Watermark embedding method and detection method based on polar-harmonic-Fourier moment
A technology of watermark embedding and statistical modeling, applied in computing, image data processing, instruments, etc., can solve the problems of small watermark capacity, irresistible geometric attack, etc., achieving excellent robustness, resistance to geometric attacks and conventional image processing attacks , the effect of strong imperceptibility
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Embodiment 1
[0053] as attached figure 1 As shown, the watermark embedding method based on polar harmonic-Fourier moment statistical modeling of the present invention comprises the following steps:
[0054] S100. Construct the original image block: divide the original image into N non-overlapping image blocks, calculate the entropy value of each image block, and select L image blocks with high entropy values as the original image block, N is a natural number, and N ≥L, L is the watermark length;
[0055] S200. Construct the extreme harmonic-Fourier moment of the original image block: calculate the extreme harmonic-Fourier moment of each original image block, and select the moment value P n,m is the polar harmonic-Fourier moment value corresponding to the original image block;
[0056] S300. Embedding a watermark to the original image block: based on the multiplicative watermark embedding method, embed the watermark into the magnitude of the hyperharmonic-Fourier moment value of each or...
Embodiment 2
[0079] as attached figure 2 As shown, by embedding the watermark into the image through the watermark embedding method based on the polar harmonic-Fourier moment statistical modeling disclosed in Embodiment 1, the image to be detected with the watermark embedded can be obtained. Moment's watermark detection method can perform watermark detection on the image to be detected with a watermark above, and the watermark detection includes the following steps:
[0080] S100. Construct the original image blocks to be detected: divide the image to be detected into N non-overlapping image blocks, calculate the entropy value of each image block, arrange the above N image blocks in descending order according to the size of the entropy value, and select the top L image blocks with high entropy values are used as original image blocks to be detected;
[0081] S200. Construct the extreme harmonic-Fourier moment of the original image block to be detected: calculate the extreme harmonic-Fo...
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