CN1379324A - Digital watermark method based on integer wavelet without damage to image - Google Patents
Digital watermark method based on integer wavelet without damage to image Download PDFInfo
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- CN1379324A CN1379324A CN 02111629 CN02111629A CN1379324A CN 1379324 A CN1379324 A CN 1379324A CN 02111629 CN02111629 CN 02111629 CN 02111629 A CN02111629 A CN 02111629A CN 1379324 A CN1379324 A CN 1379324A
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- China
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- data
- image
- histogram
- wavelet
- watermark
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/0028—Adaptive watermarking, e.g. Human Visual System [HVS]-based watermarking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0052—Embedding of the watermark in the frequency domain
Abstract
Description
| Operation | Effect | |
1 | Write the program of grey level histogram adjustment for the first time, the raw image histogram is added up, remove left and right sides gray scale, stay the histogram main body. | Gray scale is not overflowed (still between 0-255) when making inverse transformation | |
2 | Write small echo direct transform program, the spatial domain image with the histogram main body is transformed into the wavelet field image | Utilize wavelet field to differentiate more and remove visual Correlation properties, reach harmless purpose | |
3 | Embed data in wavelet field: adopt arithmetic coding, to former bit-plane data compression.Select bit plane to embed above-mentioned packed data, wait to transmit the gray scale sideband data of data and grey level histogram adjustment for the first time.With the program of hash function establishment, carry out key and embed. | The embedding data arrive the embedding of hanging down bit plane (as the 5th bit plane) key in highest resolution zone except that encrypting, and also can finely tune preventing to overflow | |
4 | Write the inverse wavelet transform program,, be transformed into the spatial domain image the wavelet field image | The integer lifting wavelet inverse transformation helps data and image recovery, non-loss transformation | |
5 | Grey level histogram conversion for the second time, formation adds watermark image, the call number imgae processing software carries out left and right sides ring shift adjustment to Gray Histogram. | Adjust signal noise ratio PSNR, ring shift makes the average of histogram average near raw image, and keeps harmless |
Step | Operation | Effect |
6 | Grey level histogram inverse transformation for the third time: call the opposite software approach of grey level histogram conversion for the second time, obtain and the opposite cyclic shift of the 5th step histogram. | Anti-ring shift, purpose are to recover |
7 | Small echo direct transform: call the wavelet transformation software identical and carry out conversion, space field transformation is become wavelet field with the 4th step. | Purpose is that the deciphering in the 8th step and extraction data are carried out in wavelet field, reaches harmless. |
8 | Deciphering, extract data: the employing arithmetic coding extracts the gray scale sideband data that transmits data and grey level histogram adjustment for the first time, extracts data from the specific bit plane in given resolution zone.Decipher with hash function. | Extract data from embedding data to the specific bit plane in highest resolution zone, recover the bit-plane data of wavelet field at last. |
9 | Inverse wavelet transform: call the wavelet transformation program,, be transformed into the spatial domain image with the wavelet field image. | Integer lifting wavelet transform reaches harmless and recovers. |
10 | The 4th time histogram transformation is handled: call and the opposite program of grey level histogram conversion for the first time, recover original image | Recover original grey level histogram, recover original image |
Step | Operation | Explanation |
1 | During grey level histogram is adjusted for the first time, get 30 and minimum gray scale occurs, merge, make in the histogram, 30 gray scales are zero, half on the left side, half on the right | Before 256 * 256 Lena, 256 grades of gray scales of image (between 0-255) grey level histogram adjustment for the first time, after the grey level histogram average was 118.62 grey level histogram adjustment for the first time, the grey level histogram average became 123.62 |
2 | Wavelet transformation | " lifting (Lifting) " integer wavelet direct transform, harmless |
3 | Embed data and key: comprising: the gray scale sideband data of waiting to transmit data and grey level histogram adjustment for the first time | Embed low bit plane (5th bit plane) key of data to highest resolution zone (s=3 * 256 * 256): hash function y=(k0+kx) mod (s) is y=(1030+289x) mod (3 * 256 * 256) |
4 | Inverse wavelet transform | " lifting " integer wavelet inverse transformation, the harmless recovery.Embed data in wavelet field, and after the inverse transformation, before gray scale was not overflowed (still between 0-255) grey level histogram adjustment for the second time, the grey level histogram average was 123.62 |
5 | Grey level histogram adjustment for the second time | 5 of ring shift lefts, PSNR brings up to 36.64 from 32.21, and after the more consistent second time with raw image, grey level histogram was adjusted, the grey level histogram average reverted to 118.62 |
Title | Capacity |
??Mpic1 | ??54150 |
??Mpic2 | ??70799 |
??Mpic3 | ??84500 |
??Mpic4 | ??69278 |
Title | Capacity |
Mpic5 | ?88236 |
Mpic6 | ?35183 |
Mpic7 | ?81695 |
Mpic8 | ?53896 |
Title | Capacity |
?Lena | ?85507 |
?Peppers | ?69285 |
?Airplane | ?93981 |
?Baboon | ?14916 |
Title | Capacity |
??Tiffany | ??89848 |
??Sailboat | ??44086 |
??Couple | ??84879 |
??House | ??77726 |
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CNB021116296A CN1141639C (en) | 2002-05-09 | 2002-05-09 | Digital watermark method based on integer wavelet without damage to image |
Applications Claiming Priority (1)
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CNB021116296A CN1141639C (en) | 2002-05-09 | 2002-05-09 | Digital watermark method based on integer wavelet without damage to image |
Publications (2)
Publication Number | Publication Date |
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CN1379324A true CN1379324A (en) | 2002-11-13 |
CN1141639C CN1141639C (en) | 2004-03-10 |
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CNB021116296A Expired - Lifetime CN1141639C (en) | 2002-05-09 | 2002-05-09 | Digital watermark method based on integer wavelet without damage to image |
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
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CN1326383C (en) * | 2004-06-30 | 2007-07-11 | 佳能株式会社 | Image processing apparatus, image processing method, computer program and computer readable storage medium |
CN100346322C (en) * | 2003-10-10 | 2007-10-31 | 刘彤 | Digital image recovering method based on digital water mark technology |
CN100373408C (en) * | 2003-01-22 | 2008-03-05 | 皇家飞利浦电子股份有限公司 | Perceptible reversible watermarks |
CN100385459C (en) * | 2006-07-11 | 2008-04-30 | 电子科技大学 | Image watermark method based on finite ridgelet transform |
CN100394443C (en) * | 2006-07-07 | 2008-06-11 | 中山大学 | Reversible watermark method for image certification |
CN100452091C (en) * | 2007-03-30 | 2009-01-14 | 西安电子科技大学 | Digital watermark method against geometrical attack based on image characteristic region |
CN100461213C (en) * | 2007-04-05 | 2009-02-11 | 上海交通大学 | Lossless digital watermark method having regioselectivity |
CN101006450B (en) * | 2004-03-26 | 2010-10-13 | 新泽西理工学院 | System and method for reversible data hiding based on integer wavelet spread spectrum |
CN101527041B (en) * | 2009-04-22 | 2011-03-30 | 天津大学 | Picture counterfeiting detection method based on shadow matte consistency |
CN101527037B (en) * | 2009-04-13 | 2011-05-04 | 天津大学 | Method for denoising stationary wavelet image based on neighborhood windowing |
CN102262773A (en) * | 2010-05-29 | 2011-11-30 | 深圳宝嘉电子设备有限公司 | Dual-threshold image lossless data embedding method |
CN101661605B (en) * | 2008-08-26 | 2012-07-04 | 浙江大学 | Embedding and positioning tampering methods of digital watermark and device thereof |
CN101990681B (en) * | 2008-02-01 | 2012-11-21 | 新泽西理工学院 | System and method for reversible binary image data hiding using run-length histogram modification and logical operations |
CN101505421B (en) * | 2007-12-21 | 2013-04-24 | 索尼株式会社 | Method of high dynamic range compression with detail preservation and noise constraints |
CN111444486A (en) * | 2019-12-31 | 2020-07-24 | 深圳贝特莱电子科技股份有限公司 | Startup self-adaptive fingerprint parameter initialization method based on android system |
-
2002
- 2002-05-09 CN CNB021116296A patent/CN1141639C/en not_active Expired - Lifetime
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100373408C (en) * | 2003-01-22 | 2008-03-05 | 皇家飞利浦电子股份有限公司 | Perceptible reversible watermarks |
CN100346322C (en) * | 2003-10-10 | 2007-10-31 | 刘彤 | Digital image recovering method based on digital water mark technology |
CN101006450B (en) * | 2004-03-26 | 2010-10-13 | 新泽西理工学院 | System and method for reversible data hiding based on integer wavelet spread spectrum |
CN1326383C (en) * | 2004-06-30 | 2007-07-11 | 佳能株式会社 | Image processing apparatus, image processing method, computer program and computer readable storage medium |
CN100394443C (en) * | 2006-07-07 | 2008-06-11 | 中山大学 | Reversible watermark method for image certification |
CN100385459C (en) * | 2006-07-11 | 2008-04-30 | 电子科技大学 | Image watermark method based on finite ridgelet transform |
CN100452091C (en) * | 2007-03-30 | 2009-01-14 | 西安电子科技大学 | Digital watermark method against geometrical attack based on image characteristic region |
CN100461213C (en) * | 2007-04-05 | 2009-02-11 | 上海交通大学 | Lossless digital watermark method having regioselectivity |
CN101505421B (en) * | 2007-12-21 | 2013-04-24 | 索尼株式会社 | Method of high dynamic range compression with detail preservation and noise constraints |
CN101990681B (en) * | 2008-02-01 | 2012-11-21 | 新泽西理工学院 | System and method for reversible binary image data hiding using run-length histogram modification and logical operations |
CN101661605B (en) * | 2008-08-26 | 2012-07-04 | 浙江大学 | Embedding and positioning tampering methods of digital watermark and device thereof |
CN101527037B (en) * | 2009-04-13 | 2011-05-04 | 天津大学 | Method for denoising stationary wavelet image based on neighborhood windowing |
CN101527041B (en) * | 2009-04-22 | 2011-03-30 | 天津大学 | Picture counterfeiting detection method based on shadow matte consistency |
CN102262773A (en) * | 2010-05-29 | 2011-11-30 | 深圳宝嘉电子设备有限公司 | Dual-threshold image lossless data embedding method |
CN111444486A (en) * | 2019-12-31 | 2020-07-24 | 深圳贝特莱电子科技股份有限公司 | Startup self-adaptive fingerprint parameter initialization method based on android system |
CN111444486B (en) * | 2019-12-31 | 2022-03-22 | 深圳贝特莱电子科技股份有限公司 | Startup self-adaptive fingerprint parameter initialization method based on android system |
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