Vulnerability image watermark algorithm based on Arnold-DWT-QR
In news profile image captioning,human eye focus more on the face details with high fre-quency.In order to realize the inextractibility of the watermark embedded profile image under any weak attack and the good perception,this paper puts forward a Arnold scrambling combined with discrete wavelet transform(DWT),orthogonal triangle decomposition method(QR)vulnerability image watermark algorithm.First,the watermarked image is encrypted by Arnold scrambling,and then the insensitive low-frequency details of the human eye in the B channel of the carrier image is extracted for QR decomposition.Finally,the QR decompo-sition of the encrypted watermark image is embedded in every element of the carrier image matrix R,so that less watermark information is embedded in every pixel of the carrier image.The experimental results show that the average peak signal-to-noise ratio(PSNR)is 51 dB,and the normalized correlation coefficient(NC)is 1.0.It cannot extract the complete watermark image under any intensity attack,and has good character news image authentication ability.
NETL
NSTL
万方数据
维普
