CN102256053B - Image correcting system and method - Google Patents
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Abstract
The invention discloses an image correcting method, comprising the following steps: 1, picking up an image of a test picture by using an image pick-up module, wherein the image pick-up module comprises an image sensor, a central coordinate of the image sensor is (Xo, Yo), the image comprises at least one group of black strips which are located in the middle and the centre of the group of black strips is overlapped with the centre of the image; 2, calculating the coordinate of the central point of each strip in the group of black strips; 3, calculating the coordinate (Xc, Yc) of the center of the image according to the coordinate of the central point of each strip in the group of black strips; 4, calculating an offset (Delta X, Delta Y) which is equal to (Xc-Xo, Yc-Yo) between the centre of the image and the centre of the image sensor; and 5, writing the offset in the image sensor so that the image sensor corrects the image according to the offset. In addition, the invention also provides an image correcting system.
Description
Technical field
The present invention relates to a kind of image correction system and bearing calibration thereof.
Background technology
Along with the development of multimedia technology, digital camera is by people's extensive use, especially in recent years portable electron device also fast to high-performance, multifunction future development, the combination of digital camera and portable electron device become development Technology of Mobile Multimedia key.
Because accurate aligning possibly cannot be realized in the position of camera lens in digital camera and the position of image sensor, likely there is skew with the center of image sensor in the center of the captured image of digital camera, described skew may cause the error of test event (for example resolution test) excessive, also likely affects the image quality of digital camera.
Summary of the invention
In view of this, be necessary to provide a kind of picture centre is proofreaied and correct to image correction system and the bearing calibration thereof to image sensor center.
A kind of image correction system comprises: image pickup module, this image pickup module comprises image sensor, this image collection module is for taking the piece image of test picture, the abscissa at image sensor center, ordinate are respectively Xo, Yo, this image at least comprises one group of blackstreak in the middle of being positioned at, the center of this group blackstreak and the center superposition of this image; The first computing module is used for the coordinate of the central point that calculates this each striped of group blackstreak; The second computing module is for calculating the coordinate at the center of this image according to the coordinate of the central point of this each striped of group blackstreak, and the abscissa at the center of this image, ordinate are respectively Xc, Yc; The 3rd computing module is used for the side-play amount at center and this image sensor center of calculating this image, the offset Δ X=Xc-Xo of abscissa, the offset Δ Y==Yc-Yo of ordinate; And correction module is for writing image sensor by this side-play amount, image sensor according to this side-play amount to this correct image.
A kind of method for correcting image, it comprises the following steps: (1) takes the piece image of test picture with image pickup module, this image pickup module comprises image sensor, the coordinate at image sensor center is (Xo, Yo), this image at least comprises one group of blackstreak in the middle of being positioned at, the center of this group blackstreak and the center superposition of this image; (2) calculate the coordinate of the central point of each striped in this group blackstreak; (3) according to the coordinate of the central point of each striped in this group blackstreak, calculate the coordinate (Xc, Yc) at the center of this image; (4) calculate side-play amount (Δ X, Δ Y)=(Xc-Xo, the Yc-Yo) at center and this image sensor center of this image; And (5) write this side-play amount in image sensor, image sensor according to this side-play amount to this correct image.
With respect to prior art, method for correcting image of the present invention is by computed image center, picture centre is proofreaied and correct to image sensor center, thereby reduce or eliminate the excessive problem of test event error causing by being offset, and then promote the image quality of digital camera.Image correction system of the present invention can reduce or eliminate the excessive problem of test event error causing by being offset, and then promotes the image quality of digital camera.
Accompanying drawing explanation
Fig. 1 is the functional block diagram of the image correction system of preferred embodiment of the present invention.
Fig. 2 is the plane graph of the test picture of preferred embodiment of the present invention.
Fig. 3 is the schematic diagram that the image of the test picture of Fig. 2 is separated according to Color Channel.
Fig. 4 is the flow chart of the method for correcting image of preferred embodiment of the present invention.
Main element symbol description
The first computing module 33
Separation of images unit 331
The first computing unit 333
Luminance threshold setup unit 335
Comparing unit 337
The second computing unit 339
The second computing module 35
The 3rd computing module 37
Gr channel image 203
Embodiment
Below in conjunction with drawings and Examples, the technical program is described in further detail.
Referring to Fig. 1, is a kind of image correction system 30 that embodiment of the present invention provides, and it comprises image pickup module 31, the first computing module 33, the second computing module 35, the three computing modules 37 and correction modules 39.
In the present embodiment, test picture 10 is rectangular black and white picture.Test picture 10 comprises that 5 groups of blackstreaks lay respectively at centre and four corners of test picture 10.Every group of blackstreak comprises 6 blackstreaks that are parallel to each other and equidistantly distribute, roughly parallelogram of every group of blackstreak.Be positioned at the center of one group of middle blackstreak of test picture 10 and the center superposition of test picture 10.In the present embodiment, the size of image 20 is that 640 pixels are multiplied by 480 pixels.Image 20 at least comprises the one group of blackstreak that is positioned at its centre, the center superposition of the center of this group blackstreak and image 20.The center of this group blackstreak refers to using this group blackstreak entirety as a geometric figure, this geometric center.
The first computing module 33 is for calculating the coordinate of the central point that is positioned at that each striped of group blackstreak in the middle of image 20.The first computing module 33 comprises separation of images unit 331, the first computing units 333, luminance threshold setup unit 335, comparing unit 337 and the second computing unit 339.
Refer to Fig. 3, separation of images unit 331, for image 20 is separated according to Color Channel, obtains Gr channel image 203.In the present embodiment, image 20 is according to four Color Channel (R, B, Gr, Gb) separate, be isolated into R channel image 201, B channel image 202, Gr channel image 203, Gb channel image 204 (as shown in Figure 3), wherein Gr represents green red channel, Gb represents turquoise passage, and R represents red channel, and B represents blue channel.The size of R channel image 201, B channel image 202, Gr channel image 203, Gb channel image 204 is all that 320 pixels are multiplied by 240 pixels.
The first computing unit 333 is for calculating the homogenizing brightness of Gr channel image 203 each pixels.Calculate the brightness of each pixel and take following methods: centered by this pixel, choose the square pixel region that n pixel is multiplied by (*) n pixel, the sum of all pixels (being n*n) by the brightness sum of these all pixels in square pixel region divided by this region.At the present embodiment, n=77.Be understandable that, the side in this square pixel region can be parallel to the long limit of Gr channel image, also can be crossing with acute angle with the long limit of Gr channel image.
For some, approach the pixel on border, the region of possibly cannot choose 77 pixels centered by this pixel being multiplied by 77 pixels, centered by this pixel, draw the square that an area equals 77 pixels and be multiplied by 77 pixels, this foursquare first side is parallel to the long limit of Gr channel image 203, the Second Edge that this square is vertical with this first side is parallel to the minor face of Gr channel image 203, then this is fallen into the brightness sum of all pixels of this square divided by the sum of all pixels that falls into this square.For example, when calculating is positioned at the homogenizing brightness of pixel of the first row and first row, due to the corner of this pixel in image sensor, when drawing an area equal 77 pixels and be multiplied by 77 pixels square centered by this pixel, in this square, only have 39 pixels to be multiplied by the pixel square of 39 pixels.When calculating the homogenizing brightness of this pixel, the brightness of 39 pixels take this pixel as a summit being multiplied by all pixels in the pixel square of 39 pixels adds up, then divided by the sum of all pixels (that is, 39*39=1521) of this square area.Be understandable that, this foursquare first side also can tilt crossing with the long limit of Gr channel image 203.
Luminance threshold setup unit 335 is for setting the threshold value of a brightness.This threshold value can be made as the center brightness of Gr channel image.The center brightness of Gr channel image can be calculated by the following method: the rectangular pixels region of choosing a m*n in the center of Gr channel image, sum of all pixels (being m*n) by the homogenizing brightness sum of all pixels in this region divided by this region, obtains the center brightness of Gr channel image.In the present embodiment, m=8, n=4.In other embodiments, m also can equal n.
Comparing unit 337, for by the brightness after each pixel homogenizing and this threshold value comparison, if the brightness of certain pixel is less than this threshold value, thinks that this pixel belongs to the point on blackstreak.
The second computing unit 339 is for calculating the coordinate of the central point that is positioned at middle that each striped of group blackstreak according to the point on blackstreak.
Below illustrate the computational methods of the central point of certain blackstreak: four summits finding out this blackstreak, the coordinate of supposing four summits of this blackstreak (being top left corner apex, summit, the upper right corner, summit, the lower left corner, summit, the lower right corner) is (1,1), (3,1), (0,2), (2,2), the central point abscissa of this blackstreak is (0+3)/2=1.5, central point ordinate is (1+2)/2=1.5, therefore the coordinate of central point is (1.5,1.5).For the image with many group blackstreaks, can find out that group blackstreak in the middle of being positioned at according to the point on each blackstreak.
The second computing module 35 is positioned at abscissa Xc and the ordinate Yc at the coordinate computed image center of the central point of that each striped of group blackstreak in the middle of image 20 for basis.Wherein, the abscissa Xc=(X1+X2+X3+X4+X5+X6)/6 of picture centre, the ordinate Yc=(Y1+Y2+Y3+Y4+Y5+Y6)/6 of picture centre.
The 3rd computing module 37 is for side-play amount (Δ X, Δ Y)=(Xc-Xo, the Yc-Yo) at computed image center and image sensor center.
S1: take test picture 10 with image pickup module 31 and obtain piece image 20, image pickup module 31 comprises image sensor, the abscissa at image sensor center is that Xo, ordinate are Yo, image 20 at least comprises the one group of blackstreak that is positioned at its centre, the center superposition of the center of this group blackstreak and image 20.
As shown in Figure 2, in the present embodiment, test picture 10 is rectangular black and white picture.Test picture 10 comprises that 5 groups of blackstreaks lay respectively at centre and four corners of test picture 10.Every group of blackstreak comprises 6 blackstreaks that are parallel to each other and equidistantly distribute, roughly parallelogram of every group of blackstreak.Be positioned at the center of one group of middle blackstreak of test picture 10 and the center superposition of test picture 10.In the present embodiment, the size of image 20 is that 640 pixels are multiplied by 480 pixels.
In the present embodiment, this image pickup module 31 is Video Graphics Array camera modules (VGA camera module) that STMicw Electronics (ST micron) model is ST555.
S2: the coordinate that calculates the central point that is arranged in that middle each striped of group blackstreak of image 20.
S3: according to abscissa Xc and the ordinate Yc at coordinate computed image center of central point that is arranged in that each striped of group blackstreak in the middle of image 20.
The coordinate of supposing the central point of 6 blackstreaks in image is respectively (X1, Y1), (X2, Y2), (X3, Y3), (X4, Y4), (X5, Y5), (X6, Y6), the abscissa Xc=(X1+X2+X3+X4+X5+X6)/6 of picture centre, the ordinate Yc=(Y1+Y2+Y3+Y4+Y5+Y6)/6 of picture centre.
S4: side-play amount (Δ X, Δ Y)=(Xc-Xo, the Yc-Yo) at computed image center and image sensor center.
S5: side-play amount (Δ X, Δ Y) is write in image sensor by modes such as Inter-integrated circuit (I2C) buses, image sensor according to set side-play amount (Δ X, Δ Y) to correct image.
Wherein, step S2 further comprises following sub-step:
S21: image 20 is separated according to Color Channel, obtain Gr channel image 203.
In the present embodiment, image 20 is according to four Color Channel (R, B, Gr, Gb) separate, be isolated into R channel image 201, B channel image 202, Gr channel image 203, Gb channel image 204 (as shown in Figure 3), wherein Gr represents green red channel, Gb represents turquoise passage, and R represents red channel, and B represents blue channel.The size of R channel image 201, B channel image 202, Gr channel image 203, Gb channel image 204 is all that 320 pixels are multiplied by 240 pixels.
S22: the homogenizing brightness of calculating Gr channel image 203 each pixels.
Calculate the brightness of each pixel and take following methods: centered by this pixel, the square pixel region of choosing n pixel and being multiplied by (*) n pixel, the sum of all pixels (being n*n) by the brightness sum of these all pixels in region divided by this region.At the present embodiment, n=77.
For some, approach the pixel on border, the region of possibly cannot choose 77 pixels centered by this pixel being multiplied by 77 pixels, centered by this pixel, draw the square that an area equals 77 pixels and be multiplied by 77 pixels, this foursquare first side is parallel to the long limit of Gr channel image 203, the Second Edge that this square is vertical with this first side is parallel to the minor face of Gr channel image 203, then this is fallen into the brightness sum of all pixels of this square divided by the sum of all pixels that falls into this square.For example, when calculating is positioned at the homogenizing brightness of pixel of the first row and first row, due to the corner of this pixel in image sensor, when drawing an area equal 77 pixels and be multiplied by 77 pixels square centered by this pixel, in this square, only have 39 pixels to be multiplied by the pixel square of 39 pixels.When calculating the homogenizing brightness of this pixel, the brightness of 39 pixels take this pixel as a summit being multiplied by all pixels in the pixel square of 39 pixels adds up, then divided by the sum of all pixels (that is, 39*39=1521) of this square area.
S23: the threshold value of setting a brightness.
This threshold value can be made as the center brightness of Gr channel image.The center brightness of Gr channel image can be calculated by the following method: the rectangular pixels region of choosing a m*n in the center of Gr channel image, sum of all pixels (being m*n) by the homogenizing brightness sum of all pixels in this region divided by this region, obtains the center brightness of Gr channel image.In the present embodiment, m=8, n=4.In other embodiments, m also can equal n.
S24: by the brightness after each pixel homogenizing and this threshold value comparison, if the brightness of certain pixel is less than this threshold value, think that this pixel belongs to the point on blackstreak.
S25: the coordinate that calculates the central point that is arranged in middle that each striped of group blackstreak according to the point on blackstreak.
Below illustrate the computational methods of the central point of certain blackstreak: four summits finding out this blackstreak, the coordinate of supposing four summits of this blackstreak (being top left corner apex, summit, the upper right corner, summit, the lower left corner, summit, the lower right corner) is (1,1), (3,1), (0,2), (2,2), the central point abscissa of this blackstreak is (0+3)/2=1.5, central point ordinate is (1+2)/2=1.5, therefore the coordinate of central point is (1.5,1.5).For the image with many group blackstreaks, can find out that group blackstreak in the middle of being positioned at according to the point on each blackstreak.
Be understandable that one group of blackstreak in the middle of test picture also can only include.Every group of blackstreak can comprise the blackstreak of any amount, and preferentially, every group of blackstreak comprises even number bar blackstreak.
At the present embodiment, calculate the homogenizing brightness of Gr channel image 203 each pixels.Be appreciated that also and can calculate by other channel image of Gb channel image.Because the contrast of Gr channel image 203 is that in four channel image, contrast is the highest, therefore Optimization Analysis Gr channel image 203.
With respect to prior art, method for correcting image of the present invention is by computed image center, picture centre is proofreaied and correct to image sensor center, thereby reduce or eliminate the excessive problem of test event error causing by being offset, and then promote the image quality of digital camera.Image correction system of the present invention can reduce or eliminate the excessive problem of test event error causing by being offset, and then promotes the image quality of digital camera.
In addition, those skilled in the art can also do other and change in spirit of the present invention, and certainly, the variation that these do according to spirit of the present invention, within all should being included in the present invention's scope required for protection.
Claims (8)
1. an image correction system, is characterized in that, it comprises:
Image pickup module, this image pickup module comprises image sensor, this image collection module is for taking the piece image of test picture, the abscissa at image sensor center, ordinate are respectively Xo, Yo, this image at least comprises one group of blackstreak in the middle of being positioned at, the center of this group blackstreak and the center superposition of this image;
The first computing module is used for the coordinate of the central point that calculates this each striped of group blackstreak, and this first computing module comprises:
Separation of images unit separates according to Color Channel for the image that this image pickup module is obtained, and obtains at least one channel image;
The homogenizing brightness of the first computing unit for calculating the each pixel of this at least one channel image;
Luminance threshold setup unit is for setting the threshold value of a brightness;
Comparing unit, for by the brightness after each pixel homogenizing and this threshold value comparison, if the brightness of certain pixel is less than this threshold value, thinks that this pixel belongs to the point on blackstreak; And
The second computing unit is for calculating the coordinate of the central point of this each striped of group blackstreak according to the point on blackstreak;
The second computing module is for calculating the coordinate at the center of this image according to the coordinate of the central point of this each striped of group blackstreak, and the abscissa at the center of this image, ordinate are respectively Xc, Yc;
The 3rd computing module is used for the side-play amount at center and this image sensor center of calculating this image, the offset Δ X=Xc-Xo of abscissa, the offset Δ Y=Yc-Yo of ordinate; And
Correction module is for writing image sensor by this side-play amount, image sensor according to this side-play amount to this correct image.
2. image correction system as claimed in claim 1, is characterized in that, this separation of images unit is for separating this image according to Gr, Gb, R, tetra-Color Channels of B.
3. image correction system as claimed in claim 1, is characterized in that, the center brightness that this threshold value is this at least one channel image.
4. a method for correcting image, is characterized in that, it comprises the following steps:
(1) with image pickup module, take the piece image of testing picture, this image pickup module comprises image sensor, the abscissa at the center of this image sensor, ordinate are respectively Xo, Yo, this image at least comprises one group of blackstreak in the middle of being positioned at, the center of this group blackstreak and the center superposition of this image;
(2) calculate the coordinate of the central point of each striped in this group blackstreak, step (2) comprises following sub-step:
(a) image of this image pickup module being taken separates according to Color Channel, obtains at least one channel image;
(b) calculate the homogenizing brightness of the each pixel of this channel image;
(c) threshold value of a brightness of setting;
(d), by the brightness after each pixel homogenizing and this threshold value comparison, if the brightness of certain pixel is less than this threshold value, think that this pixel belongs to the point on blackstreak; And
(e) according to the point on blackstreak, calculate the coordinate of the central point of each striped in this group blackstreak;
(3) according to the coordinate of the central point of each striped in this group blackstreak, calculate the coordinate at the center of this image, the abscissa at the center of this image, ordinate are respectively Xc, Yc;
(4) calculate the side-play amount at the center of this image and the center of this image sensor, the offset Δ X=Xc-Xo of abscissa, the offset Δ Y=Yc-Yo of ordinate; And
(5) this side-play amount is write in image sensor, image sensor according to this side-play amount to this correct image.
5. method for correcting image as claimed in claim 4, is characterized in that, in step (a), this image separates according to Gr, Gb, R, tetra-Color Channels of B.
6. method for correcting image as claimed in claim 4, it is characterized in that, in step (b), the homogenizing brightness of each pixel takes following methods to calculate: centered by this pixel, choose the square pixel region that n pixel is multiplied by n pixel, the sum of all pixels by the brightness sum of these all pixels in region divided by this region.
7. method for correcting image as claimed in claim 4, is characterized in that, in step (c), and the center brightness that this threshold value is this at least one channel image.
8. method for correcting image as claimed in claim 4, it is characterized in that, in step (c), the center brightness of this at least one channel image can obtain by the following method: in the center of this channel image, choose a rectangular pixels region, the sum of all pixels by the homogenizing brightness sum of all pixels in this region divided by this region.
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| CN105488821B (en) * | 2015-11-20 | 2022-02-01 | 厦门雅迅网络股份有限公司 | Method and device for correcting image center point |
| CN106657974B (en) * | 2017-02-27 | 2024-02-09 | 北京图森智途科技有限公司 | Control method and device of binocular camera and binocular camera |
| CN107071296B (en) * | 2017-05-15 | 2020-09-04 | 信利光电股份有限公司 | Brightness debugging method for panoramic double cameras |
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Effective date of registration: 20160330 Address after: 518000, building A, building 706, wisdom Plaza, overseas Chinese incense Road, Shahe street, Guangdong, Shenzhen, Nanshan District Patentee after: SHENZHEN NADE OPTICAL CO., LTD. Address before: 518109 Guangdong city of Shenzhen province Baoan District Longhua Town Industrial Zone tabulaeformis tenth East Ring Road No. 2 two Patentee before: Hongfujin Precise Industry (Shenzhen) Co., Ltd. Patentee before: Hon Hai Precision Industry Co., Ltd. |