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Watermark embedding method and detection method based on polar-harmonic-Fourier moment

A technology of watermark embedding and statistical modeling, applied in computing, image data processing, instruments, etc., can solve the problems of small watermark capacity, irresistible geometric attack, etc., achieving excellent robustness, resistance to geometric attacks and conventional image processing attacks , the effect of strong imperceptibility

Inactive Publication Date: 2018-11-23
QILU UNIV OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical task of the present invention is to address the above deficiencies, to provide a watermark embedding method and a watermark detection method based on the extreme harmonic-Fourier moment statistical modeling, to solve the irresistible geometric attack and watermark capacity of the existing watermark embedding and detection methods. Small and some algorithms are non-blind detection algorithms

Method used

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  • Watermark embedding method and detection method based on polar-harmonic-Fourier moment
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  • Watermark embedding method and detection method based on polar-harmonic-Fourier moment

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Embodiment 1

[0053] as attached figure 1 As shown, the watermark embedding method based on polar harmonic-Fourier moment statistical modeling of the present invention comprises the following steps:

[0054] S100. Construct the original image block: divide the original image into N non-overlapping image blocks, calculate the entropy value of each image block, and select L image blocks with high entropy values ​​as the original image block, N is a natural number, and N ≥L, L is the watermark length;

[0055] S200. Construct the extreme harmonic-Fourier moment of the original image block: calculate the extreme harmonic-Fourier moment of each original image block, and select the moment value P n,m is the polar harmonic-Fourier moment value corresponding to the original image block;

[0056] S300. Embedding a watermark to the original image block: based on the multiplicative watermark embedding method, embed the watermark into the magnitude of the hyperharmonic-Fourier moment value of each or...

Embodiment 2

[0079] as attached figure 2 As shown, by embedding the watermark into the image through the watermark embedding method based on the polar harmonic-Fourier moment statistical modeling disclosed in Embodiment 1, the image to be detected with the watermark embedded can be obtained. Moment's watermark detection method can perform watermark detection on the image to be detected with a watermark above, and the watermark detection includes the following steps:

[0080] S100. Construct the original image blocks to be detected: divide the image to be detected into N non-overlapping image blocks, calculate the entropy value of each image block, arrange the above N image blocks in descending order according to the size of the entropy value, and select the top L image blocks with high entropy values ​​are used as original image blocks to be detected;

[0081] S200. Construct the extreme harmonic-Fourier moment of the original image block to be detected: calculate the extreme harmonic-Fo...

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Abstract

The invention discloses a watermark embedding method and detection method based on polar-harmonic-Fourier moment, and belongs to the field of the watermark embedding and detection. A to-be-solved technical problems are that the irresistible geometric attack is existent in the existing watermark embedding and detection method, the watermark capacity is small, and partial algorithm is the non-blinddetection algorithm. The embedding method comprises the following steps: constructing an original image block; constructing a polar-harmonic-Fourier moment of the original image block; embedding watermark for the original image block, and computing the polar-harmonic-Fourier moment value of each original image block after embedding the watermark; reconstructing the original image block based on the moment value; and constructing the watermark-embedded image. The watermark detection method comprises the following steps: constructing the original to-be-detected image block; performing polar-harmonic-Fourier moment reconstruction on the original to-be-detected image block; detecting the watermark information corresponding to the amplitude of the polar-harmonic-Fourier moment value of each original to-be-detected image block based on the maximum likelihood estimation. The watermark method can resist the geometric attack and is large in capacity.

Description

technical field [0001] The invention relates to the field of watermark embedding and detection, in particular to a watermark embedding method and a watermark detection method based on extreme harmonic-Fourier moment statistical modeling. Background technique [0002] Digital image watermarking algorithm mainly has two steps: watermark embedding and watermark detection. Watermark detection is used to judge whether there is a watermark in the image, and it is mainly divided into two types: correlation-based detection and statistical-based detection. Correlation-based detection methods are based on the linear correlation between the extracted watermark and the original watermark signal to judge whether the watermark exists in the image. Since this method is very simple, it is often used in watermark detection schemes. However, the signal detection theory shows that when the watermark carrier obeys the Gaussian distribution, the correlation-based detection method is optimal, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
Inventor 王春鹏夏之秋马宾
Owner QILU UNIV OF TECH
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