CN106952244A - The automatic adjusting method and device of a kind of brightness of image - Google Patents
The automatic adjusting method and device of a kind of brightness of image Download PDFInfo
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Abstract
The invention provides a kind of automatic adjusting method of brightness of image and device, including：The target image of pending brightness adjustment is obtained, target image includes multiple target areas and corresponding gray value is different；Influence size according to different gray values to the average gray value of target image, the weighted value of the average gray value of the gray value influence target image of pixel in each target area is adjusted respectively, makes gap of the gap less than weighted value before its adjustment of weighted value after the adjustment of at least two target areas；According to the weighted value and the gray value of matching after adjustment in each target area, the pixel grey scale average value of target image is determined；According to the pixel grey scale average value of target image and the comparative result of setting average gray value threshold value, brightness adjustment is carried out to next frame target image；It makes the available gray-scale information content in the larger small area region of shade of gray in image higher by reducing the weight of the pixel quantity statistical value corresponding to gray value larger in target image.
Description
Technical field
The present invention relates to technical field of image processing, a kind of automatic adjusting method in particular to brightness of image and
Device.
Background technology
Into 21 century, fast development and the constantly improve of correlation theory with computer technology, Digital Image Processing
Technology is in widespread attention and achieve great pioneering achievement in many application fields.And in digital image processing techniques
A kind of conventional technology is exactly the adjust automatically of brightness of image.
In correlation technique, the method for brightness of image adjust automatically is all based on gradation of image average value as adjustment benchmark,
Brightness to whole image is automatically adjusted.But this adjustment mode has limitation, is evenly distributed for gradation of image
Image, its can preferably to whole image carry out brightness adjustment；And for gradation of image image pockety, it can
Can make that the complex target of image small area adjusts is worse.
Specifically, the image being evenly distributed for gradation of image, the photo of such as one snow mountain, target object is snow mountain, whole
Target object, in bright white, is the relatively low region of shade of gray in individual image, and the region is accounted in average gray value is calculated
There is very big weighted value, calculate the gradation of image average value of the image, and using the average gray as adjustment benchmark to whole
The brightness of image is automatically adjusted, and can carry out preferable brightness adjustment to target object.And for gradation of image distribution not
Uniform image, such as a people climb the photo of snow mountain, and snow mountain is background in whole image, and the bright white of its correspondence, is gray scale
Very big weighted value is occupied in the relatively low region of gradient, the region in average gray value is calculated；Artificial target object, its brightness is inclined
It is low, it is the higher region of shade of gray, the region is smaller in the weighted value for calculating average gray value.Therefore, where target object
The average gray value of zonule can deviate from the corresponding gradation of image average value of whole image, now, based on whole image pair
The brightness of zonule, can make it that adjustment result is poor where the gradation of image average value adjustment target object answered.
Inventor has found that the method for brightness of image adjust automatically is not considered each in image in correlation technique under study for action
The problem of gradation of image skewness in individual region, this causes the method for adjustment of correlation technique to have limitation, and it can not pin
The gradation of image image pockety of regional is preferably handled.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is the automatic adjusting method and device for providing a kind of brightness of image,
It makes shade of gray in image by reducing the weight of the pixel quantity statistical value corresponding to gray value larger in target image
The available gray-scale information content in larger small area region is higher, can make the brightness adjustment to each target area in target image
As a result it is preferable.
In a first aspect, the embodiments of the invention provide a kind of automatic adjusting method of brightness of image, including：
The target image of pending brightness adjustment is obtained, the target image includes multiple target areas and this is multiple described
The gray value of pixel is different in target area；
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, respectively
Adjusting the pixel quantity in each described target area corresponding to each gray value influences the average gray value of the target image
Weighted value, the gap of weighted value after the adjustment of target area described at least two is less than the difference of weighted value before its adjustment
Away from；
According to different gray values in each described target area and corresponding to the picture after the weight adjustment of each gray value
Prime number amount, determines the pixel grey scale average value of the target image；
According to the pixel grey scale average value of the target image and the comparative result of setting average gray value threshold value, to next
Frame target image carries out brightness adjustment.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the first of first aspect, wherein, root
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, adjusts each institute respectively
The weighted value of the average gray value for the pixel quantity influence target image for corresponding to each gray value in target area is stated, is made
The gap of weighted value is less than the gap of weighted value before its adjustment after target area adjustment described at least two, including：
The distributed quantity of pixel respectively in multiple setting intensity value ranges in each described target area is counted,
Obtain corresponding to the distributed quantity of each setting intensity value ranges；
Each corresponding distributed quantity of intensity value ranges that sets is carried out at root according to the root coefficient of setting
Reason, obtains corresponding respectively to the adjustment distributed quantity of each setting intensity value ranges；Wherein, the root coefficient of the setting
Meet：The gap of the corresponding distributed quantity of setting intensity value ranges described at least two after root processing is set to adjust it less than it
Preceding gap.
With reference to the first possible embodiment of first aspect, the embodiments of the invention provide second of first aspect
Possible embodiment, wherein, according to different gray values and the power corresponding to each gray value in each described target area
Pixel quantity after recanalization, determines the pixel grey scale average value of the target image, including：
According to the adjustment distributed quantity of each setting intensity value ranges and each setting intensity value ranges pair
The gray value answered, determines the gray scale integral value of the target image；
According to the gray scale integral value of the target image and the adjustment distributed quantity of each setting intensity value ranges,
Determine the pixel grey scale average value of the target image.
With reference to the first possible embodiment of first aspect, the embodiments of the invention provide the third of first aspect
Possible embodiment, wherein, according to the pixel grey scale average value of the target image and the ratio of setting average gray value threshold value
Relatively result, brightness adjustment is carried out to next frame target image, including：
The pixel grey scale average value of the target image of determination is compared with setting average gray value threshold value；
Detect the pixel grey scale average value be unsatisfactory for it is described setting average gray value threshold value when, according to the pixel
Average gray and the difference of the setting average gray value threshold value, carry out brightness adjustment to target image described in next frame, make
The pixel grey scale average value of target image described in next frame after adjustment meets the setting average gray value threshold value.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 4th of first aspect kind, wherein, institute
The automatic adjusting method for the brightness of image stated, also includes：
Detection at least two described in target area adjustment after weighted value gap adjusted with it before weighted value difference
Away from difference result meet default disparity threshold；
When detecting the difference result less than the default disparity threshold, according to difference result and the default gap
The difference of threshold value, adjustment reduces the root coefficient of the setting；
When detecting the difference result more than the default disparity threshold, according to difference result and the default gap
The difference of threshold value, the root coefficient of the adjustment increase setting.
With reference to the 4th kind of possible embodiment of first aspect, the embodiments of the invention provide the 5th of first aspect kind
Possible embodiment, wherein, the root coefficient of the setting is more than or equal to 1.0 and is less than or equal to 10.0.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 6th of first aspect kind, wherein, institute
The automatic adjusting method for the brightness of image stated, also includes：
Obtain the continuous multiple frames target image that video camera is shot；
According to the multiple periods divided in advance, each period correspondence is extracted from continuous multiframe target image
Continuous multiple frames target image；
Continuous multiple frames target image corresponding to each period carries out the adjust automatically of brightness of image.
With reference to the 6th kind of possible embodiment of first aspect, the embodiments of the invention provide the 7th of first aspect kind
Possible embodiment, wherein, the adjust automatically of brightness of image is carried out to target image described in each period, is wrapped
Include：
At least there is one after at least one described target image in acquisition each period, the target image
The target image；
Using the target image of acquisition as the pending brightness adjustment target image.
Second aspect, the embodiment of the present invention additionally provides a kind of automatic regulating apparatus of brightness of image, including：
Acquisition module, the target image for obtaining pending brightness adjustment, the target image includes multiple target areas
The gray value of pixel is different in domain and this multiple described target area；
Adjusting module, for according to the corresponding pixel quantity of different gray values to the average gray value of the target image
Size is influenceed, the pixel quantity in each described target area corresponding to each gray value is adjusted respectively influences the target image
Average gray value weighted value, the gap of weighted value after the adjustment of target area described at least two is less than before its adjustment
The gap of weighted value；
Determining module, for according to different gray values and the power corresponding to each gray value in each described target area
Pixel quantity after recanalization, determines the pixel grey scale average value of the target image；
Brightness adjusting section, for the pixel grey scale average value according to the target image and setting average gray value threshold value
Comparative result, to next frame target image carry out brightness adjustment.
With reference to second aspect, the embodiments of the invention provide the possible embodiment of the first of second aspect, wherein, adjust
Mould preparation block, including：
Statistic unit, for counting the pixel in each described target area respectively in multiple setting intensity value ranges
Interior distributed quantity, obtains corresponding to the distributed quantity of each setting intensity value ranges；
Root processing unit, for the root coefficient according to setting to the corresponding distribution of each setting intensity value ranges
Quantity carries out root processing, obtains corresponding respectively to the adjustment distributed quantity of each setting intensity value ranges；Wherein, institute
The root coefficient for stating setting is met：Make the corresponding distributed quantity of setting intensity value ranges described at least two after root processing
Gap is less than the gap before its adjustment.
The automatic adjusting method and device of a kind of brightness of image provided in an embodiment of the present invention, with image of the prior art
The method of brightness adjust automatically can not carry out preferably processing phase for the gradation of image image pockety of regional
Than its influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, to each
The weighted value of the average gray value of pixel quantity influence target image is adjusted in target area, makes at least two target areas
The gap of weighted value is less than the gap of weighted value before its adjustment after adjustment, which reduces larger in target image correspond to
The weight of the pixel quantity statistical value of gray value, it is therefore an objective to allow the available gray-scale in the larger small area region of shade of gray in image
Information content is higher, based on different gray values in each target area and corresponding to the pixel after the weight adjustment of each gray value
Quantity, carries out brightness adjustment to next frame target image, can make the brightness adjustment knot to each target area in target image
Fruit is preferable.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 shows a kind of flow chart of the automatic adjusting method for brightness of image that the embodiment of the present invention is provided；
Fig. 2 shows the flow chart of the automatic adjusting method for another brightness of image that the embodiment of the present invention is provided；
Fig. 3 shows the flow chart of the automatic adjusting method for another brightness of image that the embodiment of the present invention is provided；
Fig. 4 shows the flow chart of the automatic adjusting method for another brightness of image that the embodiment of the present invention is provided；
Fig. 5 shows the flow chart of the automatic adjusting method for another brightness of image that the embodiment of the present invention is provided；
Fig. 6 shows the flow chart of the automatic adjusting method for another brightness of image that the embodiment of the present invention is provided；
Fig. 7 shows a kind of structural representation of the automatic regulating apparatus for brightness of image that the embodiment of the present invention is provided；
Fig. 8 shows the knot of adjusting module in the automatic regulating apparatus of brightness of image that the embodiment of the present invention is provided a kind of
Structure schematic diagram.
Icon：10th, acquisition module；20th, adjusting module；30th, determining module；40th, brightness adjusting section；201st, count single
Member；202nd, root processing unit.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
Middle accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
It is a part of embodiment of the invention, rather than whole embodiments.The present invention generally here described and illustrated in accompanying drawing is real
Applying the component of example can be arranged and be designed with a variety of configurations.Therefore, it is of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the scope of claimed invention, but is merely representative of the selected reality of the present invention
Apply example.Based on embodiments of the invention, the institute that those skilled in the art are obtained on the premise of creative work is not made
There is other embodiment, belong to the scope of protection of the invention.
At present, the adjust automatically of brightness of image generally uses gradation of image average value as adjustment benchmark.Gray scale is put down
Mean value computation can based on entire image, can also be a part of region in entire image.
The image being evenly distributed for gradation of image, existing above-mentioned regulative mode can be realized preferably to brightness of image
Adjust automatically.But, for gradation of image image pockety, such as image includes shade of gray (i.e. gray-level)
Relatively low target area and zonule include the target area of complex target, are calculating the average gray value of this kind of image
When, the relatively low target area of the former shade of gray can occupy very big weight, and the higher target of the shade of gray of the latter
Region may occupy very small weight, now, and the average gray value of the higher target area of the shade of gray of the latter will be inclined
From whole image normal gray value farther out, its effective information can be greatly lowered.The relatively low target area of above-mentioned shade of gray
Domain can include desert, lake, snow mountain of large area etc.；The higher target area of above-mentioned shade of gray can include on snow mountain
The targets such as animal, people, the woods occur that brightness is relatively low, and the ship, aedicula or other targets in lake are likely to occur bright
Situations such as Small object brightness spent in higher, desert is higher or relatively low.
Therefore, when carrying out brightness adjustment, cause the brightness adjustment of the relatively low target area of shade of gray normal, and other
The brightness adjustment of the higher target area of small area shade of gray is abnormal.
In actual piece image, the target area that the shade of gray of large area is relatively low is not user in most cases
The region of care, often the higher target area of the shade of gray of small area is user's concern.In someone's active selection region
In the case of, it can be reached using the calculating of area image average gray value and gradation of image image pockety is adjusted
Target, but in brightness of image adjust automatically application process, it can not realize preferable adjustment.
Based on above mentioned problem, the embodiments of the invention provide a kind of automatic adjusting method of brightness of image and device, below
It is described by embodiment.
The flow chart of the automatic adjusting method of brightness of image with reference to shown in Fig. 1, the embodiments of the invention provide one kind figure
The automatic adjusting method of image brightness, comprises the following steps：
S101, the target image for obtaining pending brightness adjustment, the target image includes multiple target areas and this is more
The gray value of pixel is different in the individual target area.
Above-mentioned target image includes the relatively low target area of shade of gray, also including the higher complex target area of shade of gray
Domain, the gray value of the pixel of the corresponding image in these target areas is different.
S102, the influence according to the corresponding pixel quantity of different gray values to the average gray value of the target image are big
Small, the pixel quantity in each described target area corresponding to each gray value is adjusted respectively influences being averaged for the target image
The weighted value of gray value, makes the gap of weighted value after the adjustment of target area described at least two be less than weighted value before its adjustment
Gap.
Specifically, the relatively low target area of shade of gray to calculate target image average gray value result influence compared with
Greatly, opposite, influence of the higher target area of shade of gray to calculating the result of the average gray value of target image is smaller.
In actual image, it is right in larger scope, and the region that the relatively low target area of shade of gray generally takes up
Should in the pixel quantity of each gray value result of calculation influence of the statistical value on the average gray of whole image it is larger, it is and grey
The higher complex target region of degree gradient generally takes up less scope, and the pixel quantity of each gray value is corresponded in the region
Result of calculation influence of the statistical value on the average gray of whole image it is smaller.Based on this, gray scale ladder in adjustment target image
Correspond to the weighted value of the average gray value of the pixel quantity influence target image of each gray value in the relatively low target area of degree
It is relative to diminish, correspond to the pixel quantity of each gray value in adjustment target image in the higher complex target region of shade of gray
Influence the relative change of weighted value of the average gray value of target image big, final purpose is the difference ash in different target region to be reduced
Spend the gap of the corresponding weighted value of statistical value.Gray-scale statistical value is the statistical value of the pixel quantity corresponding to different gray values.
S103, according to different gray value in each described target area and corresponding to the weight adjustment of each gray value after
Pixel quantity, determine the pixel grey scale average value of the target image.
Specifically, being adjusted according to different gray values in each described target area and the weight corresponding to each gray value
Pixel quantity afterwards, determines the gray scale integral value of the target image；According to the gray scale integral value of target image and correspond to
Pixel quantity after the weight adjustment of each gray value, determines the pixel grey scale average value of target image.
S104, the pixel grey scale average value according to the target image and the comparative result of setting average gray value threshold value,
Brightness adjustment is carried out to next frame target image.
Under normal circumstances, the target image got is continuous multiple frames, and the degree of overlapping of this multiple image is higher, will be from
The target image of a progress brightness adjustment is chosen in this multiple target image, and determines the pixel ash of the target image chosen
Average value is spent, is then compared the pixel grey scale average value of the target image with setting average gray value threshold value, due to working as
Preceding target image has been taken completing, therefore adjusts next frame target image according to above-mentioned comparative result, makes next frame mesh
The brightness of image of logo image meets sets requirement.Sets requirement herein can meet people when people's emmetropia is checked for brightness of image
Eye susceptibility preferably, that is, matches the observation degree of human eye.
If specifically, the pixel grey scale average value of the target image is less than setting average gray value threshold value, by next frame mesh
Logo image is lightened；If the pixel grey scale average value of the target image is more than setting average gray value threshold value, by next frame target figure
As dimming；If the pixel grey scale average value of the target image is within setting average gray value threshold value, determine that brightness of image expires
Sufficient sets requirement, is not handled next two field picture.
In the embodiment of the present invention, setting average gray value threshold value is that can be user according to the corresponding applied field of target image
Scape and other factors are set, and the embodiment of the present invention is not particularly limited to this., should as a kind of optional embodiment
It can be an interval range section to set average gray value threshold value.
A kind of automatic adjusting method of brightness of image provided in an embodiment of the present invention, with brightness of image of the prior art certainly
The method of dynamic adjustment can not carry out preferably processing for the gradation of image image pockety of regional and compare, its root
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, to each target area
The weighted value of the average gray value of middle pixel quantity influence target image is adjusted, and is made after at least two target areas adjust
The gap of weighted value is less than the gap of weighted value before its adjustment, which reduces the larger gray value that corresponds in target image
The weight of pixel quantity statistical value, it is therefore an objective to allow the larger small area region of shade of gray in image available gray-scale information content more
Height, it is right based on different gray values in each target area and corresponding to the pixel quantity after the weight adjustment of each gray value
Next frame target image carries out brightness adjustment, can make in target image to the brightness adjustment result of each target area compared with
It is good.
Further, with reference to Fig. 2, as a kind of embodiment, in above-mentioned steps 102, according to different gray values correspondence
Pixel quantity to the influence size of the average gray value of the target image, correspondence in each described target area is adjusted respectively
The weighted value of the average gray value of the target image is influenceed in the pixel quantity of each gray value, makes target described at least two
The gap of weighted value is less than the gap of weighted value before its adjustment after the adjustment of region, including：
S1021, point of pixel respectively in multiple setting intensity value ranges counted in each described target area
Cloth quantity, obtains corresponding to the distributed quantity of each setting intensity value ranges.
It is used as a kind of optional embodiment, gray value of the embodiment of the present invention previously according to pixel in the target image
Scope determines multiple setting intensity value ranges, specifically, arranging the gray scale of pixel in target image in the way of from small to large
Value, is expressed as the first gray value, the second gray value ... n-th gray value, and N is positive integer；Then, by origin and first
Gray value is as the first setting intensity value ranges, using the first gray value and the second gray value as the second setting intensity value ranges,
The like, obtain multiple setting intensity value ranges.
Then the distribution of pixel respectively in multiple setting intensity value ranges in each described target area is counted
Quantity, so that the later stage is handled the distributed quantity.
As a kind of optional embodiment, each described mesh is counted by histogrammic mode in the embodiment of the present invention
Mark the distributed quantity of pixel respectively in multiple setting intensity value ranges in region.Specifically, making multiple setting gray values
In the range of correspond to histogram respectively, and represent pixel in each described target area respectively in multiple settings by histogram
Distributed quantity in intensity value ranges.
S1022, according to the root coefficient of setting the corresponding distributed quantity of each setting intensity value ranges is carried out
Root processing, obtains corresponding respectively to the adjustment distributed quantity of each setting intensity value ranges；Wherein, the side of the setting
Root system number is met：The gap of the corresponding distributed quantity of setting intensity value ranges described at least two after root processing is set to be less than it
Gap before adjustment.
Specifically, root processing is evolution processing, root coefficient is the specific power exponent for carrying out evolution processing；The present invention
In embodiment, according to the root coefficient of setting, each corresponding distributed quantity of setting intensity value ranges is carried out at root
Reason, wherein, in the single treatment of a target image, each corresponding root coefficient all same of setting intensity value ranges,
Handled for the root that each setting intensity value ranges corresponding distributed quantity such as carries out at the coefficient, obtain corresponding respectively to every
Distributed quantity after the adjustment of the individual setting intensity value ranges, is used as adjustment distributed quantity.
In the embodiment of the present invention, the root coefficient of above-mentioned setting be user according to the corresponding application scenarios of target image and
Other factors are set, and it needs to meet following condition, even if at least two setting intensity value ranges pair after root processing
The gap for the distributed quantity answered is less than the gap before its adjustment, is meeting within above-mentioned condition, the embodiment of the present invention is not to it
Do concrete restriction.
For the histogram for the statistical distribution for representing each gray value, in the statistical distribution quantity progress to each gray value
After root processing, obtain in a new histogram, new histogram, abscissa represents each corresponding gray value, indulged
The root result of the statistical distribution quantity of the corresponding pixel of each gray value of coordinate representation.
During the embodiment of the present invention is provided, pass through the statistical distribution number to the pixel in each target area in histogram
Amount carries out root processing, changes weight of a certain gray value in average gray in each target area, to change average ash
The result of calculation of angle value.Also, the root coefficient of setting is smaller, and a certain grey value histograms statistical value is bigger in the picture,
Weight after root can drastically reduce.
Further, with reference to Fig. 3, in the automatic adjusting method of brightness of image provided in an embodiment of the present invention, step 103,
Pixel quantity after being adjusted according to different gray values in each described target area and the weight corresponding to each gray value, really
The pixel grey scale average value of the fixed target image, including：
S1031, adjustment distributed quantity and each setting gray value according to each setting intensity value ranges
The corresponding gray value of scope, determines the gray scale integral value of the target image.
In the embodiment of the present invention, the gray value for representing pixel in the target area by distributed quantity influences the target
The weight of the average gray value of image.
After distributed quantity is adjusted, the adjustment distributed quantity of each setting intensity value ranges and each setting are calculated
The product of the corresponding gray value of intensity value ranges, and the product of all setting intensity value ranges is summed, it is used as target image
Gray scale integral value.
S1032, the gray scale integral value according to the target image and each setting intensity value ranges adjustment point
Cloth quantity, determines the pixel grey scale average value of the target image.
To each setting intensity value ranges adjustment distributed quantity summation, summed result is obtained, target image is utilized
Gray scale integral value divided by summed result, you can calculate the pixel grey scale average value for obtaining target image.
With reference to step 1031- steps 1032, for target image, the pixel of the target image is represented in the matrix form, as
Plain representing matrix is that m rows and n are arranged, and the gray value of pixel is N；When the root coefficient set is 1, the pixel ash of target image
Degree average value computing formula be：Wherein, VagRepresent the pixel grey scale average value of target image；
Vg=(i, j) represents the gray value of the pixel of the corresponding i-th row jth row of the picture element matrix of target image.
When the root coefficient of setting is more than 1, according to formulaDetermine the target
The pixel grey scale average value of image；Wherein, Vag' represent the gradation of image average value after root；SumkRepresent gray scale in image
All pixels number of the value equal to k；K values are 1~2N；N is the gray value of pixel.
In the embodiment of the present invention, the calculating of the pixel grey scale average value of the target image after being handled by root is reduced
The high weight of gray-scale statistical value in image, goes to adjust the mean flow rate of image, it is therefore an objective to allow according to the average gray value of root
The available gray-scale information content in the larger small area region of shade of gray is higher in image.
Further, with reference to Fig. 4, in the automatic adjusting method of brightness of image provided in an embodiment of the present invention, step 104,
According to the pixel grey scale average value of the target image and the comparative result of setting average gray value threshold value, to next frame target figure
As carrying out brightness adjustment, including：
S1041, by the pixel grey scale average value of the target image of determination with setting average gray value threshold value compared
Compared with.
As a kind of optional embodiment, average gray value threshold value is set as an interval range section；Judge target
Whether the pixel grey scale average value of image is in above range section, if no longer above range section is interior, by the pixel of target image
Average gray is compared with the minimum value of range section with maximum respectively, and basic comparative result is to target figure described in next frame
As carrying out brightness adjustment.
S1042, detect the pixel grey scale average value be unsatisfactory for it is described setting average gray value threshold value when, according to institute
Pixel grey scale average value and the difference of the setting average gray value threshold value are stated, brightness tune is carried out to target image described in next frame
It is whole, the pixel grey scale average value of target image described in the next frame after adjustment is met the setting average gray value threshold value.
If specifically, the pixel grey scale average value of the target image is in above range section, determining current target image
Brightness is normal, is adjusted without the brightness to next two field picture.If the pixel grey scale average value of the target image is not in
State in range section, it is necessary to next frame target image progress brightness adjustment, make the pixel ash of the next frame target image after adjustment
Spend average value to be in the corresponding range section of setting average gray value threshold value, so that the brightness of image for making next frame target image expires
Sufficient sets requirement.
Specific method of adjustment includes：Continuation is compared the pixel grey scale average value of target image with the most value in range section
Compared with if less than minimum value, next frame target image is lightened；If more than maximum, next frame target image is dimmed.
In the embodiment of the present invention, the specific method that next two field picture carries out brightness regulation is included：It is straight according to new gray scale
Side's figure calculates average gray value, starts to adjust the exposure parameter of camera, such as lens aperture size of adjustment camera, the exposure of camera
Time, camera gain etc., the regulation of exposure parameter can use quick approximatioss or at a slow speed approximatioss；
Quick approximatioss is according to pixel average gray value and setting average gray value threshold value (setting average gray value threshold
Value is that the normal average gray value of brightness of image is interval) difference, calculate needed for next frame target image reaches normal exposure
The exposure parameter size to be adjusted, can so realize and allow next two field picture to reach that exposure is normal as early as possible；Advantage is governing speed
It hurry up, have the disadvantage it is possible that brightness regulation is shaken；
Approximatioss is according to pixel average gray value and setting average gray value threshold value (setting average gray value threshold at a slow speed
Value is that the normal average gray value of brightness of image is interval) difference, exposed by step-type mode in multiple successive objective images
Realize that exposure is normal in light regulation, advantage is that consecutive image brightness regulation is smooth, and the brightness for visually feeling image is progressively to become
Change, have the disadvantage may governing speed it is slower；
The embodiment of the present invention is to combine the quick advantage for adjusting and adjusting at a slow speed by the way of, according to the need of practical application
Will, select suitable velocity of approch.
Further, with reference to Fig. 5, in the automatic adjusting method of brightness of image provided in an embodiment of the present invention, also include：
The gap and its weighted value before adjusting of weighted value after target area adjustment described in S201, detection at least two
The difference result of gap meet default disparity threshold.
S202, detect the difference result less than the default disparity threshold when, according to difference result with it is described pre-
If the difference of disparity threshold, adjustment reduces the root coefficient of the setting.
S203, detect the difference result more than the default disparity threshold when, according to difference result with it is described pre-
If the difference of disparity threshold, the root coefficient of the adjustment increase setting.
With reference to step 201- steps 203, by adjusting the corresponding weighted value in the target area in the embodiment of the present invention, and
Whether the comparative result of the gap of the weighted value in two regions before judging adjustment and after adjustment judges target image
For equilibrium figures picture；If the ratio of the gap of the weighted value in target image before the adjustment of any two target area and after adjustment
Relatively result is less than default disparity threshold, and it is equilibrium figures picture to determine target image；If any two target area is adjusted in target image
The comparative result of the gap of whole weighted value before and after adjustment is more than default disparity threshold, and it is non-equal to determine target image
Weigh image.
When it is determined that target image be equilibrium figures picture, illustrate the grey value profile of the pixel of the target area of each in target image
More uniform, now, according to difference result and the difference of the default disparity threshold, adjustment reduces the root coefficient of setting, i.e., most
Amount reduces the power exponent that evolution is carried out to the corresponding distributed quantity of each gray value.When it is determined that target image be lack of balance image,
Illustrate that the grey value profile of the pixel of the target area of each in target image is uneven and difference is bigger, now, according to difference knot
Fruit and the difference of the default disparity threshold, the root coefficient of adjustment increase setting, i.e., increase divides each gray value as far as possible
Cloth quantity carries out the power exponent of evolution, and pixel of the corresponding distributed quantity of different gray values to whole image is adjusted to go into overdrive
The weighing factor of average gray.
In the embodiment of the present invention, the root coefficient (being properly termed as root weight) of setting is expressed as t, and it is small that t is more than or equal to 1.0
It is smaller in the value equal to 10.0, t, illustrate image be lack of balance image, in a certain grey value histograms statistical value it is bigger, in side
Weight after root can drastically reduce；T value is smaller, illustrates in image about close to equilibrium figures picture.
Further, with reference to Fig. 6, in the automatic adjusting method of brightness of image provided in an embodiment of the present invention, also include：
S301, the continuous multiple frames target image for obtaining video camera shooting.
S302, according to the multiple periods divided in advance, each time is extracted from continuous multiframe target image
The corresponding continuous multiple frames target image of section.
In the embodiment of the present invention, video camera can shoot continuous multiple frames target image in 1 second, this multiframe now shown
Dynamic target image, because the eyes of user have the persistence of vision, this multiple image that actually user sees is one quiet
Image only.The purpose of the embodiment of the present invention seeks to seem user the brightness of static target image meets human eye and checked
Sets requirement.
Therefore, the embodiment of the present invention divides the period in advance, each period of division is met following condition：The time
The static target image that the continuous multiple frames target image that section includes is seen for user.
S303, the adjust automatically for carrying out to corresponding continuous multiple frames target image of each period brightness of image.
In order to ensure that the target image brightness that user sees meets the requirements, in each period in the embodiment of the present invention
Continuous multiple frames target image carries out brightness adjustment processing.Specific adjustment processing method includes：Obtain in each period
At least there is a target image after at least one described target image, the target image.By the mesh of acquisition
Logo image as the pending brightness adjustment target image.
A kind of automatic adjusting method of brightness of image provided in an embodiment of the present invention, with brightness of image of the prior art certainly
The method of dynamic adjustment can not carry out preferably processing for the gradation of image image pockety of regional and compare, its root
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, to each target area
The weighted value of the average gray value of middle pixel quantity influence target image is adjusted, and is made after at least two target areas adjust
The gap of weighted value is less than the gap of weighted value before its adjustment, which reduces the larger gray value that corresponds in target image
The weight of pixel quantity statistical value, it is therefore an objective to allow the larger small area region of shade of gray in image available gray-scale information content more
Height, it is right based on different gray values in each target area and corresponding to the pixel quantity after the weight adjustment of each gray value
Next frame target image carries out brightness adjustment, can make in target image to the brightness adjustment result of each target area compared with
It is good.
A kind of automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, with reference to Fig. 7, described device is used to perform
The automatic adjusting method of described image brightness, described device includes：
Acquisition module 10, the target image for obtaining pending brightness adjustment, the target image includes multiple targets
The gray value of pixel is different in region and this multiple described target area；
Adjusting module 20, for according to average gray value of the corresponding pixel quantity of different gray values to the target image
Influence size, the pixel quantity in each described target area corresponding to each gray value is adjusted respectively influences the target figure
The weighted value of the average gray value of picture, makes the gap of weighted value after the adjustment of target area described at least two adjust it less than it
The gap of preceding weighted value；
Determining module 30, for according to different gray values in each described target area and corresponding to each gray value
Pixel quantity after weight adjustment, determines the pixel grey scale average value of the target image；
Brightness adjusting section 40, for the pixel grey scale average value according to the target image and setting average gray value threshold
The comparative result of value, brightness adjustment is carried out to next frame target image.
Further, with reference to Fig. 8, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, adjusting module 20,
Including：
Statistic unit 201, for counting the pixel in each described target area respectively in multiple setting gray values
In the range of distributed quantity, obtain corresponding to the distributed quantity of each setting intensity value ranges；
Root processing unit 202, it is corresponding to each setting intensity value ranges for the root coefficient according to setting
Distributed quantity carries out root processing, obtains corresponding respectively to the adjustment distributed quantity of each setting intensity value ranges；Its
In, the root coefficient of the setting is met：Make the corresponding distribution of setting intensity value ranges described at least two after root processing
The gap of quantity is less than the gap before its adjustment
Further, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, determining module 30, including：
First determining unit, for the adjustment distributed quantity according to each setting intensity value ranges and each described
The corresponding gray value of intensity value ranges is set, the gray scale integral value of the target image is determined；
Second determining unit, for the gray scale integral value according to the target image and each setting gray value model
The adjustment distributed quantity enclosed, determines the pixel grey scale average value of the target image.
Further, in the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, brightness adjusting section 40, bag
Include：
Comparing unit, for by the pixel grey scale average value of the target image of determination with setting average gray value threshold value
It is compared；
Brightness adjustment unit, for detect the pixel grey scale average value be unsatisfactory for it is described setting average gray value threshold
During value, according to the pixel grey scale average value and the difference of the setting average gray value threshold value, to target figure described in next frame
As carrying out brightness adjustment, the pixel grey scale average value of target image described in the next frame after adjustment is set to meet the average ash of the setting
Angle value threshold value.
Further, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, also includes：
Detection module, for before detecting that the gap of the weighted value after target area adjustment described at least two is adjusted with it
The difference result of gap of weighted value meet default disparity threshold；
First adjusting module, for when detecting the difference result less than the default disparity threshold, according to difference
As a result with the difference of the default disparity threshold, adjustment reduces the root coefficient of the setting；
Second adjusting module, for when detecting the difference result more than the default disparity threshold, according to difference
As a result with the difference of the default disparity threshold, the root coefficient of the adjustment increase setting.
Further, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, the root coefficient of the setting
It is less than or equal to 10.0 more than or equal to 1.0.
Further, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, also includes：
Acquisition module, the continuous multiple frames target image for obtaining video camera shooting；
Abstraction module, for according to the multiple periods divided in advance, being extracted from continuous multiframe target image each
Period corresponding continuous multiple frames target image；
Automatic regulating module, for carrying out brightness of image to corresponding continuous multiple frames target image of each period
Adjust automatically.
Further, the automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, automatic regulating module, including：
Acquiring unit, for obtaining at least one described target image in each period, the target image it
At least there is a target image afterwards；
Setting unit, for using the target image of acquisition as the pending brightness adjustment target image.
A kind of automatic regulating apparatus of brightness of image provided in an embodiment of the present invention, with brightness of image of the prior art certainly
The method of dynamic adjustment can not carry out preferably processing for the gradation of image image pockety of regional and compare, its root
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, to each target area
The weighted value of the average gray value of middle pixel quantity influence target image is adjusted, and is made after at least two target areas adjust
The gap of weighted value is less than the gap of weighted value before its adjustment, which reduces the larger gray value that corresponds in target image
The weight of pixel quantity statistical value, it is therefore an objective to allow the larger small area region of shade of gray in image available gray-scale information content more
Height, it is right based on different gray values in each target area and corresponding to the pixel quantity after the weight adjustment of each gray value
Next frame target image carries out brightness adjustment, can make in target image to the brightness adjustment result of each target area compared with
It is good.
The automatic regulating apparatus for the brightness of image that the embodiment of the present invention is provided can for the specific hardware in equipment or
Software or firmware for being installed in equipment etc..The technology effect of the device that the embodiment of the present invention is provided, its realization principle and generation
Fruit is identical with preceding method embodiment, to briefly describe, and device embodiment part does not refer to part, refers to preceding method implementation
Corresponding contents in example.It is apparent to those skilled in the art that, it is for convenience and simplicity of description, described above
The specific work process of system, device and unit, may be referred to the corresponding process in above method embodiment, no longer go to live in the household of one's in-laws on getting married herein
State.
, can be by others side in embodiment provided by the present invention, it should be understood that disclosed apparatus and method
Formula is realized.Device embodiment described above is only schematical, for example, the division of the unit, only one kind are patrolled
Collect function to divide, there can be other dividing mode when actually realizing, but for example, multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed each other
Coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication link of device or unit by some communication interfaces
Connect, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in the embodiment that the present invention is provided can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units it is integrated in a unit.
If the function is realized using in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are make it that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each of the invention embodiment methods described.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined in individual accompanying drawing, then it further need not be defined and explained in subsequent accompanying drawing, in addition, term " the
One ", " second ", " the 3rd " etc. are only used for distinguishing description, and it is not intended that indicating or implying relative importance.
Finally it should be noted that：Embodiment described above, is only the embodiment of the present invention, to illustrate the present invention
Technical scheme, rather than its limitations, protection scope of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, it will be understood by those within the art that：Any one skilled in the art
The invention discloses technical scope in, it can still modify to the technical scheme described in previous embodiment or can be light
Change is readily conceivable that, or equivalent is carried out to which part technical characteristic；And these modifications, change or replacement, do not make
The essence of appropriate technical solution departs from the spirit and scope of embodiment of the present invention technical scheme.The protection in the present invention should all be covered
Within the scope of.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of automatic adjusting method of brightness of image, it is characterised in that including：
The target image of pending brightness adjustment is obtained, the target image includes multiple target areas and this multiple described target
The gray value of pixel is different in region；
Influence size according to the corresponding pixel quantity of different gray values to the average gray value of the target image, is adjusted respectively
Pixel quantity in each described target area corresponding to each gray value influences the power of the average gray value of the target image
Weight values, make gap of the gap less than weighted value before its adjustment of weighted value after target area adjustment described at least two；
According to different gray values in each described target area and corresponding to the pixel count after the weight adjustment of each gray value
Amount, determines the pixel grey scale average value of the target image；
According to the pixel grey scale average value of the target image and the comparative result of setting average gray value threshold value, to next frame mesh
Logo image carries out brightness adjustment.
2. the automatic adjusting method of brightness of image according to claim 1, it is characterised in that according to different gray values correspondence
Pixel quantity to the influence size of the average gray value of the target image, correspondence in each described target area is adjusted respectively
The weighted value of the average gray value of the target image is influenceed in the pixel quantity of each gray value, makes target described at least two
The gap of weighted value is less than the gap of weighted value before its adjustment after the adjustment of region, including：
The distributed quantity of pixel respectively in multiple setting intensity value ranges in each described target area is counted, is obtained
Corresponding to the distributed quantity of each setting intensity value ranges；
Root processing is carried out to each corresponding distributed quantity of intensity value ranges that sets according to the root coefficient of setting, obtained
To the adjustment distributed quantity for corresponding respectively to each setting intensity value ranges；Wherein, the root coefficient of the setting is met：
The gap of the corresponding distributed quantity of setting intensity value ranges described at least two after root processing is set to be less than before its adjustment
Gap.
3. the automatic adjusting method of brightness of image according to claim 2, it is characterised in that according to each target area
Pixel quantity after different gray values and the weight corresponding to each gray value are adjusted in domain, determines the picture of the target image
Plain average gray, including：
It is corresponding according to the adjustment distributed quantity of each setting intensity value ranges and each setting intensity value ranges
Gray value, determines the gray scale integral value of the target image；
According to the gray scale integral value of the target image and the adjustment distributed quantity of each setting intensity value ranges, it is determined that
The pixel grey scale average value of the target image.
4. the automatic adjusting method of brightness of image according to claim 2, it is characterised in that according to the target image
Pixel grey scale average value and the comparative result of setting average gray value threshold value, brightness adjustment, bag are carried out to next frame target image
Include：
The pixel grey scale average value of the target image of determination is compared with setting average gray value threshold value；
Detect the pixel grey scale average value be unsatisfactory for it is described setting average gray value threshold value when, according to the pixel grey scale
Average value and the difference of the setting average gray value threshold value, carry out brightness adjustment to target image described in next frame, make adjustment
The pixel grey scale average value of target image described in next frame afterwards meets the setting average gray value threshold value.
5. the automatic adjusting method of brightness of image according to claim 1, it is characterised in that also include：
The gap of weighted value after target area adjustment described in detection at least two adjusted with it before weighted value gap
Difference result meets default disparity threshold；
When detecting the difference result less than the default disparity threshold, according to difference result and the default disparity threshold
Difference, adjustment reduces the root coefficient of the setting；
When detecting the difference result more than the default disparity threshold, according to difference result and the default disparity threshold
Difference, the root coefficient of the adjustment increase setting.
6. the automatic adjusting method of brightness of image according to claim 5, it is characterised in that the root coefficient of the setting
It is less than or equal to 10.0 more than or equal to 1.0.
7. the automatic adjusting method of brightness of image according to claim 1, it is characterised in that characterized in that, also including：
Obtain the continuous multiple frames target image that video camera is shot；
According to the multiple periods divided in advance, corresponding company of each period is extracted from continuous multiframe target image
Continuous multiframe target image；
Continuous multiple frames target image corresponding to each period carries out the adjust automatically of brightness of image.
8. the automatic adjusting method of brightness of image according to claim 7, it is characterised in that in each period
The target image carries out the adjust automatically of brightness of image, including：
At least exist described in one after at least one described target image in acquisition each period, the target image
Target image；
Using the target image of acquisition as the pending brightness adjustment target image.
9. a kind of automatic regulating apparatus of brightness of image, it is characterised in that including：
Acquisition module, the target image for obtaining pending brightness adjustment, the target image include multiple target areas and
The gray value of pixel is different in this multiple described target area；
Adjusting module, for the influence according to the corresponding pixel quantity of different gray values to the average gray value of the target image
Size, the pixel quantity in each described target area corresponding to each gray value is adjusted respectively influences the flat of the target image
The weighted value of equal gray value, makes the gap of weighted value after target area adjustment described at least two be less than weight before its adjustment
The gap of value；
Determining module, for being adjusted according to different gray values in each described target area and the weight corresponding to each gray value
Pixel quantity after whole, determines the pixel grey scale average value of the target image；
Brightness adjusting section, for the pixel grey scale average value according to the target image and the ratio of setting average gray value threshold value
Relatively result, brightness adjustment is carried out to next frame target image.
10. the automatic regulating apparatus of brightness of image according to claim 9, it is characterised in that adjusting module, including：
Statistic unit, sets in intensity value ranges multiple respectively for counting the pixel in each described target area
Distributed quantity, obtains corresponding to the distributed quantity of each setting intensity value ranges；
Root processing unit, for the root coefficient according to setting to the corresponding distributed quantity of each setting intensity value ranges
Root processing is carried out, obtains corresponding respectively to the adjustment distributed quantity of each setting intensity value ranges；Wherein, it is described to set
Fixed root coefficient is met：Make the gap of the corresponding distributed quantity of setting intensity value ranges described at least two after root processing
Less than the gap before its adjustment.
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