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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- CN1556500A CN1556500A CNA200310117621XA CN200310117621A CN1556500A CN 1556500 A CN1556500 A CN 1556500A CN A200310117621X A CNA200310117621X A CN A200310117621XA CN 200310117621 A CN200310117621 A CN 200310117621A CN 1556500 A CN1556500 A CN 1556500A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000006243 chemical reaction Methods 0.000 title claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title description 2
- 229910052704 radon Inorganic materials 0.000 claims abstract description 42
- SYUHGPGVQRZVTB-UHFFFAOYSA-N radon atom Chemical compound [Rn] SYUHGPGVQRZVTB-UHFFFAOYSA-N 0.000 claims abstract description 42
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 230000009466 transformation Effects 0.000 claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims description 17
- 239000000284 extract Substances 0.000 claims description 9
- 230000035939 shock Effects 0.000 claims description 9
- 230000001427 coherent effect Effects 0.000 claims description 7
- 238000013507 mapping Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 241000406668 Loxodonta cyclotis Species 0.000 claims description 2
- 230000000712 assembly Effects 0.000 claims description 2
- 238000000429 assembly Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 230000001131 transforming effect Effects 0.000 abstract 1
- 238000001914 filtration Methods 0.000 description 12
- 230000006835 compression Effects 0.000 description 8
- 238000007906 compression Methods 0.000 description 8
- 230000001105 regulatory effect Effects 0.000 description 6
- 241001504519 Papio ursinus Species 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000005481 NMR spectroscopy Methods 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000006854 communication Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000007480 spreading Effects 0.000 description 1
Images
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- Image Processing (AREA)
- Editing Of Facsimile Originals (AREA)
Abstract
Description
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 |
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 |
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CNB200310117621XA CN1306453C (en) | 2003-12-30 | 2003-12-30 | Image water print embedding and detecting method of strong antiimpact performance in discrete conversion region |
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CNB200310117621XA CN1306453C (en) | 2003-12-30 | 2003-12-30 | Image water print embedding and detecting method of strong antiimpact performance in discrete conversion region |
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Publication Number | Publication Date |
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CN1556500A true CN1556500A (en) | 2004-12-22 |
CN1306453C CN1306453C (en) | 2007-03-21 |
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Cited By (3)
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 |
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 |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0920775A2 (en) * | 1997-05-29 | 1999-06-09 | Koninklijke Philips Electronics N.V. | Method and arrangement for detecting a watermark |
JP3397157B2 (en) * | 1999-01-13 | 2003-04-14 | 日本電気株式会社 | Digital watermark insertion system |
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 |
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2003
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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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CN1306453C (en) | 2007-03-21 |
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