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A digital watermarking method based on neural network and DCT transform

A neural network and digital watermarking technology, applied in biological neural network models, neural architecture, image data processing, etc., can solve the problems that the robustness of invisible watermarks cannot meet the needs of the society, and improve transparency and robustness sexual effect

Pending Publication Date: 2019-03-29
BEIJING UNIV OF TECH
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the robustness of the invisible watermark cannot meet the needs of the society. It is necessary to ensure the transparency while improving the robustness of the digital watermark

Method used

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  • A digital watermarking method based on neural network and DCT transform
  • A digital watermarking method based on neural network and DCT transform
  • A digital watermarking method based on neural network and DCT transform

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the drawings and implementation steps.

[0026] Based on neural network and digital watermarking method flow chart such as figure 1 As shown, including the following steps:

[0027] (1) Use binary image as embedded watermark signal;

[0028] (2) The training and learning of neural network, the color original image is gray-scaled, and then a watermark bit plane and original image bit plane are input into the Hopfield neural network for training, which can remember and associate the original image and watermark signal ;

[0029] (3) Three-color separation of the original color image, extracting the three primary color components of the original image: red, green and blue;

[0030] (4) Perform Arnold scrambling transformation on the binary watermark signal. The Arnold transformation has a certain periodicity. The size of the period is related to the size of the image. This method uses a 64*64 watermark image....

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Abstract

The invention relates to a digital watermarking method based on neural network and DCT transformation, which relates to the technical field of digital watermarking and is a robust invisible digital watermarking method. According to the human visual characteristic and the proportion of the RGB component of the original image, the invention adaptively embeds the watermark to improve the transparency, and the digital watermark is insufficient in resisting the geometrical attack. By utilizing the advantages of the Hopfield neural network, the watermark image is corrected in the watermark detectionprocess, so as to improve the robustness. The new digital watermarking method can better balance the relationship between transparency and robustness of watermarking.

Description

Technical field [0001] The present invention relates to the technical field of digital watermarking, and is especially suitable for invisible digital watermarking methods with strong robustness. Background technique [0002] With the trend of industrial development, the application of watermarks has become more and more extensive. Digital watermarks were originally designed to protect the copyright of digital works. However, with the deepening of research, the scope of use has also expanded rapidly, showing that it is facing the Internet and The general trend of integration of diverse applications. Piracy tracking, prevention of illegal copying, identification and protection of media ownership and copyright, identification and protection of authenticity of work content, and covert communication have become the main trends in future development. [0003] The advent of the information age has produced a variety of new technologies such as audio, animation, electronic art, etc., whic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06N3/04
CPCG06T1/0021G06T2201/0065G06N3/044
Inventor 孙光民宋瑞祥
Owner BEIJING UNIV OF TECH
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