Research On High Robustness Zero Watermarking And Its Application

In order to solve problems of the traditional digital watermarking technology,such as either little information of watermarking is susceptible to attract attack or too much information in the carrier will affect the quality of the carrier,this paper proposed a Zero Watermark Algorithm.The algorithm uses Schur Decomposition Technology to improve efficiency,reducing false positives,and double encryption to enhance security.Firstly,the low-frequency block of the original carrier is extracted and Schur decomposition is carried out to obtain the stable value.This algorithm first extracts the low-frequency block of the original carrier and carries out Schur decomposition to obtain the stable value,and then constructs the transition matrix through the upper triangular matrix,and then constructs the characteristic matrix by comparing the average value of the matrix elements with the elements of the matrix.After the watermark information embedded in the carrier is encrypted by chaotic mapping and Fibonacci transformation,the watermark is constructed by logic operation with the feature matrix constructed by the carrier in the previous step.Finally,the watermark is registered in the third-party authoritative certification authority.Through many experiments,the similarity data tested by different carriers are kept below 0.48,indicating that the algorithm can effectively reduce the false alarm rate.Compared with the experimental data of zero watermark based on wavelet transform in the literature,that the algorithm has a good time efficiency.In addition,on the basis of Schur decomposition watermarking algorithm,in order to further improve the resistance to geometric attack of watermark algorithm,the algorithm is improved,and SIFT transform technology is introduced.The improved algorithm firstly use Scaleinvariant feature transform,determine the quadrilateral security area around in the center of the carrier,and then to the secondary safety area redundant discrete wavelet transform,then the lowfrequency area is extracted after the transformation processing,structural transition matrix,characteristic matrix,watermarking,finally the watermark to a third party.Through the analysis of experimental data,the anti-geometric aggression of the improved algorithm increased by 14.21%,indicating that the improved algorithm has a good anti-geometric aggression.Third party registration innovative digital watermarking mechanism introduced effectively solves the problem that the watermarking embedded into the carrier affects the observability of the carrier.