Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Interactive Image Retrieval over the Internet
SRDS '98 Proceedings of the The 17th IEEE Symposium on Reliable Distributed Systems
Hyperspectral Data Exploitation: Theory and Applications
Hyperspectral Data Exploitation: Theory and Applications
Computer Methods and Programs in Biomedicine
A lossless data hiding scheme based on three-pixel block differences
Pattern Recognition
Histogram-based reversible data hiding technique using subsampling
Proceedings of the 10th ACM workshop on Multimedia and security
A Reversible Data Hiding Scheme Based on Block Division
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
Lossless Data Hiding Using Bit-Depth Embedding for JPEG2000 Compressed Bit-Stream
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Multiple layer data hiding scheme for medical images
Computer Standards & Interfaces
Reversible data hiding exploiting spatial correlation between sub-sampled images
Pattern Recognition
Reversible image watermarking using interpolation technique
IEEE Transactions on Information Forensics and Security
A subsampling and interpolation technique for reversible histogram shift data hiding
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Reversible watermarking techniques: an overview and a classification
EURASIP Journal on Information Security
A reversible watermarking based on histogram shifting
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
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 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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This research presents a multi-resolution reversible data-hiding algorithm to enable multi-scale marked images that are transmitted progressively to be exactly recovered at the receiver side once hidden data has been extracted. Based on the spatially hierarchical multi-layer structures of progressive-image transmission, the proposed algorithm first decimates the incoming image pixels into a pre-specified number of hierarchical layers of pixels. Then, it modifies pixel values in each hierarchical layer by shifting the interpolated-difference-values histogram between two neighboring layers of pixels to embed secret information into the corresponding hierarchical layer images. The proposed algorithm offers a reversible data-hiding ability for applications that use progressive image transmission to render progressive-image authentication, information-tagging, covert communications, etc. With progressive-reversible data-hiding, users of progressive image transmission can receive each original progressive image and complete hidden messages related to the received progressive image. This allows users to make real-time definite decisions according to an application's requirements. In contrast to other reversible data-hiding schemes, the algorithm proposed in this study features reversible data-hiding in progressive-image transmission based on a hierarchical decimation and interpolation technique. The interpolating process is used to reduce the difference values between the target pixel values in one progressive layer and their interpolated ones. This increases the hiding capacity of interpolation-differences histogram shifting. The experimental results demonstrate that the proposed method provides a greater embedding capacity and maintains marked images at a higher quality. Moreover, the proposed method has a low computational complexity as it requires only simple arithmetic computations.