CN108932690A - A method of improving middle tone and shadow image raster anti-counterfeiting performance - Google Patents
A method of improving middle tone and shadow image raster anti-counterfeiting performance Download PDFInfo
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Abstract
The invention discloses a kind of methods for improving middle tone and shadow image raster anti-counterfeiting performance, include the following steps: Step 1: selecting host image；Step 2: selection host channel；Step 3: host image discretization；Step 4: setting hiding information.The present invention is based on digital screenings and linear grating principle, and in the anti-fake realization of grating for middle tone and shadow host image, hiding information has excellent hiding performance and extracts performance.
Description
Technical field
The invention belongs to technical field of image processing, and in particular to a kind of improvement middle tone and shadow image raster antifalsification
The method of energy.
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, hiding 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 hiding 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 hiding 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 hiding 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 hiding information is very bad.
Summary of the invention
The object of the present invention is to provide a kind of method for improving middle tone and shadow image raster anti-counterfeiting performance, bases of the present invention
In digital screening and linear grating principle, in the anti-pseudo-operation of grating of middle tone and shadow image, hiding information has excellent
Hiding performance and extract performance.
The present invention provides the following technical solutions: a kind of side improving middle tone and shadow image raster anti-counterfeiting performance
Method includes the following steps:
Step 1: selection host image；
Host image is selected, host image includes x × y pixel, and color separation processing obtains tetra- channels C, M, Y, K；
Step 2: selection 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: host image discretization
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 growth modelling；Work as f(x,y)When > 50%, site generation method is pair
Partly negate method；Color value, note are read using imread function in MATLABFor the average value of color value on host channel；
Step 4: the insertion of hiding information
Hiding information is selected, embedded location is determined in the half-tone picture of host channel, hiding information is set, is embedded with
The host channel half-tone picture of hiding information, then synthesizes with 3 regular channels half-tone pictures, obtains being embedded with hiding information
Host image half-tone picture；
Step 5: the extraction of hiding information
Designed for the simulation linear grating of detection of concealed information, simulating linear grating is to simulate in image processing software
The figure layer of the light refractive properties preparation of linear grating, simulates linear grating by the identical blackstreak of length and transparent stripe phase
Mutual parallel interval rearranges；
The width of blackstreak is T1, the width of transparent stripe is T2, unit is mm, the T1Calculation method are as follows:
Linear grating will be simulated to be covered on the host image half-tone picture for carrying hiding information, rotation and mobile simulation are straight
Line grating completes the extraction of hiding information until observing hiding information.
Furtherly,
In the step 4, the setting method of the hiding information are as follows:
Hiding information is placed in the figure layer of host channel half-tone picture, according to the profile of hiding 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；
When, the algorithm of displacement are as follows:
Furtherly,
The algorithm of the displacement are as follows:
Furtherly,
The screen angle α in the host channel is 0 °, the algorithm of displacement are as follows:
Furtherly,
In the step 4, the setting method of the hiding information are as follows:
Hiding information is placed in the figure layer of host channel half-tone picture, according to the profile of hiding 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,
It is describedWhen, the algorithm of displacement are as follows:
Furtherly,
The screen angle α in the host channel is 0 °, the algorithm of displacement are as follows:
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, comprising the following steps:
(1), color value is analyzed
The host image includes x × y pixel；The color value on four channels is read respectively, remembers C, M, Y, K tetra-
Color value function is f on channelC(x,y)、fM(x,y)、fY(x,y)、fK(x,y), wherein (x, y) represents the coordinate of pixel；Calculate four
The average value of color value, respectively obtains on channelUnit 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,
In the step 3, screen frequency 96lpi, 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 concealing information；
Meanwhile in the anti-pseudo-operation of the grating of middle tone and shadow image, hiding 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 hiding 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 hiding 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 hiding information, further demonstrates the availability of hiding information, anti-fake in grating
In, hiding 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；
Hiding 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 hiding information using grating, and hiding information can be accurately observed under special angle, complete
One complete anti-pseudoprocess；
6, in displacement algorithm,For the distance between two neighboring site closest approach；It is adjacent
The distance between two sites center in this manner can be to avoid in the case where all color values, hiding information
Profile on site will not be Chong Die with the generation of the site of surrounding, cause visual perception.
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 hiding information in the embodiment of the present invention 1；
Fig. 3 is the host image half-tone picture (not showing color) that hiding 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 hiding information in the embodiment of the present invention 2；
Fig. 7 is the host image half-tone picture (not showing color) that hiding 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 hiding information in the embodiment of the present invention 3；
Figure 11 is the host image half-tone picture (not showing color) that hiding 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 improving middle tone and shadow image raster anti-counterfeiting performance includes the following steps: referring to Fig. 1
Step 1: selection host image；
Referring to Fig. 1, host image is selected, host image includes x × y pixel, and color separation processing obtains C, M, Y, K tetra-
A channel；
Step 2: selection 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
It is rapid:
(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；NoteFor on host channel color value it is flat
Mean value；
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: host image discretization
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: the insertion of hiding information
Referring to fig. 2, hiding information is selected, embedded location is determined in the half-tone picture of host channel, hiding information is set, it is hidden
Hide the setting method of information are as follows:
Hiding information is placed in the figure layer of host channel half-tone picture, according to the profile of hiding 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；
It is describedWhen, the algorithm of displacement are as follows:
Since the screen angle of C-channel is 0 degree, the algorithm of displacement is preferred are as follows:
In formula,For the distance between site closest approach；
The host channel half-tone picture for being embedded with hiding information is obtained, then synthesizes, obtains with 3 regular channels half-tone pictures
To the host image half-tone picture for being embedded with hiding information, referring to Fig. 3.
Step 5: the extraction of hiding information
Designed for the simulation linear grating of detection of concealed information, simulating linear grating is to simulate in image processing software
The figure layer of the light refractive properties preparation of linear grating, simulates linear grating by the identical blackstreak of length and transparent stripe phase
Mutual parallel interval rearranges；
The width of blackstreak is T1, the width of transparent stripe is T2, unit is mm, the T1Calculation method are as follows:
In formula,For the average value of color value on host channel, in the present embodiment
Linear grating will be simulated to be covered on the host image half-tone picture for carrying hiding information, rotation and mobile simulation are straight
Line grating completes the extraction of hiding information, referring to fig. 4 until observing hiding information.
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 hidden
Hide the host image half-tone picture of information；
Further, it is evaluated respectively using SSIM (structural similarity) algorithm and WSNR (weighted signal-to-noise ratio) and is not embedded into hiding letter
The host image half-tone picture of breath and it is embedded with the similarity of the host image half-tone picture of hiding information between the two, thus
It connects to obtain the concealed evaluation result of hiding 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 hiding 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), hiding 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 hiding information；
Evaluate the place for being not embedded into hiding 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 hiding information between the two, to obtain indirectly
The concealed evaluation result of hiding 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 hiding 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), hiding 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 hiding information；
Evaluate the place for being not embedded into hiding 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 hiding information between the two, to obtain indirectly
The concealed evaluation result of hiding 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 hiding 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 hiding information in host image；
(2) evaluation of conspicuousness is extracted to simulation linear grating；
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 hiding 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 when being hidden information extraction, extraction effect is fine, and watching for capable of being apparent is hiding
Information.
In conclusion subjective assessment further demonstrates the availability of hiding information in the present invention, it is hidden in grating is anti-fake
Hiding 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.
Hiding 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 hiding information using grating, and hiding information can be accurately observed under special angle, complete
One complete anti-pseudoprocess.
Claims (9)
1. a kind of method for improving middle tone and shadow image raster anti-counterfeiting performance, which comprises the steps of:
Step 1: selection host image；
Host image is selected, host image includes x × y pixel, and color separation processing obtains tetra- channels C, M, Y, K；
Step 2: selection 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: host image discretization
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 growth modelling；Work as f(x,y)When > 50%, site generation method is half-and-half
Negate method；Color value, note are read using imread function in MATLABFor the average value of color value on host channel；
Step 4: the insertion of hiding information
Hiding information is selected, embedded location is determined in the half-tone picture of host channel, hiding information is set, obtains being embedded with hiding
The host channel half-tone picture of information, then synthesizes with 3 regular channels half-tone pictures, obtains the host for being embedded with hiding information
Image half-tone picture；
Step 5: the extraction of hiding information
Designed for the simulation linear grating of detection of concealed information, simulating linear grating is that straight line is simulated in image processing software
The figure layer of the light refractive properties preparation of grating, simulation linear grating are mutually flat by the identical blackstreak of length and transparent stripe
Row interval rearranges；
The width of blackstreak is T1, the width of transparent stripe is T2, unit is mm, the T1Calculation method are as follows:
Linear grating will be simulated to be covered on the host image half-tone picture for carrying hiding information, rotation and mobile simulation line light
Grid complete the extraction of hiding information until observing hiding information.
2. the method according to claim 1 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
It states in step 4, the setting method of the hiding information are as follows:
Hiding information is placed in the figure layer of host channel half-tone picture, according to the profile of hiding 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；
When, the algorithm of displacement are as follows:
3. the method according to claim 2 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
The algorithm that rheme is moved are as follows:
4. the method according to claim 3 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
The screen angle α for stating host channel is 0 °, the algorithm of displacement are as follows:
5. the method according to claim 1 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
It states in step 4, the setting method of the hiding information are as follows:
Hiding information is placed in the figure layer of host channel half-tone picture, according to the profile of hiding 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,
It is describedWhen, the algorithm of displacement are as follows:
6. the method according to claim 5 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
The screen angle α for stating host channel is 0 °, the algorithm of displacement are as follows:
7. the method according to claim 1 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
It states in step 2, the hidden conditional includes color value condition and histogram condition, and being selected as host channel first carries out color
Value conditional filtering carries out histogram conditional filtering again, comprising the following steps:
(1), color value is analyzed
The host image includes x × y pixel；The color value on four channels is read respectively, remembers tetra- channels C, M, Y, K
Upper color value function is fC(x,y)、fM(x,y)、fY(x,y)、fK(x,y), wherein (x, y) represents the coordinate of pixel；Calculate four channels
The average value of upper color value, respectively obtainsUnit is %；
The color value condition isOrOrOrIt selects
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 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.
8. the method according to claim 7 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
Stating color value condition isOrOrOrIt selects pair
The host channel answered.
9. the method according to claim 1 for improving middle tone and shadow image raster anti-counterfeiting performance, it is characterised in that: institute
It states in step 3, screen frequency 96lpi, dot shape is circle；Host image sliding-model control is in photoshop software
Screen processing is adjusted using half or am screening algorithm process is used in Matlab software.
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