A Blind Watermarking Algorithm Based on SMVM
Lili Cui · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2004
To propose an adaptive blind watermarking algorithm based on SMVM. By analyzing the characteristic of detail subband coefficients of the image after discrete wavelet transform, the mean and variance of the detail subbands are applied to modify the wavelet coefficients adaptively, and the embedded watermark is invisible to human eyes and adapted to the original image. This is a blind watermark algorithm to confirm the copyright without the original image and the watermark is a meaningful binary image. The experimental results and attack analysis show that the proposed algorithm is effective and robust to common image processing operations and some geometric attacks, such as JPEG/JPEG2000 lossy compression, additive noise, cropping, pixel_shift, and so on.