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Color image watermark embedding and detecting method based on quaternion Legendre moment correction

A color image, watermark embedding technology, applied in image analysis, image data processing, image data processing and other directions, can solve the problems affecting the robustness and imperceptibility of digital watermarks

Inactive Publication Date: 2015-07-08
LIAONING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

That is to say, the existing algorithm fails to reflect and retain the specific relationship of different color components in the entire color space, which will inevitably affect the robustness and imperceptibility of digital watermarking.

Method used

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  • Color image watermark embedding and detecting method based on quaternion Legendre moment correction
  • Color image watermark embedding and detecting method based on quaternion Legendre moment correction
  • Color image watermark embedding and detecting method based on quaternion Legendre moment correction

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Embodiment Construction

[0040] Embedding method of the present invention comprises the following steps:

[0041] Step 1: Extend the Legendre moment invariant theory of traditional grayscale images to the quaternion level, and further construct the quaternion Legendre moment invariant suitable for describing the content of color images. The steps are as follows:

[0042] Step 11: Calculation of the quaternion Legendre moment of the color image;

[0043] In order to comprehensively describe and describe the characteristics of color images, the Legendre moment theory of traditional grayscale images is extended to the quaternion level, and the quaternion Legendre moment of color images is further defined. suppose for color images, Can be represented as a pure imaginary quaternion with no real part , then according to the definition of the Legendre moment of the traditional grayscale image and the quaternion theory, the color image quaternion Legendre moment of the following form can be defined

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Abstract

The invention discloses a color image watermark embedding and detecting method based on quaternion Legendre moment correction. First, the Legendre invariant theory for traditional gray images is extended to a quaternion level, and a quaternion Legendre moment invariant suitable for describing color image content is constructed; and then, a digital watermark is embedded into a low-frequency region of a discrete quaternion cosine transform domain by a quantization index modulation (QIM) method. During watermark detection, part of low-order quaternion Legendre moment invariants are selected as feature vectors to obtain a least squares support vector machine (LS-SVM) training model so as to improve the performance of a color image classifier. Simulation experiments show that the method has good imperceptibility, and has good robustness to conventional signal processing (especially for the color attack mode) and de-synchronization attack.

Description

technical field [0001] The invention belongs to the field of digital multimedia anti-counterfeiting and information security protection, especially a quaternion Legendre moment correction based on quaternion which has good robustness to conventional signal processing (especially the attack method against color) and desynchronization attack. Color image watermark embedding and detection method. Background technique [0002] With the rapid development of network technology and digital media technology, the transmission and utilization of digital information has become increasingly frequent and extensive. Since digital information is extremely easy to be edited, copied and distributed without restriction, issues such as information security, intellectual property protection and certification of digital works have become increasingly prominent. Digital watermarking (Digital Watermarking) has been highly valued by people, and has become a hot spot in international academic resea...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06T7/00
Inventor 牛盼盼王向阳
Owner LIAONING NORMAL UNIVERSITY
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