Digital image watermarking capacity and detection error rate
Pattern Recognition Letters
Watermarking capacity analysis based on neural network
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
The minimum detectable capacity of digital image information hiding
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
The maximum capacity and minimum detectable capacity of information hiding in digital images
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
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Capacity and reliability are two important properties of digital watermarking. In this paper, we realize an adaptive watermarking capacity analysis method, and discuss watermarking capacity in this scenario. We also analyze the relation between watermarking capacity and watermark detection Bit Error Rate (BER), and derive the relation between capacity and the limit of BER. According to the result of our research, watermark detection BER is mainly influenced by the watermarking average energy and watermarking capacity. The BER rises with the increase of watermarking capacity.