A remote sensing image self-adaptive blind watermarking algorithm based on wavelet transformation

Based on the statistical characters of remote sensing image, this paper proposed firstly partition remote sensing image into sub-block images of suitable sizes, and then decomposing these sub-block images with biorthogonal 7/5 wavelet. A novel construction method of wavelet set of coefficients is adopted to embed binary watermarking image into sub-bands except low frequency sub-bands, and realizing a blind detection algorithm. The visual model of biorthogonal 9/7 wavelet is extended to construct a visual weighted analysis method based on the biorthogonal 7/5 wavelet domain quantization noises, thus making the strength of the embedded watermarking could self-adapt to the sub-blocks of the remote sensing image. Experimental results show that the proposed algorithm has great imperceptibility and is robust to the image intensity attack such as geometric transformation, noise adding, filtering, and compression. It performs better than that of the watermarking algorithm proposed by Ho in the robust, and being a practical blind watermarking algorithm.