CN108898543A - A method of anti-counterfeiting information is set in the host channel of digital picture - Google Patents
A method of anti-counterfeiting information is set in the host channel of digital picture Download PDFInfo
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- CN108898543A CN108898543A CN201810726148.1A CN201810726148A CN108898543A CN 108898543 A CN108898543 A CN 108898543A CN 201810726148 A CN201810726148 A CN 201810726148A CN 108898543 A CN108898543 A CN 108898543A
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- counterfeiting information
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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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41M—PRINTING, DUPLICATING, MARKING, OR COPYING PROCESSES; COLOUR PRINTING
- B41M3/00—Printing processes to produce particular kinds of printed work, e.g. patterns
- B41M3/14—Security printing
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- 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
- G06T2201/0065—Extraction of an embedded watermark; Reliable detection
Abstract
The invention discloses a kind of in the host channel of digital picture is arranged the method for anti-counterfeiting information, includes the following steps：Step 1: the determination and color separation of host image；Step 2: the determination in host channel；Step 3: halftone screen；Step 4: setting anti-counterfeiting information；Step 5: preparing digital raster.The present invention has broken the technology prejudice in conventional phase modulation method, so that the image of middle tone and shadow can also use phase modulation, the progress of highly significant is especially achieved in the concealment of shadow image security information.
Description
Technical field
The invention belongs to technical field of image processing, and in particular to it is a kind of be arranged in the host channel of digital picture it is anti-fake
The method of information.
Background technique
China is concentrated mainly on printing material (such as paper, ink) and number for printing the research of anti-counterfeiting technology at present
It is anti-fake etc., although these technologies can reach antifalse effect, because it is more demanding to printing equipment, increased production cost
Reason is restricted, therefore is not widely used.Grating anti-counterfeiting technology is that occurred in recent years to half tone image progress
The method for anti-counterfeit of anti-fake processing, the technology is since good concealment, the confidentiality to invisible graph are high, antifalse effect is significant, does not increase
The advantages that adding additional production cost, becomes research hotspot.
Correlation theory based on Digital screening technology and human-eye visual characteristic, the Liu Zhen of Nanjing Forestry University, which is proposed, to be based on
The grating anti-counterfeiting technology research of screening duplication, and reality is simulated using method of the Adobe photoshop software to proposition
It tests, then image is exported using 7880 printer of Epson, original text of actually drawing a design is prevented with the lenticular lenses of corresponding parameter
Pseudo- effect is examined.Experiments have shown that only can just see the anti-counterfeiting information hidden in image using specific lenticular lenses, say
The bright method for anti-counterfeit has preferable antifalse effect in screening copying and printing.
Grating anti-counterfeiting technology is divided into insertion and extracts two component parts：Embedded part selects to be output after screening
Image as host image, anti-counterfeiting information is designed simultaneously as anti-pseudo-channel in selector channel on four chrominance channels of host image
It is embedded in anti-pseudo-channel；Part is extracted, designing, there is the grating detector of respective cycle to complete information extraction.Different from laser
The technologies such as holography, digital watermarking, nanometer be anti-fake, it is direct with detection means, anti-counterfeiting performance is high, attack tolerant is strong and does not increase
The advantages such as extra cost.Since imitator is difficult to obtain the screening parameter of host image and sub-image, can not extract anti-fake
Sub-image.
Specifically, in the insertion stage of anti-counterfeiting information：Using Digital screening technology, (half-tone picture after screening seems to use net
Point percentage reproduces the contrast and layer variability of continuous tone image), the half-tone picture being made of digital site is generated,
In half-tone picture, then the displacement of site is carried out using phase modulation, due to this low-frequency filter characteristics of human eye vision,
After carrying out am screening processing to halftoning host's figure, the whole part dot location for changing regional area, since site is non-
Often small, it is to feel perception that human eye will not be significantly caused behind its micro position, is embedded in anti-counterfeiting information based on this principle
To among host image, and the perception of human eye vision will not be caused.Therefore, the anti-fake realization of grating needs phase-modulation and number
Screening combines utilization.
The generation of digital site is mainly pressed dot shape founding mathematical models (mathematic(al) representation), and then is provided at one
How all record grids expose (order exposed) in mesh tune unit, mainly there is threshold method, modelling, growth model
Method and half-and-half negate this generation method in 4 of method.So far, whether based on the Moire effect either improved anti-fake side of grating
Method is embedded in the stage in the sub-image of anti-counterfeiting information, and almost all uses unified phase modulation.But in phase modulation
In, there is no the particular case for considering the digital screening combined with it used completely, the site of phase modulation is generated
Using growth model method, in the application of middle tone or shadow image, the concealment effect of anti-counterfeiting information is very bad.
Summary of the invention
The object of the present invention is to provide a kind of in the host channel of digital picture is arranged the method for anti-counterfeiting information, using pair
The generating mode that method improves site is partly negated, in the anti-pseudo-operation of grating of middle tone and shadow image, anti-counterfeiting information has excellent
Good hiding performance and extraction performance.
The present invention provides the following technical solutions：A kind of side that anti-counterfeiting information is set in the host channel of digital picture
Method includes the following steps：
Step 1: the determination and color separation of host image；
Host image is selected, host image has middle tone or shadow region, and host image is for digital document and including x
× y pixel, color separation processing obtain tetra- channels C, M, Y, K；
Step 2: the determination in host channel
Hidden conditional is set, selects channel corresponding with hidden conditional as host channel, the quantity in host channel is 1
A, remaining 3 channels are that regular channels then return to step 1 and select host image again when that can not select host channel；
Step 3: halftone screen
Using halftone screen method, to host image sliding-model control, screening parameter, screening parameter packet are set before screening
Screen frequency, screen angle, dot shape and output resolution ratio are included, note l represents the screen frequency, and the host channel adds
Net angle is α, respectively obtains host channel half-tone picture and 3 regular channels half-tone pictures after screening, half-tone picture is by net
Point distribution composition；
Remember that the corresponding color value of each pixel is f on host channel(x,y), subscript (x, y) represents the coordinate of pixel；Add
When net, work as f(x,y)When > 50%, site generation method is half-and-half to negate method；
Step 4: setting anti-counterfeiting information
Production needs the anti-counterfeiting information being arranged, and embedded location is determined in the half-tone picture of host channel, and anti-counterfeiting information is arranged,
The host channel half-tone picture for being embedded with anti-counterfeiting information is obtained, then synthesizes, is embedded with 3 regular channels half-tone pictures
The host image half-tone picture of anti-counterfeiting information；
Step 5: preparing digital raster
Designed for detecting the digital raster of anti-counterfeiting information, the area of digital raster is greater than the area of anti-counterfeiting information.
Furtherly,
In the step 3, work as f(x,y)When≤50%, site generation method is growth modelling.
Furtherly,
In the step 4, the setting method of the anti-counterfeiting information is：
Anti-counterfeiting information is placed in the figure layer of host channel half-tone picture, according to the profile of anti-counterfeiting information in host channel half
It is determined in the figure layer of tone illustration to displacement region, displacement movement will be done to the site in displacement region, remember site lateral and vertical
The displacement adjusted upward is respectively W and H, and the algorithm of displacement is：
Furtherly,
The screen angle α in the host channel is 0 °, and the algorithm of displacement is：
Furtherly,
The screen angle α in the host channel is 90 °, and the algorithm of displacement is：
Furtherly,
In the step 2, the hidden conditional includes color value condition and histogram condition, and host channel is selected as
It first carries out color value conditional filtering and carries out histogram conditional filtering again, include the following steps：
(1), color value is analyzed
The host image includes x × y pixel；Using imread function or in photoshop in MATLAB
The color value on four channels of colouring information window reading is opened in software, remembers that color value function is on tetra- channels C, M, Y, K
fC(x,y)、fM(x,y)、fY(x,y)、fK(x,y), wherein (x, y) represents the coordinate of pixel；Calculate being averaged for color value on four channels
Value, respectively obtainsUnit is %；
The color value condition isOrOrOr
Select matched channel；
(2), histogram is analyzed
The histogram for meeting the channel of color value condition is obtained in image processing software, the histogram condition is color
It is worth integrated distribution to filter out corresponding channel according to the intensity profile that histogram reacts in the channel of middle tone or shadow and make
For host channel.
Furtherly,
The color value condition isOrOrOrSelect corresponding host channel.
Furtherly,
The digital raster is the figure layer of the light refractive properties preparation of the simulation grating in image processing software, digital light
Grid are parallel to each other to be alternatively arranged and form by the identical blackstreak of length and transparent stripe；
The width of blackstreak is T1, the width of transparent stripe is T2,Digital raster is covered on and is taken
On host image half-tone picture with anti-counterfeiting information, rotation and mobile digital raster are completed anti-fake until observing anti-counterfeiting information
The extraction of information.
Furtherly,
The T1Calculation method be：
In formula,For the average value of color value on host channel.
Furtherly,
In the step 3, screen frequency is 96~169lpi, and dot shape is circle；Host image sliding-model control exists
Screen processing is adjusted using half in photoshop software or am screening algorithm process is used in Matlab software.
Beneficial effects of the present invention are characterized in particular in：
1, the present invention works as f in the generating process of site(x,y)When≤50%, site generation method is growth modelling；When
f(x,y)When > 50%, site generation method is half-and-half to negate method, on the basis of 50% site, to the net for being greater than percent 50%
Point, then take the small site being complementary point-type (i.e. the dot area of the exposure does not expose in conventional method, and surrounding should not expose
The dot area of light then selects to expose), site is obtained according to the algorithm negated；
The present invention has broken the technology prejudice in phase modulation, so that the image of middle tone and shadow can also use
Phase modulation especially achieves the progress of highly significant in the concealment of shadow image security information；
Meanwhile in the anti-pseudo-operation of the grating of middle tone and shadow image, anti-counterfeiting information have excellent hiding performance and
Extract performance；
2, based on aforementioned, for incremental color value since 50%, such as site of 51% color value, then according to 49%
Conventional method (such as growth model method) exposure, so that it may obtain circular site, finally obtain the site of 51% color value with
The shape of the site of 49% color value is identical, only difference is that the exposure point of the two on the contrary, 51% color value net
Point is Open circle；
When being incremented to 90%, then exposed according to 10% conventional method, so that it may obtain circular site, finally obtain
The site of 90% color value is identical with the shape of the site of 10% color value, but when continuing to be incremented by for example to 91%,
Then exposed according to 9% conventional method, although available circular site, the site of 90% color value and 9% color value
The shape of site is identical；
But when dot percentage is less than 10%, the concealment of anti-counterfeiting information is very good, but extract recognition performance pole
Therefore difference is not considered 90~100% color value.
3, for the present invention in such a way that color value condition and histogram condition combine, color value condition can be intuitively anti-
The average color of host image is mirrored, and histogram condition then can further obtain brightness, the contrast, rank of host image
Situations such as adjusting distribution, such method is more scientific and reasonable；
4, host image of the invention and anti-counterfeiting information have randomness, can be pre-designed various number texts
Part is also possible to the randomly selected digital document for meeting hidden conditional, improves the flexibility of practical operation；
5, the present invention also extracts anti-counterfeiting information, further demonstrates the availability of anti-counterfeiting information, anti-fake in grating
In, anti-counterfeiting information host channel concealment and by the aspect of conspicuousness two that grating extracts be evaluation grating it is anti-fake whether at
The key factor of function；
Anti-counterfeiting information can be very well hidden in host channel by the present invention, human eye nothing in the case where no grating
Method is discovered, meanwhile, when extracting anti-counterfeiting information using grating, and anti-counterfeiting information can be accurately observed under special angle, complete
One complete anti-pseudoprocess.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the host image (not showing color) in the embodiment of the present invention 1；
Fig. 2 is the anti-counterfeiting information in the embodiment of the present invention 1；
Fig. 3 is the host image half-tone picture (not showing color) that anti-counterfeiting information is carried in the embodiment of the present invention 1；
Fig. 4 is the host image half-tone picture (not showing color) in the embodiment of the present invention 1 after covering identification grating；
Fig. 5 is the host image (not showing color) in the embodiment of the present invention 2；
Fig. 6 is the anti-counterfeiting information in the embodiment of the present invention 2；
Fig. 7 is the host image half-tone picture (not showing color) that anti-counterfeiting information is carried in the embodiment of the present invention 2；
Fig. 8 is the host image half-tone picture (not showing color) in the embodiment of the present invention 2 after covering identification grating；
Fig. 9 is the host image (not showing color) in the embodiment of the present invention 3；
Figure 10 is the anti-counterfeiting information in the embodiment of the present invention 3；
Figure 11 is the host image half-tone picture (not showing color) that anti-counterfeiting information is carried in the embodiment of the present invention 3；
Figure 12 is the host image half-tone picture (not showing color) in the embodiment of the present invention 3 after covering identification grating.
Specific embodiment
Present invention will be further explained below with reference to specific examples.These embodiments are merely to illustrate the present invention and do not have to
In limiting the scope of the invention.Now in conjunction with Figure of description, the design feature that the present invention will be described in detail.
Embodiment 1
A method of anti-counterfeiting information is set in the host channel of digital picture and is included the following steps referring to Fig. 1：
Step 1: the determination and color separation of host image；
Referring to Fig. 1, host image is selected, host image has middle tone or shadow region, and host image includes x × y
A pixel, color separation processing obtain tetra- channels C, M, Y, K；
Step 2: the determination in host channel
Hidden conditional is set, selects channel corresponding with hidden conditional as host channel, the quantity in host channel is 1
A, remaining 3 channels are regular channels；
When host channel can not be selected, then returns to step 1 and select host image again；
Hidden conditional includes color value condition and histogram condition；
The first progress color value conditional filtering that is selected as in host channel carries out histogram conditional filtering, including following step again
Suddenly：
(1), color value is analyzed
The host image includes x × y pixel；In MATLAB using imread function read or
Colouring information window is opened in photoshop software and obtains color value data, remembers that color value function is on tetra- channels C, M, Y, K
fC(x,y)、fM(x,y)、fY(x,y)、fK(x,y), wherein (x, y) represents the coordinate of pixel；
The average value for calculating color value on four channels, respectively obtainsUnit is %；
The color value condition isOrOrOrSelect matched channel；
(2), histogram is analyzed
The histogram for meeting the channel of color value condition is obtained in image processing software, the histogram condition is color
It is worth integrated distribution in the channel of middle tone or shadow；
According to the intensity profile that histogram reacts, corresponding channel is filtered out as host channel, in the present embodiment, C leads to
Road is host channel；
Step 3: halftone screen
Using halftone screen method, to host image sliding-model control, screening parameter, screening parameter packet are set before screening
Include screen frequency, screen angle, dot shape and output resolution ratio；
Note l represents the screen frequency, and the screen angle in the host channel is α, respectively obtains host channel after screening
Half-tone picture and 3 regular channels half-tone pictures, half-tone picture are made of network point distribution；
The screen angle of C-channel is 0 degree, any combination that the screen angle of rest channels is 15 °, 45 ° and 75 °；
In the present embodiment, l=96lpi, output resolution ratio 1440dpi, dot shape is circular shaped lattice point；
Remember that the corresponding color value of each pixel is f on host channel(x,y), subscript (x, y) represents the coordinate of pixel；Add
When net, work as f(x,y)When≤50%, site generation method is growth modelling；Work as f(x,y)When > 50%, site generation method is pair
Partly negate method；
Step 4: setting anti-counterfeiting information
Referring to fig. 2, production needs the anti-counterfeiting information being arranged, and embedded location, setting are determined in the half-tone picture of host channel
The setting method of anti-counterfeiting information, anti-counterfeiting information is：
Anti-counterfeiting information is placed in the figure layer of host channel half-tone picture, according to the profile of anti-counterfeiting information in host channel half
It determines in the figure layer of tone illustration to displacement region, displacement movement will be done to the site in displacement region；
Note site is respectively W and H in the displacement of horizontal and vertical upper adjustment, and the algorithm of displacement is：
The host channel half-tone picture for being embedded with anti-counterfeiting information is obtained, then synthesizes, obtains with 3 regular channels half-tone pictures
To the host image half-tone picture for being embedded with anti-counterfeiting information, referring to Fig. 3.
Step 5: preparing digital raster
Designed for detecting the digital raster of anti-counterfeiting information, the area of digital raster is greater than the area of anti-counterfeiting information.
Furtherly,
Digital raster be in image processing software simulation grating light refractive properties preparation figure layer, digital raster by
The identical blackstreak of length and transparent stripe, which are parallel to each other, is alternatively arranged composition；
The width of blackstreak is T1, the width of transparent stripe is T2,Unit is mm；
Digital raster is covered on the host image half-tone picture for carrying anti-counterfeiting information, rotation and mobile digital raster,
Until observing anti-counterfeiting information, the extraction of anti-counterfeiting information is completed, referring to fig. 4.
The T1Calculation method be：
In formula,For the average value of color value on host channel, in the present embodiment
By in the present embodiment 1 host channel half-tone picture and the synthesis of 3 regular channels half-tone pictures, obtain being not embedded into anti-
The host image half-tone picture of fake information；
Further, it is evaluated respectively using SSIM (structural similarity) algorithm and WSNR (weighted signal-to-noise ratio) and is not embedded into anti-fake letter
The host image half-tone picture of breath and it is embedded with the similarity of the host image half-tone picture of anti-counterfeiting information between the two, thus
It connects to obtain the concealed evaluation result of anti-counterfeiting information, as shown in table 1 below：
1 embodiment of table, 1 concealment evaluation result
Wherein, in the evaluation method of this field, the value of SSIM is bigger closer to the value of 1 or WSNR, represents two width figures
The similarity of picture is bigger, by above-mentioned table 1 it is found that the anti-counterfeiting information of embodiment 1, concealment effect is good, is not easy to be detected by human eye.
Embodiment 2
Referring to Fig. 5~8, on the basis of embodiment 1, embodiment 2 the difference is that：
(1), host image is different；Host channel is the channel M；
(2), anti-counterfeiting information is different.
Further, by the present embodiment 2 host channel half-tone picture and the synthesis of 3 regular channels half-tone pictures, obtain
It is not embedded into the host image half-tone picture of anti-counterfeiting information；
Evaluate the place for being not embedded into anti-counterfeiting information respectively using SSIM (structural similarity) algorithm and WSNR (weighted signal-to-noise ratio)
Master image half-tone picture and it is embedded with the similarity of the host image half-tone picture of anti-counterfeiting information between the two, to obtain indirectly
The concealed evaluation result of anti-counterfeiting information, as shown in table 2 below：
2 embodiment of table, 2 concealment evaluation result
Wherein, in the evaluation method of this field, the value of SSIM is bigger closer to the value of 1 or WSNR, represents two width figures
The similarity of picture is bigger, by above-mentioned table 2 it is found that the anti-counterfeiting information of embodiment 1, concealment effect is good, is not easy to be detected by human eye.
Embodiment 3
Referring to Fig. 9~12, on the basis of embodiment 1, embodiment 3 the difference is that：
(1), host image is different；Host channel is the channel M；
(2), anti-counterfeiting information is different.
Further, by the present embodiment 3 host channel half-tone picture and the synthesis of 3 regular channels half-tone pictures, obtain
It is not embedded into the host image half-tone picture of anti-counterfeiting information；
Evaluate the place for being not embedded into anti-counterfeiting information respectively using SSIM (structural similarity) algorithm and WSNR (weighted signal-to-noise ratio)
Master image half-tone picture and it is embedded with the similarity of the host image half-tone picture of anti-counterfeiting information between the two, to obtain indirectly
The concealed evaluation result of anti-counterfeiting information, as shown in table 3 below：
3 embodiment of table, 3 concealment evaluation result
Wherein, in the evaluation method of this field, the value of SSIM is bigger closer to the value of 1 or WSNR, represents two width figures
The similarity of picture is bigger, by above-mentioned table 3 it is found that the anti-counterfeiting information of embodiment 3, concealment effect is good, is not easy to be detected by human eye.
The present invention also carries out subjective assessment to embodiment 1,2 and 3 respectively, subjective assessment be allow estimator to one group of image by
Quality height provides mass fraction.Subjective assessment includes：
(1) the concealment evaluation to anti-counterfeiting information in host image；
(2) evaluation of conspicuousness is extracted to digital raster；
Subjective assessment scale is as shown in table 4：
4 subjective assessment scale of table
In order to guarantee the meaning of image subjective assessment, the estimator for participating in scoring includes overview person and professional person are total
389, and the score value that it is provided is weighted and averaged to obtain normalization evaluation of estimate.
5 concealment of table evaluates score
Table 6 extracts conspicuousness and evaluates score
According to table 5 it is found that anti-counterfeiting information in Examples 1 to 3, the concealment in host image is higher, and human eye can not
Directly discover, according to table 6 it is found that extraction effect is fine, and watching for capable of being apparent is anti-fake when carrying out anti-counterfeiting information extraction
Information.
In conclusion subjective assessment further demonstrates the availability of anti-counterfeiting information in the present invention, in grating is anti-fake, prevent
Fake information is successfully whether evaluation grating anti-fake in the concealment in host channel and by two aspects of conspicuousness that grating extracts
Key factor.
Anti-counterfeiting information can be very well hidden in host channel by the present invention, human eye nothing in the case where no grating
Method is discovered, meanwhile, when extracting anti-counterfeiting information using grating, and anti-counterfeiting information can be accurately observed under special angle, complete
One complete anti-pseudoprocess.
Claims (10)
1. a kind of method that anti-counterfeiting information is arranged in the host channel of digital picture, which is characterized in that include the following steps：
Step 1: the determination and color separation of host image
Host image is selected, host image has middle tone or shadow region, and host image is for digital document and including x × y
A pixel, color separation processing obtain tetra- channels C, M, Y, K；
Step 2: the determination in host channel
Hidden conditional is set, selects channel corresponding with hidden conditional as host channel, the quantity in host channel is 1,
Remaining 3 channels are that regular channels then return to step 1 and select host image again when that can not select host channel；
Step 3: halftone screen
Using halftone screen method, to host image sliding-model control, screening parameter is set, screening parameter includes adding before screening
Screen density, screen angle, dot shape and output resolution ratio, note l represent the screen frequency, the screening angle in the host channel
Degree is α, host channel half-tone picture and 3 regular channels half-tone pictures is respectively obtained after screening, half-tone picture is by site point
Cloth composition；
Remember that the corresponding color value of each pixel is f on host channel(x,y), subscript (x, y) represents the coordinate of pixel；Screening
When, work as f(x,y)When > 50%, site generation method is half-and-half to negate method；
Step 4: setting anti-counterfeiting information
Production needs the anti-counterfeiting information being arranged, and embedded location is determined in the half-tone picture of host channel, and anti-counterfeiting information is arranged, obtains
It is embedded with the host channel half-tone picture of anti-counterfeiting information, is then synthesized with 3 regular channels half-tone pictures, obtains being embedded with anti-fake
The host image half-tone picture of information；
Step 5: preparing digital raster
Designed for detecting the digital raster of anti-counterfeiting information, the area of digital raster is greater than the area of anti-counterfeiting information.
2. the method according to claim 1 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
In the step 3, work as f(x,y)When≤50%, site generation method is growth modelling.
3. the method according to claim 1 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
In the step 4, the setting method of the anti-counterfeiting information is：
Anti-counterfeiting information is placed in the figure layer of host channel half-tone picture, according to the profile of anti-counterfeiting information in host channel halftoning
It is determined in the figure layer of figure to displacement region, displacement movement will be done to the site in displacement region, remember site on horizontal and vertical
The displacement of adjustment is respectively W and H, and the algorithm of displacement is：
4. the method according to claim 3 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
The screen angle α in the host channel is 0 °, and the algorithm of displacement is：
5. the method according to claim 3 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
The screen angle α in the host channel is 90 °, and the algorithm of displacement is：
6. the method according to claim 1 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
In the step 2, the hidden conditional includes color value condition and histogram condition, and being selected as host channel first carries out face
Color value conditional filtering carries out histogram conditional filtering again, includes the following steps：
(1), color value is analyzed
The host image includes x × y pixel；Using imread function or in photoshop software in MATLAB
The middle color value opened on four channels of colouring information window reading, remembers that color value function is on tetra- channels C, M, Y, K
fC(x,y)、fM(x,y)、fY(x,y)、fK(x,y), wherein (x, y) represents the coordinate of pixel；Calculate being averaged for color value on four channels
Value, respectively obtainsUnit is %；
The color value condition isOrOrOrIt selects
The channel matched；
(2), histogram is analyzed
The histogram for meeting the channel of color value condition is obtained in image processing software, the histogram condition is color value collection
In be distributed in the channel of middle tone or shadow, according to the intensity profile that histogram reacts, filter out corresponding channel as place
Main channel.
7. the method according to claim 6 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
The color value condition isOrOrOrIt selects
Corresponding host channel.
8. the method according to claim 1 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
The digital raster is the figure layer of the light refractive properties preparation of the simulation grating in image processing software, and digital raster is by length
Identical blackstreak and transparent stripe, which are parallel to each other, is alternatively arranged composition；
The width of blackstreak is T1, the width of transparent stripe is T2,It is anti-fake that digital raster is covered on carrying
On the host image half-tone picture of information, rotates and move digital raster, until observing anti-counterfeiting information, complete anti-counterfeiting information
It extracts.
9. the method according to claim 8 that anti-counterfeiting information is arranged in the host channel of digital picture, it is characterised in that：
The T1Calculation method be：
In formula,For the average value of color value on host channel.
10. the method according to claim 1 that anti-counterfeiting information is arranged in the host channel of digital picture, feature exist
In：In the step 3, screen frequency is 96~169lpi, and dot shape is circle；Host image sliding-model control exists
Screen processing is adjusted using half in photoshop software or am screening algorithm process is used in Matlab software.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810726148.1A CN108898543A (en) | 2018-07-04 | 2018-07-04 | A method of anti-counterfeiting information is set in the host channel of digital picture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810726148.1A CN108898543A (en) | 2018-07-04 | 2018-07-04 | A method of anti-counterfeiting information is set in the host channel of digital picture |
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| Publication Number | Publication Date |
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| CN110163789A (en) * | 2019-05-27 | 2019-08-23 | 北京交通大学 | Halftoning based on Moire effect duplicates Fragile Watermarking Technique method |
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