Robust image watermarking method based on joint statistical model correction

An image watermarking and statistical model technology, applied in image watermarking, image data processing, image data processing, etc., can solve problems such as shearing, rotation, scaling, and poor translation resistance, so as to improve robustness and accuracy Effect

Inactive Publication Date: 2018-04-20
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

[0004] In recent years, a series of highly targeted digital image watermark detection methods have been proposed successively. Unfortunately, most of the existing robust image watermark detection methods are only

Method used

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  • Robust image watermarking method based on joint statistical model correction
  • Robust image watermarking method based on joint statistical model correction
  • Robust image watermarking method based on joint statistical model correction

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Embodiment Construction

[0038] The method of the present invention includes three stages: watermark embedding, geometric correction, and watermark extraction.

[0039] Convention: I refers to the host image; b is the binary watermark image, the size is ; Indicates the pixel value of the embedded watermark; Represents the low frequency subband coefficient; H represents the high frequency subband coefficient; Indicates the watermark coefficient to be embedded; m is the quantization step size; Represents a watermarked image; Indicates the watermarked image after correction; Indicates the pixel value of the extracted watermark;

[0040] The specific steps are as Figure 5 Shown:

[0041] a. Initial setup

[0042] Obtain the host image I and initialize the settings;

[0043] b. Watermark embedding

[0044] b.1 Perform the second-level PDTDFB transformation of the host image I to get 1 And several H, set the decomposition parameter to [23];

[0045] b.2 pairs Perform block processing, each block size is ;

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Abstract

The invention discloses a robust image watermarking method based on joint statistical model correction. The method comprises steps of firstly embedding a watermark in a low-frequency subband of the PDTDFB transform of a host image; secondly, extracting the amplitude matrix and the relative phase matrix of a high-frequency subband coefficient of a to-be-detected image after PDTDFB conversion, usingthe Weibull distribution probability density function and Vonn distribution probability density function combined statistical model to model the amplitude matrix and the relative phase matrix of thecoefficient R, selecting the shape parameters and scale parameters obtained from the modeling as feature vectors of a training sample image, and then training and learning a sample to obtain the LS-SVR training model; then, calculating the mathematical model of the watermark image to be detected, and using the obtained LS-SVR training model to determine the model parameters for geometric correction; and finally, extracting the watermark from the corrected watermark image.

Description

Technical field [0001] The invention belongs to the technical field of copyright protection of digital images, relates to an image watermarking method based on geometric correction, and in particular to a robust image watermarking method based on joint statistical model correction. Background technique [0002] With the convenience and versatility of the Internet, digital multimedia applications have achieved amazing development. People can easily use the network to download and publish all kinds of multimedia resources, which greatly promotes the development of related technologies. However, the accompanying multimedia security issues have also become a hot spot for people's attention. Some people illegally use, tamper with, and disseminate these digital media without the consent of the digital media owners for profit. As an important research direction in the field of information security, digital image watermarking technology provides an effective means for solving the image i...

Claims

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Application Information

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IPC IPC(8): G06T1/00
CPCG06T1/005G06T2201/0601
Inventor 牛盼盼张薇王向阳
Owner LIAONING NORMAL UNIVERSITY
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