CN106408499A - Method and device for getting reverse mapping table for image processing - Google Patents
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Abstract
The invention is applicable to the technical field of image processing, and provides a method and a device for getting a reverse mapping table for image processing. The method comprises the following steps: getting the floating-point pixel coordinates P'i(x'float, y'float) of an output image corresponding to an input image by traversing the integer pixel coordinates Pi(xint, yint) of the input image and querying a forward mapping table; traversing the integer pixel coordinates Pj(mint, nint) of the output image, and determining the P'i(x'float, y'float) corresponding to the Pj(mint, nint); sorting P'i, and getting N smallest-distance P'i; and building a reverse mapping table based on distances corresponding to the N smallest-distance P'i and based on N Pi corresponding to the N smallest-distance P'i in the forward mapping table. The generated reverse mapping table ensures high mapping precision, and is conductive to improving the output quality of the image processing process.
Description
Technical field
The invention belongs to the acquisition methods of the reverse Mapping table of technical field of image processing, more particularly, to image procossing
And device.
Background technology
Mapping table technology is the important method in Computer Image Processing field.In traditional anamorphose processing procedure
In, any pixel P (x, y) in input picture, through the function f pre-setting1And f2Conversion process after, correspond to defeated
Go out pixel P ' in image (x ', y '), wherein x '=f1(x, y), y '=f2(x,y).But above-mentioned conversion process is complex,
Can lead in each the click-through row operation to every two field picture time-consuming larger, cannot realize locating in real time under a lot of application scenarios
Reason, therefore, by mapping table technology, the corresponding relation calculated in advance between (x, y) and (x ', y ') is obtained and is saved in mapping
In table, need not be calculated again during practical application, as long as searching the corresponding point coordinates (x ', y ') that mapping table may know that (x, y),
Operational efficiency then can greatly improve, and is highly suitable for needing the scene of real-time processing.
By above description, mapping table technology is due to can put into Image semantic classification ring by substantial amounts of calculating process
Section, therefore operational efficiency is high.Generally, due to the restriction of display mode, in input picture, the coordinate of pixel is integer type
(i.e. in any point P (x, y), x, y are integer), through preset function f1And f2After this point is mapped, the corresponding point that obtain
Coordinate is often in (i.e. corresponding point P ' (x ', y ') of floating type, and x ', y ' are real number).Again because output image is similarly subjected to show
Show the restriction of mode it is therefore desirable to make corresponding point coordinates into integer type from floating type, and can only be by floating in practical operation
Points coordinate rounds and makes corresponding point coordinates into integer type from floating type, thus, according to so in image processing process
Direct mapping table (being mapped to output image coordinate from input picture coordinate) carry out table lookup operation, can lead on input picture
The problems such as some points that difference maps on identical point, or output image in output image but do not have mapping result, produces
Mapping efficiency is low, and output image has cavity, the phenomenon of output image image quality difference.Therefore, in actual applications, forward direction is reflected
Firing table is rarely employed, and be widely adopted is reverse Mapping table (being mapped to input picture coordinate from output image coordinate),
That is, any pixel P ' in output image (x ', y '), after functional transformation is processed, corresponds to the corresponding picture in input picture
Vegetarian refreshments P (x, y), wherein x=f1 -1(x ', y '), y=f2 -1(x’,y’).Using reverse Mapping table, forward direction can be avoided completely to reflect
Issuable the problems referred to above during firing table use.However, in some application scenarios, the functional relationship of coordinate mapping is very multiple
Miscellaneous it is difficult to from Direct mapping function derive obtain reverse Mapping function.As adopted during projector cylinder curtain distortion of projection
Direct mapping functional form is considerably complicated, is difficult to try to achieve the accurate solution of reverse Mapping function by this Direct mapping function,
Thus impact can be brought on the image quality of final output image.
Content of the invention
In view of this, embodiments provide the acquisition methods of reverse Mapping table and the device for image procossing,
To solve, in existing image processing process, to there is the accurate solution being difficult to try to achieve reverse Mapping function by Direct mapping function
Problem.
A kind of first aspect, there is provided acquisition methods of the reverse Mapping table for image procossing, including：
By traveling through the integer type pixel coordinate P of input picturei(xint,yint) and inquire about Direct mapping table, obtain described
The floating type pixel coordinate P ' of the corresponding output image of input picturei(x’float,y’float), wherein, 0<i<Wsrc*Hsrc, described
Wsrc*HsrcPixel resolution for described input picture；
Travel through the integer type pixel coordinate P of described output imagej(mint,nint), and determine and described Pj(mint,nint) right
The P ' answeringi(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstPixel resolution for described output image；
According to the distance between floating type pixel coordinate in described output image and its corresponding integer type pixel coordinate, right
Described P 'iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is integer；
Based on the N number of described P ' that described distance is minimumiCorresponding described distance, and N number of based on described distance minimum
Described P 'iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
A kind of second aspect, there is provided acquisition device of the reverse Mapping table for image procossing, including：
Acquiring unit, for the integer type pixel coordinate P by traveling through input picturei(xint,yint) and inquire about forward direction and reflect
Firing table, obtains the floating type pixel coordinate P ' of the corresponding output image of described input picturei(x’float,y’float), wherein, 0<i<
Wsrc*Hsrc, described Wsrc*HsrcPixel resolution for described input picture；
Determining unit, for traveling through the integer type pixel coordinate P of described output imagej(mint,nint), and determine with described
Pj(mint,nint) corresponding P 'i(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstFor described output image
Pixel resolution；
Sequencing unit, for according to floating type pixel coordinate in described output image and its corresponding integer type pixel coordinate
The distance between, to described P 'iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is integer；
Set up unit, for the N number of described P ' minimum based on described distanceiCorresponding described distance, and based on described
The minimum N number of described P ' of distanceiCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
In embodiments of the present invention, by the way of numerical simulation, Direct mapping table is synthesized reverse Mapping table, generate
Reverse Mapping table ensure that higher mapping accuracy, so just make cannot suitably mapped direction and accurately reflected
In the case of penetrating relation, remain able to ensure high efficiency and high-quality mapping, be conducive to improving the output of image processing process
Quality.
Brief description
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to embodiment or description of the prior art
In required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Accompanying drawing obtains other accompanying drawings.
Fig. 1 be the acquisition methods of the reverse Mapping table for image procossing provided in an embodiment of the present invention realize flow process
Figure；
Fig. 2 is the experimental example of the acquisition methods of the reverse Mapping table for image procossing provided in an embodiment of the present invention
Figure；
Fig. 3 is the structured flowchart of the acquisition device of the reverse Mapping table for image procossing provided in an embodiment of the present invention.
Specific embodiment
In below describing, in order to illustrate rather than in order to limit it is proposed that the tool of such as particular system structure, technology etc
Body details, thoroughly to understand the embodiment of the present invention.However, it will be clear to one skilled in the art that not having these concrete
The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity
Road and the detailed description of method, in order to avoid unnecessary details hinders description of the invention.
Fig. 1 shows the realization stream of the acquisition methods of the reverse Mapping table for image procossing provided in an embodiment of the present invention
Journey, details are as follows：
In S101, by traveling through the integer type pixel coordinate P of input picturei(xint,yint) and inquire about Direct mapping table,
Obtain the floating type pixel coordinate P ' of the corresponding output image of described input picturei(x’float,y’float), wherein, 0<i<Wsrc*
Hsrc, described Wsrc*HsrcPixel resolution for described input picture.
In S102, travel through the integer type pixel coordinate P of described output imagej(iint,iint), and determine and described Pj
(mint,nint) corresponding P 'i(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstFor described output image
Pixel resolution.
Specifically, by the floating type pixel coordinate P ' to described output imagei(x’float,y’float) carry out rounding behaviour
Make, obtain the floating type pixel coordinate P ' of described output imagei(x’float,y’float) corresponding integer type pixel coordinate, afterwards,
In the integer type pixel coordinate that described floor operation obtains, search the integer type pixel coordinate P with described output imagej
(mint,nint) identical integer type pixel coordinate, and the floating type by corresponding for this integer type pixel coordinate described output image
Pixel coordinate P 'i(x’float,y’float), it is defined as and described Pj(mint,nint) corresponding P 'i(x’float,y’float).
In S103, according to the integer type of floating type pixel coordinate and the corresponding described output image of described output image
The distance between pixel coordinate, to described P 'iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is integer.
Specifically, S103 can execute in the following manner：
According toTo described P 'iIt is ranked up, wherein, institute
Stating Dist is described distance.
In embodiments of the present invention, described N is quality coefficient, typically takes the integer being less than 32 more than 4, and quality coefficient is got over
Greatly, the reverse Mapping table tried to achieve is more accurate, but relatively, computational complexity is also higher, therefore, before execution S103, permissible
The value of N is configured.
In S104, based on the N number of described P ' that described distance is minimumiCorresponding described distance, and it is based on described distance
Minimum N number of described P 'iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
As one embodiment of the present of invention, in the reverse Mapping table of foundation, the integer type pixel of described output image is sat
Mark Pj(mint,nint) corresponding input picture floating type pixel coordinate p 'j(m’float,n’float),
Wherein,
Make the minimum N number of P ' of the Dist getting in S103iFor P '1～P 'N, this N number of P 'iCorresponding Dist is respectively
Dist1～DistN, and this N number of P 'iIn Direct mapping table, the pixel point coordinates of corresponding input picture is respectively P1(xint,1,
yint,1)～PN(xint,N,yint,N), then can determine that the floating type pixel coordinate of corresponding input picture in reverse Mapping table,
For any pixel p in output imagejCoordinate (mint,nint), by this approximate reverse Mapping table, input can be checked in
Corresponding pixel points p in image 'jCoordinate (m 'float,n’float), this coordinate is floating type, needs in actual use using slotting
Value method is shown, this carries out showing using interpolation method is common algorithms in image algorithm, will not be described here.
In embodiments of the present invention, by the way of numerical simulation, Direct mapping table is synthesized reverse Mapping table, generate
Reverse Mapping table ensure that higher mapping accuracy, so just make cannot suitably mapped direction and accurately reflected
In the case of penetrating relation, remain able to ensure high efficiency and high-quality mapping, be conducive to improving the output of image processing process
Quality.
It should be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment
Execution sequence should be determined with its function and internal logic, and should not constitute any limit to the implementation process of the embodiment of the present invention
Fixed.
Exemplarily, when projecting image onto curtain using projector, because the position of projector is not parallel with curtain,
Or curtain has deformation in itself it is therefore desirable to output image is done a certain degree of deformation process, to ensure the imaging of Founder
Effect, therefore, the scheme of the embodiment of the present invention can be used in projector cylinder curtain distortion of projection algorithm.Inversely reflect getting
After firing table, follow-up image procossing all can complete according to this reverse Mapping table.For example, original such as Fig. 2 (a) image to be projected
Shown, Fig. 2 (b) and Fig. 2 (c) are respectively and adopt Direct mapping table and the reverse Mapping using embodiment of the present invention schemes generation
Table carries out the output image after mapping process, compare under, using embodiment of the present invention schemes generation reverse Mapping table figure
As the problems such as overlapping mapping, mapping leak (black lines of such as Fig. 2 (a) both sides) will not be produced in the mapping process of process, simultaneously
Also definition and the image quality of output image are significantly enhanced.
Corresponding to described in foregoing embodiments for image procossing reverse Mapping table acquisition methods, Fig. 3 shows this
The structured flowchart of the acquisition device of the reverse Mapping table for image procossing that inventive embodiments provide, for convenience of description, only
Show part related to the present embodiment.
With reference to Fig. 3, this device includes：
Acquiring unit 31, by traveling through the integer type pixel coordinate P of input picturei(xint,yint) and inquire about Direct mapping
Table, obtains the floating type pixel coordinate P ' of the corresponding output image of described input picturei(x’float,y’float), wherein, 0<i<
Wsrc*Hsrc, described Wsrc*HsrcPixel resolution for described input picture；
Determining unit 32, travels through the integer type pixel coordinate P of described output imagej(mint,nint), and determine and described Pj
(mint,nint) corresponding P 'i(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstFor described output image
Pixel resolution；
Sequencing unit 33, according to the integer of floating type pixel coordinate and the corresponding described output image of described output image
The distance between type pixel coordinate, to described P 'iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is whole
Number；
Set up unit 34, based on the N number of described P ' that described distance is minimumiCorresponding described distance, and based on described away from
From minimum N number of described P 'iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
Alternatively, described device also includes：
The value of described N is set.
Alternatively, described N is more than 4 and is less than 32.
Alternatively,
Described determining unit includes：
Round subelement, for the floating type pixel coordinate P ' to described output imagei(x’float,y’float) rounded
Operation, obtains the floating type pixel coordinate P ' of described output imagei(x’float,y’float) corresponding integer type pixel coordinate；
Determination subelement, in the integer type pixel coordinate that described floor operation obtains, searching and described output figure
The integer type pixel coordinate P of picturej(mint,nint) identical integer type pixel coordinate, and will be corresponding for this integer type pixel coordinate
The floating type pixel coordinate P ' of described output imagei(x’float,y’float), it is defined as and described Pj(mint,nint) corresponding P 'i
(x’float,y’float).
Alternatively, the integer of the described floating type pixel coordinate according to described output image and corresponding described output image
The distance between type pixel coordinate, to described P 'iBe ranked up including：
According toTo described P 'iIt is ranked up.
Alternatively, the described N number of described P ' minimum based on described distanceiCorresponding described distance, and based on described away from
From minimum N number of described P 'iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table and include：
Set up described reverse Mapping table, in described reverse Mapping table, the integer type pixel coordinate P of described output imagej
(mint,nint) corresponding input picture floating type pixel coordinate p 'j(m’float,n’float),
Wherein,
Those skilled in the art can be understood that, for convenience of description and succinctly, only with above-mentioned each work(
Energy unit, the division of module are illustrated, and in practical application, can distribute above-mentioned functions by different as desired
Functional unit, module complete, and the internal structure of described device will be divided into different functional units or module, above to complete
The all or part of function of description.Each functional unit in embodiment, module can be integrated in a processing unit, also may be used
To be that unit is individually physically present it is also possible to two or more units are integrated in a unit, above-mentioned integrated
Unit both can be to be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.In addition, each function list
Unit, the specific name of module, also only to facilitate mutual distinguish, are not limited to the protection domain of the application.Said system
Middle unit, the specific work process of module, may be referred to the corresponding process in preceding method embodiment, will not be described here.
Those of ordinary skill in the art are it is to be appreciated that combine the list of each example of the embodiments described herein description
Unit and algorithm steps, being capable of being implemented in combination in electronic hardware or computer software and electronic hardware.These functions are actually
To be executed with hardware or software mode, the application-specific depending on technical scheme and design constraint.Professional and technical personnel
Each specific application can be used different methods to realize described function, but this realization is it is not considered that exceed
The scope of the present invention.
It should be understood that disclosed apparatus and method in embodiment provided by the present invention, can pass through other
Mode is realized.For example, system embodiment described above is only schematically, for example, the division of described module or unit,
It is only a kind of division of logic function, actual can have other dividing mode when realizing, and for example multiple units or assembly are permissible
In conjunction with or be desirably integrated into another system, or some features can be ignored, or does not execute.Another, shown or discussed
Coupling each other direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING of device or unit or
Communication connects, and can be electrical, mechanical or other forms.
The described unit illustrating as separating component can be or may not be physically separate, show as unit
The part showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.The mesh to realize this embodiment scheme for some or all of unit therein can be selected according to the actual needs
's.
In addition, can be integrated in a processing unit in each functional unit in each embodiment of the present invention it is also possible to
It is that unit is individually physically present it is also possible to two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be to be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If described integrated unit is realized and as independent production marketing or use using in the form of SFU software functional unit
When, can be stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the embodiment of the present invention
The part substantially in other words prior art being contributed or all or part of this technical scheme can be with software products
Form embody, this computer software product is stored in a storage medium, including some instructions with so that one
Computer equipment (can be personal computer, server, or network equipment etc.) or processor (processor) execute this
The all or part of step of each embodiment methods described of bright embodiment.And aforesaid storage medium includes：USB flash disk, portable hard drive,
Read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic
Dish or CD etc. are various can be with the medium of store program codes.
Embodiment described above only in order to technical scheme to be described, is not intended to limit；Although with reference to aforementioned reality
Apply example the present invention has been described in detail, it will be understood by those within the art that：It still can be to aforementioned each
Technical scheme described in embodiment is modified, or carries out equivalent to wherein some technical characteristics；And these modifications
Or replace, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme, all should
It is included within protection scope of the present invention.
Claims (10)
1. a kind of acquisition methods of the reverse Mapping table for image procossing are it is characterised in that include：
By traveling through the integer type pixel coordinate P of input picturei(xint,yint) and inquire about Direct mapping table, obtain described input figure
Floating type pixel coordinate P ' as corresponding output imagei(x’float,y’float), wherein, 0<i<Wsrc*Hsrc, described Wsrc*Hsrc
Pixel resolution for described input picture；
Travel through the integer type pixel coordinate P of described output imagej(mint,nint), and determine and described Pj(mint,nint) corresponding
P’i(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstPixel resolution for described output image；
According to the distance between floating type pixel coordinate in described output image and its corresponding integer type pixel coordinate, to described
P’iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is integer；
Based on the N number of described P ' that described distance is minimumiCorresponding described distance, and N number of described based on described distance minimum
P’iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
2. the method for claim 1 is it is characterised in that obtain the minimum N number of described P ' of described distance describediBefore,
Methods described also includes：
The value of described N is set, and described N is more than 4 and is less than 32.
3. the method for claim 1 is it is characterised in that the integer type pixel coordinate P of the described output image of described traversalj
(mint,nint), and determine and described Pj(mint,nint) corresponding P 'i(x’float,y’float) include：
Floating type pixel coordinate P ' to described output imagei(x’float,y’float) carry out floor operation, obtain described output figure
The floating type pixel coordinate P ' of picturei(x’float,y’float) corresponding integer type pixel coordinate；
In the integer type pixel coordinate that described floor operation obtains, search the integer type pixel coordinate P with described output imagej
(mint,nint) identical integer type pixel coordinate, and the floating type by corresponding for this integer type pixel coordinate described output image
Pixel coordinate P 'i(x’float,y’float), it is defined as and described Pj(mint,nint) corresponding P 'i(x’float,y’float).
4. the method for claim 1 it is characterised in that the described floating type pixel coordinate according to described output image with
The distance between integer type pixel coordinate of corresponding described output image, to described P 'iBe ranked up including：
According toTo described P 'iIt is ranked up.
5. method as claimed in claim 4 is it is characterised in that the described N number of described P ' minimum based on described distanceiCorresponding
Described distance, and based on the minimum N number of described P ' of described distanceiCorresponding N number of P in described Direct mapping tablei, set up inverse
Include to mapping table：
Set up described reverse Mapping table, in described reverse Mapping table, the integer type pixel coordinate P of described output imagej(mint,
nint) corresponding input picture floating type pixel coordinate p 'j(m’float,n’float),
Wherein,
6. a kind of acquisition device of the reverse Mapping table for image procossing is it is characterised in that include：
Acquiring unit, for the integer type pixel coordinate P by traveling through input picturei(xint,yint) and inquire about Direct mapping table,
Obtain the floating type pixel coordinate P ' of the corresponding output image of described input picturei(x’float,y’float), wherein, 0<i<Wsrc*
Hsrc, described Wsrc*HsrcPixel resolution for described input picture；
Determining unit, for traveling through the integer type pixel coordinate P of described output imagej(mint,nint), and determine and described Pj
(mint,nint) corresponding P 'i(x’float,y’float), wherein, 0<j<Wdst*Hdst, described Wdst*HdstFor described output image
Pixel resolution；
Sequencing unit, for according to floating type pixel coordinate in described output image and its between corresponding integer type pixel coordinate
Distance, to described P 'iIt is ranked up, obtain the minimum N number of described P ' of described distancei, described N is integer；
Set up unit, for the N number of described P ' minimum based on described distanceiCorresponding described distance, and based on described distance
Little N number of described P 'iCorresponding N number of P in described Direct mapping tablei, set up reverse Mapping table.
7. device as claimed in claim 6 is it is characterised in that described device also includes：
Arranging unit, for arranging the value of described N, described N is more than 4 and is less than 32.
8. device as claimed in claim 6 is it is characterised in that described determining unit includes：
Round subelement, for the floating type pixel coordinate P ' to described output imagei(x’float,y’float) carry out rounding behaviour
Make, obtain the floating type pixel coordinate P ' of described output imagei(x’float,y’float) corresponding integer type pixel coordinate；
Determination subelement, in the integer type pixel coordinate that described floor operation obtains, searching and described output image
Integer type pixel coordinate Pj(mint,nint) identical integer type pixel coordinate, and will be corresponding described for this integer type pixel coordinate
The floating type pixel coordinate P ' of output imagei(x’float,y’float), it is defined as and described Pj(mint,nint) corresponding P 'i
(x’float,y’float).
9. device as claimed in claim 6 it is characterised in that described sequencing unit specifically for：
According toTo described P 'iIt is ranked up.
10. device as claimed in claim 9 it is characterised in that described set up unit specifically for：
Set up described reverse Mapping table, in described reverse Mapping table, the integer type pixel coordinate P of described output imagej(mint,
nint) corresponding input picture floating type pixel coordinate p 'j(m’float,n’float),
Wherein,
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