Abstract:

In this paper,an adaptive blind watermarking algorithm based on the wavelet transform and the human visual perception characteristics is proposed by drawing on the concept of the human perception-based image com-pression.In this algorithm ,the carrier image is first decomposed by means of the wavelet transform,and the wave-let coefficients of the image are classified into 9 kinds according to the characteristics of the illumination mask,the
texture mask and the edge mask in the visual system.Then,the bilevel waterm arking image is disaranged for 3 times,thus obtaining three random waterm arking sequences,which,according to the classification of the wavelet coefi cients,are finally embedded into 3 bands of carrier wavelet(‘oeflq(’ients with different intensities.The pro-posed algorithm can detect watermarking images without the help of the original carier images and the original wa· termarking images.Experimental resu lts show that the proposed algorithm is robust enough to some image degrada-tion processes such as cropping,J PE( compression,noise adding,image enhancing and filtering.

Key words: blind waterm arking, waveletlet, visual perception characteristic, distortion threshold