CN109035123A - A kind of hiding information embedding grammar suitable for middle tone and shadow host image - Google Patents
A kind of hiding information embedding grammar suitable for middle tone and shadow host image Download PDFInfo
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- CN109035123A CN109035123A CN201810725579.6A CN201810725579A CN109035123A CN 109035123 A CN109035123 A CN 109035123A CN 201810725579 A CN201810725579 A CN 201810725579A CN 109035123 A CN109035123 A CN 109035123A
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
Abstract
The invention discloses a kind of hiding information embedding grammars suitable for middle tone and shadow host image, 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 improves the generating mode of site using method is half-and-half negated, 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 suitable for the hidden of middle tone and shadow host image
Hide information embedding method.
Background technique
Currently, the anti-counterfeiting printing technology in China centered on various security and commodity packaging, is concentrated mainly on paper, oil
Several aspects such as ink, printing technology and digital code anti-false are researched and developed, wherein Laser Holographic Counterfeit-proof Technique, various anti-fake oil
The anti-counterfeiting technologies such as ink are widely used.With halftoning Digital screening technology, Computerized Information Processing Tech and calculating
The big technology development of the three of the direct plate-making technology of machine, the anti-fake skill of grating that carrier is distributed as with halftone screen dot shape and spatial position
Art has also been obtained the great attention of printing industry professional person and tries to explore.
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 hiding information embedding grammars suitable for middle tone and shadow host image, adopt
With the generating mode for half-and-half negating method improvement site, in the anti-pseudo-operation of grating of middle tone and shadow image, hiding information tool
There is excellent hiding performance and extracts performance.
The present invention provides the following technical solutions: a kind of hiding information suitable for middle tone and shadow host image is embedding
Enter 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, host image sliding-model control be
Screen processing is adjusted using half in photoshop software or am screening algorithm process, halftoning are used in Matlab software
Screening parameter is set before screening, and screening parameter includes screen frequency, screen angle, dot shape and output resolution ratio, and note l is represented
The screen frequency, the screen angle in the host channel are α, and host channel half-tone picture is respectively obtained after screening and 3 normal
Channel half-tone picture is advised, half-tone picture is made of network point distribution；
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 hiding information
Hiding information is selected, embedded location is determined in the half-tone picture of host channel, hiding information is set, hiding information
Setting method 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, the algorithm of displacement are as follows:
After the completion of displacement, obtain the host channel half-tone picture for being embedded with hiding information, then with 3 half colors of regular channels
It changes the line map synthesis, obtains the host image half-tone picture for being embedded with hiding information.
Furtherly,
In the step 3, output resolution ratio is 1440dpi or 1690dpi.
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 read method of the color value are as follows:
It reads using imread function in MATLAB or opens colouring information window in photoshop software and obtain
Color value data.
Furtherly,
The color value condition isOrOrOr
Select corresponding host channel.
Furtherly,
It further include the simulation grating designed for detection of concealed information, simulated light after the step 4 setting hiding information
Grid are the figure layer of the light refractive properties preparation of the simulation grating in image processing software, and simulation grating is by the identical black of length
Striped 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,Simulation grating is covered on and is taken
On host image half-tone picture with hiding information, rotation and mobile simulation grating are completed to hide until observing hiding information
The extraction of information.
Furtherly,
The T1Calculation method are as follows:
In formula,For the average value of color value on host channel.
Furtherly,
In the step 3, screen frequency 96lpi.
Furtherly,
In the step 3, dot shape is circle.
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.
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 kind of hiding information embedding grammar suitable for middle tone and shadow host image, walks referring to Fig. 1, including as follows
It is rapid:
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；
The average value for calculating color value on four channels, 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 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: setting 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；
Note site is respectively W and H, the algorithm of displacement in the displacement of horizontal and vertical upper adjustment are as follows:
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.
Furtherly,
It further include the simulation grating designed for detection of concealed information, simulated light after the step 4 setting hiding information
Grid are the figure layer of the light refractive properties preparation of the simulation grating in image processing software, and simulation grating is by the identical black of length
Striped 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；
Simulation grating is covered on the host image half-tone picture for carrying hiding information, rotation and mobile simulation grating,
Until observing hiding information, the extraction of hiding information is completed, referring to fig. 4.
The T1Calculation method are as follows:
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 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 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 (10)
1. a kind of hiding information embedding grammar suitable for middle tone and shadow host image, which is characterized in that including walking as follows
It is rapid:
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, host image sliding-model control is soft in photoshop
Using partly adjusting screen processing or using am screening algorithm process in Matlab software in part, setting adds before halftone screen
Network parameters, screening parameter include screen frequency, screen angle, dot shape and output resolution ratio, and note l represents the screening line
Number, the screen angle in the host channel are α, respectively obtain host channel half-tone picture and 3 half colors of regular channels after screening
It changes the line map, half-tone picture is made of network point distribution；
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；
Step 4: setting hiding information
Hiding information is selected, embedded location is determined in the half-tone picture of host channel, hiding information, the setting of hiding information are set
Method 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, the algorithm of displacement are as follows:
After the completion of displacement, obtain the host channel half-tone picture for being embedded with hiding information, then with 3 regular channels half-tone pictures
Synthesis, obtains the host image half-tone picture for being embedded with hiding information.
2. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
Be: in the step 3, output resolution ratio is 1440dpi or 1690dpi.
3. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
Be: the screen angle α in the host channel is 0 °, the algorithm of displacement are as follows:
4. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
Be: in the step 2, the hidden conditional includes color value condition and histogram condition, and being selected as host channel is advanced
Row 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.
5. the hiding information embedding grammar according to claim 4 suitable for middle tone and shadow host image, feature
It is: the read method of the color value are as follows:
It reads using imread function in MATLAB or opens colouring information window in photoshop software and obtain color
Value Data.
6. the hiding information embedding grammar according to claim 4 suitable for middle tone and shadow host image, feature
Be: the color value condition isOrOrOr
Select corresponding host channel.
7. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
It is: further includes the simulation grating designed for detection of concealed information, simulation grating is after the step 4 setting hiding information
The figure layer of the light refractive properties preparation of simulation grating in image processing software, simulation grating is by the identical blackstreak of length
It is parallel to each other with transparent stripe and is alternatively arranged composition；
The width of blackstreak is T1, the width of transparent stripe is T2,Simulation grating is covered on carrying to hide
On the host image half-tone picture of information, rotates and move simulation grating, until observing hiding information, complete hiding information
It extracts.
8. the hiding information embedding grammar according to claim 7 suitable for middle tone and shadow host image, feature
It is: the T1Calculation method are as follows:
In formula,For the average value of color value on host channel.
9. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
It is: in the step 3, screen frequency 96lpi.
10. the hiding information embedding grammar according to claim 1 suitable for middle tone and shadow host image, feature
Be: in the step 3, dot shape is circle.
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Application publication date: 20181218 |