Method and apparatus for embedding and extracting image watermarking based on BP and RBF neural networks

A BP neural network and image watermarking technology, applied in image data processing, image data processing, instruments, etc., can solve the problem of low confidentiality of watermarked images

Inactive Publication Date: 2016-03-09
HENAN NORMAL UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, and proposes an image watermark embedding and extraction method based on BP and RBF neural networks, which

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  • Method and apparatus for embedding and extracting image watermarking based on BP and RBF neural networks
  • Method and apparatus for embedding and extracting image watermarking based on BP and RBF neural networks
  • Method and apparatus for embedding and extracting image watermarking based on BP and RBF neural networks

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Embodiment Construction

[0048] 1. Image watermark embedding and extraction method based on BP and RBF neural network, the steps are as follows:

[0049] (1) Watermark image scrambling

[0050] 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. According to the relationship between the original watermark image and the scrambled watermark image, the encrypted scrambled watermark image is obtained through the BP neural network algorithm, and the affine transformation is combined with the BP neural network. Double encryption of watermarked images.

[0051] (1) Affine transformation

[0052] 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:

[0053] When x

[0054...

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Abstract

The present invention relates to a method and an apparatus for embedding and extracting an image watermarking based on BP and RBF neural networks. An original watermarking image is scrambled through affine transformation, then the scrambled watermarking image is encrypted through an improved BP neural network algorithm, after that, the encrypted watermarking image is embedded into an original carrier image; the encrypted watermarking image embedded in the carrier image is extracted, then the encrypted watermarking image is recovered through affine inverse transformation and a BP neural network algorithm, so as to obtain the original watermarking image. Through adoption of the method and the apparatus, secondary encryption for the watermarking image is achieved, the number of keys is increased, and degree of safety of the watermarking is improved.

Description

technical field [0001] The invention relates to an image watermark embedding and extraction method and device based on BP and RBF neural networks, and relates to the technical field of image watermarking. Background technique [0002] Hiding image watermarks in digital image products is often used to prove the creator's ownership of his works, or as a basis for identifying and prosecuting illegal infringement. Digital image watermarking has become an effective means of intellectual property protection and digital multimedia anti-counterfeiting, and It has aroused people's great attention and research hotspot. As a preprocessing method before information hiding, digital image scrambling and encryption can not only encrypt information, but also enhance the imperceptibility of secret information, improve the anti-attack ability of covert communication, and increase the capacity of covert channels. role. [0003] By scrambling and encrypting the watermark image and embedding i...

Claims

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Application Information

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IPC IPC(8): G06T1/00
CPCG06T1/0078G06T2201/0065
Inventor 孙林刘尚旺张仕光李进明王伟王念念郁丽萍王振华宋黎明张会芝刘琛
Owner HENAN NORMAL UNIV
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