Robust watermarking method based on image feature point global correction
An image feature point and robust watermarking technology, applied in the field of information security, can solve problems such as low watermark detection rate, moment calculation error, image feature point position offset, etc., to overcome low watermark detection rate, enhance resistance, and improve The effect of robustness
Inactive Publication Date: 2015-04-08
XIDIAN UNIV
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Problems solved by technology
These methods can resist conventional image processing and geometric attacks such as rotation and scaling to a certain extent, but there are the following problems: geometric attacks, especially complex geometric attacks, will cause the offset of the image feature points, and destroy the synchronization of image information and watermark information The content of the constructed area will also change, and the change of the pixel value in the circular feature area will cause a large error in the moment calculation. These problems will greatly affect the performance of the watermark detector, resulting in a low detection rate of the watermark.
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[0046] specific implementation plan
[0047] refer to figure 1 , the implementation of the present invention includes three aspects of watermark embedding, global correction and watermark detection.
[0048] 1. Watermark embedding
[0049] Step 1, set the key Key1, and generate a binary pseudo-random watermark sequence b={b through the key Key1 1 ,b 2 ,...,b L}, b d ∈{0,1}, d=1,2,...,L, where L is the number of bits in the watermark sequence.
[0050] Step 2: Scale Invariant Feature Transformation The SIFT detection operator uses local image features to extract feature points of the original image I, and describes the attributes of each feature point, that is, position, scale and direction, and obtains the feature point set F of SIFT.
[0051] 2.1) Detection of extreme values in scale space
[0052] By convolving Gaussian kernels of different scales with the original image I, images of different scales are obtained, expressed as:
[0053] L(x,y,σ)=G(x,y,σ)*I(x,y)
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The invention discloses a robust watermarking method based on image feature point global correction, and mainly solves the problem that the conventional watermarking algorithm cannot effectively resist the conventional image processing and geometric attack. The method comprises the following steps of: (1) extracting feature points of an original image by a scale invariant feature transform (SIFT) method, and partitioning the image to obtain partitioned regions; (2) constructing a circular feature region according to a scale range and the partitioned regions; (3) embedding a watermark into a Zernike matrix of the feature region through dither quantification modulation; (4) during detection, extracting SIFT feature points of a distorted image, matching the SIFT feature points with the feature points of the original image, and correcting the distorted image by a random sampling consensus (RANSAC) iteration method; and (5) constructing a feature region in the partitioned regions of the corrected image, and extracting the watermark in the modified Zernike matrix through the dither quantification modulation. The robust watermarking method is extremely high in invisibility and high in robustness for the conventional image processing and the geometric attack; and the method can be applied to version protection, right checking and copy control of digital works on the Internet.
Description
technical field [0001] The invention belongs to the technical field of information security, specifically a digital image watermark embedding and blind detection method, which can effectively resist conventional image processing, geometric attacks and combined attacks, and can be used for copyright protection and ownership verification of digital works on the Internet and copy control areas. Background technique [0002] With the continuous advancement of digital technology and the increasing popularity of computer networks, various forms of multimedia digital works such as images, videos, audios, etc. have been published in the form of networks. Multimedia data is gradually becoming an important source of information for people. Digital multimedia data is easy to obtain, easy to copy and spread quickly, which not only provides great convenience for the access of multimedia information, but also greatly improves the efficiency and accuracy of information expression, but the ...
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IPC IPC(8): G06T1/00
Inventor 邓成安玲玲彭海燕李洁高新波黄东宇
Owner XIDIAN UNIV