The invention discloses a self-adaptive image
watermark embedding method based on
wavelet transformation and visual characteristics in the technical field of
digital image information security. The self-adaptive image
watermark embedding method includes the steps of performing grey
processing on an image, calculating a comprehensive
visual masking value of each pixel in the image, performing
wavelet transformation on the image to obtain a low-frequency component
wavelet coefficient, a high-frequency horizontal component wavelet coefficient, a high-frequency vertical component wavelet coefficient and a high-frequency
diagonal component wavelet coefficient of each pixel in the image, calculating
visual masking values of the low-frequency component wavelet coefficients and
visual marking values of the high-frequency
diagonal component wavelet coefficients respectively, averagely dividing a
watermark sequence into two watermark sub-sequences, determining the positions where the low-frequency component wavelet coefficients are embedded into a watermark, embedding the low-frequency component wavelet coefficients into one watermark sub-sequence, determining the positions where the high-frequency
diagonal component wavelet coefficients are embedded into a watermark, embedding the high-frequency diagonal component wavelet coefficients into the other watermark sub-sequence, and finally performing wavelet transformation to obtain the image with the watermarks embedded. According to the self-adaptive image
watermark embedding method,
invisibility and robustness of the watermarks are improved.