CN106600544A - Anti-aliasing method and anti-aliasing system based on texture mapping - Google Patents

Anti-aliasing method and anti-aliasing system based on texture mapping Download PDF

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Publication number
CN106600544A
CN106600544A CN201610990506.0A CN201610990506A CN106600544A CN 106600544 A CN106600544 A CN 106600544A CN 201610990506 A CN201610990506 A CN 201610990506A CN 106600544 A CN106600544 A CN 106600544A
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Prior art keywords
edge
texture
pixel
reverse sawtooth
distance
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王雷
刘享军
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Beijing Storm Mirror Technology Co Ltd
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Beijing Storm Mirror Technology Co Ltd
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Priority to CN201610990506.0A priority Critical patent/CN106600544A/en
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    • G06T5/70
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20192Edge enhancement; Edge preservation

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Abstract

The invention discloses an anti-aliasing method and an anti-aliasing system based on texture mapping. The anti-aliasing method based on the texture mapping comprises steps that anti-aliasing factors are set; various texture pixels are acquired, and whether the texture pixels are edge pixels are determined respectively, and the border line of the edges of the texture pixels is determined; when the texture pixels are the edge pixels, a proportion of anti-aliasing bandwidth occupied by the edge distance between the texture pixels and the edge of the border line is calculated, and the numerical values of the alpha channels of the texture pixels are corrected according to the above mentioned proportion, and then the image edges are smoothened by the texture mapping processing; the anti-aliasing bandwidth is calculated according to the anti-aliasing factors. By adopting the technical scheme provided by the invention, the numerical values of the alpha channels of the texture pixels are corrected by setting the anti-aliasing factors, and therefore an edge aliasing problem in image rendering is solved.

Description

Antialiasing method and system based on texture mapping
Technical field
The disclosure relates generally to image processing field, and in particular at the field of virtual reality image related to image rendering Reason, more particularly to the antialiasing method and system based on texture mapping.
Background technology
The application of field of virtual reality is substantially and is implemented on three dimentional graph display, and all objects include user interface All it is to render presentation using perspective video camera, although the picture depended on by user interface is rectangle, due to imaging in three dimensions The change at machine visual angle, two-dimentional pinup picture border might not be parallel with the X of screen coordinate system, Y-axis, according to rasterisation principle, when When the straight line on border becomes oblique line and presents relative to screen coordinate system, if lacking gradual transition with background colour, it will side occur Edge sawtooth.
At present, mostly using the global antialiasing function for opening three dimentional graph display, the shortcoming of the function is to increase The edge pixel sample rate of all models, it is desirable to which processor has powerful disposal ability, it is very big to the expense of resource, and locate The reason time is longer.It is not convenient to use in many applications, is not particularly well suited for portable mobile terminal.
The content of the invention
In view of drawbacks described above of the prior art or deficiency, expect to provide a kind of simple and efficient antialiasing method.For Solve the above problems, the application proposes a kind of antialiasing method and system based on texture mapping.
First aspect, there is provided a kind of antialiasing method based on texture mapping, methods described include:
Set a reverse sawtooth factor;
Each texture pixel is obtained, judges whether each texture pixel is edge pixel respectively, and determine the texture picture The boundary line at plain place edge;
If edge pixel, then calculate the texture pixel and reverse sawtooth bandwidth is accounted for the Edge Distance of the boundary line Accounting, and according to the accounting amendment alpha channel of texture pixel numerical value so that Jing texture mapping process figure As smoothing for edge;
Wherein, the reverse sawtooth bandwidth is calculated according to the reverse sawtooth factor and is obtained.
Second aspect, there is provided a kind of antialiasing system based on texture mapping, the system include:
Reverse sawtooth factor setting device, is configured to set a reverse sawtooth factor;
Edge pixel determining device, is configured to obtain each texture pixel, judges that whether each texture pixel is respectively Edge pixel, and determine the boundary line at texture pixel place edge;
Correcting device, if being configured to edge pixel, then calculate the texture pixel to the boundary line edge away from From the accounting for accounting for reverse sawtooth bandwidth, and according to the accounting amendment alpha channel of texture pixel numerical value so that The image border of Jing texture mapping process it is smooth, wherein, the reverse sawtooth bandwidth is calculated according to the reverse sawtooth factor and is obtained .
According to the technical scheme that the embodiment of the present application is provided, the texture picture at edge is located at by setting the amendment of the reverse sawtooth factor The numerical value of the alpha channel of element, can solve the problem that the edge sawtooth problem of image rendering.Further, according to the application some Embodiment, by only carrying out antialiasing process to texture pixel, moreover it is possible to solve the problems, such as to waste processor resource, obtain it is easy and Efficient antialiasing treatment effect.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application other Feature, objects and advantages will become more apparent upon:
Fig. 1 shows the exemplary process diagram of the antialiasing method based on texture mapping according to the embodiment of the present application;
Fig. 2 shows the illustrative diagram of the texture coordinate according to the embodiment of the present application.
Fig. 3 shows the exemplary block diagram of the antialiasing system based on texture mapping according to the embodiment of the present application.
Specific embodiment
With reference to the accompanying drawings and examples the application is described in further detail.It is understood that this place is retouched The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that, in order to It is easy to description, in accompanying drawing, illustrate only the part related to invention.
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase Mutually combine.Below with reference to the accompanying drawings and in conjunction with the embodiments describing the application in detail.
Fig. 1 is refer to, the exemplary stream of the antialiasing method based on texture mapping according to the embodiment of the present application is shown Cheng Tu.
As shown in figure 1, in a step 101, set the reverse sawtooth factor.
In texture mapping process, setting a reverse sawtooth factor, i.e. setting needs the pixel ratio of amendment.The reverse sawtooth factor 1 is less than more than zero.
Texture mapping is the image processing method that can increase substantially image's authenticity, can be used as the image of texture using a pair The process being mapped on body surface, the body surface include polygon surface, curved surface etc..Can be to pinup picture in the texture mapping stage Color is modified, therefore present applicant proposes rendering the texture mapping stage of flow process in the way of arranging the reverse sawtooth factor, The edge sawtooth antialiasing method produced in avoiding render process.
Then in a step 102, each texture pixel is obtained, judges whether each texture pixel is edge pixel respectively, And determine the boundary line at texture pixel place edge.
Refer to Fig. 2, the schematic diagram of the texture coordinate being related in showing texture mapping, texture coordinate by image each Point is accurately mapped to the surface of the model object for needing to render.Texture pixel is equal in the horizontal and vertical span of texture coordinate For 0 to 1, and border of four sides for texture mapping up and down, the 201 of Fig. 2 is upper border line, and 202 is the right boundary line.
It is determined that whether the pixel for obtaining is edge pixel and can adopt and obtain with the following method:
Calculate respectively the texture pixel to texture mapping row to or row to centrage centre distance;
Calculated according to the reverse sawtooth factor and generate reference edge distance;
Each centre distance and the reference edge distance are respectively compared, if the centre distance is more than or equal to the base Prospective edge distance is then defined as edge pixel.
Wherein, the row of the texture mapping on texture coordinate to or row to centrage equivalent to pass through (0.5,0.5) texture The x wire 203 and vertical line 204 of coordinate points.
Edge is the fuzzy concept of comparison, and in order to be judged with quantification manner, the application defines the base for judging edge Prospective edge distance, the reference edge distance can be calculated according to the reverse sawtooth factor and be obtained.The formula which adopts is as follows:
M=1/2 × (1-f)
Wherein, Edge Distance on the basis of m;F be the reverse sawtooth factor, 0<f<1;1/2 " 1 " represents that texture pixel is sat in texture Target maximum occurrences.
As 0.05, then reference edge distance is 0.0475 to the reverse sawtooth factor for for example setting.The coordinate of a certain texture pixel A For (0.2,0.98), the distance of texture pixel A to vertical line 204 is less than 0.0475 for 0.3, and texture pixel A is to x wire 204 Distance be 0.48 be more than 0.0475.May determine that texture pixel A is edge pixel, the boundary line at place edge is upper border line 201。
It should be appreciated that in the method for above-mentioned judgement edge pixel, also can first calculate generation reference edge distance, then count Calculate texture pixel to texture mapping row to or row to the centre distance of centrage, and be respectively compared each centre distance and the benchmark Edge Distance, is defined as edge pixel if the centre distance is more than or equal to reference edge distance.
Then, in step 103, if edge pixel, then calculate the texture pixel to the boundary line edge away from From the accounting for accounting for reverse sawtooth bandwidth, and according to the accounting amendment Alpha (Alpha) passage of texture pixel number Value so that the image border of Jing texture mapping process it is smooth.
The accounting is calculated using equation below:
μ=(1/2-abs (n-1/2))/1/2 × f
Wherein, μ accounts for the accounting of reverse sawtooth bandwidth for Edge Distance, and in formula, the numerical value of 1/2 × f of denominator part is anti- Sawtooth bandwidth;
N is the abscissa value or ordinate value of the texture pixel, 0≤n≤1, the abs (n-1/2) in formula be more than The centre distance of the reference edge distance;F be the reverse sawtooth factor, 0<f<1.
The computational methods of the accounting are illustrated as a example by texture pixel A (0.2,0.98) in above-mentioned.F values are still 0.05, The centre distance 0.48 that will be greater than 0.475 substitutes into abs (n-1/2), then the accounting is equal to (1/2-0.48)/1/2 × 0.05, and which is most Whole accounting numerical value is 0.8.
The numerical value that the alpha channel of texture pixel is corrected further according to accounting μ is calculated using equation below:
α10×μ
Wherein, α1For the value of the alpha channel of revised texture pixel;α0For the Alpha of the texture pixel before amendment The value of passage;μ accounts for the accounting of reverse sawtooth bandwidth, 0≤μ≤1 for Edge Distance.
Transparence information, therefore the application are recorded by correcting edge pixel using alpha channel in image processing field Transparence information, obtain smooth edges.The value of alpha channel can adopt 1 represent according to practical situations, 8 can be adopted to represent or representing with other digits.When alpha channel sample 1 when, can only represent transparent or opaque;When Alpha channel sample 8 when, 256 grades of transparency can be represented.
Specifically, the feelings that can be applicable to based on the antialiasing method of texture mapping using OpenGL process images of the application Condition.The fragment operational phase for such as rendering flow process in OpenGL can be repaiied to the transparency of the color value of user interface pinup picture Just.Defining a reverse sawtooth factor first needs the pixel ratio of gradual change, is such as set as 0.05, then calculates pinup picture pixel To the distance and reference edge distance at pinup picture center, whether it is amendment color according to the centre distance and reference edge Distance Judgment The pixel of the transparency of value, carries out the amendment of transparency if centre distance is more than reference edge distance, does not otherwise correct.On State judge process respectively to be performed once according to U coordinate and V coordinate figures.Revised transparency is assigned to into the pixel finally.Its In, UV coordinates are Texture Coordinates system, and U coordinate represents horizontal direction, and V coordinates represent vertical direction.
With further reference to Fig. 3, showing for the antialiasing system based on texture mapping according to the embodiment of the present application is it illustrates Example property structured flowchart.
A kind of antialiasing system 300 based on texture mapping, the system include:
Reverse sawtooth factor setting device 310, is configured to set the reverse sawtooth factor;
Edge pixel determining device 320, is configured to obtain each texture pixel, whether judges each texture pixel respectively For edge pixel, and determine the boundary line at texture pixel place edge;
Correcting device 330, if being configured to edge pixel, then calculates the texture pixel to the edge of the boundary line Distance accounts for the accounting of reverse sawtooth bandwidth, and according to the accounting amendment alpha channel of texture pixel numerical value, make The smooth of the image border that Jing texture mapping is processed is obtained, wherein, the reverse sawtooth bandwidth is calculated according to the reverse sawtooth factor Obtain.
Preferably, edge pixel determining device 320 includes:
Centre distance computing device 321, be configured to calculate respectively the texture pixel to texture mapping row to or row To the centre distance of centrage;
Reference edge apart from computing device 322, be configured to according to the reverse sawtooth factor calculate generate reference edge away from From;
Comparison means 323, is configured to be respectively compared each centre distance and the reference edge distance, if in described Heart distance is then defined as edge pixel more than or equal to reference edge distance.
Preferably, reference edge obtains the reference edge distance using equation below apart from computing device 322:
M=05 × (1-f)
Wherein, Edge Distance on the basis of m;
F be the reverse sawtooth factor, 0<f<1.
Preferably, correcting device 330 calculates the accounting using equation below:
μ=(1/2-abs (n-1/2))/1/2 × f
Wherein, μ accounts for the accounting of reverse sawtooth bandwidth for Edge Distance, the numerical value of 1/2 × f of denominator part in the formula For reverse sawtooth bandwidth;
N is the abscissa value or ordinate value of the texture pixel, 0≤n≤1, the abs (n-1/2) in formula be more than The centre distance of the reference edge distance;
F be the reverse sawtooth factor, 0<f<1.
Preferably, correcting device 330 realizes the amendment of the alpha channel of texture pixel using equation below:
α10×μ
Wherein, α1For the value of the alpha channel of revised texture pixel;
α0For the value of the alpha channel of the texture pixel before amendment;
μ is the accounting that the Edge Distance accounts for reverse sawtooth bandwidth.
Preferably, the numerical range of reverse sawtooth factor f is:0.01≤f≤0.05.
Flow chart and block diagram in accompanying drawing, it is illustrated that according to the system of various embodiments of the invention, method and computer journey The architectural framework in the cards of sequence product, function and operation.At this point, each square frame in flow chart or block diagram can generation A part for table one module, program segment or code, a part for the module, program segment or code include one or more For realizing the executable instruction of the logic function of regulation.It should also be noted that in some realizations as replacement, institute in square frame The function of mark can also occur with the order different from being marked in accompanying drawing.For example, the two square frame reality for succeedingly representing On can perform substantially in parallel, they can also be performed sometimes in the opposite order, and this is depending on involved function.Also to It is noted that the combination of block diagram and/or each square frame and block diagram and/or the square frame in flow chart in flow chart, Ke Yiyong Perform the function of regulation or the special hardware based system of operation to realize, or can be referred to computer with specialized hardware The combination of order is realizing.
Above description is only the preferred embodiment and the explanation to institute's application technology principle of the application.People in the art Member is it should be appreciated that invention scope involved in the application, however it is not limited to the technology of the particular combination of above-mentioned technical characteristic Scheme, while should also cover in the case of without departing from the inventive concept, is carried out by above-mentioned technical characteristic or its equivalent feature Combination in any and other technical schemes for being formed.Such as features described above has similar work(with (but not limited to) disclosed herein The technical scheme that the technical characteristic of energy is replaced mutually and formed.

Claims (12)

1. a kind of antialiasing method based on texture mapping, it is characterised in that methods described includes:
The setting reverse sawtooth factor;
Each texture pixel is obtained, judges whether each texture pixel is edge pixel respectively, and determine the texture pixel institute In the boundary line at edge;
If edge pixel, then calculate the texture pixel and accounting for for reverse sawtooth bandwidth is accounted for the Edge Distance of the boundary line Than, and according to the accounting amendment alpha channel of texture pixel numerical value so that Jing texture mapping process image Edge it is smooth;
Wherein, the reverse sawtooth bandwidth is calculated according to the reverse sawtooth factor and is obtained.
2. method according to claim 1, it is characterised in that described to judge whether each texture pixel is edge respectively Pixel includes:
Calculate respectively the texture pixel to texture mapping row to or row to centrage centre distance;
Calculated according to the reverse sawtooth factor and generate reference edge distance;
Each centre distance and the reference edge distance are respectively compared, if the centre distance is more than or equal to the true edge Edge distance is then defined as edge pixel.
3. method according to claim 2, it is characterised in that the reference edge distance is calculated using equation below and obtained :
M=1/2 × (1-f)
Wherein, Edge Distance on the basis of m;
F be the reverse sawtooth factor, 0<f<1.
4. method according to claim 1, it is characterised in that the accounting adopts equation below:
μ=(1/2-abs (n-1/2))/1/2 × f
Wherein, μ accounts for the accounting of reverse sawtooth bandwidth for Edge Distance, and in formula, the numerical value of 1/2 × f of denominator part is reverse sawtooth Bandwidth;
N is the abscissa value or ordinate value of the texture pixel, 0≤n≤1, and the abs (n-1/2) in formula is more than described The centre distance of reference edge distance;
F be the reverse sawtooth factor, 0<f<1.
5. method according to claim 1, it is characterised in that the texture pixel according to the accounting amendment Ah You adopt equation below by the numerical value of method passage:
α10×μ
Wherein, α1For the value of the alpha channel of revised texture pixel;
α0For the value of the alpha channel of the texture pixel before amendment;
μ is the accounting that the Edge Distance accounts for reverse sawtooth bandwidth.
6. according to the arbitrary described method of claim 1-5, it is characterised in that the numerical range of reverse sawtooth factor f is: 0.01≤f≤0.05。
7. a kind of antialiasing system based on texture mapping, it is characterised in that the system includes:
Reverse sawtooth factor setting device, is configured to set the reverse sawtooth factor;
Edge pixel determining device, is configured to obtain each texture pixel, judges whether each texture pixel is edge respectively Pixel, and determine the boundary line at texture pixel place edge;
Correcting device, if being configured to edge pixel, then calculates the texture pixel and accounts for the Edge Distance of the boundary line The accounting of reverse sawtooth bandwidth, and according to the accounting amendment alpha channel of texture pixel numerical value so that Jing stricture of vaginas The image border of reason stick picture disposing it is smooth, wherein, the reverse sawtooth bandwidth is calculated according to the reverse sawtooth factor and is obtained.
8. system according to claim 7, it is characterised in that the edge pixel determining device includes:
Centre distance computing device, be configured to calculate respectively the texture pixel to texture mapping row to or row to centrage Centre distance;
Reference edge is configured to calculate generation reference edge distance according to the reverse sawtooth factor apart from computing device;
Comparison means, is configured to be respectively compared each centre distance and the reference edge distance, if the centre distance Then it is defined as edge pixel more than or equal to reference edge distance.
9. system according to claim 8, it is characterised in that the reference edge adopts equation below apart from computing device Obtain the reference edge distance:
M=05 × (1-f)
Wherein, Edge Distance on the basis of m;
F be the reverse sawtooth factor, 0<f<1.
10. system according to claim 7, it is characterised in that the correcting device using equation below calculate described in account for Than:
μ=(1/2-abs (n-1/2))/1/2 × f
Wherein, μ accounts for the accounting of reverse sawtooth bandwidth for Edge Distance, and in the formula, the numerical value of 1/2 × f of denominator part is anti- Sawtooth bandwidth;
N is the abscissa value or ordinate value of the texture pixel, 0≤n≤1, and the abs (n-1/2) in formula is more than described The centre distance of reference edge distance;
F be the reverse sawtooth factor, 0<f<1.
11. systems according to claim 7, it is characterised in that the correcting device realizes texture picture using equation below The amendment of the alpha channel of element:
α10×μ
Wherein, α1For the value of the alpha channel of revised texture pixel;
α0For the value of the alpha channel of the texture pixel before amendment;
μ is the accounting that the Edge Distance accounts for reverse sawtooth bandwidth.
12. according to the arbitrary described system of claim 7-11, it is characterised in that the numerical range of reverse sawtooth factor f is: 0.01≤f≤0.05。
CN201610990506.0A 2016-11-10 2016-11-10 Anti-aliasing method and anti-aliasing system based on texture mapping Pending CN106600544A (en)

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CN113837955A (en) * 2021-08-17 2021-12-24 每平每屋(上海)科技有限公司 Image anti-aliasing processing method and electronic equipment

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