Robustness digital water mark embedding and detection method based on local content features

A content feature, digital watermarking technology, applied in image data processing, image data processing, instruments, etc., can solve the problems affecting the robustness and imperceptibility of digital watermarking, limiting the ability of the system to accommodate watermarking information, etc.

Inactive Publication Date: 2015-04-08
LIAONING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In recent years, great progress has been made in the research of digital image watermarking methods against geometric attacks, but how to construct uniform and stable feature point detectors and local feature regions, and how to make them have Better robustness and imperceptibility of digital watermarking, and how to solve the problems existing in existing digital watermarking algorithms based on image features, such as the selected local feature region structure and watermark embedding strategy are too simple, which limits the ability of the system to accommodate watermark information, etc. , the existing algorithms have not been able to solve it well, which will inevitably affect the robustness and imperceptibility of digital watermarking

Method used

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  • Robustness digital water mark embedding and detection method based on local content features
  • Robustness digital water mark embedding and detection method based on local content features
  • Robustness digital water mark embedding and detection method based on local content features

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Experimental program
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Embodiment Construction

[0056] Watermark embedding is carried out as follows:

[0057] Step 1: Extract feature points from the original grayscale image to obtain the feature point set of the original image:

[0058] Step 11: Calculate the probability density of each point in the image brightness matrix. The brightness probability density of each point in the matrix can be estimated by the kernel function. Point The brightness probability density at The estimated value of

[0059]

[0060] in, W is the observation window of the probability density of each point, so X centered window W a bit, is in the image point brightness, is the bandwidth in image space, is the bandwidth in luminance space, C is the corresponding normalization constant, , is the kernel function (usually Gaussian):

[0061]

[0062] Step 12: Find each point The second derivative of the probability density of , :

[0063]

[0064] Step 13: Take , To enter information, you can build a point ...

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Abstract

The invention discloses a robustness digital water mark embedding and detection method based on local content features. In the local feature region construction process, an original gray level image is subjected to feature point extraction to obtain an original image feature point set, in addition, the original image feature point is used as the center, an autocorrelation matrix is used for construction to obtain a series of oval feature regions, the PHT of the oval feature regions is calculated, in addition, the stable PHT is selected, and the water mark signal embedding is realized by adopting a quantization PHT amplitude value modulation method. A quantization formula identical to the embedding process is adopted, and the detection on the water mark information of each local feature region is reached. The PHT and the oval feature region construction theory are adopted, so that the method has the advantages that good resistance on the conventional attack and the de-synchronized attack can be realized, the digital water mark robustness can be effectively improved, and meanwhile, the imperceptibility and the water mark information amount of the digital water mark are ensured.

Description

technical field [0001] The invention belongs to the technical field of information hiding and digital watermarking in multimedia information security, especially a kind of watermarking technology that not only has better imperceptibility, but also is suitable for conventional signal processing (median filtering, edge sharpening, superimposed noise and JPEG compression, etc.) and Desynchronization attacks (rotation, translation, scaling, shearing, flipping, etc.) are robust digital watermark embedding and detection methods based on local content features. Background technique [0002] Digital watermarking (Digital Watermarking), as an effective supplementary method to traditional encryption methods, is a new technology that can protect copyright and authenticate the source and integrity in an open network environment. A hot spot of research. The so-called digital image watermark is to hide a mark (watermark) with a specific meaning in a digital image product by means of data...

Claims

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Application Information

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IPC IPC(8): G06T1/00
Inventor 杨红颖张妍王向阳
Owner LIAONING NORMAL UNIVERSITY
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