CN1556500A - Image water print embedding and detecting method of strong antiimpact performance in discrete conversion region - Google Patents
Image water print embedding and detecting method of strong antiimpact performance in discrete conversion region Download PDFInfo
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Abstract
The invention discloses an inserting and detecting method of strong-shock resistance image watermark in a disperse Radon transformation domain: a, setting pseudorandom watermark sequences containing copyright information; b, self-adapting to estimate the inserting parameters of the watermark; c, transforming a digital image with 256 gradations to a Radon-domain project and obtaining a control secret key; d, in turn and in sequence, inserting the pseudorandom watermark sequences in the corresponding positions on the Radon-transformation project and by a Radon reverse transformation, obtaining a watermark-inserted image; e, making a disperse Radon transformation on the watermark-inserted image, according to the control secret key, determining the concrete position of inserting the watermark and extracting a watermark to be detected compared with the Radon transformation of the original image; f, according to the length of the watermark, determining a detecting threshold value, and making relative detection on the watermark to be detected and the real watermark. During the transmission or spread of a digital image, it can make copyright identification and prevent purposive distortion and copy.
Description
Technical field
The present invention relates to a kind of Information hiding of digital picture and the method for extraction, especially relate to a kind of copyright identification of digital image, multimedia digital image, digital graphic product, video image and discrete image watermark of the strong shock resistance of tool in (Radon) transform domain that draws of copyright protection of being applicable to and embed and detection method.
Background technology
Digital picture is extremely important medium in the multimedia, and image has been brought into play important effect in information interchange.Simultaneously, the global transmission capacity of spreading tool such as the high precision of digital product and characteristics of easily editing and Internet has proposed great challenge to modern copyright system jointly.Under the pulling of this heavy demand of copyright protection, the research of relevant digital watermarking had obtained considerable progress in past 10 years, had now emerged in large numbers the watermark embedding method in multiple spatial domain and the transform domains such as frequency field, wavelet field.For the copyright protection of digital image; digital watermarking should have invisibility and robustness: the former requires the quality of watermark image with respect to raw image too big change can not be arranged, and the latter requires still can extract and detect the watermark that is embedded into after watermark image is subjected to the attack of common image processing.
Watermark embeds the weak signal that has been actually under the strong background of raw image superposition.Therefore, the embedding of watermark can bring to a certain degree reduction to the quality of former image more or less.The quality of watermark image reduces the capacity of degree and watermark and embeds parameter direct relation.The watermark capacity that includes copyright information is certain, has only by regulating to embed the quality that parameter guarantees watermark image.General way is to regulate embedding parameter according to this subjective assessment standard of visual effect.Although visual effect has been passed through people's psychological test, this subjective measurement that varies with each individual is difficult to become objective industry or commercial evaluation criterion in the application of reality.Therefore, determine correct objective measurement, the embedding parameter of regulating watermark under the constraint condition of given watermark image quality adaptively is one of gordian technique of digital watermarking industrialization standard.
From existing scientific research report, robustness is one and fails the problem that thoroughly solves for a long time.As being to be evenly distributed in the whole spatial domain image with a certain frequency range at discrete cosine transform (DCT) territory or the watermark embedding method in wavelet transform (DWT) territory by the watermark energy that inverse transformation embeds in transform domain.Be to guarantee the robustness of watermark, the frequency field watermark embedding method be chosen in usually transform domain in, low-frequency range embed watermark sequence.Although the watermark that embeds on a certain frequency range has robustness for the attack of image as the compression of cutting, JPEG series or shake etc., but, detect less than embedded watermark sequence under a lot of situations for will variation as its robustnesss of attack of image processing methods such as auto adapted filtering, high-pass filtering, notch filter, edge enhancing, image Segmentation, contrast variation.
Summary of the invention
One object of the present invention is to provide self-adaptation under a kind of given watermark image qualitative restrain condition to regulate the discrete image watermark embedding grammar that draws the strong shock resistance of tool in (Radon) transform domain of watermark capacity and insert depth, another object of the present invention is to provide its corresponding detection method, makes digital image can carry out the copyright identification and prevent deliberately distorting and duplicating according to this method in transmission or communication process.
Purpose of the present invention can realize that a kind of discrete image watermark embedding grammar that draws the strong shock resistance of tool in (Radon) transform domain may further comprise the steps successively by following technical measures:
A, setting include the pseudorandom watermark sequence of multiple copyright informations such as digital image autograph, author, time, mechanism;
B, according to the purposes and the requirement of digital image, determine to describe the Y-PSNR of watermark image quality, estimate the embedding parameter of watermark according to Y-PSNR, the watermark length of watermark image and the self-adaptation that concerns that embeds between the parameter three;
C, the digital image of 256 gray levels is transformed to projection in the Radon territory; The first embedded location of selected at random watermark sequence and the size of embedded matrix in the Radon transform domain, and the size that writes down this position and embedded matrix is as control key;
D, with the pseudorandom watermark sequence successively the order be embedded on the relevant position of Radon conversion projection; By the Radon inverse transformation, obtain the image of embed watermark.
The step of determining the pseudorandom watermark sequence among the step a of the present invention is: distribute corresponding length according to the various copyright informations that watermark comprised, utilizing Gauss's pseudo random sequence generator to generate the sequence of representing each information, is a watermark sequence that length to be embedded is with these short sequence assemblies in sequence.
Relational expression among the step b of the present invention between the three is:
PSNR＝10·(lg(255+0.5lg(M×N)-lgα-0.5lgL)
Wherein image is of a size of that (M * N), watermark length is L; Like this can be according to the commerce or the industrial quality requirement of digital image, determine the quality of watermark image in advance, i.e. Y-PSNR PSNR selects the embedding parameter alpha of suitable watermark then according to above-mentioned expression formula.
Another object of the present invention can realize that a kind of discrete image watermark detection method of drawing the strong shock resistance of tool in (Radon) transform domain may further comprise the steps successively by following technical measures:
E, watermark extracting are carried out Discrete Radon Transform to watermark image, according to control key, determine the particular location that watermark embeds, and compare with the Radon conversion of raw image and extract watermark to be measured;
F, watermark detection are determined detection threshold according to the length of watermark; Coherent detection is done in watermark to be measured and true watermark; If the coherent detection follower greater than detection threshold, then can be determined the copyright of image to be measured.
The concrete steps of watermark extracting are among the present invention: the Radon conversion projection for the treatment of the Discrete Radon Transform projection of mapping elephant and raw image is done calculus of differences and is obtained the difference image; According to the key of watermark control, extract from the relevant position of difference image and to equal the diversity sequence of original watermark length as watermark sequence to be measured.
The concrete steps of watermark detection are among the present invention: setting degree of correlation detection threshold is 6 times of original pseudorandom watermark sequence variance; There is watermark if the degree of correlation of watermark sequence to be measured and original watermark sequence greater than detection threshold, then can be judged to be in the image to be measured, assert that this image to be measured and raw image should have identical copyright character; Otherwise can think not have watermark in the image to be measured, image to be measured has different copyright character with raw image.
Because the present invention utilizes the character of Discrete Radon Transform to draw relational expression between Y-PSNR, watermark capacity and the embedding parameter three of watermark image, the self-adaptation that has proposed under the given image quality constraint condition embeds the method that parameter alpha is selected, thereby make watermark image keep higher Y-PSNR, guaranteed that objectively image is subjected to the influence of watermark embedding less.Simultaneously, by discrete Radon inverse transformation, watermark energy is evenly distributed in the pattern space.It is suitable faint that the insert depth α that chooses by self-adaptation, the energy of regulating the watermark signal of image in the spatial domain make it, and therefore on visual effect, watermark image and raw image can basically identicals, reached the sightless purpose of embed watermark.
The watermark signal that discrete Radon inverse transformation will be evenly distributed in the whole image field reassembles on the respective projection line.Even watermark image suffers various attack, watermark energy in the image field weakens relatively, but the superposition projection through discrete Radon inverse transformation is calculated, these energy still can gather on the relevant position in the transform domain, and detect by detecting device, so watermark embedding and detection method method that the present invention proposes have robustness preferably.
Because comprising the watermark of copyright information is Gauss's pseudo-random sequence, it is a full range band signal, the superposition of the discrete positive inverse transformation of Radon can not change the frequecy characteristic of watermark, watermark signal covers on the whole spatial domain image with the full range band, so this watermark embeds and extract the attack (seeing Table 1) that detection algorithm can be resisted all kinds wave filter (low-pass filtering, bandpass filtering, high-pass filtering, notch filter).Simultaneously, for other type as noise pollution, JPEG compression, small echo lossy compression method, filtering, cut apart, MAP, edge strengthen, contrast changes, cut apart, shake, template remove, secondary modulation and the attack of how much variations, residue watermark energy after the Radon direct transform can be attacked watermark image reassembles, and the former embedded location of watermark gets in the Radon territory, so still can detect the existence of watermark, the degree of correlation of watermark promptly to be measured and original watermark still higher (seeing Table 2).
The raw image that table 1 is selected for use is 256 * 256 * 8bit " lena " image, and method of the present invention territory NEC watermarking algorithm and piecemeal DCT watermarking algorithm have carried out the contrast experiment of robustness aspect.It is worthy of note, method of the present invention can determine to embed the quality that parameter is controlled watermark image by the relational expression between the three, and the embedding parameter of other two control methodss cannot self-adaptation be regulated, and in the experiment is to embed parameter by artificial adjustment the Y-PSNR of watermark image is remained on about 43dB.The watermark sequence of three kinds of water mark method embeddings is identical.Various types of attack methods see Table 1 with parameter and the final different watermark of watermarking detecting results.
Table 2 is respectively three kinds of dissimilar images: " lena ", " baboon ", " head ".With respect to other two images, the texture of " baboon " image is relatively complicated, and contains a large amount of dark spaces or clear zone in the medical images, and " head " image of selecting for use here is the image of head nuclear magnetic resonance.In with a kind of attack method, identical watermark is embedded in each standard 256 * 256 * 8bit test image (the Y-PSNR PSNR ≈ 43dB of each watermark image).Various types of attack methods and parameter see Table 2.From by the watermark to be measured that extracts the watermark image of attacking and original watermark carry out degree of correlation detection, gained the results are shown in Table 2.
According to the relational expression between the three; under the prerequisite that guarantees the watermark image objective quality; by regulating the size of insert depth α; the watermark sequence of different length can be embedded in the raw image; so watermark embedding method of the present invention has bigger capacity; can utilize this method to embed more copyright information in image, this affirmation and copyright protection for copyright has more significance.Simultaneously, of the present invention also can be determining under the prerequisite of watermark length in advance, according to the different purposes of different images, the quality of regulating watermark image by the insert depth of adaptively selected watermark.
From table 1, table 2 and Fig. 3～Fig. 7 as can be seen, watermark embedding method method of the present invention has its distinctive feature aspect the robustness of control of the adaptive quality of watermark image and watermark.
Various types of attack methods of table 1 and testing result
| Sequence number | Attack method and parameter | The degree of correlation of watermark to be measured and true watermark | ||||
| ????lena | ????baboon | ????head | ||||
| 1 | The small echo lossy compression method | ????30.121 | ????30.815 | ????31.984 | ||
| 2 | Piecemeal 8 * 8 DCT compression | ????31.485 | ????31.040 | ????30.217 | ||
| 3 | ????MAP ????9×9 | Wiener filtering | ????16.558 | ????10.685 | ????15.456 | |
| Soft-threshold | ????10.670 | ????10.095 | ????12.544 | |||
| Hard-threshold | ????12.599 | ????10.748 | ????12.372 | |||
| 4 | The border excision | ??Pixel＝6 | ????30.683 | ????30.270 | ????31.592 | |
| ??Pixel＝18 | ????26.916 | ????22.991 | ????28.555 | |||
| 5 | The image dimensional variation Annotate [1] | ??(1/2，2) | ????14.864 | ????9.884 | ????14.854 | |
| ??(1/3，3) | ????6.980 | ????6.388 | ????7.358 | |||
| 6 | Medium filtering (7 * 7) | ????6.183 | ????6.711 | ????6.553 | ||
| 7 | Two-value is cut apart Annotate [2] | ????19.010 | ????16.846 | ????15.074 | ||
| 8 | The edge strengthens | ??Laplacian | ????27.768 | ????26.157 | ????26.823 | |
| ??Log | ????28.400 | ????27.747 | ????28.969 | |||
| ??Unsharp | ????30.996 | ????28.691 | ????28.975 | |||
| ??average | ????10.189 | ????7.368 | ????6.455 | |||
| ??guassian | ????29.512 | ????29.747 | ????30.422 | |||
| 9 | Contrast changes | ??log(f+2) | ????11.700 | ????14.834 | ????19.002 | |
| ??log(f-2) | ????7.837 | ????9.203 | ????13.607 | |||
| 10 | Image jitter | ????12.620 | ????12.161 | ????11.041 | ||
| 11 | Image albefaction (25%) | ????15.733 | ????15.3611 | ????14.597 | ||
| 12 | 0.65 ° of image rotation | ????6.908 | ????6.246 | ????8.514 | ||
| 13 | Image is local to extract 25% | ????8.589 | ????9.333 | ????11.577 | ||
| 14 | Template removes | ????30.858 | ????30.769 | ????31.315 | ||
| 15 | High-pass filtering Annotate [3] | ????12.886 | ????12.987 | ????12.778 | ||
| 16 | Notch filter Annotate [4] | ????23.053 | ????20.128 | ????23.980 | ||
| 17 | Secondary modulation | ??DPR | ????14.273 | ????13.938 | ????17.882 | |
| ??DPRCORR | ????12.096 | ????11.723 | ????17.698 | |||
Annotate [1]: (a b) refers to according to nearest neighbor algorithm the watermark image size is reduced into the original 1/a of getting parameter, is amplifying b doubly then
Annotate [2]: lana, baboon and utilize varimax to calculate the gray scale threshold value, head gray scale thresholding is got the image average
Annotate [3]: the lower bound frequency is 1/4 of high frequency;
Annotate [4]: the trap frequency range is high frequency 3/4～2/4.
Table 2 watermark robustness comparing result table
| Sequence number | Attack method and parameter | Detect the similarity of target and true watermark | ||||
| The inventive method | Piecemeal DCT method | The NEC method | ||||
| ??1 | The small echo lossy compression method | ??30.121 | ??29.254 | ??30.208 | ||
| ??2 | Piecemeal 8 * 8 DCT compression | ??31.485 | ??29.9774 | ??19.855 | ||
| ??3 | Wiener filtering (9 * 9) | ??16.558 | ??9.7521 | ??14.1283 | ||
| ??4 | The border excision | ??Pixel＝6 | ??31.6837 | ??9.7249 | ??17.9778 | |
| ??Pixel＝8 | ??30.7928 | ??6.1094 | ??10.6806 | |||
| ??5 | Image dwindles amplification | By nearest neighbor algorithm dimension of picture is dwindled 1/2, recover life size then | ??14.8635 | ??9.4886 | ??18.171 | |
| ??6 | Medium filtering (7 * 7) | ??6.1828 | ??7.5533 | ??17.5900 | ||
| ??7 | Two-value is cut apart | ??19.0094 | ??1.0166 | ??1.3093 | ||
| ??8 | The edge strengthens | Laplacian | ??27.7676 | ??0.9440 | ??0.88794 | |
| Log | ??28.4002 | ??1.4746 | ??0.4445 | |||
| Unsharp | ??30.996 | ??11.0825 | ??12.9388 | |||
| guassian | ??29.5118 | ??26.2521 | ??29.6185 | |||
| ??9 | Contrast changes | gama＝0.07 | ??7.115 | ??0.2318 | ??0.8826 | |
| gama＝6.0 | ??7.0797 | ??1.6338 | ??2.1199 | |||
| ??10 | Image jitter | ??12.6202 | ??10.1783 | ??24.8753 | ||
| ??11 | Image albefaction (25%) | ??15.7363 | ??1.2435 | ??0.9101 | ||
| ??12 | Image rotation 0.65 | ??6.9075 | ??6.2733 | ??11.6512 | ||
| ??13 | Local extract (25%) of image | ??8.5894 | ??0.0560 | ??0.0388 | ||
| ??14 | High-pass filtering (lower bound frequency be high frequency 1/4) | ??12.886 | ??1.199 | ??1.3844 | ||
| ??15 | Notch filter (trap frequency range be |
??23.053 | ??3.1044 | ??6.3439 | ||
Description of drawings
Fig. 1 is a watermark embedding method FB(flow block) of the present invention;
Fig. 2 is a method of detecting watermarks FB(flow block) of the present invention;
Fig. 3 is original " lena " image;
" lena " image (PSNR=43.172dB) of Fig. 4 after with method embed watermark sequence of the present invention;
The statistics testing result that Fig. 5 obtains with method of the present invention (degree of correlation=31.189);
Fig. 6 is the relation between coherent detection output and the watermark image antinoise pollution level of the present invention (Y-PSNR);
Fig. 7 is the relation between the image quality (Y-PSNR) after correlation detector output and the JPEG lossy compression method.
Embodiment
Below in conjunction with an example (shown in accompanying drawing 1～2), elaborate job step of the present invention.As will (gray scale is: image 0～255) embeds the watermark that comprises multiple copyright information, and then watermark extracting come out and is detected to giving one 256 * 256 * 8 bit.Its concrete implementation step is:
Step 1; according to the copyright identification of digital image and the needs of copyright protection; list that digital watermarking comprises as copyright informations such as autograph, author, time, mechanisms, distribute separately length according to the particular content of these copyright informations, generate corresponding Gauss's pseudo-random sequence respectively.These Gauss's pseudo-random sequences are stitched together according to a definite sequence, and composition has the image watermark sequence that length is L;
PSNR＝10·(lg(255+0.5lg(M×N)-lgα-0.5lgL)
Wherein image is of a size of (M * N), determine the degree of depth α that watermark embeds.
Step 3, read in the digital image of 256 gray levels, it is projected in the Discrete Radon Transform territory then; At random the first embedded location of selected watermark sequence and the embedded matrix (size of i * j) in the Radon transform domain.The size of the first embedded location and embedded matrix is designated as control key, can prevents that open back assailant from readily appreciating that the embedded location of watermark and then removing watermark.The plain sum of entry of a matrix should be more than the element sum L of watermark sequence, and the first embedded location should make embedded matrix be contained in projection matrix fully and be as the criterion.Utilize Zig-Zag scanning that projection matrix is converted into an one-dimensional sequence A.Watermark sequence is obtained a new one-dimensional sequence B according to insert depth α and this one-dimensional sequence A addition.If the length of sequence A is greater than watermark sequence, the then end position zero padding of watermark sequence makes it identical with the length of sequence A.Utilize the Zig-Zag inverse scan one-dimensional sequence B that this is new to be converted into two-dimensional matrix again then and substitute embedded matrix in the projection matrix.New projection matrix is done the Radon inverse transformation, just obtain the image of embed watermark;
Step 4, watermark extracting are the inverse process that watermark embeds: treat mapping and resemble and carry out Discrete Radon Transform, according to control key, determine the particular location that watermark embeds, extract embedded matrix.Compare with the correspondence position of the Radon conversion of raw image then and obtain Matrix C to be measured.Utilizing Zig-Zag scanning is an one-dimensional sequence D with matrix conversion to be measured, and forms sequence to be measured according to preceding L element of the length intercepting sequence D of original watermark.
Step 5, watermark detection: 6 times according to the original watermark variance are calculated detection threshold T
0Sequence to be measured and original watermark are done coherent detection; If coherent detection output is greater than detection threshold T
0, then can determine the copyright of image to be measured, otherwise image to be measured does not contain watermark.
Claims (5)
1, the image watermark embedding grammar of the strong shock resistance of tool in a kind of discrete radon transform territory is characterized in that may further comprise the steps successively:
A) set the pseudorandom watermark sequence that includes multiple copyright informations such as digital image autograph, author, time, mechanism;
B) according to the purposes and the requirement of digital image, determine to describe the Y-PSNR of watermark image quality, estimate the embedding parameter of watermark according to Y-PSNR, the watermark length of watermark image and the self-adaptation that concerns that embeds between the parameter three; Relational expression between the described three is:
PSNR＝10·(lg(255+0.5lg(M×N)-lgα-0.5lgL)
Wherein M * N is the size of image, and L is a watermark length; PSNR is a Y-PSNR, and α is the embedding parameter of watermark.
C) digital image of 256 gray levels is transformed to projection in the Radon territory; The first embedded location of selected at random watermark sequence and the size of embedded matrix in the Radon transform domain, and the size that writes down this position and embedded matrix is as control key;
D) pseudorandom watermark sequence order successively is embedded on the relevant position of Radon conversion projection; By the Radon inverse transformation, obtain the image of embed watermark.
2, the image watermark embedding grammar of the strong shock resistance of tool in the discrete radon transform according to claim 1 territory, it is characterized in that the detailed process of determining the pseudorandom watermark sequence among the step a is: distribute corresponding length according to the various copyright informations that watermark comprised, utilizing Gauss's pseudo random sequence generator to generate the sequence of representing each information, is a watermark sequence that length to be embedded is with these short sequence assemblies in sequence.
3, the image watermark detection method of the strong shock resistance of tool in a kind of discrete radon transform territory is characterized in that may further comprise the steps successively:
E) watermark extracting is carried out Discrete Radon Transform to watermark image, according to control key, determines the particular location that watermark embeds, and compares with the Radon conversion of raw image and extracts watermark to be measured;
F) watermark detection is determined detection threshold according to the length of watermark; Coherent detection is done in watermark to be measured and true watermark; If the coherent detection follower greater than detection threshold, then can be determined the copyright of image to be measured.
4, the image watermark detection method of the strong shock resistance of tool in the discrete radon transform according to claim 4 territory is characterized in that the concrete steps of watermark extracting are: the Radon conversion projection for the treatment of the Discrete Radon Transform projection of mapping elephant and raw image is done calculus of differences and is obtained the difference image; According to the key of watermark control, extract from the relevant position of difference image and to equal the diversity sequence of original watermark length as watermark sequence to be measured.
5, the image watermark detection method of the strong shock resistance of tool in the discrete radon transform according to claim 4 territory is characterized in that the concrete steps of watermark detection are: set degree of correlation detection threshold and be original pseudorandom watermark sequence variance 6 times; There is watermark if the degree of correlation of watermark sequence to be measured and original watermark sequence greater than detection threshold, then can be judged to be in the image to be measured, assert that this image to be measured and raw image should have identical copyright character; Otherwise can think not have watermark in the image to be measured, image to be measured has different copyright character with raw image.
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| CN101494053B (en) * | 2008-01-21 | 2012-10-24 | 汤姆森许可贸易公司 | Method and apparatus for determining whether or not a reference pattern is present in a received and possibly water-marked signal |
| CN115187444A (en) * | 2022-09-08 | 2022-10-14 | 杭州海康威视数字技术股份有限公司 | Image tracing information safety protection method and device and electronic equipment |
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| KR20020019563A (en) * | 2000-05-23 | 2002-03-12 | 요트.게.아. 롤페즈 | Watermark detection |
| US7496197B2 (en) * | 2001-06-14 | 2009-02-24 | Portauthority Technologies Inc. | Method and system for robust embedding of watermarks and steganograms in digital video content |
| CN1592917B (en) * | 2001-11-23 | 2012-09-05 | 塞沃路森公司 | Watermark embedding |
| US6904151B2 (en) * | 2002-01-17 | 2005-06-07 | Deguillaume Frederic | Method for the estimation and recovering of general affine transform |
-
2003
- 2003-12-30 CN CNB200310117621XA patent/CN1306453C/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007000103A1 (en) * | 2005-06-25 | 2007-01-04 | Huawei Technologies Co., Ltd. | Method for detecting the quality of the multimedia communication |
| CN100461864C (en) * | 2005-06-25 | 2009-02-11 | 华为技术有限公司 | Multimedia video communication objective quality appraising method based on digital watermark |
| US8184164B2 (en) | 2005-06-25 | 2012-05-22 | Huawei Technologies Co., Ltd. | Method for measuring multimedia video communication quality |
| CN101494053B (en) * | 2008-01-21 | 2012-10-24 | 汤姆森许可贸易公司 | Method and apparatus for determining whether or not a reference pattern is present in a received and possibly water-marked signal |
| CN115187444A (en) * | 2022-09-08 | 2022-10-14 | 杭州海康威视数字技术股份有限公司 | Image tracing information safety protection method and device and electronic equipment |
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