Image watermarking method and system based on significance detection and contourlet transformation
A technology of contourlet transformation and image watermarking, which is applied in the fields of information hiding and image processing
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Embodiment 1
[0055] Such as figure 1 As shown, the present invention proposes an image watermarking system based on saliency detection and contourlet transformation, including a watermark embedding module, an information transmission module, and a watermark extraction module:
[0056] The watermark embedding module is configured to perform the following actions: perform saliency detection on the carrier image to obtain a corresponding saliency map, and divide it into non-overlapping small blocks; then perform contourlet transformation on the carrier image to obtain a carrier image The low-pass subband of the image is divided into non-overlapping small blocks, and the number of blocks is the same as that of the saliency map; the quantization step size of each block is determined by the mean value of the saliency value and the energy distribution in the block , and use the quantization-based watermark embedding algorithm to embed the watermark bits into the maximum singular value of the low-...
Embodiment 2
[0060] Such as figure 2 As shown, the present invention also proposes an image watermarking method based on saliency detection and contourlet transformation, and the specific steps are as follows:
[0061] 1) Watermark embedding:
[0062] 1.1) Use the two-way information transfer model to carry out saliency detection on the carrier image, obtain the corresponding saliency map, divide it into M small blocks with a size of B×B that do not overlap each other, and calculate the mean value of the saliency value of each image block
[0063] 1.2) Using 3-layer non-subsampling contourlet transform, the adopted Laplacian pyramid filter structure and directional filter bank are both "pkva" filters, and the carrier image is subjected to contourlet transform to obtain the low-pass subband I J , divide it into M small blocks with a size of B'×B' that do not overlap each other, denoted as L 1 , L 2 ,...,L M , calculate the energy E of each image block;
[0064] 1.3) In each image bl...
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