CN107071234A - A kind of camera lens shadow correction method and device - Google Patents
A kind of camera lens shadow correction method and device Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/61—Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
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Abstract
The embodiment of the invention discloses a kind of camera lens shadow correction method and device, wherein method includes：Shot by camera in the case of setting light source and obtain white field picture, extract the pixel grey scale data of the white field picture；The pixel of maximum gradation data is determined according to pixel grey scale data；According to the pixel grey scale data of each pixel and the maximum gradation data, determine the correction coefficient of each pixel, the correction coefficient is subjected to corresponding record with the setting light source situation, wherein, the correction coefficient is used to be corrected when the camera is in shooting image in the case of setting light source.The embodiment of the present invention is solved can not realize adaptive carry out image rectification under the various unit states of camera lens the problem of accurate progress image rectification in the case of the non-device level of camera lens in the prior art.
Description
Technical field
The present embodiments relate to digital imagery calibration technique, more particularly to a kind of camera lens shadow correction method and device.
Background technology
At present, imaging sensor is widely used in every field, for example robot, machine vision, unmanned plane or
In VR (Virtual Reality, virtual reality) various products, and many imaging sensors are integrated with figure on chip circuit
As modules such as processing.
CMOS (Complementary Metal Oxide Semiconductor, complementary metal oxide semiconductor) is
A kind of conventional civilian imaging sensor, cardinal principle is to receive light formation pel array.Camera lens shade is that influence is high-quality
One of key factor of image, camera lens shade is due to the combined effect of lens and imaging sensor parameter, and the lens of generation are gradually
Dizzy and pixel vignetting, it combines the amplitude that can produce plane length or low-frequency change etc., cause light-inletting quantity by
Limitation, while the phenomenon outwards gradually reduced from picture centre can be presented in entering light, the associated shadow of generation can influence the bat of picture
Quality is taken the photograph, the degree of the correction of camera lens shade can equally be impacted to successive image processing.
Current camera lens shadow correction is bright present intensity distance and minimax generally by radius shadow correction method
Degree distance rates do a coefficient formula and carry out shadow correction.But, the above method is only applicable to lens assembly level, and light source shines
The situation of the exit point heart in the picture, it is impossible to carry out accurate shadow correction in the case of the non-device level of camera lens.
The content of the invention
The present invention provides kind of a camera lens shadow correction method and device, to realize the adaptive reality in different lens assembly states
Existing camera lens shadow correction.
In a first aspect, the embodiments of the invention provide a kind of camera lens shadow correction method, this method includes：
Shot by camera in the case of setting light source and obtain white field picture, extract the pixel grey scale of the white field picture
Data；
The pixel of maximum gradation data is determined according to pixel grey scale data；
According to the pixel grey scale data of each pixel and the maximum gradation data, the correction coefficient of each pixel is determined,
The correction coefficient is subjected to corresponding record wherein with the setting light source situation, the correction coefficient is used in the camera
It is corrected in shooting image in the case of setting light source.
Further, before the pixel that maximum gradation data is determined according to pixel grey scale data, methods described also includes：
The pixel grey scale data are smoothed.
Further, the pixel grey scale data are smoothed, including：
Current pixel point is determined one by one from each pixel；
According to the neighborhood adaptation value of current pixel point pixel grey scale data, by the neighborhood adaptation value and default computing
The factor carries out multiplication summation, determines the smooth pixel gray scale of current pixel point；
The pixel grey scale data of current pixel point are determined according to the smooth pixel gray scale.
Further, before being smoothed to the pixel grey scale data, methods described also includes：
The pixel grey scale data are converted into Bayer formatted data；
Determine current pixel point one by one from each pixel, and current pixel point associated pixel point；
The pixel grey scale data of current pixel point and the Bayer formatted data of associated pixel point are merged, as current
The pixel grey scale data of pixel, and delete the associated pixel point.
Further, determine current pixel point one by one from each pixel, and current pixel point associated pixel point bag
Include：
Current pixel point is determined one by one from each pixel, and by current pixel point, adjacent and interval is set on direction initialization
The pixel of quantity is used as associated pixel point.
Further, according to the pixel grey scale data of each pixel and the maximum gradation data, each pixel is determined
Correction coefficient, including：
It is determined that the ratio between maximum gradation data and the pixel grey scale data of each pixel, is determined each according to the ratio
The correction coefficient of pixel.
Further, the pixel grey scale data of each pixel include red channel pixel grey scale data, green channel
Each passage pixel grey scale data are respectively processed by pixel grey scale data and blue channel pixel grey scale data.
Further, it is determined that ratio between maximum gradation data and the pixel grey scale data of each pixel, by the ratio
Value is defined as the correction coefficient of each pixel, including：
According to the maximum gradation data of green channel, the maximum gradation data of green channel and each pixel of green channel are determined
Pixel grey scale data between the first ratio, first ratio and 1 difference are defined as to the school of green channel pixel
Positive coefficient；
According to the maximum gradation data of red or blue channel, it is determined that the maximum gradation data of red or blue channel and red
Or the second ratio between the pixel grey scale data of each pixel of blue channel, by described the first of the second ratio and correspondence position
The 3rd ratio between ratio, is used as the correction coefficient of red or each pixel of blue channel.
Further, before the pixel that maximum gradation data is determined according to pixel grey scale data, methods described also includes：
The quantity of the bit levels of the pixel grey scale data is extended increase.
Further, shot by camera in the case of setting light source and obtain white field picture, including：
By being set to the camera of fixed gain, in the light that there is different angles or varying number or variety classes light source
Shot respectively in and obtain white field picture, it is the setting light to record the different angles or varying number or variety classes light source
Source situation.
Second aspect, the embodiment of the present invention additionally provides a kind of camera lens shadow correction device, and the device includes：
Image data acquisition module, obtains white field picture for being shot by camera in the case of setting light source, extracts
The pixel grey scale data of the white field picture；
First pixel determining module, the pixel for determining maximum gradation data according to pixel grey scale data；
Correction coefficient determining module, for the pixel grey scale data according to each pixel and the maximum gradation data, really
The correction coefficient of fixed each pixel, corresponding record is carried out by the correction coefficient with the setting light source situation, wherein, the school
Positive coefficient is used to be corrected when the camera is in shooting image in the case of setting light source.
Further, described device also includes：
Data smoothing module, for before the pixel of maximum gradation data is determined according to pixel grey scale data, to institute
Pixel grey scale data are stated to be smoothed.
Further, the data smoothing module includes：
Current pixel point determining unit, for determining current pixel point one by one from each pixel；
Smooth pixel gray scale determining unit, will for the neighborhood adaptation value according to current pixel point pixel grey scale data
The neighborhood adaptation value carries out the summation that is multiplied with default operational factor, determines the smooth pixel gray scale of current pixel point；
Pixel grey scale data determination unit, the pixel grey scale for determining current pixel point according to the smooth pixel gray scale
Data.
Further, described device also includes：
Data format conversion module, for before being smoothed to the pixel grey scale data, by the pixel
Gradation data is converted to Bayer formatted data；
Second pixel determining module, for determining current pixel point, and current pixel point one by one from each pixel
Associated pixel point；
Pixel grey scale data combiners block, for by the pixel of current pixel point and the Bayer formatted data of associated pixel point
Gradation data is merged, as the pixel grey scale data of current pixel point, and deletes the associated pixel point.
Further, the second pixel determining module specifically for：
Current pixel point is determined one by one from each pixel, and by current pixel point, adjacent and interval is set on direction initialization
The pixel of quantity is used as associated pixel point.
Further, the correction coefficient determining module specifically for：
It is determined that the ratio between maximum gradation data and the pixel grey scale data of each pixel, is determined each according to the ratio
The correction coefficient of pixel.
Further, the pixel grey scale data of each pixel include red channel pixel grey scale data, green channel
Each passage pixel grey scale data are respectively processed by pixel grey scale data and blue channel pixel grey scale data.
Further, the correction coefficient determining module includes：
First correction coefficient determining unit, for the maximum gradation data according to green channel, determines that green channel is maximum
The first ratio between the pixel grey scale data of gradation data and each pixel of green channel, by first ratio and 1 difference
Value is defined as the correction coefficient of green channel pixel；
Second correction coefficient determining unit, for the maximum gradation data according to red or blue channel, it is determined that it is red or
The second ratio between blue channel maximum gradation data and the pixel grey scale data of red or each pixel of blue channel, by the
The 3rd ratio between two ratios and first ratio of correspondence position, is used as the correction of red or each pixel of blue channel
Coefficient.
Further, described device also includes：
, will be described before bit levels expansion module, the pixel that maximum gradation data is determined according to pixel grey scale data
The quantity of the bit levels of pixel grey scale data is extended increase.
Further, described image data acquisition module specifically for：
By being set to the camera of fixed gain, in the light that there is different angles or varying number or variety classes light source
Shot respectively in and obtain white field picture, it is the setting light to record the different angles or varying number or variety classes light source
Source situation.
The embodiment of the present invention is by extracting the pixel grey scale data of white field picture, it is determined that the pixel of maximum gradation data,
According to the pixel grey scale data of each pixel and maximum gradation data, the correction coefficient of each pixel is determined, i.e., by with maximum
The pixel of gradation data is reference point, it is determined that between the maximum pixel of gradation data and the pixel grey scale data of each pixel
Relation determine correction coefficient, image is corrected, it is in the prior art reference point to image using central pixel point that instead of
Situation about being corrected, solve accurately can not carry out image rectification in the case of the non-device level of camera lens in the prior art
Problem, realizes adaptive carry out image rectification under the various unit states of camera lens.
Brief description of the drawings
Fig. 1 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention one is provided；
Fig. 2 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention two is provided；
Fig. 3 A are the flow charts for the camera lens shadow correction method that the embodiment of the present invention three is provided；
Fig. 3 B are the Bayer formatted data schematic diagrames that the embodiment of the present invention is applicable；
Fig. 3 C are the red channel current pixel point and the schematic diagram of associated pixel point that the embodiment of the present invention is applicable；
Fig. 3 D are the blue channel current pixel point and the schematic diagram of associated pixel point that the embodiment of the present invention is applicable；
Fig. 3 E are the current pixel point of green channel odd-numbered line and showing for associated pixel point that the embodiment of the present invention is applicable
It is intended to；
Fig. 3 F are the current pixel point of green channel even number line and showing for associated pixel point that the embodiment of the present invention is applicable
It is intended to；
Fig. 4 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention four is provided；
Fig. 5 is the structural representation for the camera lens shadow correction device that the embodiment of the present invention five is provided.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part related to the present invention rather than entire infrastructure are illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention one is provided, and the present embodiment is applicable to
The adaptive situation for realizing camera lens shadow correction of different lens assembly states, this method can be by provided in an embodiment of the present invention
Camera lens shadow correction device is performed, and the device can be realized by the way of software and/or hardware.This method is specifically included：
S110, shot by camera in the case of setting light source and obtain white field picture, extract the pixel ash of white field picture
Degrees of data.
Wherein, white field picture refers to that picture material or image background are the image of white, exemplary, white field picture
Can be the picture for blank sheet of paper or frosted glass shoot acquisition by camera, specifically, passing through in closed darkroom
Light source irradiation is set, obtains and stores white field picture, the pixel grey scale data of white field picture are extracted.
It is preferred that, the white field picture of acquisition is shot in the case of setting light source by camera in step S110 and be can also be：
By being set to the camera of fixed gain, in the light that there is different angles or varying number or variety classes light source
Shot respectively in and obtain white field picture, it is the setting light source feelings to record different angles or varying number or variety classes light source
Condition.
Wherein, camera is set into gain when shooting the white field picture of different light sources to immobilize, be easy to identical
Under the conditions of different pictures are handled, specifically, the gain of camera is according to history camera lens shadow correction coefficient processing result
It is determined that.
In the present embodiment, because camera lens material itself determines that the light transmittance of camera lens diverse location is different, specifically, in camera lens
The light transmittance of the heart is higher, and the light transmittance of lens edge is relatively low, when light is incident and when forming image by camera lens, can cause image
Central pixel point gray value is larger, and the pixel gray value of lens edge is smaller, forms camera lens shade.Angle, number when light source
When amount and different species, the light transmittance of camera lens is different, and the image of acquisition is different, and corresponding image shadow correction coefficient is different,
Exemplary, light-source angle can be that Vertical camera lenses are incident or light source has certain angle with camera lens, and quantity of light source can be
One or more, light source species can be D65 light sources or D50 light sources etc..
In the present embodiment, white field picture is obtained under different angles or varying number or variety classes light source respectively, and it is right
White field picture carries out light-source angle, value volume and range of product and is marked, and is easy to recognize the white field picture under different set light source.
It is preferred that, the pixel grey scale data of each pixel include red channel pixel grey scale data, green channel pixel ash
Each passage pixel grey scale data are respectively processed by degrees of data and blue channel pixel grey scale data.
Wherein, the pixel grey scale data of each pixel are grey by the pixel of red channel, green channel and blue channel
Degrees of data superposition is obtained, and the pixel grey scale data of triple channel can be read in each pixel.
In the present embodiment, the pixel grey scale data for extracting white field picture refer to extracting the red channel pixel of white field picture
Gradation data, green channel pixel grey scale data and blue channel pixel grey scale data.
S120, the pixel according to the maximum gradation data of pixel grey scale data determination.
In the present embodiment, by extracting the pixel grey scale data of triple channel, each passage pixel grey scale data are determined respectively
The corresponding pixel of middle maximum gradation data.Exemplary, when white field picture saves as 24 very coloured silk bmp (Bitmap, image text
Part form) image when, the pixel grey scale data of the triple channel of each pixel can be 0~255, according to the pixel of triple channel ash
Degrees of data determines the maximum gradation data of each passage pixel grey scale data, exemplary, triple channel maximum gradation data
To be 255.
S130, the pixel grey scale data according to each pixel and maximum gradation data, determine the correction coefficient of each pixel,
The correction coefficient is subjected to corresponding record with the setting light source situation, wherein, correction coefficient is used in camera in setting
It is corrected in the case of light source during shooting image.
In the present embodiment, by the pixel correspondence camera lens maximum transmission degree position of the maximum gradation data of image, by image
Maximum gradation data pixel as image rectification reference point.When lens assembly level, picture centre pixel is
The pixel of maximum gradation data in image, when the non-device level of camera lens, picture centre pixel is not maximum ash in image
The pixel of degrees of data.
In the present embodiment, using the pixel of maximum gradation data as image rectification reference point, determine the pixel with
Relation between the pixel grey scale data of all pixels point, correction system is determined according to the relation between the pixel grey scale data
Number, is corrected during to camera shooting image.Exemplary, correction coefficient can be by maximum gradation data and all pictures
Ratio relation between the pixel grey scale data of vegetarian refreshments is determined.
It should be noted that in the present embodiment, it is white to what is obtained under different angles or varying number or variety classes light source
Field picture determines correction coefficient respectively, and correction coefficient and the setting situation of light source are carried out into corresponding record and storage, works as shooting
Head can recognize that angle, quantity and the species of light source when carrying out image taking, call corresponding correction coefficient to carry out image
Correction, solves the problem of can only carrying out shadow correction to the image under a kind of light source in the prior art, realizes adaptive appoint
Image rectification under the light source of what angle, quantity and species.
The technical scheme of the present embodiment, by extracting the pixel grey scale data of white field picture, it is determined that maximum gradation data
Pixel, according to the pixel grey scale data of each pixel and maximum gradation data, determines the correction coefficient of each pixel, that is, passes through
Using the pixel of maximum gradation data as reference point, it is determined that the pixel grey scale number of the pixel and each pixel of maximum gradation data
Relation between determines correction coefficient, and image is corrected, and instead of in the prior art using central pixel point as reference point
Situation about being corrected to image, solve accurately can not carry out image in the case of the non-device level of camera lens in the prior art
The problem of correction, realize adaptive carry out image rectification under the various unit states of camera lens.
On the basis of above-mentioned technical proposal, before step S120, it can also include：
The quantity of the bit levels of pixel grey scale data is extended increase.
Exemplary, when white field picture is saved as into 24 very coloured silk bmp images, the red channel pixel ash of white field picture
The bit levels of degrees of data, green channel pixel grey scale data and blue channel pixel grey scale data are 8bit, each passage
Pixel grey scale can be 0~255.The quantity of the bit levels of pixel grey scale data is extended increase for example can be will be white
The bit levels of field picture pixel grey scale data extend to 10bit by 8bit.Exemplary, can be in the following manner to picture
The bit levels of plain gradation data are extended：R=(R<<(nSensorBit-8))|((1<<(nSensorBit-8)) -1),
Wherein, R is the red channel pixel grey scale data of each pixel, and nSensorBit is bit levels to be converted, exemplary
, nSensorBit can be 10.
In the present embodiment, the quantity to the bit levels of pixel grey scale data is extended increase, improves pixel grey scale
Data precision, improves the computational accuracy of correction coefficient.
Embodiment two
Fig. 2 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention two is provided, on the basis of above-described embodiment
On, before the pixel of maximum gradation data is determined according to pixel grey scale data, further add to pixel grey scale number
According to being smoothed, accordingly, this method can specifically include：
S210, shot by camera in the case of setting light source and obtain white field picture, extract the pixel ash of white field picture
Degrees of data.
S220, pixel grey scale data are smoothed.
Wherein, noise can be inevitably produced during pixel grey scale data are extracted, by pixel grey scale number
It is exemplary according to the effect for being smoothed achievable noise reduction, pixel grey scale data can be put down by smoothing filter
Sliding processing.
It is preferred that, step S220 can also be：
Current pixel point is determined one by one from each pixel；
According to the neighborhood adaptation value of current pixel point pixel grey scale data, by neighborhood adaptation value and default operational factor
Multiplication summation is carried out, the smooth pixel gray scale of current pixel point is determined；
The pixel grey scale data of current pixel point are determined according to smooth pixel gray scale.
Use Rij、GijAnd BijRepresent that red channel pixel grey scale data, green channel pixel grey scale data and blueness are logical respectively
Road pixel grey scale data, wherein, i is the line number of white field picture pixel, and j is the columns of white field picture pixel, and i is with j
Positive integer more than or equal to 1.
In the present embodiment, current pixel neighborhood of a point adaptation value is determined according to preset rules.Exemplary, it is determined that currently
Pixel is R11, preset rules can be the pixel grey scale for selecting the current pixel point same column pixel of adjacent predetermined number successively
Data, such as predetermined number can be 7, specifically, R11Same column adjacent pixel is R successively21、R31、R41、R51、R61、R71
And R81, by above-mentioned 8 pixel grey scale data with R11Centered on carry out symmetry operation, form 15 matrixes for multiplying 1, be defined as current
Pixel neighborhood of a point adaptation value：[R81 R71 R61 R51 R41 R31 R21 R11 R21 R31 R41 R51 R61 R71 R81].Need
Illustrate, if the same column of the current pixel point not enough predetermined number of neighbor pixel successively, is carried out with last pixel
Repeat to supplement, exemplary, to the pixel of image first row last column, such as pixel can be R91, then R91Neighbour
Domain adaptation value is：[R91 R91 R91 R91 R91 R91 R91 R91 R91 R91 R91 R91 R91 R91 R91]。
Default operational factor is all elements and the matrix for 1, and exemplary, default operational factor can 3 multiply 5
Matrix M, it is preferred that default operational factor central element is minimum, and peripheral elements gradually increase.Current pixel neighborhood of a point is adaptive
All elements in should being worth carry out the summation that is multiplied with default operational factor M respectively：N=2R81M+2R71M+…+2R21M+R11M, will
All elements and smooth pixel gray scale of the value as current pixel point in matrix N.Respectively to the triple channel pixel of current pixel point
Gradation data is smoothed respectively, determines the pixel grey scale data of current pixel point.
S230, the pixel according to the maximum gradation data of pixel grey scale data determination.
In the present embodiment, handled according to the triple channel pixel grey scale data after smooth, it is determined that the maximum ash after smooth
The pixel of degrees of data.
S240, the pixel grey scale data according to each pixel and maximum gradation data, determine the correction coefficient of each pixel,
The correction coefficient is subjected to corresponding record with the setting light source situation, wherein, correction coefficient is used in camera in setting
It is corrected in the case of light source during shooting image.
The technical scheme of the present embodiment, is carried out smoothly, reduction is made an uproar by the triple channel pixel grey scale data of dialogue field picture
Sound influences, and improves the accuracy in computation of correction coefficient.
Embodiment three
Fig. 3 A are the flow charts for the camera lens shadow correction method that the embodiment of the present invention three is provided, on the basis of above-described embodiment
On, further, added before being smoothed to pixel grey scale data and pixel grey scale data are converted into Bayer lattice
Formula data；Determine current pixel point one by one from each pixel, and current pixel point associated pixel point；By current pixel point
Merged with the pixel grey scale data of the Bayer formatted data of associated pixel point, be used as the pixel grey scale number of current pixel point
According to, and delete associated pixel point.Accordingly, this method can specifically include：
S310, shot by camera in the case of setting light source and obtain white field picture, extract the pixel ash of white field picture
Degrees of data.
S320, pixel grey scale data are converted into Bayer formatted data.
Bayer formatted data is a kind of data arrangement form of specific triple channel pixel grey scale data, specifically, odd-numbered line
The sampling respectively of the pixel of odd column and the pixel grey scale data for exporting R, G, R, G ..., the pixel of even number line even column
Sampling respectively and export G, B, G, B ... pixel grey scale data, as shown in Figure 3 B, Fig. 3 B be Bayer formatted data signal
Figure.Exemplary, will be current if current pixel point data format corresponding with Bayer formatted data is R pixel grey scale data
The red channel pixel grey scale data of pixel are defined as the Bayer formatted data of current pixel point, and abandon current pixel point
Blue channel pixel grey scale data and green channel pixel grey scale data.
In the present embodiment, when the pixel grey scale data to pixel are handled, the triple channel pixel ash of each pixel
Other passage pixels ash for a certain passage pixel grey scale data and the neighbor pixel output that degrees of data is exported in itself by pixel
Degrees of data is constituted, and pixel grey scale data are converted into Bayer formatted data and have substantially no effect on picture quality, while 60% can be reduced
Sample frequency and data amount of calculation.
S330, determine current pixel point one by one from each pixel, and current pixel point associated pixel point.
In the present embodiment, current pixel point and its corresponding association are determined by preset rules in Bayer formatted data
Pixel.
It is preferred that, step S330 can be specifically：
Current pixel point is determined one by one from each pixel, and by current pixel point, adjacent and interval is set on direction initialization
The pixel of quantity is used as associated pixel point.
Wherein, associated pixel point and current pixel point belong to the pixel in the same passage of Bayer formatted data, exemplary
, use PijThe pixel grey scale data of pixel in Bayer formatted data are represented, i is the line number of pixel in Bayer formatted data, j
For the columns of pixel in Bayer formatted data, during i and j is the positive integer more than or equal to 1, the present embodiment, according to gradually increasing
Big i and j mode determines current pixel point one by one.Exemplary, to red channel pixel and blue channel pixel, association
The direction initialization of pixel is the direction that i and j gradually increase, and interval setting quantity can be 1, the predetermined number of associated pixel point
Can be 3, such as Fig. 3 C and Fig. 3 D, Fig. 3 C is the schematic diagram of red channel current pixel point and associated pixel point, Fig. 3 D are bluenesss
Passage current pixel point and the schematic diagram of associated pixel point, wherein, if red channel current pixel point is pixel 301, as
Vegetarian refreshments 302 is the associated pixel point of pixel 301；If blue channel current pixel point is pixel 303, pixel 304 is
The associated pixel point of pixel 303.
Because green channel pixel quantity is twice of red channel pixel and blue channel pixel quantity, to green
Chrominance channel odd-numbered line is different from the associated pixel point determination mode of even rows point, exemplary, referring to Fig. 3 E and Fig. 3 F, figure
3E is the schematic diagram of current pixel point and the associated pixel point of green channel odd-numbered line, wherein, if green channel odd-numbered line is worked as
Preceding pixel point is pixel 305, then pixel 306 is the associated pixel point of pixel 305；Fig. 3 F are green channel even number lines
Current pixel point and the schematic diagram of associated pixel point, wherein, if the current pixel point of green channel even number line is pixel 307,
Then pixel 308 is the associated pixel point of pixel 307.
S340, the pixel grey scale data of current pixel point and the Bayer formatted data of associated pixel point are merged, made
For the pixel grey scale data of current pixel point, and delete associated pixel point.
Wherein, the pixel grey scale data of current pixel point and associated pixel point are merged and referred to current pixel point
With the pixel grey scale data of associated pixel point and pixel grey scale data of the value as current pixel point, current pixel point is improved
Bit levels, improve the accuracy of current pixel point pixel grey scale data, at the same delete associated pixel point reduce pixel
Point quantity, reduces data processing amount.
All pixels point in dialogue field picture under Bayer formatted data is carried out after above-mentioned processing, forms new Bayer lattice
Formula data, extract triple channel pixel grey scale data respectively, form triple channel pixel grey scale data matrix.
Exemplary, to red channel pixel and blue channel pixel, directly extract the pixel grey scale of each pixel
Data, form red channel pixel grey scale data matrix and blue channel pixel grey scale data matrix.To green channel pixel,
The direction gradually increased along i and j, obtains odd-numbered line and the diagonal two adjacent green channel pixels of even number line successively, will
The average value of its pixel grey scale data is defined as green channel pixel grey scale data matrix element, according to above-mentioned pixel grey scale data
Matrix element determines green channel pixel grey scale data matrix.
S350, pixel grey scale data are smoothed.
S360, the pixel according to the maximum gradation data of pixel grey scale data determination.
S370, the pixel grey scale data according to each pixel and maximum gradation data, determine the correction coefficient of each pixel,
The correction coefficient is subjected to corresponding record with the setting light source situation, wherein, correction coefficient is used in camera in setting
It is corrected in the case of light source during shooting image.
The technical scheme of the present embodiment, by the way that image pixel gray level data are converted into Bayer formatted data and to pixel
Point merges with associated pixel point, realizes the dimensionality reduction of triple channel pixel grey scale data matrix, reduces pending data volume, carries
High data-handling efficiency.
It is preferred that, it can also include after step S370：
Triple channel difference curved surface is determined according to the correction parameter of the triple channel；
The correction coefficient of the white field picture triple channel pixel grey scale data is determined according to the triple channel difference curved surface；
Shadow correction is carried out to image according to the correction coefficient of the white field picture triple channel pixel grey scale data.
In the present embodiment, because the pixel grey scale data of dialogue field picture have carried out the conversion of Bayer formatted data and current
Pixel merges with associated pixel point, and it is only the corresponding correction system of small sample pixel grey scale data to cause obtained correction coefficient
Number, it is impossible to which direct dialogue field picture is corrected.
In the present embodiment, the corresponding correction coefficient of each pixel of white field picture is determined by spline curve interpolation algorithm.
Exemplary, XYZ coordinate axle is set up, the columns of X-axis correspondence correction coefficient, the line number of Y-axis correspondence correction coefficient, Z correspondences are corrected
Coefficient value, respectively corresponds to triple channel correction coefficient in coordinate, and the corresponding correction coefficient of pixel is formed into B- by fitting
Spline surface, and the corresponding all differences of all pixels point in white field picture are determined by difference arithmetic, it is true according to the difference
The correction coefficient of ding white ware field picture, and dialogue field picture carries out shadow correction.Exemplary, the shadow correction of dialogue field picture can
Be by formula once carry out：R+=tpencentgain1R, wherein, R+ is the red channel pixel ash after correction
Degrees of data, R is the red channel pixel grey scale data of former white field picture；T is amplification coefficient, exemplary, for red channel
Pixel is 16 with blue channel pixel t, is 32 for green channel pixel t；Pencent is correction intensity, exemplary
, pencent can be 90~100；Gain1 is the corresponding correction coefficient of red channel all pixels point.
If it should be noted that in triple channel pixel grey scale data handling procedure, if by the ratio top grade of pixel grey scale data
The quantity of level has carried out extension increase, then when being corrected to image, it is necessary to which the pixel grey scale data convert after correction to original is compared into top grade
Level, it is exemplary, image rectification can be carried out according to equation below：
Example IV
Fig. 4 is the flow chart for the camera lens shadow correction method that the embodiment of the present invention four is provided, on the basis of above-described embodiment
On, further to the pixel grey scale data according to each pixel and maximum gradation data, determine the correction coefficient of each pixel
It is optimized, accordingly, this method can specifically include：
S410, shot by camera in the case of setting light source and obtain white field picture, extract the pixel ash of white field picture
Degrees of data.
S420, the pixel according to the maximum gradation data of pixel grey scale data determination.
Ratio between S430, the maximum gradation data of determination and each pixel pixel grey scale data, is determined according to ratio
The correction coefficient of each pixel, corresponding record is carried out by the correction coefficient with the setting light source situation, wherein, correction coefficient
For being corrected when camera is in shooting image in the case of setting light source.
In the present embodiment, the maximum transmission degree position of the pixel correspondence camera lens of maximum gradation data, according to maximum gray scale
Ratio between data and the pixel grey scale data of each pixel determines the correction coefficient of each pixel, can be by each pixel correspondence
Camera lens light transmittance compensate to maximum transmission degree, realize shadow correction.
It is preferred that, step S430 can also be：
According to the maximum gradation data of green channel, the maximum gradation data of green channel and each pixel of green channel are determined
Pixel grey scale data between the first ratio, the first ratio and 1 difference are defined as to the correction system of green channel pixel
Number；
According to the maximum gradation data of red or blue channel, it is determined that the maximum gradation data of red or blue channel and red
Or the second ratio between the pixel grey scale data of each pixel of blue channel, by the second ratio and the first ratio of correspondence position
Between the 3rd ratio, be used as the correction coefficient of red or each pixel of blue channel.
Wherein, in the pixel grey scale data or Bayer formatted data of white field picture, red channel and blue channel picture
The brightness of vegetarian refreshments is about the half of the brightness of green channel pixel, and human eye is all higher than red to the susceptibility of green channel
The susceptibility of passage and blue channel, by the maximum gradation data of red or blue channel and red or each pixel of blue channel
First ratio of the second ratio and correspondence position between pixel grey scale data carries out division arithmetic, can improve red channel and indigo plant
The susceptibility of chrominance channel pixel, improves the calibration result of red channel and blue channel pixel.
The technical scheme of the present embodiment, it is grey in the pixel of the maximum gradation data of triple channel and each pixel by white field picture
Ratio between degrees of data determines the correction coefficient of each pixel, regard the corresponding pixel of maximum gradation data as correction reference
Point, instead of situation about being corrected in the prior art by reference point of central pixel point to image, solves in the prior art
The various unit states in camera lens can not be realized the problem of accurate progress image rectification in the case of the non-device level of camera lens
Adaptive carry out image rectification down.
Embodiment five
Fig. 5 is the structural representation for the camera lens shadow correction device that the embodiment of the present invention five is provided, and the device is used to perform
The camera lens shadow correction method that any embodiment of the present invention is provided, the device can specifically include：
Image data acquisition module 510, obtains white field picture for being shot by camera in the case of setting light source, carries
Take the pixel grey scale data of white field picture；
First pixel determining module 520, the pixel for determining maximum gradation data according to pixel grey scale data；
Correction coefficient determining module 530, for the pixel grey scale data according to each pixel and maximum gradation data, it is determined that
The correction coefficient of each pixel, corresponding record is carried out by the correction coefficient with the setting light source situation, wherein, correction coefficient
For being corrected when camera is in shooting image in the case of setting light source.
It is preferred that, device also includes：
Data smoothing module 540 is right for before the pixel of maximum gradation data is determined according to pixel grey scale data
Pixel grey scale data are smoothed.
It is preferred that, data smoothing module 540 includes：
Current pixel point determining unit 541, for determining current pixel point one by one from each pixel；
Smooth pixel gray scale determining unit 542, for the neighborhood adaptation value according to current pixel point pixel grey scale data,
Neighborhood adaptation value is subjected to the summation that is multiplied with default operational factor, the smooth pixel gray scale of current pixel point is determined；
Pixel grey scale data determination unit 543, the pixel grey scale for determining current pixel point according to smooth pixel gray scale
Data.
It is preferred that, device also includes：
Data format conversion module 550, for before being smoothed to pixel grey scale data, by pixel grey scale number
According to being converted to Bayer formatted data；
Second pixel determining module 560, for determining current pixel point, and current pixel one by one from each pixel
The associated pixel point of point；
Pixel grey scale data combiners block 570, for by current pixel point and the Bayer formatted data of associated pixel point
Pixel grey scale data are merged, as the pixel grey scale data of current pixel point, and delete associated pixel point.
It is preferred that, the second pixel determining module 560 specifically for：
Current pixel point is determined one by one from each pixel, and by current pixel point, adjacent and interval is set on direction initialization
The pixel of quantity is used as associated pixel point.
It is preferred that, correction coefficient determining module 530 specifically for：
It is determined that the ratio between maximum gradation data and the pixel grey scale data of each pixel, each pixel is determined according to ratio
The correction coefficient of point.
It is preferred that, the pixel grey scale data of each pixel include red channel pixel grey scale data, green channel pixel ash
Each passage pixel grey scale data are respectively processed by degrees of data and blue channel pixel grey scale data.
It is preferred that, correction coefficient determining module 530 includes：
First correction coefficient determining unit 531, for the maximum gradation data according to green channel, determines green channel most
The first ratio between high-gray level data and the pixel grey scale data of each pixel of green channel, by the first ratio and 1 difference
It is defined as the correction coefficient of green channel pixel；
Second correction coefficient determining unit 532, for the maximum gradation data according to red or blue channel, it is determined that red
Or the second ratio between the maximum gradation data of blue channel and the pixel grey scale data of red or each pixel of blue channel, will
The 3rd ratio between second ratio and the first ratio of correspondence position, is used as the correction system of red or each pixel of blue channel
Number.
It is preferred that, device also includes：
Before bit levels expansion module 580, the pixel that maximum gradation data is determined according to pixel grey scale data, by picture
The quantity of the bit levels of plain gradation data is extended increase.
It is preferred that, image data acquisition module 510 specifically for：
By being set to the camera of fixed gain, in the light that there is different angles or varying number or variety classes light source
Shot respectively in and obtain white field picture, it is the setting light to record the different angles or varying number or variety classes light source
Source situation.
Camera lens shadow correction device provided in an embodiment of the present invention can perform the camera lens that any embodiment of the present invention is provided
Shadow correction method, possesses the corresponding functional module of execution method and beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art it is various it is obvious change,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other more equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (11)
1. a kind of camera lens shadow correction method, it is characterised in that including：
Shot by camera in the case of setting light source and obtain white field picture, extract the pixel grey scale number of the white field picture
According to；
The pixel of maximum gradation data is determined according to pixel grey scale data；
According to the pixel grey scale data of each pixel and the maximum gradation data, the correction coefficient of each pixel is determined, by institute
State correction coefficient and carry out corresponding record with the setting light source situation, wherein, the correction coefficient is used to exist in the camera
It is corrected in the case of setting light source during shooting image.
2. according to the method described in claim 1, it is characterised in that the picture of maximum gradation data is determined according to pixel grey scale data
Before vegetarian refreshments, methods described also includes：
The pixel grey scale data are smoothed.
3. method according to claim 2, it is characterised in that the pixel grey scale data are smoothed, including：
Current pixel point is determined one by one from each pixel；
According to the neighborhood adaptation value of current pixel point pixel grey scale data, by the neighborhood adaptation value and default operational factor
Multiplication summation is carried out, the smooth pixel gray scale of current pixel point is determined；
The pixel grey scale data of current pixel point are determined according to the smooth pixel gray scale.
4. method according to claim 2, it is characterised in that it is being smoothed to the pixel grey scale data
Before, methods described also includes：
The pixel grey scale data are converted into Bayer formatted data；
Determine current pixel point one by one from each pixel, and current pixel point associated pixel point；
The pixel grey scale data of current pixel point and the Bayer formatted data of associated pixel point are merged, current pixel is used as
The pixel grey scale data of point, and delete the associated pixel point.
5. method according to claim 4, it is characterised in that determine current pixel point one by one from each pixel, and
The associated pixel point of current pixel point includes：
Determine current pixel point one by one from each pixel, by current pixel point on direction initialization it is adjacent and interval setting quantity
Pixel be used as associated pixel point.
6. according to the method described in claim 1, it is characterised in that according to the pixel grey scale data and the maximum of each pixel
Gradation data, determines the correction coefficient of each pixel, including：
It is determined that the ratio between maximum gradation data and the pixel grey scale data of each pixel, each pixel is determined according to the ratio
The correction coefficient of point.
7. according to any described methods of claim 1-6, it is characterised in that the pixel grey scale data of each pixel include
Red channel pixel grey scale data, green channel pixel grey scale data and blue channel pixel grey scale data, to each passage pixel
Gradation data is respectively processed.
8. method according to claim 7, it is characterised in that it is determined that the pixel grey scale of maximum gradation data and each pixel
Ratio between data, the ratio is defined as the correction coefficient of each pixel, including：
According to the maximum gradation data of green channel, the picture of the maximum gradation data of green channel and each pixel of green channel is determined
The first ratio between plain gradation data, first ratio and 1 difference is defined as the correction system of green channel pixel
Number；
According to the maximum gradation data of red or blue channel, it is determined that the maximum gradation data of red or blue channel and red or blue
The second ratio between the pixel grey scale data of each pixel in chrominance channel, by the second ratio and first ratio of correspondence position
Between the 3rd ratio, be used as the correction coefficient of red or each pixel of blue channel.
9. according to any described methods of claim 1-8, it is characterised in that determine maximum grey according to pixel grey scale data
According to pixel before, methods described also includes：
The quantity of the bit levels of the pixel grey scale data is extended increase.
10. according to any described methods of claim 1-8, it is characterised in that clapped by camera in the case of setting light source
The white field picture of acquisition is taken the photograph, including：
By being set to the camera of fixed gain, in the light field that there is different angles or varying number or variety classes light source
Shoot respectively and obtain white field picture, it is the setting light source feelings to record the different angles or varying number or variety classes light source
Condition.
11. a kind of camera lens shadow correction device, it is characterised in that including：
Image data acquisition module, white field picture is obtained for being shot by camera in the case of setting light source, extracts described
The pixel grey scale data of white field picture；
First pixel determining module, the pixel for determining maximum gradation data according to pixel grey scale data；
Correction coefficient determining module, for the pixel grey scale data according to each pixel and the maximum gradation data, it is determined that respectively
The correction coefficient of pixel, corresponding record is carried out by the correction coefficient with the setting light source situation, wherein, the correction system
Number is used to be corrected when the camera is in shooting image in the case of setting light source.
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