Robust image watermarking method based on joint statistical model correction
An image watermarking and statistical model technology, applied in image watermarking, image data processing, image data processing, etc., can solve problems such as shearing, rotation, scaling, and poor translation resistance, so as to improve robustness and accuracy Effect
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[0038] The method of the present invention includes three stages: watermark embedding, geometric correction, and watermark extraction.
[0039] Convention: I refers to the host image; b is the binary watermark image, the size is ; Indicates the pixel value of the embedded watermark; Represents the low frequency subband coefficient; H represents the high frequency subband coefficient; Indicates the watermark coefficient to be embedded; m is the quantization step size; Represents a watermarked image; Indicates the watermarked image after correction; Indicates the pixel value of the extracted watermark;
[0040] The specific steps are as Figure 5 Shown:
[0041] a. Initial setup
[0042] Obtain the host image I and initialize the settings;
[0043] b. Watermark embedding
[0044] b.1 Perform the second-level PDTDFB transformation of the host image I to get 1 And several H, set the decomposition parameter to [23];
[0045] b.2 pairs Perform block processing, each block size is ;
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