Robustness digital water mark embedding and detection method based on local content features
A content feature, digital watermarking technology, applied in image data processing, image data processing, instruments, etc., can solve the problems affecting the robustness and imperceptibility of digital watermarking, limiting the ability of the system to accommodate watermarking information, etc.
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[0056] Watermark embedding is carried out as follows:
[0057] Step 1: Extract feature points from the original grayscale image to obtain the feature point set of the original image:
[0058] Step 11: Calculate the probability density of each point in the image brightness matrix. The brightness probability density of each point in the matrix can be estimated by the kernel function. Point The brightness probability density at The estimated value of
[0059]
[0060] in, W is the observation window of the probability density of each point, so X centered window W a bit, is in the image point brightness, is the bandwidth in image space, is the bandwidth in luminance space, C is the corresponding normalization constant, , is the kernel function (usually Gaussian):
[0061]
[0062] Step 12: Find each point The second derivative of the probability density of , :
[0063]
[0064] Step 13: Take , To enter information, you can build a point ...
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