Multi-correlation HMT model-based digital image watermark detection method

A digital image and watermark detection technology, applied in image watermarking, image data processing, image data processing, etc., can solve the problem of inaccurate models, low reliability, and failure to capture important information and features of two-dimensional images, etc. problem, to achieve the effect of enhancing robustness and improving detection accuracy

Inactive Publication Date: 2018-05-18
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

The existing watermarking methods based on statistical models mostly use wavelet, contourlet and other transformations, which cannot capture the important information and characteristics of two-dimensional images well, and often use a correlation to model the coefficients, so the model is not accurate. Detection reliability is not high

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  • Multi-correlation HMT model-based digital image watermark detection method
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  • Multi-correlation HMT model-based digital image watermark detection method

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Embodiment Construction

[0057] The digital image watermark detection method based on the multi-correlation HMT model of the present invention:

[0058] Convention: Q refers to the host image; Refers to the sub-band in the Z-th direction at the Y-th scale of the non-subsampled shearlet transform (NSST); s represents the sub-band with the largest energy in the NSST domain; s1 and s2 represent the two child sub-bands of s; t represents the neighbor of s subband; s * Indicates the maximum energy subband of the watermarked NSST domain; Represents a binary watermark sequence of length K; Represents K high-entropy blocks selected from the maximum energy subband; represents the coefficients in each high-entropy block; Refers to the watermark coefficients in each high-entropy block; F represents the set of coefficients used for watermark embedding in each high-entropy block; is a watermarked image; is the state transition probability; M is the number of states; is a positional parameter; is t...

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Abstract

The invention discloses a multi-correlation HMT model-based digital image watermark embedding and extraction method. The method comprises the steps of firstly selecting an NSST domain sub-band with the maximum energy in a host image as an optimal sub-band of watermark embedding, modifying a coefficient of the sub-band in a multiplicative embedding mode, and combining the sub-band with the modifiedcoefficient and other sub-bands for performing NSST reconstruction to obtain a watermark image; selecting high-entropy blocks in the NSST domain sub-band with the maximum energy in the watermark image, performing modeling on the coefficient of the sub-band by using BKF-VB-HMM, and estimating parameters of a model by utilizing coefficient correlation among intra-sub-band, inter-scale and intra-scale directions; and finally, designing an optimal detector by utilizing a maximum likelihood test method to detect specific watermark information embedded in each high-entropy block, and performing sorting in sequence to obtain a final watermark sequence.

Description

technical field [0001] The invention relates to a digital image watermark method based on a statistical model, in particular to a digital image watermark detection method based on a multi-correlation HMT model. Background technique [0002] In today's society, information technology is developing rapidly, and Internet culture can be seen everywhere in people's daily life. The damage to image copyright and illegal copying and dissemination prompt people to urgently need the best digital image watermarking technology to solve the image information security crisis. The existing watermarking methods based on statistical models mostly use wavelet, contourlet and other transformations, which cannot capture the important information and characteristics of two-dimensional images well, and often use a correlation to model the coefficients, so the model is not accurate. The detection reliability is not high. Contents of the invention [0003] The present invention aims to solve the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
CPCG06T1/005
Inventor 杨红颖徐欢牛盼盼王向阳
Owner LIAONING NORMAL UNIVERSITY
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