CN110070507A - A kind of stingy drawing method of video image, device, storage medium and stingy figure equipment - Google Patents
A kind of stingy drawing method of video image, device, storage medium and stingy figure equipment Download PDFInfo
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Abstract
The present invention discloses stingy drawing method, device, storage medium and the stingy figure equipment of a kind of video image, and wherein method includes the following steps: the color for obtaining target video image；By the color of target video image from the first color space conversion to the second color space, the color transformation result of target video image is obtained；According to color transformation result, the color transformed error value of each pixel of target video image is obtained；Color transformed error value is corrected using error diffusion algorithm；Video image is carried out to the target video image after amendment color transformed error value and scratches figure.The present invention converts existing color transformed error by space using color of the error diffusion algorithm to target video image and handles, target video image collimation error caused by human eye can be effectively reduced, while being also beneficial to the quickly FIG pull handle to target video image.
Description
Technical field
The present invention relates to technical field of video image processing, and in particular to a kind of stingy drawing method of video image, is deposited device
Storage media and stingy figure equipment.
Background technique
The stingy diagram technology of video image refers to before accurately will be interested in still image or continuous video sequence
The process that scape object is separated from background.A kind of crucial skill of the stingy diagram technology of video image as visual effect field
Art is widely used in the fields such as video image editor and film making.
Rgb pixel is mainly transformed into hexagonal vertebral model by the stingy drawing method of the video image in currently available technology
(HSV) in, since the color codomain of different pixels is different, so in the color conversion processes of video image, and it is based on HSV mould
The color transfer algorithm of type is relatively fixed, when lightness V is smaller, or, when color saturation S is smaller, corresponding coloration H's
Component value fluctuation is larger, therefore, during rgb pixel carries out color conversion, it is easy to generate apparent vision difference, one
Error amount accumulation during conversion of denier current pixel point is increasing, and the picture for eventually leading to image generates local microgroove.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of stingy drawing method of video image, it is in the prior art to solve
The stingy drawing method of video image, during rgb pixel carries out color conversion, it is easy to generate apparent vision difference, one
Error amount accumulation during conversion of denier current pixel point is increasing, and the picture for eventually leading to image generates local microgroove
Problem.
According in a first aspect, including the following steps: the embodiment of the invention provides a kind of stingy drawing method of video image
Obtain the color of target video image；
By the color of the target video image from the first color space conversion to the second color space, the target is obtained
The color transformation result of video image；
According to the color transformation result, the color transformed error value of each pixel of the target video image is obtained；
The color transformed error value is corrected using error diffusion algorithm；
Video image is carried out to the target video image after the amendment color transformed error value and scratches figure.
With reference to first aspect, in first aspect first embodiment, first color space is RGB color,
Second color space is hsv color space.
First embodiment with reference to first aspect, it is described by the target video in first aspect second embodiment
The color of image obtains the color conversion of the target video image from the first color space conversion to the second color space
As a result it is obtained by the color transfer algorithm that RGB color is converted to hsv color space.
With reference to first aspect, described to correct the face using error diffusion algorithm in first aspect third embodiment
The step of color transformed error value further include:
Obtain the first adjacent pixel of the target pixel points of the target video image, the second pixel and third pixel
Point, wherein first pixel is located at the first direction of the target pixel points, and second pixel is located at the target
The second direction of pixel, the third pixel are located at the third direction of the target pixel points；
Obtain the color transformed error value of the target pixel points；
Setting for being diffused into the first pixel, second pixel and described for the color transformed error value respectively
Preset ratio rule on third pixel；
The color transformed error value is diffused into first pixel, described second according to the preset ratio rule
The color transformed error value is corrected on pixel and the third pixel.
It is described according to described default in the 4th embodiment of first aspect with reference to first aspect in third embodiment
The color transformed error value is diffused into first pixel, second pixel and the third pixel by ratio rules
The step of correcting the color transformed error value on point further include:
According to the color transformation result, obtain respectively the target pixel points the first color transformed error value, second
Color transformed error value and third color transformed error value；
According to the color transformation result, obtain respectively the target pixel points the first pixel chromaticity conversion value, second
Pixel chromaticity conversion value and third pixel chromaticity conversion value；
According to the preset ratio rule and the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and
The third pixel chromaticity conversion value corrects the first color transformed error value, the second color transformed error value and institute
State third color transformed error value.
With reference to first aspect in the 4th embodiment, in the 5th embodiment of first aspect, according to the preset ratio
The regular and described first pixel chromaticity conversion value, the second pixel chromaticity conversion value and the third pixel chromaticity conversion value,
Correct the step of the first color transformed error value, the second color transformed error value and the third color transformed error value
Suddenly it is corrected by following formula:
HR1=HR+D1*x/(x+y+z)；
HG1=HG+D2*y/(x+y+z)；
HB1=HB+D3*z/(x+y+z)；
Wherein, HR1Conversion value, H are corrected for the first pixel chromaticityG1Conversion value, H are corrected for the second pixel chromaticityB1For third
Pixel chromaticity corrects conversion value, HRFor the first pixel chromaticity conversion value, HGFor the second pixel chromaticity conversion value, HBFor
The third pixel chromaticity conversion value, D1For the first color transformed error value, D2For the second color transformed error value,
D3For the third color transformed error value, x is first be assigned on first pixel in the preset ratio rule
Proportionality coefficient, y are the second proportionality coefficient that second pixel is assigned in the preset ratio rule, and z is described default
The third proportionality coefficient of the third pixel is assigned in rule.
With reference to first aspect in the 5th embodiment, in first aspect sixth embodiment, the setting is for by institute
State the default ratio that color transformed error value is diffused into respectively on the first pixel, second pixel and the third pixel
Convention then the step of further include:
First proportionality coefficient, second proportionality coefficient and the third proportionality coefficient are distributed according to iterative algorithm,
Until the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and the third pixel chromaticity conversion value reach
Dbjective state iteration terminates.
According to second aspect, the embodiment of the invention provides a kind of stingy map devices of video image, comprising:
Color obtains module, for obtaining the color of target video image；
Color conversion module, for by the color of the target video image from the first color space conversion to the second color
Space obtains the color transformation result of the target video image；
Error amount obtains module, for obtaining each pixel of the target video image according to the color transformation result
The color transformed error value of point；
Error correction module, for correcting the color transformed error value using error diffusion algorithm；
Module is scratched, for carrying out video image to the target video image after the amendment color transformed error value
Scratch figure.
According to the third aspect, the stingy figure equipment based on GPU that the embodiment of the invention provides a kind of, including at memory, GPU
The computer program managing device and storage on a memory and can running on the GPU processor, the GPU processor execute institute
The step of the stingy drawing method of frequency image described in any one embodiment of row first aspect or first aspect when stating program
Suddenly.
According to fourth aspect, the embodiment of the invention provides a kind of storage mediums, are stored thereon with computer instruction, this refers to
When enabling described program when being executed by GPU processor described in any one embodiment of row first aspect or first aspect
The step of stingy drawing method of frequency image.
Technical solution of the embodiment of the present invention, has the advantages that
The present invention provides stingy drawing method, device, storage medium and the stingy figure equipment of a kind of video image, and wherein method includes
Following steps: the color of target video image is obtained；By the color of target video image from the first color space conversion to second
Color space obtains the color transformation result of target video image；According to color transformation result, each of target video image is obtained
The color transformed error value of pixel；Color transformed error value is corrected using error diffusion algorithm；To amendment color transformed error
Target video image after value carries out video image and scratches figure.The present invention is using error diffusion algorithm to the color of target video image
It is handled by the existing color transformed error of space conversion, target video image can be effectively reduced caused by human eye
The collimation error, while being also beneficial to the quickly FIG pull handle to target video image.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the first pass figure of the stingy drawing method of video image in the embodiment of the present invention；
Fig. 2 is the second flow chart of the stingy drawing method of video image in the embodiment of the present invention；
Fig. 3 is the schematic diagram of the target pixel points progress error diffusion in the embodiment of the present invention；
Fig. 4 is the 4th flow chart of the stingy drawing method of video image in the embodiment of the present invention；
Fig. 5 is the first structure block diagram of the stingy map device of video image in the embodiment of the present invention；
Fig. 6 is the second structural block diagram of the stingy map device of video image in the embodiment of the present invention；
Fig. 7 is the hardware structural diagram of the stingy figure equipment in the embodiment of the present invention based on GPU.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Embodiment 1
The embodiment of the present invention provides a kind of stingy drawing method of video image, the stingy drawing method of the video image in the present embodiment
It is to be run in GPU processor, processing speed can be significantly improved using GPU processor processing video image, as shown in Figure 1,
Include the following steps:
Step S1: the color of target video image is obtained.Target video image herein is the video image of figure to be scratched,
Color is extracted in the target video image, is convenient for color conversion.
Step S2: by the color of target video image from the first color space conversion to the second color space, target is obtained
The color transformation result of video image.The first color space herein is RGB color, and the second color space is hsv color
Target video image is converted from RGB color to hsv color space and is applied in video image processing also more extensively by space
It is general.
Specifically, the color of target video image is obtained into target from the first color space conversion to the second color space
The color transformation result of video image is obtained by the color transfer algorithm that RGB color is converted to hsv color space.
Color transfer algorithm among the above are as follows:
Max=max (R, G, B)；
Min=min (R, G, B)；
If R=max, H=(G-B)/(max-min)；
If G=max, H=2+ (B-R)/(max-min)；
If B=max, H=4+ (R-G)/(max-min)；
H=H*60 if H < 0, H=H+360；
V=max (R, G, B)；
S=(max-min)/max；
Wherein, R is red pixel, and G is green pixel, and B is blue pixel；H is chroma conversion value, and certain H also represents ash
Information is spent, usual H is angle value, represent the present position of certain pixel chroma conversion value of target video image, red pixel,
The chroma conversion value of green pixel and blue pixel respectively differs 120 degree respectively in HSV space, and V is target video image
Lightness in the color transformed space of HSV, for usual V between the range of 0-1, S is that color of the target video image in HSV turns
The color saturation or excitation purity in space are changed, usual S is between the range of 0-1.
Step S3: according to color transformation result, the color transformed error value of each pixel of target video image is obtained.This
The color transformed error value at place is that each pixel of target video image distinguishes corresponding face during carrying out color conversion
Color transformed error value.Turned according to the above-mentioned color obtained to hsv color space of converting target video image from RGB color
It changes as a result, the color transformed error value of target video image is therefrom obtained, if the color transformed error value is D, color conversion
Error amount includes the first color transformed error value, the second color transformed error value and third color transformed error value, wherein first
Color transformed error value is red pixel transformed error value, and the second color transformed error value is green pixel transformed error value, third face
Color transformed error value is blue pixel transformed error value, by the first color transformed error value D1It indicates, the second color is converted and is missed
Difference D2It indicates, by third color transformed error value D3It indicates.
Step S4: color transformed error value is corrected using error diffusion algorithm.Turned using error diffusion algorithm amendment color
Changing error amount is exactly to shift color transformed error to surrounding space.
In one embodiment, above-mentioned steps S4 is during execution, as shown in Fig. 2, may particularly include following step
It is rapid:
Step S41: the first adjacent pixel of the target pixel points of target video image, the second pixel and third are obtained
Pixel, wherein the first pixel is located at the first direction of target pixel points, and the second pixel is located at the second of target pixel points
Direction, third pixel are located at the third direction of target pixel points.As shown in figure 3, target pixel points are O, with target pixel points
Adjacent pixel be the first pixel be L, the second pixel M and third pixel N, in fig. 3 it can be seen that the first pixel
Point L, the second pixel M and third pixel N are located at the different directions of target pixel points O, and the first pixel L is located at mesh
The first direction of pixel O is marked, the second pixel M is located at the second direction of target pixel points O, and third pixel N is located at target
The third direction of pixel O, exactly, the first pixel on first direction are the pixel on the right of target pixel points, the
The second pixel on two directions is the following pixel of target pixel points, and the third pixel on third direction is object pixel
The pixel on point bottom right side is conducive to target pixel points usually according to the corresponding pixel of these three above-mentioned different directions
Color transformed error diffusion.
Step S42: the color transformed error value of target pixel points is obtained.The color transformed error of target pixel points herein
Value includes the first color transformed error value of target pixel points, if the color transformed error value is D, the color transformed error value packet
The first color transformed error value, the second color transformed error value and third color transformed error value are included, wherein the first color is converted
Error amount is red pixel transformed error value, and the second color transformed error value is green pixel transformed error value, and the conversion of third color misses
Difference is blue pixel transformed error value, by the first color transformed error value D1It indicates, by the second color transformed error value D2Table
Show, by third color transformed error value D3It indicates.
Step S43: it is arranged for color transformed error value to be diffused into the first pixel, the second pixel and third respectively
Preset ratio rule on pixel.
In a preferred embodiment, above-mentioned steps S43 may particularly include during execution:
The first proportionality coefficient of the first pixel, the second proportionality coefficient of the second pixel and the are distributed according to iterative algorithm
The third proportionality coefficient of three pixels, until the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and third pixel color
Degree conversion value, which reaches dbjective state iteration, to be terminated.Such as: the first proportionality coefficient is x, and the second proportionality coefficient is y, third ratio system
Number is z reaches dbjective state, so-called dbjective state is exactly the first picture until x:y:z is iteratively assigned to properly
Plain color degree conversion value reaches the first pixel chromaticity amendment conversion value by amendment, the second pixel chromaticity conversion value reaches by amendment
Second pixel chromaticity amendment conversion value and third pixel chromaticity conversion value, which reach the amendment of third pixel chromaticity by amendment, to be converted
Value, therefore, without apparent vision difference for human eye.First pixel chromaticity conversion value is red pixel chromaticity conversion value,
Use HRIt indicates, the second pixel chromaticity conversion value is green pixel chroma conversion value, uses HGIt indicates, third pixel chromaticity conversion value is indigo plant
Pixel chromaticity conversion value, uses HBIt indicates, the first pixel chromaticity corrects conversion value HR1It indicates, the second pixel chromaticity corrects conversion value
Use HG1It indicates, third pixel chromaticity corrects conversion value HB1It indicates.Such as: for HR1=HR+D1*x/(x+y+z)；Specifically,
Iterative algorithm be continuously attempt to distribution setting the first proportionality coefficient of the first pixel, the second pixel the second proportionality coefficient and
The third proportionality coefficient of third pixel is until HR1Correction effect it is best.
Step S44: according to preset ratio rule by color transformed error value be diffused into the first pixel, the second pixel and
Color transformed error value is corrected on third pixel.
In one embodiment, above-mentioned steps S44 is during execution, as shown in figure 4, may particularly include following step
It is rapid:
Step S441: according to color transformation result, obtain respectively target pixel points the first color transformed error value, second
Color transformed error value and third color transformed error value.Color transformed error value includes the first color conversion of target pixel points
Error amount, if the color transformed error value is D, which includes the first color transformed error value, the second color
Transformed error value and third color transformed error value, wherein the first color transformed error value be red pixel transformed error value, second
Color transformed error value is green pixel transformed error value, and third color transformed error value is blue pixel transformed error value, by first
Color transformed error value D1It indicates, by the second color transformed error value D2It indicates, by third color transformed error value D3Table
Show.
Step S442: according to color transformation result, obtain respectively target pixel points the first pixel chromaticity conversion value, second
Pixel chromaticity conversion value and third pixel chromaticity conversion value.First pixel chromaticity conversion value is red pixel chromaticity conversion value, uses HR
It indicates, the second pixel chromaticity conversion value is green pixel chroma conversion value, uses HGIt indicates, third pixel chromaticity conversion value is blue pixel
Chroma conversion value, uses HBIt indicates.
Step S443: according to preset ratio rule and the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and
Three pixel chromaticity conversion values, the first color transformed error value of amendment, the second color transformed error value and third color transformed error
Value.
In one embodiment, above-mentioned steps S443 can be corrected during execution especially by following formula:
HR1=HR+D1*x/(x+y+z)；
HG1=HG+D2*y/(x+y+z)；
HB1=HB+D3*z/(x+y+z)；
Wherein, HR1Conversion value, H are corrected for the first pixel chromaticityG1Conversion value, H are corrected for the second pixel chromaticityB1For third
Pixel chromaticity corrects conversion value, HRFor the first pixel chromaticity conversion value, HGFor the second pixel chromaticity conversion value, HBFor third pixel
Chroma conversion value, D1For the first color transformed error value, D2For the second color transformed error value, D3For third color transformed error
Value, x are the first proportionality coefficient being assigned on the first pixel in preset ratio rule, and y is to be assigned in preset ratio rule
Second proportionality coefficient of the second pixel, z are the third proportionality coefficient that third pixel is assigned in preset rules.
In one more specifically embodiment, above-mentioned steps S443 during execution, RGB color convert to
On the basis of the color transfer algorithm in hsv color space, error diffusion algorithm is turned in increase with the color for correcting target pixel points
Change error.Specific formula is as follows:
Max=max (R, G, B)；
Min=min (R, G, B)；
If R=max, HR=(G-B)/(max-min)；
If G=max, HG=2+ (B-R)/(max-min)；
If B=max, HB=4+ (R-G)/(max-min)；
H(R、G、B)=* 60 if < 0, H(R、G、B)=H(R、G、B)+360；V=max (R, G, B)；
S=(max-min)/max；
HR1=HR+D1*x/(x+y+z)；(R=max)
HG1=HG+D2*y/(x+y+z)；(G=max)
HB1=HB+D3*z/(x+y+z)；(B=max)
Wherein R is red pixel, and G is green pixel, and B is blue pixel；H is chroma conversion value, and certain H also represents gray scale
Information, usual H are angle values, represent the present position of certain pixel chroma conversion value of target video image, V is target video
Lightness of the image in the color transformed space of HSV, for usual V between the range of 0-1, S is face of the target video image in HSV
Color saturation or excitation purity in color transformed space, usual S is between the range of 0-1, HR1It corrects and converts for the first pixel chromaticity
Value, HG1Conversion value, H are corrected for the second pixel chromaticityB1Conversion value, H are corrected for third pixel chromaticityRFor the conversion of the first pixel chromaticity
Value, HGFor the second pixel chromaticity conversion value,
HBFor third pixel chromaticity conversion value, D1For the first color transformed error value, D2For the second color transformed error value,
D3For third color transformed error value, x is the first proportionality coefficient being assigned on the first pixel in preset ratio rule, and y is
The second proportionality coefficient of the second pixel is assigned in preset ratio rule, z is to be assigned to third pixel in preset rules
Third proportionality coefficient.
It is improved on the basis of color transformed error algorithm, that is, increases upper error diffusion algorithm modifying factor in RGB color
Space is converted to color transformed error existing for hsv color space, that is, reduces the existing loss of color transformed error, Ke Yixian
Write the visual effect for improving target video image.
Step S5: video image is carried out to the target video image after amendment color transformed error value and scratches figure.
The process for executing above-mentioned steps S1- step S4, carries out color transformed error processing to entire target video image,
Color transformed error processing is carried out to all pixels point of target video image, specifically, by GPU processor, in conjunction with
Error diffusion algorithm is scanned all pixels of target video image line by line, completes the institute of all target video images
There is the color transformed error of pixel to handle, avoid people to the collimation error of target video image, and then can be quickly complete
At the stingy figure of target video image.
The stingy drawing method of video image in the embodiment of the present invention, using error diffusion algorithm to the face of target video image
Color is handled by the existing color transformed error of space conversion, and target video image can be effectively reduced and cause to human eye
The collimation error, while being also beneficial to the quickly FIG pull handle to target video image.
Embodiment 2
The embodiment of the present invention provides a kind of stingy map device of video image, as shown in Figure 5, comprising:
Color obtains module 51, for obtaining the color of target video image.
Color conversion module 52, for the color of target video image is empty from the first color space conversion to the second color
Between, obtain the color transformation result of target video image.
Error amount obtains module 53, for obtaining the face of each pixel of target video image according to color transformation result
Color transformed error value.
Error correction module 54, for correcting color transformed error value using error diffusion algorithm.
Module 55 is scratched, scratches figure for carrying out video image to the target video image after amendment color transformed error value.
The stingy map device of video image in the embodiment of the present invention, the first color space in color conversion module 52 are
RGB color, the second color space are hsv color space.
The stingy map device of video image in the embodiment of the present invention, by the face of target video image in color conversion module 52
For color from the first color space conversion to the second color space, the color transformation result for obtaining target video image passes through RGB color
The color transfer algorithm that space is converted to hsv color space obtains.
The stingy map device of video image in the embodiment of the present invention, in Fig. 5, error correction module 54 further include:
First acquisition submodule 541, the first adjacent pixel of target pixel points for obtaining target video image,
Two pixels and third pixel, wherein the first pixel is located at the first direction of target pixel points, and the second pixel is located at mesh
The second direction of pixel is marked, third pixel is located at the third direction of target pixel points；
Second acquisition submodule 542, for obtaining the color transformed error value of target pixel points；
Submodule 543 is set, for being arranged for color transformed error value to be diffused into the first pixel, the second picture respectively
Preset ratio rule on vegetarian refreshments and third pixel；
Submodule 544 is corrected, for color transformed error value to be diffused into the first pixel, the according to preset ratio rule
Color transformed error value is corrected on two pixels and third pixel.
The stingy map device of video image in the embodiment of the present invention corrects submodule 544, as shown in Figure 6, further includes:
First acquisition unit 5441, the first color for according to color transformation result, obtaining target pixel points respectively turn
Change error amount, the second color transformed error value and third color transformed error value；
Second acquisition unit 5442, for obtaining the first pixel color of target pixel points respectively according to color transformation result
Spend conversion value, the second pixel chromaticity conversion value and third pixel chromaticity conversion value；
Amending unit 5443, for being turned according to preset ratio rule and the first pixel chromaticity conversion value, the second pixel chromaticity
Change value and third pixel chromaticity conversion value, the first color transformed error value of amendment, the second color transformed error value and third color
Transformed error value.
The stingy map device of video image in the embodiment of the present invention, amending unit 5443 are corrected by following formula:
HR1=HR+D1*x/(x+y+z)；
HG1=HG+D2*y/(x+y+z)；
HB1=HB+D3*z/(x+y+z)；
Wherein, HR1Conversion value, H are corrected for the first pixel chromaticityG1Conversion value, H are corrected for the second pixel chromaticityB1For third
Pixel chromaticity corrects conversion value, HRFor the first pixel chromaticity conversion value, HGFor the second pixel chromaticity conversion value, HBFor third pixel
Chroma conversion value, D1For the first color transformed error value, D2For the second color transformed error value, D3For third color transformed error
Value, x are the first proportionality coefficient being assigned on the first pixel in preset ratio rule, and y is to be assigned in preset ratio rule
Second proportionality coefficient of the second pixel, z are the third proportionality coefficient that third pixel is assigned in preset rules.
Submodule 543 is arranged in the stingy map device of video image in the embodiment of the present invention, further includes:
Iteration unit, for distributing the first proportionality coefficient, the second proportionality coefficient and third proportionality coefficient according to iterative algorithm,
Until the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and third pixel chromaticity conversion value reach dbjective state iteration
Terminate.
The stingy map device of video image in the embodiment of the present invention, using error diffusion algorithm to the face of target video image
Color is handled by the existing color transformed error of space conversion, and target video image can be effectively reduced and cause to human eye
The collimation error, while being also beneficial to the quickly FIG pull handle to target video image.
Embodiment 3
The embodiment of the present invention provides a kind of stingy figure equipment based on GPU, is somebody's turn to do the stingy figure equipment based on GPU, as shown in fig. 7,
Including memory 720, GPU processor 710 and it is stored in the computer that can be run on memory 720 and on GPU processor 710
It the step of program, GPU processor 710 realizes method in embodiment 1 when executing program, can be quickly to reality using GPU processor
It applies error diffusion algorithm in example 1 and carries out comprehensive operation, concurrent operation can be carried out using GPU processor, multithreading carries out, each
Thread can handle a pixel, and target video image has how many a pixels, GPU processor can with distribution how much
A thread, therefore, GPU processor can significantly improve the processing speed of target video image.
Fig. 7 is that a kind of stingy figure based on GPU of the processing method of execution list items operation provided in an embodiment of the present invention is set
Standby hardware structural diagram includes one or more processors 710 and deposits as shown in fig. 7, being somebody's turn to do the stingy figure equipment based on GPU
Reservoir 720, in Fig. 7 by taking a processor 710 as an example.
It can also include: input unit 730 and defeated for executing the stingy figure equipment based on GPU of the processing method of list items operation
Device 740 out.
Processor 710, memory 720, input unit 730 and output device 740 can pass through bus or other modes
It connects, in Fig. 7 for being connected by bus.
Processor 710 can be central processing unit (Central Processing Unit, CPU).Processor 710 may be used also
Think other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
The combination of the chips such as discrete hardware components or above-mentioned all kinds of chips.
Embodiment 4
The embodiment of the present invention provides a kind of storage medium, is stored thereon with computer instruction, which is held by GPU processor
The step of method in embodiment 1 is realized when row.Color, the color conversion of target video image are also stored on the storage medium
As a result, color transformed error value etc..Wherein, storage medium can be magnetic disk, CD, read-only memory (Read-Only
Memory, ROM), random access memory (RandomAccessMemory, RAM), flash memory (Flash Memory),
Hard disk (Hard Disk Drive, abbreviation: HDD) or solid state hard disk (Solid-State Drive, SSD) etc.；The storage is situated between
Matter can also include the combination of the memory of mentioned kind.
It is that can lead to it will be understood by those skilled in the art that realizing all or part of the process in above-described embodiment method
Computer program is crossed to instruct relevant hardware and complete, program can be stored in a computer-readable storage medium, the journey
Sequence is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium can for magnetic disk, CD, read-only deposit
Store up memory body (ROM) or random access memory (RAM) etc..
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And it is extended from this it is obvious variation or
It changes still within the protection scope of the invention.
Claims (10)
1. a kind of stingy drawing method of video image, which comprises the steps of:
Obtain the color of target video image；
By the color of the target video image from the first color space conversion to the second color space, the target video is obtained
The color transformation result of image；
According to the color transformation result, the color transformed error value of each pixel of the target video image is obtained；
The color transformed error value is corrected using error diffusion algorithm；
Video image is carried out to the target video image after the amendment color transformed error value and scratches figure.
2. the stingy drawing method of video image according to claim 1, which is characterized in that first color space is RGB
Color space, second color space are hsv color space.
3. the stingy drawing method of video image according to claim 2, which is characterized in that described by the target video image
Color from the first color space conversion to the second color space, obtain the color transformation result of the target video image
It is obtained by the color transfer algorithm that RGB color is converted to hsv color space.
4. the stingy drawing method of video image according to claim 1, which is characterized in that described to be repaired using error diffusion algorithm
Just the color transformed error value the step of further include:
The first adjacent pixel of the target pixel points of the target video image, the second pixel and third pixel are obtained,
Wherein, first pixel is located at the first direction of the target pixel points, and second pixel is located at the target picture
The second direction of vegetarian refreshments, the third pixel are located at the third direction of the target pixel points；
Obtain the color transformed error value of the target pixel points；
It is arranged for the color transformed error value to be diffused into the first pixel, second pixel and the third respectively
Preset ratio rule on pixel；
The color transformed error value is diffused into first pixel, second pixel according to the preset ratio rule
The color transformed error value is corrected on point and the third pixel.
5. the stingy drawing method of video image according to claim 4, which is characterized in that described to be advised according to the preset ratio
Then the color transformed error value is diffused on first pixel, second pixel and the third pixel and is repaired
Just the color transformed error value the step of further include:
According to the color transformation result, the first color transformed error value, the second color of the target pixel points are obtained respectively
Transformed error value and third color transformed error value；
According to the color transformation result, the first pixel chromaticity conversion value, the second pixel of the target pixel points are obtained respectively
Chroma conversion value and third pixel chromaticity conversion value；
According to the preset ratio rule and the first pixel chromaticity conversion value, the second pixel chromaticity conversion value and described
Third pixel chromaticity conversion value corrects the first color transformed error value, the second color transformed error value and described the
Three color transformed error values.
6. the stingy drawing method of video image according to claim 5, which is characterized in that according to the preset ratio rule and
The first pixel chromaticity conversion value, the second pixel chromaticity conversion value and the third pixel chromaticity conversion value correct institute
The step of stating the first color transformed error value, the second color transformed error value and the third color transformed error value passes through
Following formula amendment:
HR1=HR+D1*x/(x+y+z)；
HG1=HG+D2*y/(x+y+z)；
HB1=HB+D3*z/(x+y+z)；
Wherein, HR1Conversion value, H are corrected for the first pixel chromaticityG1Conversion value, H are corrected for the second pixel chromaticityB1For third pixel
Color correction conversion value, HRFor the first pixel chromaticity conversion value, HGFor the second pixel chromaticity conversion value, HBIt is described
Third pixel chromaticity conversion value, D1For the first color transformed error value, D2For the second color transformed error value, D3For
The third color transformed error value, x are the first ratio being assigned on first pixel in the preset ratio rule
Coefficient, y are the second proportionality coefficient that second pixel is assigned in the preset ratio rule, and z is the preset rules
In be assigned to the third proportionality coefficient of the third pixel.
7. the stingy drawing method of video image according to claim 6, which is characterized in that the setting is for by the color
Transformed error value is diffused into the rule of the preset ratio on the first pixel, second pixel and the third pixel respectively
The step of further include:
First proportionality coefficient, second proportionality coefficient and the third proportionality coefficient are distributed according to iterative algorithm, until
The first pixel chromaticity conversion value, the second pixel chromaticity conversion value and the third pixel chromaticity conversion value reach target
State iteration terminates.
8. a kind of stingy map device of video image characterized by comprising
Color obtains module, for obtaining the color of target video image；
Color conversion module, for the color of the target video image is empty from the first color space conversion to the second color
Between, obtain the color transformation result of the target video image；
Error amount obtains module, for obtaining each pixel of the target video image according to the color transformation result
Color transformed error value；
Error correction module, for correcting the color transformed error value using error diffusion algorithm；
Module is scratched, is scratched for carrying out video image to the target video image after the amendment color transformed error value
Figure.
9. a kind of stingy figure equipment based on GPU, including memory, GPU processor and storage are on a memory and can be in the GPU
The computer program run on processor, which is characterized in that the GPU processor realizes claim 1- when executing described program
The step of stingy drawing method of 7 described in any item frequency images.
10. a kind of storage medium, is stored thereon with computer instruction, which is characterized in that real when the instruction is executed by GPU processor
The step of stingy drawing method of the existing described in any item video images of claim 1-7.
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