego image. In this paper, we propose an image-hiding method based on the two-codebook combination, the three-phase block matching procedure, and the modulus substitution. The proposed method can achieve these benefits: (1) multiple, relatively large important images can be embedded into a relatively small cover image; (2) the quality of the stego image after embedding the secret data is not distorted significantly; (3) the important images have an acceptable visual quality after they are extracted. The experimental results also show that the proposed method is more flexible than previous methods.