CN106056522A - Digital watermarking system based on curvelet transformation - Google Patents

Digital watermarking system based on curvelet transformation Download PDF

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Publication number
CN106056522A
CN106056522A CN201610317603.3A CN201610317603A CN106056522A CN 106056522 A CN106056522 A CN 106056522A CN 201610317603 A CN201610317603 A CN 201610317603A CN 106056522 A CN106056522 A CN 106056522A
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CN
China
Prior art keywords
image
energy
watermarking
digital watermarking
subband
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Pending
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CN201610317603.3A
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Chinese (zh)
Inventor
刘颖
燕皓阳
范九伦
朱婷鸽
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Xian University of Posts and Telecommunications
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Xian University of Posts and Telecommunications
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Priority to CN201610317603.3A priority Critical patent/CN106056522A/en
Publication of CN106056522A publication Critical patent/CN106056522A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/0021Image watermarking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2201/00General purpose image data processing
    • G06T2201/005Image watermarking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2201/00General purpose image data processing
    • G06T2201/005Image watermarking
    • G06T2201/0065Extraction of an embedded watermark; Reliable detection

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Editing Of Facsimile Originals (AREA)

Abstract

The invention discloses a digital watermarking system based on curvelet transformation and relates to the technical field of digital image processing. The system includes two parts of digital watermarking, embedding and extracting. A digital watermarking embedding algorithm includes the following steps: conducting curvelet transformation on an original image, calculating sub-band energy, scrambling a digital watermarking image, embedding the scrambled watermarking image to a second high frequency sub-band with largest energy calculated from a second step, conducting curvelet inverse transformation on image coefficient with embedded watermarking. A digital watermarking extraction algorithm includes the following steps: conducting curvelet transformation on a carrier image, calculating the sub-band with the largest energy; calculating energy distribution of each sub-band, marking sub-band number with the largest energy, conducting curvelet transformation on an original image, extracting the watermarking, and conducting anti-scrambling. According to the invention, the system embeds watermarking to the image and encrypts the image, guarantees invisibility of hidden information, and at the same time has excellent robustness, can combine the requirement for image searching, and overcomes influence on the precision of image searching by the embedded watermarking.

Description

A kind of digital watermarking system based on warp wavelet
Technical field
The present invention relates to digital image processing techniques field, be specifically related to a kind of digital watermarking based on warp wavelet System.
Background technology
Implicit expression watermark is distinguished the most intuitively with common watermark and is that it is the most directly visible, for copyright holder, uncommon Hope that this technology can preferably may certify that its proprietary rights, and can be used for tackling copyright problem as lawful evidence;To attack For person, it would be desirable that eliminate digital watermarking by various attack meanses, reach the purpose of the property infringements such as malice copy.This is just Digital watermarking algorithm is needed to have preferable robustness.
Either spatial domain, DCT domain, Frequency Field Digital Watermarking Algorithm, if all can inevasible change digital picture itself The value of dry pixel, such change can produce impact to the extraction of image low-level image feature, in order to take into account the accurate of image retrieval Property and the safety of image, confidentiality requirement, be necessary for designing the digital watermarking being applicable to image low-level image feature extraction algorithm Algorithm, reduces after embedding watermark, the problem that in image retrieval, precision ratio reduces as far as possible.
Summary of the invention
For not enough present on prior art, the present invention seeks to be to provide a kind of digital water based on warp wavelet Print system, reasonable in design, image embedded watermark and encrypts, it is ensured that hiding the invisibility of information, there is preferable Shandong simultaneously Rod, it is also possible to combine image retrieval demand, overcomes and embeds watermark for the impact of image retrieval precision ratio, practicality and high efficiency, easily In promoting the use of.
To achieve these goals, the present invention is to realize by the following technical solutions: a kind of based on warp wavelet Digital watermarking system, including embedding algorithm and two parts of extraction, described Digital Watermarking Embedded Algorithm step is as follows:
(1) to original image march wave conversion: identical with Texture Segmentation Algorithm based on warp wavelet, if to wheel Tire decorative pattern carries out 3 layers of warp wavelet, and the subband of third layer high frequency reaches 16, and these 16 subband energy informations are less, and Owing to needing to calculate average and the variance of these 16 subbands, cause redundancy too much;If tire tiger decorative pattern image is carried out 1 layer Warp wavelet, the information of 4 subbands essence cannot extract image texture characteristic very little, therefore this algorithm uses 2 layers of Qu Bo to image Conversion;
(2) sub belt energy is calculated: calculate the original image each sub-band coefficients energy after warp wavelet, the 2nd layer of energy of labelling The numbering of maximum subband;
(3) digital watermarking image is carried out scramble: algorithm uses Torus automorphism mapping pair original watermark image to put Disorderly;
(4) embed: the watermarking images after scramble is embedded into 2 floor height frequency that the energy calculated in second step is maximum Band;
(5) bent ripple inverse transformation: the image coefficient march ripple inverse transformation after embedding watermark be can be obtained by containing numeral The watermark carrier image of watermark.
Described digital watermarking extraction algorithm step is as follows:
(1) carrier image warp wavelet: carrier image is carried out the warp wavelet identical with original image in embedded mobile GIS and calculates Method;
(2) energy maximum subband is calculated: calculate the distribution of each sub belt energy, the subband numbering that labelling energy is maximum;
(3) original image warp wavelet: to original image march wave conversion, calculates the distribution of each sub belt energy, labelling energy Amount maximum subband numbering;
(4) watermark is extracted: by the coefficient matrix of carrier image energy maximum subband and original image energy maximum subband Coefficient matrix makes decisions;
(5) unrest is inverted: invert random number of times identical with the unrest number of times in embedded mobile GIS.
Beneficial effects of the present invention: image is embedded watermark and encrypts, to ensure the invisibility of information of hiding, is embedding After image closely similar with artwork, and contingent JPEG can be overcome in image application process to attack, cut out attacks, rotation Attack and Gaussian noise in image transmitting process, the active and passive attack pattern such as salt-pepper noise, there is preferable robustness, Native system also reduces the impact embedding watermark for image retrieval precision ratio while also ensureing safety of image.
Accompanying drawing explanation
The present invention is described in detail below in conjunction with the accompanying drawings with detailed description of the invention;
Fig. 1 is the system block diagram of the present invention;
Fig. 2 is the block diagram of Digital Watermarking Embedded Algorithm of the present invention;
Fig. 3 is the block diagram of digital watermarking extraction algorithm of the present invention.
Detailed description of the invention
For the technological means making the present invention realize, creation characteristic, reach purpose and be easy to understand with effect, below in conjunction with Detailed description of the invention, is expanded on further the present invention.
With reference to Fig. 1-3, this detailed description of the invention by the following technical solutions: a kind of digital watermarking system based on warp wavelet System, including embedding algorithm and two parts of extraction, described Digital Watermarking Embedded Algorithm step is as follows:
(1) to original image march wave conversion: identical with Texture Segmentation Algorithm based on warp wavelet, if to wheel Tire decorative pattern carries out 3 layers of warp wavelet, and the subband of third layer high frequency reaches 16, and these 16 subband energy informations are less, and Owing to needing to calculate average and the variance of these 16 subbands, cause redundancy too much;If tire tiger decorative pattern image is carried out 1 layer Warp wavelet, the information of 4 subbands essence cannot extract image texture characteristic very little, therefore this algorithm uses 2 layers of Qu Bo to image Conversion;
(2) sub belt energy is calculated: calculate the original image each sub-band coefficients energy after warp wavelet, the 2nd layer of energy of labelling The numbering of maximum subband;
(3) digital watermarking image is carried out scramble: algorithm uses Torus automorphism mapping pair original watermark image to put Disorderly;
(4) embed: the watermarking images after scramble is embedded into 2 floor height frequency that the energy calculated in second step is maximum Band, chooses the maximum subband of energy and embeds digital watermarking, it is ensured that the directivity of image does not embeds with watermark and changes;
(5) bent ripple inverse transformation: the image coefficient march ripple inverse transformation after embedding watermark be can be obtained by containing numeral The watermark carrier image of watermark.
Described digital watermarking extraction algorithm step is as follows:
(1) carrier image warp wavelet: carrier image is carried out the warp wavelet identical with original image in embedded mobile GIS and calculates Method;
(2) energy maximum subband is calculated: calculate the distribution of each sub belt energy, the subband numbering that labelling energy is maximum;
(3) original image warp wavelet: to original image march wave conversion, calculates the distribution of each sub belt energy, labelling energy Amount maximum subband numbering;
(4) watermark is extracted: by the coefficient matrix of carrier image energy maximum subband and original image energy maximum subband Coefficient matrix makes decisions;
(5) unrest is inverted: invert random number of times identical with the unrest number of times in embedded mobile GIS.
This detailed description of the invention is preferable for curve texture ability to express due to warp wavelet, can sparsely express image Edge and smooth, this characteristic can be used in Digital Watermarking System in Transform Domain algorithm to improve the robust of digital watermarking Property;Digital watermarking system based on warp wavelet utilizes the good characteristic of warp wavelet, combines with bent wave energy distribution, makes number Word watermarking algorithm combines with Texture Segmentation Algorithm, it is intended to reduce the impact embedding watermark for image retrieval precision ratio, Ensure the safety of image simultaneously, be truly realized safety and the combination of recall precision in image retrieval.
The original image being not embedded into watermark is carried out 2 layers of warp wavelet, calculates each straton band Energy distribution situation, by watermark It is embedded in the Qu Bozi band that energy is maximum after image scrambling, this ensures that theres the Energy distribution of sub-band coefficients, make energy originally Maximum subband still keeps ceiling capacity after implicit information embeds, and can preferably resist the impact of index variation, reduces coefficient Change the probability of the Energy distribution change caused.
This detailed description of the invention can carry out watermark embedding and detect whether image is tampered and attacks image, is proposed Encryption method there is preferable invisibility, it is ensured that hide information invisible, there is preferable robustness simultaneously, it is possible to gram Take the Gauss that in image application process, contingent JPEG attacks, cuts out in attack, rotation attack and image transmitting process The active and passive attack pattern such as noise, salt-pepper noise, and combine image retrieval demand, overcome embedding watermark to look into for image retrieval The impact of quasi-rate, good stability, reliability is high, has wide market application foreground.
The ultimate principle of the present invention and principal character and advantages of the present invention have more than been shown and described.The technology of the industry Personnel, it should be appreciated that the present invention is not restricted to the described embodiments, simply illustrating this described in above-described embodiment and description The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, and these become Change and improvement both falls within scope of the claimed invention.Claimed scope by appending claims and Equivalent defines.

Claims (1)

1. a digital watermarking system based on warp wavelet, it is characterised in that include embedding algorithm and extract two Point, described Digital Watermarking Embedded Algorithm step is as follows:
(1) to original image march wave conversion: if tyre tread carries out 3 layers of warp wavelet, the subband of third layer high frequency reaches To 16, and these 16 subband energy informations are less, and owing to needing to calculate average and the variance of these 16 subbands, cause superfluous Remaining information is too much;If tire tiger decorative pattern image is carried out 1 layer of warp wavelet, the information of 4 subbands essence cannot extract figure very little As textural characteristics, therefore image is used 2 layers of warp wavelet;
(2) sub belt energy is calculated: calculate the original image each sub-band coefficients energy after warp wavelet, the 2nd layer of energy maximum of labelling The numbering of subband;
(3) digital watermarking image is carried out scramble: algorithm uses Torus automorphism mapping pair original watermark image to carry out scramble;
(4) embed: the watermarking images after scramble is embedded into 2 layers of high-frequency sub-band that the energy calculated in second step is maximum;
(5) bent ripple inverse transformation: the image coefficient march ripple inverse transformation after embedding watermark be can be obtained by containing digital watermarking Watermark carrier image;
Described digital watermarking extraction algorithm step is as follows:
(1) carrier image warp wavelet: carrier image is carried out the warp wavelet algorithm identical with original image in embedded mobile GIS;
(2) energy maximum subband is calculated: calculate the distribution of each sub belt energy, the subband numbering that labelling energy is maximum;
(3) original image warp wavelet: to original image march wave conversion, calculates the distribution of each sub belt energy, and labelling energy is Big subband numbering;
(4) watermark is extracted: by the coefficient of the coefficient matrix of carrier image energy maximum subband Yu original image energy maximum subband Matrix makes decisions;
(5) unrest is inverted: invert random number of times identical with the unrest number of times in embedded mobile GIS.
CN201610317603.3A 2016-05-16 2016-05-16 Digital watermarking system based on curvelet transformation Pending CN106056522A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699508A (en) * 2009-09-03 2010-04-28 中兴通讯股份有限公司 Image digital watermark embedding and extracting method and system
CN101817268A (en) * 2010-04-02 2010-09-01 安虎 Application of digital watermarking in RFID technology
CN105335924A (en) * 2015-11-18 2016-02-17 曲阜师范大学 Wavelet domain color image watermark encryption algorithm based on differential evolution

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699508A (en) * 2009-09-03 2010-04-28 中兴通讯股份有限公司 Image digital watermark embedding and extracting method and system
CN101817268A (en) * 2010-04-02 2010-09-01 安虎 Application of digital watermarking in RFID technology
CN105335924A (en) * 2015-11-18 2016-02-17 曲阜师范大学 Wavelet domain color image watermark encryption algorithm based on differential evolution

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨晓辉 等: "基于变换的印刷防伪数字水印算法", 《中国印刷与包装研究》 *
龚劬,张建: "基于邻域均值关系的Contourlet 域量化水印算法", 《计算机工程与应用》 *

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Application publication date: 20161026