A Zero-Watermarking Algorithm for Remote Sensing Images Based on Dual Chaotic Mapping
Most of the existing remote sensing image zero-watermarking algorithms are designed for specific types of remote sensing images,which have poor universality and are not robust to watermark combination attacks.This paper proposes a remote sensing image zero-watermarking algorithm based on dual chaotic mapping.① Non-subsampled shearlet transform is performed on remote sensing images,and low-frequency images are selected for discrete cosine transform.② The transformed image is divided into blocks,and Schur decomposition is performed on each sub-block.The feature matrix is constructed by comparing the first element value and the mean value in the upper triangular matrix of each sub-block.③ The remote sensing image is scrambled by one-dimensional Logistic mapping,and a binary sequence is obtained by XOR operation with the feature matrix.④ Combined with 2D-LALM-Tent mapping and Arnold scrambling watermark image,the zero watermarking is obtained by XOR operation on the aforementioned binary sequence and the binary sequence of the scrambled watermarking.Experiments show that the proposed algorithm has good applicability to different types of remote sensing images,and has strong robustness to watermark combination attacks without accuracy loss.It can be used for copyright protection of various types of remote sens-ing images and provide security for the sharing of remote sensing images.
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