CN101071499A - Printed matter anti-counterfeit digital water print embedding method and its detecting method - Google Patents

Abstract

The invention discloses a printed product anti-counterfeiting digital watermark inserting method and the detecting method thereof. And the inserting method uses a method that calculates singular value of image subchannel matrix and then superposes watermark image on the corresponding subchannel and adds influence factor to make the printed product itself have anti-counterfeiting property; and the invention provides a detecting method which is inverse to the digital watermark insertion and detects whether the printed product is true or false. And the invention can be widely applied to the printed product anti-counterfeiting field.

Description

The embedding grammar of printed matter anti-counterfeit digital water print and detection method thereof

Technical field

The present invention relates to the printed matter anti-counterfeiting field, particularly the detection method of the printed matter true and false of a kind of embedding grammar of printed matter anti-counterfeit digital water print and correspondence thereof.

Background technology

Digital watermark technology is the technology that is born along with the digitizing of information medium, because the medium digitizing provides greatly easily simultaneously in the access for information, has also significantly improved the efficient and the accuracy of information representation.Digital watermarking becomes the research focus as a kind of effective copyright protection and information security technology; it utilizes human visual system (HVS; Human Vision System) redundancy; be directly embedded in the middle of the carrier media information by certain algorithm information that some are significant; but do not influence the value and the use of raw content, and can not be perceived by people's vision system.Traditional digital watermark technology, the digitized information medium that it uses object all to be meant.

Existing a kind of common method that is used for printed matter anti-counterfeiting be on printed matter additional other anti-fake marks carry out false proof, as laser labelling, anti-counterfeit bar code etc.The characteristics of this technology produce by other technologies exactly has anti-fraud functional mark, again mode and the printed matter of this mark by physical connection combined, thereby reach by the identification of additional anti-fake mark being judged the purpose of the true and false of printed matter and products thereof.

Summary of the invention

Technical matters to be solved by this invention provide a kind of can be to the image embed watermark of printed matter, make printed matter itself have embedding grammar and a kind of detection method that can realize the printed matter true and false that contains digital watermarking that the true and false to the printed matter that contains digital watermarking detects of anti-fraud functional printed matter anti-counterfeit digital water print.

For solving above-mentioned technical matters, the invention provides a kind of embedding grammar of printed matter anti-counterfeit digital water print, comprise step:

A. in the RGB color gamut space, respectively original image and watermarking images are divided into R, G, three subchannel matrix of B, the subchannel matrix of original image is designated as I respectively _R, I _G, I _B, the subchannel matrix of watermarking images is designated as W respectively _R, W _G, W _B

B. arbitrary matrix in three matrixes that are divided into by watermarking images among the step a and the corresponding matrix that is divided into by original image are carried out svd;

C. the singular value of arbitrary matrix that the watermarking images among the step b the is divided into singular value that is embedded into the matrix that corresponding original image is divided into gets on, and utilizes the new singular value that forms to reconstruct a new matrix then;

D. two other matrix of new matrix that will be obtained by step c and original image merges, and reconstructs image.

Corresponding matrix refers among the described step b: carry out svd two subchannel matrix correspondences be same passage.

Among the described step b, to arbitrary matrix I, the svd formula is:

I＝USV ^T

The embedding formula of described step c singular value is:

$S^{\′}(i,i)=\left\{\begin{array}{cc}{x}_{1}S(i,i)+x_2{S}_W(i-1,i-1)& i=\mathrm{2,3},......,n-1\\ S(i,i)& i=1,n+2,......\end{array}\right.$

S ' is the singular value behind the embed watermark in the formula, and S is the singular value of arbitrary matrix of being divided into of original image, S _WSingular value for the corresponding matrix of watermarking images.X wherein ₁+ X ₂=1.

As a kind of preferred version, described step b is: to the matrix W of watermarking images B passage _RAnd corresponding matrix I by original image B passage _RCarry out svd.

The present invention also provides a kind of detection method that contains the printed matter true and false of digital watermarking, comprises step:

A. printed matter to be detected is sampled, be converted into digital picture to be detected;

B. digital picture to be detected is divided into R, G, three subchannel matrix of B, extracts the subchannel matrix that watermark exists, and this matrix is carried out svd;

C. judge whether digital picture to be detected and original image are similar image, if "No", digital picture then to be detected is pseudo-goods, if "Yes" is then carried out next step;

D. extract the singular value that has the watermarking images subchannel matrix in the digital picture to be detected, reconstruct the matrix of this subchannel of watermarking images;

E. by correlativity by watermarking images subchannel matrix that reconstructs in the steps d and correct watermarking images corresponding subchannel matrix, whether to judge in the digital picture to be detected embed watermark information, if "No", digital picture then to be detected is pseudo-goods, if "Yes" is then carried out next step;

F. judge whether the digital picture to be detected that has correct watermark is genuine piece, if "Yes", then Dui Ying printed matter to be detected is a genuine piece, if "No", then Dui Ying printed matter to be detected is pseudo-product.

Whether digital picture to be detected and original image are that the method for similar image is among the described step c: the correlativity of judging the corresponding subchannel matrix of the subchannel matrix of digital picture to be detected and original image.

Being calculated as of singular value that has the watermarking images subchannel matrix in extraction in the described steps d digital picture to be detected:

$S_W^{\′\′}(i-1,i-1)=\frac{1}{x_2}(S^{\′\′}(i,i)-x_{1}S(i,i))i=\mathrm{2,3},......,n+1$

" be the singular value of the subchannel matrix that drawn by step b, S is the singular value of the corresponding subchannel matrix of original image to S in the formula.

Whether the described detection printed matter of described step f is that the method for genuine piece is: with correct watermarking images as signal, with detected watermarking images is noise, obtain a Y-PSNR value (PSNR, PeakSignal to Noise Ratio), if this value is higher than threshold value, then this printed matter is to print for the first time, is genuine piece; If this value is lower than threshold value, then this printed matter is not to print for the first time, is the puppet product.

Compared with prior art, the embedding grammar of printed matter anti-counterfeit digital water print of the present invention by to printed matter embed watermark image, prints printed matter and just contains watermark information, so just allow printed matter itself just have false proof function, and do not need the thing of the additional any outside of printed matter.The detection method that contains the printed matter true and false of digital watermarking of the present invention, earlier printed matter digitizing to be detected is formed digital picture to be detected, propose to contain in the digital picture to be detected the subchannel matrix of digital watermarking, and carry out svd, judge the similarity of watermarking images in the similarity of digital picture to be detected and original image, the digital picture to be detected and correct watermarking images then successively, determine recently by noise whether printed matter is the genuine piece of the first impression at last.By whole flow process, thereby finished detection to the printed matter true and false.

The invention will be further described below in conjunction with description of drawings and embodiment.

Description of drawings

Fig. 1 is the overall flow block diagram that the digital watermarking of the embodiment of the invention embeds.

Fig. 2 is the FB(flow block) that digital watermarking embeds the digital picture of printed matter in the embodiment of the invention.

Fig. 3 is the FB(flow block) that the printed matter true and false detects in the embodiment of the invention.

Embodiment

Embodiments of the invention: with reference to Fig. 1, the embedding of digital watermarking is meant adds a kind of significant figure in addition in digital picture to be printed, and this figure has clear and definite indication implication, and the foundation of branch evident can be provided.The process of whole embedding is: 1. pair original image and watermarking images are handled; 2. embed watermark image in original image; 3. but be reduced to printed images; 4. pay printing or printing.

In these four steps, watermark and original image handled being meant in digital space, convert watermarking images and original image to be fit to embed watermark and realize conversion form, so that realize the embedding of watermark.Second step was in digital display circuit, watermark is embedded in the original image according to set method, the 3rd step was that the original image of embed watermark image is reduced to the image that can print or print, and final step is with image printing or prints and become product.

Digital watermarking embedding of the present invention and extraction algorithm are based on the RGB color gamut space.After watermark adds, require the system through HVS, its difference can not be found, because human eye is least responsive to the B channel information, therefore preferably operates in the B passage.

In above-mentioned four steps the most complicated most important be exactly second the step: embed watermark in original image.

With reference to Fig. 2, in the present embodiment, the step of the embedding grammar of printed matter anti-counterfeit digital water print is:

A. in the RGB color gamut space, respectively original image and watermarking images are divided into R, G, three matrixes of B, the subchannel matrix of original image is designated as I respectively _R, I _G, I _B, the subchannel matrix of watermarking images is designated as W respectively _R, W _G, W _B, just become two-dimensional matrix with the three-dimensional matrice of image this moment; Because for a three-dimensional matrice, the decomposition of carrying out matrix is on the algorithm and all much more difficult than a two-dimensional matrix on realizing, when being embodied as actual hardware system, also requires the algorithm can not be too complicated, otherwise can cause hardware too complicated.Be changed to RGB and mainly consider it is the insensitivity of human eye to the B passage, stack can increase the hiding performance of watermark on the B passage.So with matrix decomposition is three passages of RGB, be three submatrixs.In these three submatrixs, carry out conversion respectively again, extract the matrix characteristic of matrix.

B. with I _BAnd W _BCarry out svd respectively, its decomposition formula is as follows:

$\left\{\begin{array}{c}{I}_B=U_B{S}_B{V}_B^T\\ W_B=U_{\mathrm{WB}}{S}_{\mathrm{WB}}{V}_{\mathrm{WB}}^T\end{array}\right.$

Reason to svd is because of the specific character of singular value as matrix, itself does translation at matrix, rotation, just has robustness preferably in the time of conversion such as shearing, therefore, select svd can make the performance of physical conversions such as the anti-rotation of image, shearing, displacement get a promotion so that when in the end detecting.

C. the singular value that the singular value of watermarking images B passage is embedded into original image B passage gets on, and utilizes U again _BAnd V _BThe I that reconstruct makes new advances _BBe designated as I _B'.Because watermarking images should be littler than original image, so hypothesis S _WBIt is the matrix of a n * n.The singular value matrix of new images is obtained by following formula.

$S_B^{\′}(i,i)=\left\{\begin{array}{cc}{x}_1{S}_B(i,i)+x_2{S}_{\mathrm{WB}}(i-1,i-1)& i=\mathrm{2,3},......,n+1\\ S_B(i,i)& i=1,n+2,......\end{array}\right.$

Wherein, because the maximal value in the singular value is far longer than other singular values, will produce considerable influence on visual effect if change this value, be that the HVS system is comparatively responsive to this value, therefore adds watermark sequence since second singular value.When adding watermark, we have adopted two factor of influence x ₁And x ₂Control the intensity that watermark is added.Its objective is feasible the influence minimum of the image after the watermark of having added, if directly adopt S to the generation of HVS system _B(i, i)+cS _WB(i-1, mode i-1) is added, and then will inevitably cause the reinforcement of singular value, and the most direct consequence is exactly to cause the brightness of the picture that prints to increase.Therefore we adopt slur to ring the mode of the factor, and require x ₁And x ₂X satisfies condition ₁+ x ₂=1, like this, we just can find a pair of factor of influence, make to the visual effect influence of picture minimum.It should be noted that for different pictures, x ₁And x ₂Choose may be different, optimal selection should come to determine according to concrete image again, but slur is rung choosing for not in essence the influence of the embedding algorithm of watermark and detection algorithm of the factor.Slur is rung the factor and is chosen well, just makes to have embedded that watermark gets image and original image is visually more approaching.

Herein, watermark can be regarded key as, only just can reconstruct correct image knowing under the situation of watermarking images.In addition, weighting factor x1 and x2 also are the another one keys, only know that the value of x1 and x2 just can obtain image accurately accurately.This just makes that on confidentiality, the printed matter that manufacturing is come out has had dual cryptographic key protection, has improved the intensity of maintaining secrecy.

In addition, the stack of watermark can also have more complicated variation, for example can not only add a single watermark, also can use one group of watermark, will use a sequence string X={x so ₁x ₂x ₃... x _n) be factor of influence, this just can add (n-1) individual watermark in piece image.And sequence string X and each watermark can be as keys.Like this, because the use of sequence string, the confidentiality of watermark is improved, and increased the complexity that watermark embeds and detects, but ultimate principle is the same.

At last, we reconstruct the B passage of the image behind the embed watermark, and formula is as follows.

$I_B^{\′}=U_B{S_B^{\′}V}_B^T$

D. the information of R and G passage and the B channel information behind the embed watermark are merged, reconstruct image.

I′＝I _R+I _G+I _B′

In the present embodiment, the watermark embedded technology realizes that in the B passage this is because HVS is least responsive to the B passage.For R and G passage, we also can realize the embedding of watermark by similar method, and this decides according to the demand of reality and the requirement of complexity.The processing mode of basic ideas and method and B passage is similarly, also can carry out the certain methods expansion on this basis, adds other shift means, as wavelet transformation, key etc.

The detection of printed matter digital watermarking is the inverse process that digital watermarking embeds technically, by to being embedded in the extraction of the watermark information in the printed matter, restores watermark exactly, thereby determines the true and false of printed matter.Its step can be divided into three parts, at first is printed matter is passed through specific equipment, samples as scanner, camera etc., is transformed into digital picture.File after the sampling just becomes the digital picture that can detect later on through some pre-service.These preprocessing process comprise adjusts the border of gathering the back image, adjusts the size of image etc.Next being exactly to carry out the watermark detection part that the true and false is judged by specific algorithm, is the display part at last, indicates the result of detection by some specific signal, also can demonstrate the watermarking images that actual detected arrives by display device.In this three part, most important and core be exactly the watermark detection part.

With reference to Fig. 3, in the present embodiment, be described in detail the step of the detection of printed matter digital watermarking below:

A. printed matter to be detected is sampled, be converted into digital picture to be detected;

B. digital picture to be detected is divided into R, G, three subchannel matrix of B, extracts the B passage.Note B access matrix is I _B ^//And with I _B ^//Carry out svd, obtain corresponding matrix

I _B ^//＝U _B ^//S _B ^//V _B ^T//

This is to carry out the first step that digital watermarking is analyzed, because watermark is to be superimposed upon on the singular value component of image, so at first will extract the singular value of image to be detected.

C. in the algorithm of our design, be that the B passage to detected watermarking images and original watermark image carries out correlation analysis at last, judge whether watermark exists.But in the process of reality, complete another image inequality of a width of cloth and image to be detected still can calculate singular value when singular value detects, also can draw the singular value of the B passage of watermark.Because significant watermark detection is watermark need be restored, this just might make a diverse image be detected as the image that contains watermark on the contrary.This is in just in time having dropped between detection zone because of its correlativity.Therefore, the method that singular value detects should be just effective to the image similar to original image, just be necessary in the process of reality at first to judge that whether image to be detected is similar image with original image, that is to say that detection is just to be required under human eye can not be told the situation of difference.In the method, we are by judging I _B ^//And I _BSimilarity determine whether to be similar image, if the correlativity of two matrixes is higher than some value η ₁, then think similar image, otherwise just be not.Its formula is as follows:

If η ₁＜corr (I _B ^//, I _B) be similar image

If η ₁＞corr (I _B ^//, I _B) not similar image

Wherein the correlation calculations formula of matrix is:

$\mathrm{corr}=\frac{\underset{m}{\mathrm{\Σ}}\underset{n}{\mathrm{\Σ}}(A_{\mathrm{mn}}-\stackrel{\‾}{A})(B_{\mathrm{mn}}-\stackrel{\‾}{B})}{\sqrt{\left(\underset{m}{\mathrm{\Σ}}\underset{n}{\mathrm{\Σ}}{(A_{\mathrm{mn}}-\stackrel{\‾}{A})}^2\right)}\left(\underset{m}{\mathrm{\Σ}}{\underset{n}{\mathrm{\Σ}}(B_{\mathrm{mn}}-\stackrel{\‾}{B})}^2\right)}$

η ₁As long as value can guarantee that image correlativity visually is just passable because to η ₁Judgement be a kind of pre-judgement, its objective is in order to find similar image, avoid the interference of uncorrelated image.Judge from vision, generally require η ₁Value greater than 70%, promptly 0.7.

D. after judging that image to be detected is similar image, then carry out the extraction of watermarking images singular value and the reconstruct of watermarking images.The singular value of reconstructuring water-mark B passage is calculated by following formula.

$S_{\mathrm{WB}}^{\′\′}(i-1,i-1)=\frac{1}{x_2}(S_B^{\′\′}(i,i)-x_1{S}_B(i,i))i=\mathrm{2,3},......,n+1$

After obtaining the watermark singular value, the existence of directly judging watermark by singular value is not whether, but need watermarking images reconstruct be come out by singular value, judge the having or not of watermark and the true and false by the watermarking images of reality, reconstruct the B access matrix of watermarking images

$W_B^{\′\′}=U_{\mathrm{WB}}{S}_{\mathrm{WB}}^{\′\′}{V}_{\mathrm{WB}}^T$

E. calculate that reconstruct comes out matrix W _B" characteristic value, carry out the comparison of correlativity with original watermarking images, if correlativity is higher than some thresholding η ₂, then be expressed as the image that has added watermark, otherwise for not adding the image of watermark.Concrete formula is as follows:

If η ₂＜corr (W _B, W _B") is the image of embed watermark

If η ₂＞corr (W _B, W _B") is not the image of embed watermark

η ₂Value and η ₁Value similar because the both is the judgement of carrying out similarity degree, this judgement just determines whether to exist watermark, does not distinguish watermark and is real or forge.So η ₂Value remain 0.7.Certainly, according to specific circumstances, also can adjust η ₂Value.

If f. through top being judged as very, can only illustrate that then watermark exists, if but the printed matter process of having added watermark is duplicated, be printed as printed matter again, still can detect watermark.Though can be in the time of correlation detection owing to loss of detail makes correlativity in the ordinary course of things a little less than the printed matter of once printing through the watermarking images that duplicates and secondary is printed, it is very inaccurate that but its difference is used to distinguish once the image with the secondary printing, because other factor is as the reduction of rotating and displacement also can bring correlativity.Therefore, we distinguish once with the another one index and print with secondary.This index is exactly PSNR.After picture was printed through secondary, because the loss of details, Y-PSNR will descend, and we as signal, as noise, just can obtain the value of a PSNR with the watermarking images that detects with original watermarking images.If this value is higher than some thresholding η ₃, then be the printed matter of once printing, otherwise just be not.

If η ₃＜PSNR (W _BW _B") intensity is enough, is a print image

If η ₃＞PSNR (W _BW _B") undercapacity is not a print image

$\mathrm{PSNR}=10{\log }_{10}\frac{{255}^2}{\mathrm{MSE}}$

Wherein $\mathrm{MSE}=\frac{1}{\mathrm{MN}}\underset{i=0}{\overset{M-1}{\mathrm{\Σ}}}\underset{j=0}{\overset{N-1}{\mathrm{\Σ}}}{(W_B^{\′\′}(i,j)-W_B(i,j))}^2$

M and N are respectively the line number and the columns of matrix, here are exactly the size of presentation video.

η ₃Value different with two of fronts, the standard of its judgement determines according to PSNR, the PSNR reflection be the similarity degree of image detail, its value is high more, represent that two width of cloth images are approaching more in detail, otherwise difference is big more.And in the process that printed matter is forged, the easiest loss is exactly the details of image, and the loss of this details often can not be discovered by HVS.Visually may feel it is the same.By the calculating to the PSNR value, we just can tell genuine piece and counterfeit.η ₃Value be different, for different images, its value is also different, is setting η ₃Value the time to select suitable value according to image.In general, its threshold value should be 75% of a genuine piece testing result, and for example, the result that genuine piece detects is that PSNR is 20, so η ₃Value be exactly 15.

Digital watermarking algorithm and other the traditional digital watermark anti-fake technology that is used for printed matter anti-counterfeiting of the present invention herein has following difference:

1. application difference.Traditional digital watermarking algorithm use to as if Digital Media, mainly comprise medium, as digital picture, DAB, digital video etc. based on digital format.And our technology mainly is at printed matter, and this is a kind of actual entities, has analog in nature, comprises the printed matter of producing by printing process, the picture of printer prints etc.

2. the problem of Xie Jueing is different.Traditional digital watermarking algorithm that is used for Digital Media is primarily aimed at is environment in numeral, carries out the problem that various conversion make that watermark still can effectively be kept.This just require watermark will situation at digital conversion under, have good robustness.And the digital watermarking that is used for printed matter anti-counterfeiting mainly is at printing process, and watermark keeps, and when detecting watermark is tested out.This process faces two subject matters, and one is to require image is being become in the printing process of printed matter, and the method that watermark embeds and detects can guarantee that watermark still can be present in the printed matter of producing, and this just requires watermark to have robustness preferably; The secondth, in the forgery process to printed matter, watermark needs again to lose, and could make so can not detect watermark in the printed matter of forging, and just requires watermark to have fragility again.This just needs us to guarantee that by algorithm watermark is a kind of fragile watermark of easy detection.

At attack different.Traditional digital watermarking algorithm major requirement watermark can be born various numerals and be attacked, such as compression, color gamut space conversion, copy, Data Format Transform etc.And printed matter anti-counterfeiting is digital-to-analog conversion when printed matter generates, and the stage of detecting at printed matter then needs to carry out analog to digital conversion.Except the attack of modulus, digital-to-analog conversion, what printed matter mainly was subjected in the process of using and detecting is some physical attacks, as damaged, rotation, displacement, geometric deformation, light etc.In the analog to digital conversion, the distortion that causes owing to sampling also can cause the loss of digital watermark data precision.Therefore, our method just need design at the attack different with classic method.

Claims (9)

1. the embedding grammar of a printed matter anti-counterfeit digital water print is characterized in that, the embedding grammar of described printed matter anti-counterfeit digital water print comprises step:

A. in the RGB color gamut space, respectively original image and watermarking images are divided into R, G, three subchannel matrix of B, the subchannel matrix of original image is designated as I respectively _R, I _G, I _B, the subchannel matrix of watermarking images is designated as W respectively _R, W _G, W _B

B. arbitrary matrix or all matrixes in three matrixes that are divided into by watermarking images among the step a and the corresponding matrix that is divided into by original image are carried out svd;

C. the singular value of arbitrary matrix that the watermarking images among the step b the is divided into singular value that is embedded into the matrix that corresponding original image is divided into gets on, and utilizes the new singular value that forms to reconstruct a new matrix then;

D. two other matrix of new matrix that will be obtained by step c and original image merges, and reconstructs image.

2. the embedding grammar that is used for printed matter anti-counterfeit digital water print as claimed in claim 1 is characterized in that, among the described step b, to arbitrary matrix I, the svd formula is:

I＝USV ^T

3. the embedding grammar that is used for printed matter anti-counterfeit digital water print as claimed in claim 1 is characterized in that, the embedding formula of described step c singular value is:

$S^{\′}(i,i)=\left\{\begin{array}{cc}{x}_{1}S(i,i)+x_2{S}_W(i-1,i-1)& i=\mathrm{2,3},......,n+1\\ S(i,i)& i=1,n+2,......\end{array}\right.$

S ' is the singular value behind the embed watermark in the formula, and S is the singular value of arbitrary matrix of being divided into of original image, S _wSingular value for the corresponding matrix of watermarking images.

4. the embedding grammar that is used for printed matter anti-counterfeit digital water print as claimed in claim 3 is characterized in that, in the described Superposition Formula, and X ₁+ X ₂=1.

5. the embedding grammar that is used for printed matter anti-counterfeit digital water print as claimed in claim 1 is characterized in that, described step b is: to the matrix W of watermarking images B passage _RAnd corresponding matrix I by original image B passage _RCarry out svd.

6. a detection method that contains the printed matter true and false of digital watermarking is characterized in that, the described detection method that contains the printed matter true and false of digital watermarking comprises step:

A. printed matter to be detected is sampled, be converted into digital picture to be detected;

B. digital picture to be detected is divided into R, G, three subchannel matrix of B, extracts the subchannel matrix that watermark exists, and this matrix is carried out svd;

C. judge whether digital picture to be detected and original image are similar image, if "No", digital picture then to be detected is pseudo-goods, if "Yes" is then carried out next step;

D. extract the singular value that has the watermarking images subchannel matrix in the digital picture to be detected, reconstruct the matrix of this subchannel of watermarking images;

E. by correlativity by watermarking images subchannel matrix that reconstructs in the steps d and correct watermarking images corresponding subchannel matrix, whether to judge in the digital picture to be detected embed watermark information, if "No", digital picture then to be detected is pseudo-goods, if "Yes" is then carried out next step;

F. judge whether the digital picture to be detected that has correct watermark is genuine piece, if "Yes", then Dui Ying printed matter to be detected is a genuine piece, if "No", then Dui Ying printed matter to be detected is pseudo-product.

7. the detection method that contains the printed matter true and false of digital watermarking as claimed in claim 6, it is characterized in that whether digital picture to be detected and original image are that the method for similar image is among the described step c: the correlativity of judging the corresponding subchannel matrix of the subchannel matrix of digital picture to be detected and original image.

8. the detection method that contains the printed matter true and false of digital watermarking as claimed in claim 6 is characterized in that, has being calculated as of singular value of watermarking images subchannel matrix in the digital picture to be detected of the extraction in the described steps d:

$S_W^{\′\′}(i-1,i-1)=\frac{1}{x_2}(S^{\′\′}(i,i)-x_{1}S(i,i)),i=\mathrm{2,3},......,n+1$

" be the singular value of the subchannel matrix that drawn by step b, S is the singular value of the corresponding subchannel matrix of original image to S in the formula.

9. the detection method that contains the printed matter true and false of digital watermarking as claimed in claim 6, it is characterized in that, whether the described detection printed matter of described step f is that the method for genuine piece is: with correct watermarking images as signal, with detected watermarking images is noise, obtain a Y-PSNR value, if this value is higher than threshold value, then this printed matter is to print for the first time or printing, is genuine piece; If this value is lower than threshold value, then this printed matter is not a genuine piece, is counterfeit.

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