A Robust Remote Sensing Image Watermarking Algorithm Based on Region-Specific SURF

Abstract

Remote sensing image watermarking algorithm has weak resistance to geometric attacks; therefore, paper proposes a reversible watermarking algorithm based on SURF (Speeded Up Robust Features) feature points to select ROI and embed mid and low-frequency subbands, respectively, which can effectively resist geometric attack. The algorithm first extracts the SURF feature points of the carrier and then performs an inverse wavelet transform on the carrier image to filter out the low-frequency coefficients of the ROI and the intermediate frequency coefficients of the non-interest area (ROB). With sampling pyramid decomposition, the near subband after watermark decomposition is embedded in the low-frequency subband of the region of interest, and the residual subband is embedded in the intermediate frequency coefficient of the non-interesting region. Experimental data show that the algorithm can resist conventional geometric attacks. The similarity of the watermark is high, and the NC value is kept above 0.89, which has good reversibility and robustness.