CN101442679A - Automatic white balance control system, white balance module and method thereof - Google Patents
Automatic white balance control system, white balance module and method thereof Download PDFInfo
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Abstract
The invention discloses an automatic white balance control system, a white balance module and a method thereof. The system comprises an image capturing module, a memory module, an image parameter computation module, a white balance module and a control module. The method of the system comprises: calculating distance values of a plurality of images in a color space coordinate; and performing automatic white balance processing if the mean or median of the distance values is larger than a threshold. The module comprises an image cutting module, a sharpness computation module, a selection module, an accumulation average module, and a gain determination unit. The method of the module comprises: receiving an image; dividing the image into a plurality of image blocks; calculating the sharpness of each block; selecting an image area with the sharpness larger than the threshold from the image blocks; calculating an R mean of the pixel, a G mean and a B mean of the selected image block are calculated; and determining a gain adjustment according to the R mean, the G mean and the B mean.
Description
[technical field]
The invention relates to a kind of automatic white balance control system, its white balance module and method thereof, particularly relevant for a kind of automatic white balance control system and method, its white balance module and the method thereof that can dynamically adjust threshold value and take a sample according to image sharpness.
[background technology]
At present, digital camera generally has the Automatic white balance function.Because object color can change because of the throw light color, therefore the photo of taking out in different occasions has different colour temperatures, and for example, the photo of taking under the environment of tungsten lighting may be yellow partially.And the image speciality of the present image of Automatic white balance function basis is adjusted the intensity of red bluish-green three looks in the image, to revise the error that extraneous light was caused.
The white balance of biography system is handled and is carried out the white balance computing based on a gray scale world model (grey-world model) mostly, promptly adjust image gain, make that the R mean value/G mean value in the image is similar to B mean value/G mean value according to the pixel data of image.Yet, if the intensity of light source of external environment condition a little less than, or image is when comprising a large amount of monochromatic block, because noise or the slight variation of brightness make the Automatic white balance function constantly be activated and close, causes image flickering easily.
Because every problem of prior art, in order to take into account solution, the inventor proposes a kind of automatic white balance control system, its white balance module and method thereof based on research and development and many practical experience for many years, with implementation and the foundation as the above-mentioned shortcoming of improvement.
[summary of the invention]
In view of this, purpose of the present invention is providing a kind of automatic white balance control system, its white balance module and method thereof exactly, with stability that improves auto white balance system and the influence of avoiding the monochrome image block.
According to purpose of the present invention, (it comprises a capturing images module, a storage module, an image parameter computing module, a white balance module and a control module for auto white balance, AWB) control system to propose a kind of Automatic white balance.The capturing images module captures several images, and storage module stores at least one threshold value.The image parameter computing module calculate each those image in a color space coordinates with the distance value of a reference point, and from those distance values, obtain one and judge parameter.Control module is compared this and is judged parameter and this threshold value, when judging parameter greater than threshold value, then control module drives white balance module and carries out an Automatic white balance and handle, and the control module counting judges the number of times of parameter less than threshold value, and adjusts according to this number of times opposite house bank value.
In addition, the present invention also proposes a kind of auto white balance control method, and it comprises the following step: capture several images; Calculate each image in a color space coordinates with the distance value of a reference point; From then on obtain one in a little distance values and judge parameter; At least one threshold value is provided; If judge parameter, then carry out Automatic white balance action greater than this threshold value; Judge the number of times of parameter in a predetermined interval inside counting, and this threshold value is adjusted according to this number of times less than threshold value.
In addition, the present invention also proposes a kind of white balance module, and it comprises an image cutting, a sharpness computing unit, a selected cell, a cumulative mean unit and a gain decision unit.Image cutting receives an image, and this image area is divided into several image block (Image Block), then, the sharpness computing unit calculates the sharpness (Sharpness) of each image block, and selects the image block of sharpness greater than a threshold value in a little since then image block of selected cell.The cumulative mean unit calculates a R mean value, a G mean value and a B mean value of pixel of the selected image block of this image, and then gain decision unit is adjusted to determine a gain according to this R mean value, this G mean value and this B mean value.
Moreover the present invention also proposes a kind of white balance method, comprises the following step: receive an image; This image area is divided into several image block; Calculate the sharpness of each image block; Select the image block of sharpness in a little since then image block greater than a threshold value; Calculate a R mean value, a G mean value and a B mean value of pixel of the selected image block of this image; Adjust to determine a gain according to R mean value, G mean value and B mean value.
Compared to prior art, the present invention utilizes and calculates the distance value of several images in color space coordinates, when the mediant of these distance values or average greater than a threshold value, then carry out an Automatic white balance and handle.Wherein, this system also can dynamically adjust threshold value, to avoid causing phenomenon of picture flicker because of carrying out Automatic white balance.Moreover white balance module of the present invention is selected adjustments that gain of the higher image block of image sharpness, causes the erroneous judgement of white balance gains (gain) to avoid monochrome (monochromatic) block.
For purpose of the present invention, structural feature and function thereof are had further understanding, conjunction with figs. is described in detail as follows now:
[description of drawings]
Fig. 1 is the calcspar of automatic white balance control system of the present invention.
Fig. 2 is the calcspar of the embodiment of automatic white balance control system of the present invention.
Fig. 3 is the schematic diagram of image segmentation of the present invention.
Fig. 4 is the flow chart of steps of auto white balance control method of the present invention.
Fig. 5 is the calcspar of white balance module of the present invention.
Fig. 6 is the flow chart of steps of white balance method of the present invention.
[embodiment]
Hereinafter with reference to relevant indicators, automatic white balance control system, its white balance module and method thereof according to preferred embodiment of the present invention are described.
See also Fig. 1, it is the schematic diagram of automatic white balance control system of the present invention.Among the figure, automatic white balance control system 1 comprises a capturing images module 10, an image parameter computing module 11, a control module 13, a white balance module 12 and a storage module 14.Storage module 14 stores a threshold value 141, capturing images module 10 is in order to capture several images 101, and image parameter computing module 11 calculate each image 101 in a color space coordinates 112 with the distance value of a reference point 113, for example the rgb value of all pixels of computed image 101 calculates the distance value between this coordinate figure and the initial point again at the coordinate figure of a Cr-Cb space coordinates.Then, image parameter computing module 11 is obtained one and is judged parameter 111 from the distance value of several consecutive images 101, for example judge that parameter 111 can be mediant of these distance values (median) or average (mean).
Control module 15 is judged parameter 111 and threshold value 141 in order to comparison, when judging that parameter 111 is greater than threshold value 141, then drives white balance module 12 and carries out an Automatic white balance and handle.And control module 15 is also counted the number of times of judgement parameter 111 less than threshold value 141, and according to the number of times of being counted threshold value 141 is adjusted.For example, storage module 14 can store numerical value and one numerical value for the second time for the first time, and for the first time numerical value greater than the numerical value second time.When control module 15 in the number of times of a predetermined interval (predetermined interval) inside counting greater than one for the first time during numerical value, represent that present threshold value 141 is excessive, can't allow automatic white balance control system 1 improve image 101 quality effectively, therefore control module 13 is turned threshold value 141 down, carries out Automatic white balance processing suitably to start white balance module 14.And when number of times less than a numerical value for the second time, represent that present threshold value 141 is too small, then control module 13 threshold value 141 is transferred big, to avoid because Automatic white balance handle and switch too frequent and cause the flickering phenomenon of image.
Above-mentioned Automatic white balance is handled and is carried out the white balance computing based on a gray scale world model (grey-world model), and the method technical field person is for this reason known, and does not repeat them here.Judge by accident owing to the auto white balance method based on the gray scale world model is subjected in the image influence of monochromatic block easily, cause the flickering phenomenon of image.Therefore, automatic white balance control system 1 also can comprise an image sampling module, in order to from image 101, selecting at least one image block (image block), and allow image parameter computing module 11 calculate the distance value of image 101 according to these selected image block.In addition, for fear of the influence of monochromatic block, the image sampling module can be selected preferable image block according to the sharpness of each image block, gives image parameter computing module 11 to calculate above-mentioned distance value to provide.The image sampling module can comprise an image cutting, sharpness computing unit and a selected cell, image cutting is in order to become image segmentation several blocks, the sharpness computing unit is in order to calculate the sharpness of each block, and for example the image border is worth or the brightness changing value.At last, selected cell is selected the sharpness block with higher allows the image parameter computing module come compute distance values, and this measure can improve the stability of automatic white balance control system 1 effectively.
Automatic white balance (AWB) control system 1 also can comprise an automatic exposure, and (it can adjust the time for exposure of capturing images module 10 according to the power of external light source for Automatic Exposure, AE) module.Therefore, threshold value 111 can be provided by the AE module, when external light source a little less than, the AE module can provide a higher threshold value, and when external light source stronger, the AE module can provide a lower threshold value, can improve the usefulness of automatic white balance control system of the present invention by this effectively.And above-mentioned image parameter computing module 13, white balance module 14, image sampling module and control module 15 preferably realize with the software mode that a microprocessor or microcontroller are carried out corresponding programs, or realize with hardware mode.Capturing images module 10 is a ccd image sensor or a cmos image sensor preferably.
See also Fig. 2, it is the schematic diagram of the embodiment of automatic white balance control system of the present invention.Among the figure, automatic white balance control system 2 comprises a cmos image sensor 20, a microprocessor 21, an internal memory 24, an image sampling program 25, an AE module 26, a white balance program 22, a control program 23 and an image parameter calculation procedure 27.Wherein, image parameter calculation procedure 27, image sampling program 25, white balance program 22 and control program 23 are stored in the internal memory 24.Microprocessor 21 can be carried out white balance program 22 and handle to carry out a white balance, and AE module 26 can provide a threshold value 241.And threshold value 241, for the first time numerical value 242 and one for the second time numerical value 243 be stored in the internal memory 24.
Cmos image sensor 20 acquisition one smooth signals also convert thereof into electrical signal, to produce a digital picture 201.Microprocessor 21 carries out image sample programs 25 are selected more suitable image block.Image sampling program 25 comprises an image cutting 251, a sharpness computing unit 252 and a selected cell 253.Image cutting 251 receives digital picture 201, and digital picture 201 divided into several image block 254 (Image Block), sharpness computing unit 252 calculates the sharpness of each image block 254, for example, comes the marginal value of computed image block 254 with shielding matrix.And select the image block of sharpness in a little since then image block of selected cell 253, and export selected image block to image parameter computing module 21 greater than a default sharpness threshold value.As shown in Figure 3, digital picture is divided into 9 image block 301 ~ 309, and image block 301,303,304 and 306 is a monochromatic block, if judging whether to carry out white balance according to these four image block handles, then judge by accident because of a little noise or a little variation of brightness easily to carry out the white balance processing or stop white balance and handle, and cause the flickering phenomenon of image.Therefore, selected cell 253 can be got rid of this four monochrome image blocks according to a default sharpness threshold value.
Then, microprocessor 21 carries out image calculation of parameter programs 27 according to R, G, the B numerical value of the pixel of these a little selected image block, calculate a coordinate figure in the Cr-Cb color space coordinates, and calculate the distance value between this coordinate figure and the initial point.Then, image parameter calculation procedure 27 with the mediant of the distance value of continuous many numbers word image 201 as judging parameter 271.Then, microprocessor 21 executive control programs 23, parameter 271 and threshold value 241 are judged in comparison, when judging that parameter 271 is greater than threshold value 241, then microprocessor 21 is carried out white balance programs 22 and is carried out Automatic white balance and handle.In addition, control program 23 is also counted and judge the number of times of parameter 271 less than threshold value 241 in a predetermined interval, if the number of times counted is greater than numerical value 242 first time, then control program 23 is transferred threshold value 241 big, if the number of times counted is less than numerical value 243 second time, then control program 23 is turned threshold value 241 down, by this to improve the stability of automatic white balance control system 2.
See also Fig. 4, it is the flow chart of steps of the embodiment of auto white balance control method of the present invention.Among the figure, the method comprises the following step:
Step 40: capture several images.
Step 41: calculate each image in a color space coordinates with the distance value of a reference point, and from the distance value of consecutive image, obtain one and judge parameter.Wherein, this color space coordinates is a Cr-Cb space coordinates, and reference point origin for this reason.Judge the parameter median or the mean value of a little distance values for this reason.
Step 42: at least one threshold value is provided.This threshold value can be provided by an AE module.
Step 43: judge that whether this judge parameter greater than this threshold value, if then execution in step 44, if not, then execution in step 45.
Step 44: carry out Automatic white balance action.
Step 45: count the number of times of this judgement parameter, and threshold value is adjusted according to number of times less than threshold value.For example when the number of times in a predetermined interval, counted greater than a numerical value for the first time, then threshold value is turned down, when in a predetermined interval indegree less than a numerical value for the second time, then threshold value is transferred big.Then re-execute step 40.
Wherein, between step 41 and step 42, also can be contained in and select at least one image block in each image, and the distance value in the step 42 is to calculate according to selected image block.And the method optionally can be selected suitable image block according to the sharpness of those image block.
See also Fig. 5, it is the schematic diagram of the embodiment of white balance module of the present invention.White balance module 50 comprises an image cutting 51, a sharpness computing unit 52, a selected cell 53, a cumulative mean unit 54 and a gain decision unit 55.Image cutting 51 is in order to receiving an image 501, and this image 501 is divided into several image block 511.Sharpness computing unit 52 is in order to calculate the sharpness of each image block 511, and for example the image border is worth, and selected cell 53 is selected the image block 531 of sharpness greater than a threshold value in these image block 511.Cumulative mean unit 54 calculates a R mean value 541, a G mean value 542 and a B mean value 543 of the pixel of selected image block 531, and gain decision unit 55 is adjusted to determine a gain according to R mean value 541, G mean value 542 and B mean value 543.This gain is adjusted and to be made the R mean value 541/G mean value 542 approximate B mean value 543/G mean values 542 of pixel of image block 531.
Wherein, when white balance module 50 was used for automatic white balance control system shown in Figure 11 and automatic white balance control system 1 and has an image sampling module, then image cutting 51, sharpness computing unit 52 and selected cell 53 can be shared with the image sampling module.
See also Fig. 6, it is the flow chart of steps of the embodiment of white balance method of the present invention.Among the figure, the method comprises the following step:
Step 60: receive an image.
Step 61: image area is divided into several image block.
Step 62: calculate the sharpness of each image block, for example the image border value.
Step 63: in these image block, select the image block of sharpness greater than a threshold value.
Step 64: a R mean value of the pixel of the selected image block in the computed image, a G mean value and a B mean value.
Step 65: adjust to determine a gain according to R mean value, G mean value and B mean value.
Claims (23)
1, a kind of automatic white balance control system is characterized in that, it comprises:
One capturing images module captures several images;
One storage module stores at least one threshold value;
One image parameter computing module, calculate each those image in a color space coordinates with the distance value of a reference point, and from those distance values, obtain one and judge parameter;
One white balance module is carried out an Automatic white balance and is handled;
One control module, compare this judgement parameter and this threshold value, when this judges parameter greater than this threshold value, then this control module drives this white balance module and carries out this Automatic white balance processing, and this control module is counted the number of times of this judgement parameter less than this threshold value, and according to this number of times this threshold value is adjusted.
2, automatic white balance control system as claimed in claim 1 is characterized in that, this judges that parameter is a mediant or a mean value of those distance values.
3, automatic white balance control system as claimed in claim 1, it is characterized in that, this system also comprises an image sampling module, selects at least one image block in each those image, and this image parameter computing module according to those selected image block to calculate this distance value.
4, automatic white balance control system as claimed in claim 3 is characterized in that, this this image area of image sampling module is divided into several image block, selects those selected image block according to the sharpness of those image block.
5, automatic white balance control system as claimed in claim 1 is characterized in that, its this capturing images module is a ccd image sensor or a cmos image sensor.
6, automatic white balance control system as claimed in claim 1 is characterized in that, also comprises an automatic exposure processing module, so that this threshold value to be provided.
7, automatic white balance control system as claimed in claim 1 is characterized in that, this reference point is an initial point of this color space coordinates.
8, automatic white balance control system as claimed in claim 1 is characterized in that, this color space coordinates is a Cr-Cb coordinate.
9, automatic white balance control system as claimed in claim 1, it is characterized in that, when this number of times greater than a numerical value for the first time, then this control module is turned this threshold value down, when number of times less than a numerical value for the second time, then this control module this threshold value is transferred big, wherein for the first time numerical value greater than this numerical value for the second time.
10, a kind of auto white balance control method is characterized in that, this method comprises the following step:
Capture several images;
Calculate each those image in a color space coordinates with the distance value of a reference point;
From those distance values, obtain one and judge parameter;
At least one threshold value is provided;
If this judges parameter greater than this threshold value, then carry out Automatic white balance action;
Count the number of times of this judgement parameter, and this threshold value is adjusted according to this number of times less than this threshold value.
11, auto white balance control method as claimed in claim 10 is characterized in that, this judges that parameter is a mediant or a mean value of those distance values.
12, auto white balance control method as claimed in claim 10 is characterized in that, this threshold value be one with the numerical value of automatic exposure parameter correlation.
13, auto white balance control method as claimed in claim 10 is characterized in that, this reference point is an initial point of this color space coordinates.
14, auto white balance control method as claimed in claim 10 is characterized in that, this color space coordinates is a Cr-Cb coordinate.
15, auto white balance control method as claimed in claim 10 is characterized in that, this method also comprises in each those image selects at least one image block, and calculates those distance values according to the selected image block of each those image.
16, auto white balance control method as claimed in claim 15 is characterized in that, this method also comprises according to the sharpness of those image block selects those selected image block.
17, auto white balance control method as claimed in claim 10, it is characterized in that, the step of this threshold value being adjusted according to this number of times also is contained in the number of times of this judgement parameter of a predetermined interval inside counting less than this threshold value, when this number of times greater than a numerical value for the first time, then this threshold value is turned down, when number of times less than a numerical value for the second time, then this threshold value is transferred big.
18, a kind of white balance module is characterized in that, this module comprises:
One image cutting receives an image, and this image area is divided into several image block;
One sharpness computing unit calculates the sharpness of each those image block;
One selected cell is selected the image block of sharpness greater than a threshold value in those image block;
One cumulative mean unit calculates a R mean value, a G mean value and the B mean value of pixel of the selected image block of this image; And
One gain decision unit is adjusted to determine a gain according to this R mean value, this G mean value and this B mean value.
19, white balance module as claimed in claim 18 is characterized in that, this gain adjustment makes this R mean value/this G mean value be similar to this B mean value/this G mean value.
20, white balance module as claimed in claim 18 is characterized in that, this sharpness is the marginal value of this image block.
21, a kind of white balance method is characterized in that, this method comprises the following step:
Receive an image;
This image area is divided into several image block;
Calculate the sharpness of each those image block;
In those image block, select the image block of sharpness greater than a threshold value;
Calculate a R mean value, a G mean value and a B mean value of pixel of the selected image block of this image;
Adjust to determine a gain according to this R mean value, this G mean value and this B mean value.
22, white balance method as claimed in claim 21 is characterized in that, this gain adjustment makes this R mean value/this G mean value be similar to this B mean value/this G mean value.
23, white balance method as claimed in claim 21 is characterized in that, this sharpness is the marginal value of this image block.
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| CN105981379A (en) * | 2014-09-17 | 2016-09-28 | 深圳市大疆创新科技有限公司 | Automatic white balancing system and method |
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| CN1941923B (en) * | 2005-09-30 | 2011-03-23 | 义晶科技股份有限公司 | Automatic white balance method for color digital image |
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| CN108419067A (en) * | 2018-06-05 | 2018-08-17 | 上海小蚁科技有限公司 | White balance parameter record, method of adjustment and device, storage medium, terminal, camera |
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