Computational geometry: an introduction
Computational geometry: an introduction
A simple randomized sieve algorithm for the closest-pair problem
Information and Computation
A reliable randomized algorithm for the closest-pair problem
Journal of Algorithms
Fast hierarchical clustering and other applications of dynamic closest pairs
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Divide-and-conquer in multidimensional space
STOC '76 Proceedings of the eighth annual ACM symposium on Theory of computing
Algorithms for processing K-closest-pair queries in spatial databases
Data & Knowledge Engineering
IBM Systems Journal
An Anomaly Intrusion Detection System Based on Vector Quantization
IEICE - Transactions on Information and Systems
Hiding secret data in images via predictive coding
Pattern Recognition
Reversible Steganography for VQ-Compressed Images Using Side Matching and Relocation
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Multimedia
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
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
A Reversible Data Hiding Scheme Based on Side Match Vector Quantization
IEEE Transactions on Circuits and Systems for Video Technology
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Steganographic methods usually produce distortions in cover images due to the process of embedding secret bits. These distortions are hard to remove, and thus the cover image cannot be recovered. Although the distortions are always small, they cannot be allowed for some sensitive applications. In this paper, we propose a reversible embedding scheme for VQ-compressed images, which allows the original cover image to be completely recovered after the extraction of the secret bits. The embedded payload in the proposed method comprises the secret bits plus the restoration information. In order to reduce the size of payload, we utilized the spatial correlations in the image as the restoration information and then compressed the correlations by a lossless compression method. In addition, an alternative pairing method for codewords was proposed to improve the stegoed image quality and control the embedding capacity. Experimental results showed that the proposed method has the benefit of high efficiency of the steganographic process, high image quality, and adaptive embedding capacity compared with other schemes.