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Color halftoning image watermarking algorithm based on support vector machine

A technology of support vector machine and image watermarking, which is applied in image data processing, image data processing, computing and other directions, and can solve the problem of watermarking resistance and other problems that have not been studied.

Active Publication Date: 2011-11-23
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Neither of the above two documents studied the anti-attack ability of watermarking.

Method used

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  • Color halftoning image watermarking algorithm based on support vector machine
  • Color halftoning image watermarking algorithm based on support vector machine
  • Color halftoning image watermarking algorithm based on support vector machine

Examples

Experimental program
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Effect test

Embodiment 1

[0067] This embodiment mainly introduces the color halftone image watermark embedding process based on the support vector machine, and its implementation steps are as follows:

[0068] 1) Selection, encryption and dimensionality reduction of binary watermark

[0069] In this paper, the method of Arnold transformation is used to scramble the digital watermark binary image S={S(m,n), 1≤m≤P, 1≤n≤Q}, and record the number of iterations t of the transformation, so as to extract the watermark when used. The selected watermark image and the scrambled image are as follows: image 3 shown. Convert the scrambled P×Q-dimensional watermark image from a two-dimensional image to a one-dimensional watermark sequence M={M(k), 1≤k≤P×Q}.

[0070] 2) Selection of digital watermark embedding position

[0071] Adding watermarks to different positions of the image will give different results. Halftone images are only composed of two tones of black or white (0 or 1). If the pixel values ​​are r...

Embodiment 2

[0097] Methods to enhance the robustness of digital watermarking:

[0098] Considering that the color image has three channels, in order to enhance the robustness of the watermark, on the basis of the watermarked color halftone image obtained from step 1) to step 3), select within a 3×3 neighborhood of the watermark embedding position Two positions, used to embed the same watermark bit on the B component (since the human eye is less sensitive to the blue component than other components) to enhance the embedding strength of the watermark. Image 6 (a) shows the location point (x, y) where the watermark is embedded in the G component, Image 6 (b) represents the position points (x-1, y) and (x, y-1) where the same watermark bit is embedded on the B component. When extracting the watermark, if the number of extracted watermark information values ​​of 0 is greater than 1 in a certain watermark embedding neighborhood, then let the extracted watermark information be 0, otherwise it...

Embodiment 3

[0100] Experimental results and analysis:

[0101] In the experiment, a standard color Lena image of 256×256 pixels was selected (such as Figure 7 (a)), the digital watermark uses a 25×25 binary pattern “XD” (such as figure 2 (a)). Figure 7 (b) is the sub-channel color halftone result image, Figure 7 (c) is the result figure of using embodiment 1 to embed the binary watermark, Figure 7 (d) is the result of embedding a binary watermark using Example 2, and the directly extracted watermarks are all on the right side. The quality of the watermarked image and the similarity between the extracted watermark and the original watermark are measured by peak signal-to-noise ratio PSNR and similarity NC.

[0102] right Figure 7 (d) Conduct the following attack experiments. Figure 8 (a) to simulate random alteration, Figure 8 (b) for adding literal attacks, Figure 8 (c) is an image added with "salt and pepper" noise with a noise density of 0.02, Figure 8 (d) is an image...

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Abstract

The invention discloses a color halftoning image watermarking algorithm based on a support vector machine. In the algorithm, based on the support vector machine, watermarking embedded in a halftoning process is realized through adjusting error diffuse nuclei and a threshold value in a self-adapting manner. The algorithm comprises the following steps of: selection of two-dimension watermarking, encrypting and dimension reduction, selection of digital watermarking embedding position, embedding process of digital watermarking, extraction process of digital watermarking and the like; and the experiment shows that the algorithm has good watermarking imperceptibility and also has better robustness to attacks such as random alteration, noise superposition, geometric cutting, low-pass filtering, JPEG (joint photographic experts group) compression, printing and scanning and the like.

Description

technical field [0001] The invention relates to a color halftone image watermark algorithm based on a support vector machine, and belongs to the field of halftone image watermarks. Background technique [0002] Digital watermarking (Digital Watermarking) technology is to embed some meaningful identification information (digital watermark) directly into digital carriers (including multimedia, documents, software, etc.), but it does not affect the use value of the original carrier, and it is not easy to be perceived by people. A system (such as the visual or auditory system) perceives or notices. Through the information hidden in the carrier, the purpose of confirming content creators, buyers, transmitting secret information, or judging whether the carrier has been tampered with can be achieved. [0003] At present, there are many digital watermarking algorithms for images, but most of them are researched on continuous tone images, and there are few researches on digital wate...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06K9/66
Inventor 王泉李建英潘蓉杨鹏飞李姗姗张克丰罗楠张健美
Owner XIDIAN UNIV
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