CN115190282A - Method for avoiding white balance distortion of camera module at high color temperature - Google Patents
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Abstract
The invention discloses a method for avoiding white balance distortion of a camera module at high color temperature, which is characterized by comprising the following steps: the method comprises the following steps of S1, calibrating a high color temperature environment of a camera module, acquiring current RGB values from an original image, bringing the RGB values into a processing chip to acquire gain values, opening a gain channel to write the gain values into the chip, identifying, judging and converting color temperatures of different scenes into color temperature values, selecting at least 10 groups of color temperature sensor modules to acquire F, R, G, B and C values, calculating the current color temperature values according to a K matrix model, and carrying out effect loading according to the acquired current color temperature values. The beneficial effects of the invention include: the camera module can be under high color temperature environment, and the uniformity that keeps after the calibration is stronger, and the terminal product effect is unanimous better, and partial product color cast can not appear, overcomes different scenes, and under the different color temperatures, the deviation does not appear in the image effect.
Description
Technical Field
The invention relates to the technical field of camera white balance calibration, in particular to a method for avoiding camera module white balance distortion at high color temperature.
Background
With the continuous development of mobile communication technology, intelligent terminals such as smart phones and tablet computers have become one of the indispensable daily tools for people due to their convenience in carrying, strong display effect and rich functions. With the rapid development of the related technologies of the intelligent terminal and the camera, the front-facing camera is applied to the intelligent terminal, and the appearance of the camera in the intelligent terminal increases the flexibility of photographing and video call of the intelligent terminal.
The camera module generally includes an optical lens, an image sensor, an image processing chip, an image transmission module, and an image display module. The existing camera can present different colors after passing through an image sensor under the irradiation of different light sources, and the light sources are generally expressed quantitatively by using color temperature. The color temperature is defined as: the color of light emitted by a light source is the same as the color of light radiated by a black body at a certain temperature, which is referred to as the color temperature of the light source. Since most of the light emitted from the light source can be referred to as white light, the color temperature of the light source can also be referred to as the degree of color of the light source relative to white. The more blue the light color is, the higher the color temperature is, and the colder the color is; the redder the lower the color temperature, the warmer the color.
Because of individual difference, the imaging effect of each camera is different, and all cameras can hardly achieve the consistent imaging effect only by one set of fixed imaging parameters. The consistency of the imaging effect of the camera is improved, the camera can be generally calibrated and burned before leaving a factory, and when the client uses the camera, the client only needs to read the calibration parameters burned in the camera in advance and apply the calibration parameters to the shot image, so that the consistency of the imaging effect between the cameras can be realized.
In the prior art, white balance calibration is performed under both A light and D50, but no over-calibration is performed at high color temperature, so that the product consistency is poor, and a large color cast phenomenon exists in a high color temperature scene.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the method for avoiding the white balance distortion of the camera module at the high color temperature, and the white balance of the camera module can be more accurate and can not be deviated in the high color temperature scene.
In order to achieve the purpose, the invention adopts the following technical scheme:
1. the utility model provides a method for avoiding camera module white balance distortion under high colour temperature which characterized in that: comprises the following steps of (a) carrying out,
s1, calibrating a high color temperature environment of a camera module,
s11, acquiring a Raw image by a camera module in an environment with a color temperature of 10000K and an illumination of 1000 Lux;
s12, capturing an ROI (region of interest) with a preset size in the center of the image, wherein the size of the ROI is 1/5width 1/5height or 1/8width 1/height or 1/10width 10height in general, and acquiring RGB (red, green and blue) values of all pixels in the ROI;
s13, calculating RGB average values ave _ R, ave _ G and ave _ B in the current ROI according to the obtained RGB values;
s14, subtracting BLC (backlight compensation) from the calculated RGB average value to obtain current _ R, current _ G and current _ B values of RGB respectively;
s15, obtaining a dual-channel conversion value according to the RGB current value obtained by calculation,
current_RG＝current_R/current_G*1024，
current_BG＝current_B/current_G*1024，
where 1024 is the dual channel conversion coefficient,
selecting CMOS chip as processor, and substituting Golden into the above formula to obtain Golden _ RG and Golden _ BG,
according to the formula
512*Golden_RG/current_RG＝r_ratio，
512*Golden_BG/current_BG＝b_ratio，
Determines the sizes of the r _ ratio and the b _ ratio,
(1) if r _ ratio is not less than 512 and b _ ratio is not less than 512, calculating
R_GAIN＝256*r_ratio/512，
B_GAIN＝256*r_ratio/512，
G_GAIN＝256；
(2) If r _ ratio is not less than 512 and b _ ratio is less than 512, calculating
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
(3) If r _ ratio <512 and b _ ratio ≧ 512, calculate
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
(4) If r _ ratio <512 and b _ ratio <512, calculate
Gr_GAIN＝256*512/r_ratio，
Gb_GAIN＝256*512/b_ratio，
If Gr _ GAIN is more than or equal to Gb _ GAIN,
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
if Gr _ GAIN < Gb _ GAIN,
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
s16, the CMOS chip opens GAIN control of each channel, and the calculated R _ GAIN, G _ GAIN and B _ GAIN are respectively written into the RGB registers corresponding to the chip, so that the effect after application can be obtained;
s2, accurately identifying the color temperature of the photographed scene by using a color temperature sensor, converting the color temperature into a color temperature value,
s21, selecting 10 standard color temperature sensor modules;
s22, testing 10 standard color temperature sensor modules in at least 10 color temperature environments respectively, wherein each module acquires at least 10 groups of F, R, G, B and C values;
s23, introducing the obtained 100 data into a correction tool for linear fitting to obtain 2 to 4 groups of K-matrix (K matrix);
s24, substituting the obtained K-matrix into the test data of the test module to obtain the current color temperature value,
the XYZ tri-stimulus value is calculated,
the "x" and "y" are calculated from XYZ tristimulus values as follows:
x＝X/(X+Y+Z)
y＝Y/(X+Y+Z)
the Y value is the luminance in this environment, in Lux,
the value of n is calculated by the values of x and y, and the calculation formula is as follows:
n＝(x-0.3320)/(0.1858-y)，
calculating the current color temperature value (CCT) through the calculated n value, wherein the calculation formula is as follows:
CCT＝-499*n 3 +3525.0*n 2 –6823.3*n+5520.33，
and S3, loading effect parameters according to the current color temperature value, calling a camera awb tuning para 10000K parameter list when the current color temperature value of the active CCT color temperature value of the color temperature sensor is higher than 6500K.
Further, the size of the ROI region selected in step S12 is 1/5width 1/5height or 1/8width 1/height or 1/10width 10height.
Further, the BLC value in step S14 is, according to the graph case, 64 for 10-bit data graph and 16 for 8-bit data graph, respectively.
Further, the high color temperature light source adopted in step S11 is a 10000K full spectrum light source.
The beneficial effects of the invention include: the camera module can be under high color temperature environment, and the uniformity that keeps after the calibration is stronger, and the terminal product effect is unanimous better, and partial product color cast can not appear, overcomes different scenes, and under the different color temperatures, the deviation does not appear in the image effect.
Drawings
FIG. 1 is a spectral diagram of a high color temperature light source according to the present invention;
FIG. 2 is a flow chart of high color Wen Jiaozhun of the present invention;
FIG. 3 is a flow chart of converting color temperature values by the color temperature sensor according to the present invention;
FIG. 4 is a flow chart of the K-matrix calculation in the present invention;
FIG. 5 is a flow chart of parameter loading according to color temperature values in the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments and the accompanying drawings.
A method for avoiding distortion of white balance of a camera module at high color temperature as shown in fig. 1-5, comprising the steps of:
1. the WB (white balance) calibration of the camera module is performed using the high-color-temperature full-spectrum light source shown in fig. 1.
2. The camera module can be under high color temperature environment, the stronger uniformity of maintenance after the calibration. The process of the high color Wen Bai balance calibration as shown in fig. 2 includes:
s11, acquiring a Raw image by a camera module in an environment with color temperature of 10000K and illumination of 1000 Lux;
s12, capturing a ROI (region of interest) with a preset size in the center of an original image, and acquiring RGB values of all pixels in the ROI;
s13, calculating RGB average values ave _ R, ave _ G and ave _ B in the current ROI according to the obtained RGB values;
s14, subtracting BLC (backlight compensation) from the calculated RGB average value to obtain current values of RGB, current _ R, current _ G and current _ B, wherein the BLC value is according to the image drawing condition, if the image drawing condition is 10 bits of data, the BLC is 64, and if the image drawing condition is 8 bits of data, the BLC is 16;
s15, obtaining a double-channel conversion value according to the RGB current value obtained by calculation,
current_RG＝current_R/current_G*1024，
current_BG＝current_B/current_G*1024，
where 1024 is the two-channel conversion coefficient,
taking CMOS chip as an example of the processor, golden is substituted into the above formula to obtain Golden _ RG and Golden _ BG according to the above principle,
the ratio value is calculated according to the following formula,
512*Golden_RG/current_RG＝r_ratio，
512*Golden_BG/current_BG＝b_ratio，
judging the sizes of the r _ ratio and the b _ ratio to obtain each gain value,
(1) if r _ ratio is not less than 512 and b _ ratio is not less than 512, calculating
R_GAIN＝256*r_ratio/512，
B_GAIN＝256*r_ratio/512，
G_GAIN＝256；
(2) If r _ ratio is not less than 512 and b _ ratio is less than 512, calculating
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
(3) If r _ ratio <512 and b _ ratio ≧ 512, calculate
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
(4) If r _ ratio <512 and b _ ratio <512, calculate
Gr_GAIN＝256*512/r_ratio，
Gb_GAIN＝256*512/b_ratio，
If Gr _ GAIN is more than or equal to Gb _ GAIN,
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
if Gr _ GAIN < Gb _ GAIN,
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
and S16, opening GAIN control of each channel by the CMOS chip, and writing the calculated R _ GAIN, G _ GAIN and B _ GAIN into the RGB registers corresponding to the chip respectively to obtain the effect after application.
3. The camera module is highly uniform after the calibration, so that the mobile phone can be conveniently debugged by using the golden module, and debugging effect parameters can all cover other modules, so that the effect of a terminal product is uniform and better, and partial product color cast can not occur.
4. The difference of the module at high color temperature is solved, and the image effect does not deviate under different color temperatures and different scenes.
The invention uses the color temperature sensor to accurately identify the color temperature of the shooting scene, and how to convert the original data of the color temperature sensor into the color temperature value.
As shown in fig. 3, S2, the color temperature sensor is used to accurately identify the color temperature of the photographed scene, and convert it into a color temperature value,
s21, selecting 10 standard color temperature sensor modules;
s22, testing 10 standard color temperature sensor modules in at least 10 color temperature environments respectively, wherein each module acquires at least 10 groups of F, R, G, B and C values;
s23, introducing the obtained 100 data into a correction tool for linear fitting to obtain 2 to 4 groups of K-matrix (K matrix);
color matching units of RGB three primary colors in an RGB color space are [ R ], [ G ], [ B ]; the color coordinates are (1,0,0), (0,1,0), and (0,0,1), respectively.
The color coordinates of RGB three primary colors in XYZ color space are respectively (r) x ,r y ，r z )，(g x ,g y ，g z )，(b x ,b y ，b z ) The tristimulus values of which in XYZ color space are respectively
Color matching units of the XYZ three primary colors in an XYZ color space are [ X ], [ Y ], [ Z ] respectively. The color coordinates are (1,0,0), (0,1,0), and (0,0,1), respectively.
The tristimulus value of any one color P in RGB color space is (R) P ，G，B P ) The tristimulus value in XYZ color space is (X) P ，Y P ，Z P ). Then there are:
namely:
the upper graph matrix is a conversion matrix between the tristimulus values of the RGB color space and the tristimulus values of the XYZ color space. Where the tristimulus values of the RGB primaries in the XYZ color space are known. Only need to obtain Y R ，Y G ，Y B The transformation matrix can be obtained by the proportional relation.
Example (c): it is known that the tristimulus values of the white point W in the RGB color space are (1,1,1), respectively, and the color coordinates in the XYZ color space are (W) x ，w y ，w z ) The tristimulus values are respectively
Is provided with Y W If the formula is substituted, then
Whereby Y can be obtained R ，Y G ，Y B The conversion matrix of RGB and XYZ can be obtained.
S24, the obtained K-matrix is substituted into the test data of the color temperature sensor module to obtain the current color temperature value,
as shown in fig. 4, the tri-stimulus value of X, Y, Z is obtained,
the "x" and "y" are calculated from X, Y, Z three stimulus values as follows:
x＝X/(X+Y+Z)
y＝Y/(X+Y+Z)
the Y value is an illuminance value under the current environment, and the unit Lux,
calculating an intermediate value n by using the values of x and y, wherein the calculation formula is as follows:
n＝(x-0.3320)/(0.1858-y)，
calculating the current color temperature value (CCT) through the calculated n value, wherein the calculation formula is as follows:
CCT＝-499*n 3 +3525.0*n 2 –6823.3*n+5520.33，
if the CCT color temperature value has deviation, testing by collecting the environment with the deviation color temperature section again, and calculating the K-matrix again.
And obtaining the current color temperature value, and how to load the effect parameters according to the color temperature value. The following scheme is illustrative.
As shown in fig. 5, S3, effect parameter loading is performed according to the current color temperature value, the active CCT color temperature value of the current color temperature sensor is obtained, and when the color temperature value is higher than 6500K, the device platform calls a camera awb tuning para 10000K parameter list to perform white balance correction.
The technical solutions provided by the embodiments of the present invention are described in detail above, and the principles and embodiments of the present invention are explained herein by using specific examples, and the descriptions of the embodiments are only used to help understanding the principles of the embodiments of the present invention; meanwhile, for a person skilled in the art, according to the embodiments of the present invention, there may be variations in the specific implementation manners and application ranges, and in summary, the content of the present description should not be construed as a limitation to the present invention.
Claims (4)
1. The utility model provides a method for avoiding camera module white balance distortion under high colour temperature which characterized in that: comprises the following steps of (a) preparing a solution,
s1, calibrating a high color temperature environment of a camera module,
s11, acquiring a Raw image by a camera module in an environment with color temperature of 10000K and illumination of 1000 Lux;
s12, capturing an ROI (region of interest) with a preset size in the center of the image, and acquiring RGB (red, green and blue) values of all pixels in the ROI;
s13, calculating RGB average values ave _ R, ave _ G and ave _ B in the current ROI according to the obtained RGB values;
s14, subtracting BLC from the calculated RGB average value to obtain current _ R, current _ G and current _ B values of RGB respectively;
s15, obtaining a double-channel conversion value according to the RGB current value obtained by calculation,
current_RG＝current_R/current_G*1024，
current_BG＝current_B/current_G*1024，
where 1024 is the two-channel conversion coefficient,
selecting CMOS chip as processor, and substituting Golden into the above formula to obtain Golden _ RG and Golden _ BG,
according to the formula
512*Golden_RG/current_RG＝r_ratio，
512*Golden_BG/current_BG＝b_ratio，
Determines the sizes of the r _ ratio and the b _ ratio,
(1) if r _ ratio is not less than 512 and b _ ratio is not less than 512, calculating
R_GAIN＝256*r_ratio/512，
B_GAIN＝256*r_ratio/512，
G_GAIN＝256；
(2) If r _ ratio is not less than 512 and b _ ratio is less than 512, calculating
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
(3) If r _ ratio <512 and b _ ratio ≧ 512, calculate
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
(4) If r _ ratio <512 and b _ ratio <512, calculate
Gr_GAIN＝256*512/r_ratio，
Gb_GAIN＝256*512/b_ratio，
If Gr _ GAIN is more than or equal to Gb _ GAIN,
R_GAIN＝256，
B_GAIN＝256*b_ratio/r_ratio，
G_GAIN＝256*512/r_ratio；
if Gr _ GAIN < Gb _ GAIN,
R_GAIN＝256*r_ratio/b_ratio，
B_GAIN＝256，
G_GAIN＝256*512/b_ratio；
s16, the CMOS chip opens GAIN control of each channel, and the calculated R _ GAIN, G _ GAIN and B _ GAIN are respectively written into the RGB registers corresponding to the chip, so that the effect after application can be obtained;
s2, accurately identifying the color temperature of the photographed scene by using a color temperature sensor, converting the color temperature into a color temperature value,
s21, selecting 10 standard color temperature sensor modules;
s22, testing 10 standard color temperature sensor modules in at least 10 color temperature environments respectively, wherein each module acquires at least 10 groups of F, R, G, B and C values;
s23, introducing the obtained 100 data into a correction tool for linear fitting to obtain 2 to 4 groups of K-matrix (K matrix);
s24, substituting the obtained K-matrix into the test data of the test module to obtain the current color temperature value, obtaining the XYZ tristimulus value,
the intermediate values "x" and "y" are calculated from the XYZ tristimulus values, and the calculation formula is as follows:
x＝X/(X+Y+Z)
y＝Y/(X+Y+Z)
the Y value is the luminance in this environment, in Lux,
the value of n is calculated by the values of x and y, and the calculation formula is as follows:
n＝(x-0.3320)/(0.1858-y)，
calculating the current color temperature value CCT through the calculated n value, wherein the calculation formula is as follows:
CCT＝-499*n 3 +3525.0*n 2 –6823.3*n+5520.33，
s3, loading effect parameters according to the current color temperature value, calling a camera awb tuning para 10000K parameter list when the current color temperature sensor activity CCT color temperature value is higher than 6500K.
2. The method of claim 1, wherein the method comprises the steps of: the size of the ROI region selected in step S12 is 1/5width 1/5height or 1/8width 1/height or 1/10width 10height.
3. The method of claim 1, wherein the method comprises the steps of: the BLC value in step S14 is, according to the graph case, that the BLC is 64 if the graph is plotted for 10-bit data, and that the graph is 16 if the graph is plotted for 8-bit data.
4. The method for avoiding the white balance distortion of the camera module at the high color temperature as claimed in claim 1, wherein: the high color temperature light source adopted in the step S11 is a 10000K full spectrum light source.
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