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copyright image, and embedding merely the important
information of the image into the database, we reduce the
change of the database value. It is also easy to judge the
database when extracting the watermark. Copyright
attribution is extremely important in areas where data
accuracy is critical, such as medicine and aerospace. At the
same time, the differential evolution algorithm is introduced
to search for the optimal watermark embedding position,
which improves the invisibility of the watermarking
algorithm, and also improves the robustness of the algorithm.
Besides that it can restore the copyright map and identify the
copyright attribution when encountering a malicious attack.
Motivated by our preliminary results in this work, we
believe this algorithm might provide important insights
for database watermarking, and also provide useful
techniques for a wide range of real world applications.
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A CKNOWLEDGMENT
The research work was supported by Natural Science
Foundation of Hainan Province, China No.619MS073, by
National Natural Science Foundation of China No.
61262076.
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