A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion-Free Data Embedding for Images
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Visibility of wavelet quantization noise
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
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Reversible data hiding has drawn intensive attention recently. Reversibility means to embed data into digital media and restore the original media from marked media losslessly. Reversible data hiding technique is desired in sensitive applications that require no permanent loss of signal fidelity. In this paper, we exploit statistical property of wavelet detail coefficients and propose a novel reversible data hiding for digital image by modifying integer wavelet coefficients slightly to embed data. Our algorithm doesn’t need any lossless compression technique and provides several embedding modes for choice according to capacity and visual quality requirement. Experimental results show that our algorithm achieves high capacity while keeping low distortion between marked image and the original one.