RBF neural network-based image watermark embedding and extraction method and device
A neural network algorithm and neural network technology, applied in the field of image watermarking, can solve the problems of poor robustness of embedded watermark images, and achieve the effects of good generalization ability, improved robustness, strong anti-noise ability and repair ability.
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[0072] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.
[0073] 1. Image watermark embedding and extraction method based on RBF neural network, the steps are as follows:
[0074] (1) Watermark image encryption
[0075] Scramble the original watermark image W with a size of 64×64, where W(i,j) is the pixel value of the original watermark image at position (i,j), that is, W={W(i,j),1≤ i≤64, 1≤j≤64}. The original watermark image is scrambled by affine transformation, and the encrypted watermark image is obtained by BP neural network algorithm according to the relationship between the original watermark image and the scrambled watermark image.
[0076] (1) Affine transformation
[0077] In this embodiment, an improved affine transformation formula is used to transform the original watermark image to obtain a scrambled image. The affine transformation expression is as follows:
[0078] When x
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