Mining generalized association rules
Future Generation Computer Systems - Special double issue on data mining
A DCT-domain system for robust image watermarking
Signal Processing
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
Simple association rules (SAR) and the SAR-based rule discovery
Computers and Industrial Engineering
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Watermarking text document images using edge direction histograms
Pattern Recognition Letters
The Digital Watermarking Method by Using both Patchwork and DCT
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
A watermarking technique based on one-way hash functions
IEEE Transactions on Consumer Electronics
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Hidden digital watermarks in images
IEEE Transactions on Image Processing
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A new watermarking technique called associative watermarking is proposed in this paper. The watermark in our new scheme will be embedded by applying the concept of association rules borrowed from the field of data mining. We implant the watermark's rules into the original image by changing a very small portion of the image's pixels during the rules alignment process. As a result, the robustness can be enhanced by emphasizing the specific rules mined from critical areas in the original image. Instead of transforming the watermark into its bit pattern, we just mine the association rules from the watermark and embed them into a colorful image. Our experimental results reveal that the PSNR value of the image after watermark implanting exceeds 40, and more than 90% of the watermarked images can be accurately recognized after similarity checking.