CN108665512A - A kind of adaptive halftone method for drafting - Google Patents
A kind of adaptive halftone method for drafting Download PDFInfo
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- CN108665512A CN108665512A CN201810292866.2A CN201810292866A CN108665512A CN 108665512 A CN108665512 A CN 108665512A CN 201810292866 A CN201810292866 A CN 201810292866A CN 108665512 A CN108665512 A CN 108665512A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
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Abstract
The invention discloses a kind of adaptive halftone method for drafting, color character based on Target Photo, prepare the halftoning operator of a variety of different sizes and characteristic, it is characterized as that different halftoning operators is adaptive selected in each pixel according to neighborhood of pixels, it is translated into the binarized pixel point with level effect, it is plotted on painting canvas picture, form special halftoning effect, its half-tone picture generated seems to have a sense of hierarchy, it is imbued with transformation, halftoning is interesting, and half tone image has controllability.Method for drafting through the invention can be used for commercial Art Design scheme, advertisement, product introduction etc..
Description
Technical field
The present invention relates to a kind of halftoning method for drafting of electronic pictures more particularly to a kind of adaptive halftone drafting sides
Method belongs to digital multimedia field.
Background technology
Current halftoning method for drafting is essentially all the specific embodiment party for focusing on each halftoning method for drafting
Formula does not account for the variation of the picture color feature of source picture, these methods are when carrying out halftoning drafting, to source picture
Halftoning conversion is carried out using unified halftoning operator, the variation of color character abundant on the picture of source can not be adapted to.
Invention content
The technical problem to be solved by the present invention is to：How adaptively according to the selection of color features different switching of source picture
Operator.
In order to solve the above-mentioned technical problem, the technical solution of the present invention is to provide a kind of adaptive halftone drafting sides
Method, which is characterized in that include the following steps：
1. reading the pixel data of the size of Target Photo, dimensional information and picture；
2. establishing painting canvas picture so that the painting canvas picture is identical as the size of Target Photo, and dimension is identical；
3. selecting a current pixel k from the pixel matrix of Target Photo so that pk=T (x, y), wherein p are colors
Coloured silk value, T (x, y) refers to the pixel value of the location of pixels (x, y) obtained from Target Photo；Investigate pixel k location peripheral region
Color character, and color character normalized to 0~1 numerical value；
4. according to normalization numerical value, a halftoning operator is selected, which is applied to the neighborhood of k pixels, is calculated
To new pixel value pk', and black, white two-value is converted into according to predetermined threshold value；
5. on painting canvas picture so that C (x, y)=pk', C (x, y) refers to the location of pixels obtained from painting canvas picture
The pixel value of (x, y)；
6. if also have untreated pixel, return to step 3 on Target Photo；Otherwise it arrives in next step；
7. show canvas picture.
Preferably, the Target Photo is color image or gray scale picture.
Preferably, the painting canvas picture of establishing in the step 2 is by replicating Target Photo, you can directly obtains painting canvas
Picture.
Preferably, the selection of the pixel in the step 3, it is desirable that be that can traverse all picture pixels points.
Further, the selection method of the pixel in the step 3 is sequential selection, random selection.
Preferably, the color character of the pixel in the step 3：Refer to the numerical characteristic of a certain pixel on picture, packet
Gray value, color-values, the statistical value of the neighborhood of pixels, the textural characteristics of pixel are included, the general character of these features is：Number can be used
Value description, and the numerical value can be normalized to 0~1；The statistical value of neighborhood of pixels includes that color mean value, the gray scale of neighborhood of pixels are equal
Value, color variance, gray variance, COLOR COMPOSITION THROUGH DISTRIBUTION, intensity profile.
Preferably, the selection halftoning operator in the step 4：According to the normalization numerical value of the pixel, select respectively
Different halftoning operators；The halftoning operator：There is a series of halftoning operator to supply each pixel selection, selection
According to the color character normalized value for being exactly the neighborhood of pixels, there are many various sizes of operator is available for halftoning operator.
Preferably, the predetermined threshold value in the step 4 is empirical value, is set as the intermediate value of gray value.
The present invention is based on the color characters of Target Photo, prepare the halftoning operator of a variety of different sizes and characteristic, according to
Neighborhood of pixels is characterized as that different halftoning operators is adaptive selected in each pixel, is translated into level effect
Binarized pixel point, be plotted on painting canvas picture, form special halftoning effect, the half-tone picture generated seems to have levels
Sense, it is imbued with transformation, halftoning is interesting, and half tone image has controllability.Method for drafting through the invention, can
For commercial Art Design scheme, advertisement, product introduction etc..
Description of the drawings
Fig. 1 is a kind of flow chart of adaptive halftone method for drafting.
Specific implementation mode
In order to make the present invention more obvious and understandable, hereby with preferred embodiment, and attached drawing is coordinated to be described in detail below.
The present invention is a kind of adaptive halftone method for drafting, converts Target Photo to halftoning in an adaptive way
Picture, and show on the screen.As shown in Figure 1, the method for drafting of the present invention includes the following steps：
1. reading the pixel data of the size of Target Photo T, dimensional information and picture；Target Photo can be it is colored or
Person's gray scale picture is gray scale picture in most cases；
In the present embodiment, a gray scale picture T is selected.
2. establishing painting canvas picture C so that the painting canvas picture is identical as Target Photo size, and dimension is identical；
In the present embodiment, Target Photo T is replicated, painting canvas picture C is directly obtained, painting canvas is gradually substituted in subsequent operation
Pixel value in picture C.
3. selecting a current pixel k from the pixel matrix of Target Photo T so that pk=T (x, y), wherein p are colors
Coloured silk value, T (x, y) refers to the pixel value of the location of pixels (x, y) obtained from Target Photo T.Investigate pixel k location peripheral region
Color character, and color character normalized to 0~1 numerical value；
The selection method of pixel：It can be with sequential selection, random selection or other selection methods, it is desirable that be that can traverse institute
Some picture pixels points；
The color character of pixel：Refer to the numerical characteristic of a certain pixel on picture, such as the gray value of pixel, color-values
Statistical value (the color mean value of its neighborhood, gray average, color variance, the gray scale side of (red, green, blue component value), the neighborhood of pixels
Difference, COLOR COMPOSITION THROUGH DISTRIBUTION, intensity profile etc.), textural characteristics etc., the general character of these features is：It can be described with numerical value, and the numerical value
It can be normalized to 0~1；
In the present embodiment, pixel is selected successively according to sequence from top to bottom, from left to right, with 3 × 3 neighborhood of pixel
Color character of the Variance feature as pixel.
4. according to normalization numerical value, a halftoning operator is selected, which is applied to the neighborhood of k pixels, is calculated
To new pixel value pk', and black, white two-value is converted into according to predetermined threshold value；
Select halftoning operator：According to the normalization numerical value of the pixel, different halftoning operators is selected respectively；
Halftoning operator：In the present embodiment, have a series of halftoning operator supply each pixel selection, selection according to
According to the color character normalized value for being exactly the neighborhood of pixels, halftoning operator usually has error Propagation Property, and there are many different
The operator of size is available；
In the present embodiment, there is 3 halftoning operators are selective to be used for calculating pk’：
Operator a：
In the operator of 2 row 3 row, X indicates that the position overlapped with current pixel k, remaining 5 numerical value of operator correspond to k
5 corresponding positions of surrounding, calculating defer to operator and calculate conventional method：Respective pixel around the coefficient and k of operator each position
Value, which is multiplied, to be made and result of calculation pk’.Following computational methods are identical.
Operator b：
Operator c：
Predetermined threshold value：This is empirical value, is traditionally arranged to be the intermediate value of gray value, such as 128；
In the present embodiment, threshold value is set as 128, examines or check the affiliated section of normalization numerical value of pixel neighborhoods feature, for
[0,0.333), [and 0.334,0.666), [0.666,1] three different sections have following three different operators corresponding：
Section [0,0.333), selection opertor a
Section [0.333,0.666), selection opertor b
Section [0.666,1], selection opertor c.
5. on painting canvas picture C so that C (x, y)=pk', that is to say, that by value pk' it is assigned to the picture with position with pixel k
Pixel on cloth picture C；
6. if also have untreated pixel, return to step 3 on Target Photo T；Otherwise it arrives in next step；
7. show canvas picture.
By above scheme, by Target Photo by adaptive mode, halftoning effect is completed on painting canvas picture,
Adaptive mode so that draw effect has impact force and aesthetic feeling very much.
Wherein：
Target Photo：Refer to using computer document as all kinds of electronic pictures of storage mode, including colored or gray scale figure
Piece, these pictures are the artworks for being converted into half-tone, and the effect after conversion should be using the diagram as target.
Halftoning is drawn：By each gray-scale pixels of Target Photo, is converted, be converted into black or white pixel with certain
Point, the method being plotted on new painting canvas.
Painting canvas picture：Refer to blank electronic image to be drawn, forms the electricity of desired effect after halftoning is completed
Sub-pictures.
Drawing：Refer to using various electronic displays or tool as the drafting mode of carrier.Electronic display or tool
Including but not limited to following manner：Electronic-paper display screen, cathode-ray imaging display, liquid crystal display, laser projection display mode.
It is to transmit vision signal by computer to complete to electronic display that it, which is drawn,.
Halftoning operator：It is the ginseng for referring to be applied in picture color data, implement the mathematical operation of halftoning drafting
Number, the detailed process and mode of this mathematical operation depend on each specific implementation method.In halftoning drafting, this meter
It calculates and is known as error propagation and calculates, the value for the current pixel being calculated is known as error propagation gray value, according to preset threshold value,
Convert current pixel to black, white two-value.
Color character：Refer to the numerical characteristic of picture pixels element, such as the gray value of pixel, color-values (red, green, blue
Component value), range statistics value (the color mean value of a certain pixel region, gray average, color variance, gray variance, color point
Cloth, intensity profile etc.), texture etc..
The present invention can select some existing operators, be chosen according to the converting characteristic of each operator.In the present invention
Various sizes of operator is mainly selected according to the difference of the variance of color.
In step 4 " operator is applied to the neighborhood of k pixels, new pixel value p is calculatedk' ", this is operator reality
The canonical algorithm mode applied is exactly that operator is done multiply-add operations by the pixel value of corresponding position in aligned pixel, with picture of X.
Such as：Picture pixels opsition dependent arrangement partial value be：
Using aforementioned operator a, it is assumed that the 3rd pixel of the 2nd row that current processing values are 87, then just by the X of a and 87 weights
Folded, the pixel value on corresponding position does multiply-add operation with operator value, obtains the new pixel value pk ' of the pixel, as follows：
Operator a：
Pending pixel：
Operation is as follows：
pk'=0*34+66* (7/16)+7* (3/16)+78* (5/16)+54* (1/16).
Other operators equally calculate.
Claims (8)
1. a kind of adaptive halftone method for drafting, which is characterized in that include the following steps：
1. reading the pixel data of the size of Target Photo, dimensional information and picture；
2. establishing painting canvas picture so that the painting canvas picture is identical as the size of Target Photo, and dimension is identical；
3. selecting a current pixel k from the pixel matrix of Target Photo so that pk=T (x, y), wherein p are color-values, T
(x, y) refers to the pixel value of the location of pixels (x, y) obtained from Target Photo；Investigate the color of pixel k location peripheral region
Feature, and color character is normalized to 0~1 numerical value；
4. according to normalization numerical value, a halftoning operator is selected, which is applied to the neighborhood of k pixels, is calculated new
Pixel value pk', and black, white two-value is converted into according to predetermined threshold value；
5. on painting canvas picture so that C (x, y)=pk', C (x, y) refers to the location of pixels (x, y) obtained from painting canvas picture
Pixel value；
6. if also have untreated pixel, return to step 3 on Target Photo；Otherwise it arrives in next step；
7. show canvas picture.
2. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that the Target Photo is coloured silk
Chromatic graph piece or gray scale picture.
3. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that building in the step 2
Vertical painting canvas picture is by replicating Target Photo, you can directly obtains painting canvas picture.
4. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that the picture in the step 3
The selection of element, it is desirable that be that can traverse all picture pixels points.
5. a kind of adaptive halftone method for drafting as claimed in claim 4, which is characterized in that the picture in the step 3
The selection method of element is sequential selection, random selection.
6. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that the picture in the step 3
The color character of element：Refer to the numerical characteristic of a certain pixel on picture, including the gray value of pixel, color-values, the neighborhood of pixels
Statistical value, textural characteristics, the general character of these features is：It can be described with numerical value, and the numerical value can be normalized to 0~1；
The statistical value of neighborhood of pixels includes the color mean value of neighborhood of pixels, gray average, color variance, gray variance, COLOR COMPOSITION THROUGH DISTRIBUTION, ash
Degree distribution.
7. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that the choosing in the step 4
Select halftoning operator：According to the normalization numerical value of the pixel, different halftoning operators is selected respectively；The halftoning is calculated
Son：There is a series of halftoning operator to supply each pixel selection, selection gist is exactly that the color character of the neighborhood of pixels is returned
One change value, there are many various sizes of operator is available for halftoning operator.
8. a kind of adaptive halftone method for drafting as described in claim 1, which is characterized in that pre- in the step 4
If threshold value is empirical value, it is set as the intermediate value of gray value.
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| CN201810292866.2A CN108665512A (en) | 2018-04-03 | 2018-04-03 | A kind of adaptive halftone method for drafting |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110524549A (en) * | 2019-08-19 | 2019-12-03 | 广东智媒云图科技股份有限公司 | A kind of picture-drawing method based on mechanical arm and riveting gun, apparatus and system |
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| CN103279965A (en) * | 2013-04-24 | 2013-09-04 | 上海电机学院 | Generation method for two-value stipple effect picture and video |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279965A (en) * | 2013-04-24 | 2013-09-04 | 上海电机学院 | Generation method for two-value stipple effect picture and video |
Non-Patent Citations (1)
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| 王晓红等: "一种改进误差扩散系数的半色调算法", 《包装工程》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110524549A (en) * | 2019-08-19 | 2019-12-03 | 广东智媒云图科技股份有限公司 | A kind of picture-drawing method based on mechanical arm and riveting gun, apparatus and system |
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Application publication date: 20181016 |