CN106791475A - Exposure adjustment method and the vehicle mounted imaging apparatus being applicable - Google Patents
Exposure adjustment method and the vehicle mounted imaging apparatus being applicable Download PDFInfo
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- CN106791475A CN106791475A CN201710049731.9A CN201710049731A CN106791475A CN 106791475 A CN106791475 A CN 106791475A CN 201710049731 A CN201710049731 A CN 201710049731A CN 106791475 A CN106791475 A CN 106791475A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/72—Combination of two or more compensation controls
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/57—Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
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Abstract
The invention discloses a kind of exposure adjustment method and the vehicle mounted imaging apparatus being applicable.Wherein, methods described includes：Acquisition presets the first monochrome information of region-of-interest and second monochrome information in non-interesting region in absorbing image；The exposure Adjusted Option of the camera head is determined based on first monochrome information and the second monochrome information；After adjustment is exposed according to identified exposure Adjusted Option, reacquire first monochrome information and with the second monochrome information.It is of the invention effectively to solve the problems, such as that the high dynamic such as vehicle mounted imaging apparatus camera head changes complex environment hypograph poor definition in light.
Description
Technical field
The present embodiments relate to image processing techniques, more particularly to a kind of exposure adjustment method and vehicle-mounted taking the photograph of being applicable
As device.
Background technology
Vehicle mounted imaging apparatus are recorded mainly for the data in driving conditions, vehicle-mounted with the gradually popularization of automobile
Camera head is increasingly becoming car accessories, and each details in vehicle mounted imaging apparatus record driving conditions is judging unexpected
Effective evidence can be provided when generation traffic accident, facilitate the claim of judgement and the insurance of accident.On this basis, car
Auxiliary drive and automatic Pilot need vehicle mounted imaging apparatus to provide clearly image information for CPU.
Because car can be influenceed by different factors in use in camera head：1) traveling process exist it is various not
Determine scene, such as day and night, illumination, misty rain, the influence of the factor such as season；2) shot in the scene of HDR, collection
To data be limited to camera head dynamic range in itself and there is image section region brightness is over-exposed or brightness of image
It is under-exposed；3) every trade crosses the change of journey Scene, the brightness such as traveling in the turnover of car light, tunnel, the woods particularly at night
The violent scene of change, it is desirable to which brilliance control change can be quickly and accurate.
Traditional vehicle mounted imaging apparatus, in automatic exposure, are a stationary values as mesh generally with image overall brightness all the time
Mark, the image for high dynamic scene is such as exposed using this mode come adjust automatically, easily in the presence of the too high drawn game of a large amount of local luminances
The situation of portion's luminance shortage, so leads to not collect effective image information.
The content of the invention
The present invention provides a kind of exposure adjustment method and the vehicle mounted imaging apparatus being applicable, to realize that vehicle mounted imaging apparatus exist
Adjust automatically exposure under high dynamic scene, with the purpose of the information of getting a distinct image.
In a first aspect, a kind of exposure adjustment method is the embodiment of the invention provides, for camera head, including：Obtain institute
The first monochrome information of region-of-interest and second monochrome information in non-interesting region are preset in intake image；It is bright based on described first
Degree information and the second monochrome information determine the exposure Adjusted Option of the camera head；According to identified exposure Adjusted Option
After being exposed adjustment, reacquire first monochrome information and with the second monochrome information.
Second aspect, the embodiment of the present invention additionally provides a kind of vehicle mounted imaging apparatus, including：Optical unit, for by institute
The light of intake carries out imaging, to obtain image；And, exposure adjusting unit connects the optical unit, for passing through
Method as described above is performed, at least described exposure control module of control performs corresponding exposure Adjusted Option.
The present invention by dividing region-of-interest in the image that is absorbed in vehicle mounted imaging apparatus, and based on region-of-interest the
The luminance evaluation of second monochrome information in one monochrome information and non-interesting region, carries out tending to enable region-of-interest image clear
The exposure Adjusted Option of acquisition, effectively solves the high dynamic camera heads such as vehicle mounted imaging apparatus and changes under complex environment in light
The problem of poor in image definition.
Brief description of the drawings
Fig. 1 is exposure adjustment method flow chart in one embodiment in the embodiment of the present invention one；
Fig. 2 is exposure adjustment method in the embodiment of the present invention one flow chart in another embodiment；
Fig. 3 is exposure adjustment method in the embodiment of the present invention one flow chart in yet another embodiment；
Fig. 4 is a kind of structural representation of implementation method of the vehicle mounted imaging apparatus in the embodiment of the present invention two；
Fig. 5 is the structural representation of the another implementation method of the vehicle mounted imaging apparatus in the embodiment of the present invention two.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part rather than entire infrastructure related to the present invention is illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is the flow chart of the exposure adjustment method that the embodiment of the present invention one is provided, and the present embodiment is applicable to car and is taking the photograph
As device be based on brightness of image change and perform exposure Adjusted Option situation, its object is to ensure vehicle mounted imaging apparatus or its
The image information that successive image is processed is easy in his high dynamic camera head intake.The method can be by installed in vehicle mounted imaging apparatus
In picture processing chip perform, specifically include following steps：
Step S110, acquisition absorb second of the first monochrome information of default region-of-interest and non-interesting region in image
Monochrome information.
Wherein, the region-of-interest can be image-region set in advance, and its quantity can be one or more, described
Region-of-interest processes most frequent region part when being normally based on image procossing.In some embodiments, will can be absorbed
Image carry out image-region division, and will be covered with the image-region of most frequent region part and be defined as region-of-interest, institute
State image-region of the image in addition to region-of-interest and be set to non-interesting region, for example, the image that will be absorbed is divided into the area of n*n
Domain, and wherein at least one region is set as region-of-interest, other regions are non-interesting region.In certain embodiments, institute
Default region-of-interest concentrates road surface part in the picture in the image of intake.The region-of-interest can also be identification in advance
, for example, identification in advance is divided into road surface characteristic in some image-regions, and by the image district comprising the road surface characteristic
Domain is defined as the region-of-interest.
In order to protrude the exposure sensitivity of region-of-interest, each region for being divided to image in some embodiments is carried out
The demarcation of weight coefficient.Here, the weight coefficient can be set in advance, for example, the weight coefficient phase of each region-of-interest
Together and more than the weight coefficient in non-interesting region.And for example, the power of each region-of-interest is set according to default distribution (such as Gaussian Profile)
Weight coefficient and the weight coefficient in each non-interesting region.
First monochrome information and the second monochrome information can be the average brightness of respective regions.In some embodiment party
In formula, based on the weight coefficient of default region-of-interest, each pixel of the correspondence region-of-interest is entered in the image that will be absorbed
Weighted average of the row based on brightness is processed, to obtain the first monochrome information；And, the weight system based on default non-interesting region
Number, each pixel in non-interesting region is weighted average treatment in the image that will be absorbed, to obtain the second monochrome information.For example
Default region-of-interest is multiple, and the weight coefficient of each region-of-interest is different, and the weight coefficient in non-interesting region is identical, then will be every
Pixel intensity carries out brightness statistics in individual concern area, and the brightness value weighted average of each region-of-interest is obtained into first brightness
Information, equally, brightness statistics is carried out to pixel intensity in each non-interesting region, and the brightness value weighting in each non-interesting region is flat
Obtain second monochrome information.
Step S120, the exposure adjustment that the camera head is determined based on first monochrome information and the second monochrome information
Scheme.
Specifically, for the region-of-interest and the brightness of entire image of monitoring image, it is selected to capture clearly
The image of region-of-interest, this step can be by first monochrome information and the second monochrome information and default exposure regularization condition
Matched, and exposure, and corresponding exposure Adjusted Option are determined whether according to matching result.Wherein, the exposure adjustment
Scheme includes：At least one in adjustment time for exposure, aperture and gain.
In order to stress adjustable strategies of the region-of-interest in entire image, in some embodiments, step S120 includes：
Step S121, S122 and S123 (not in diagram).
Step S121, the average brightness value that entire image is calculated based on first monochrome information and the second monochrome information.
Step S122, by the average brightness value and first monochrome information respectively with it is default exposure regularization condition enter
Row matching.
Step S123, the exposure Adjusted Option that the camera head is determined based on matching result.
Here, the exposure regularization condition includes object brightness interval [TARGET_L, TARGET_H], the exposure adjustment
Scheme, can be corresponding with every kind of matching result for various.Wherein, when first monochrome information and average brightness value are respectively positioned on institute
State object brightness interval interior, be then not exposed adjustment.In first monochrome information and average brightness value at least one
It is individual not fall within when in the object brightness interval, according to the first monochrome information not fallen within the object brightness interval and averagely
The combination of brightness value, determines the exposure Adjusted Option of the camera head.
For example, when matching result is：First monochrome information (ATT_AVG) is higher than object brightness high threshold (TARGET_
H) and the average brightness value (AVG) be higher than object brightness high threshold (TARGET_H), or, ATT_AVG falls into object brightness
Interval interior and AVG is higher than TARGET_H, then corresponding exposure Adjusted Option is：The first monochrome information after adjustment is ensured still exists
In the case of in object brightness is interval, time for exposure or gain are reduced, in some embodiments, can be according to gain, exposure
The priority of time and aperture is adjusted step by step.
And for example, when matching result is：First monochrome information (ATT_AVG) is less than object brightness Low threshold (TARGET_
) and the average brightness value (AVG) is less than object brightness Low threshold (TARGET_L), or ATT_AVG falls into object brightness area L
Interior and AVG is less than TARGET_L, then corresponding exposure Adjusted Option is：The first monochrome information after adjustment is ensured is still in mesh
Mark brightness section in the case of, improve time for exposure or gain, in some embodiments, can according to aperture, exposure when
Between and the priority of gain adjust step by step.
When matching result is different from above-mentioned various situations, corresponding exposure Adjusted Option is also corresponding complicated.At some
In implementation method, the exposure Adjusted Option comprises the following steps S124, S125 and S126, as shown in Figure 2.
The brightness gap value of step S124, statistics entire image compared to region-of-interest.
Step S125, fallen into inside or outside default luminance difference threshold interval based on the brightness gap value, it is determined that treating
Adjustment region reference brightness before adjustment.
Step S126, by adjusting at least one in time for exposure, aperture and gain, the reference brightness is adjusted to
Default object brightness.
Specifically, calculating the brightness value and the luminance mean value (ATT_ of each region-of-interest in each region for being divided respectively
AVG difference (Block_Diff)i), then all differences are taken absolute value and sued for peace, obtain the sum of difference
When difference and (Sum_Diff) are less than the luminance difference threshold value low threshold (T for setting1), the average bright of general image is set
Influence coefficient (the K of degree1=1), and the influence coefficient (K that the mean flow rate of region-of-interest is set2=0)；Automatic exposure is in general
Logical scene carries out brilliance control with whole image array data, only with the mean flow rate (AVG) of image array data as ginseng
Brightness is examined, the adjustment of automatic exposure is carried out.
When difference and (Sum_Diff) are more than the luminance difference threshold value high threshold (T for setting2), the average bright of general image is set
Influence coefficient (the K of degree1=0), and the influence coefficient (K of the mean flow rate of region-of-interest is set2=1), automatic exposure cannot be simultaneously
Take into account the brilliance control of whole image array data and region-of-interest image array data.Only with the pattern matrix of region-of-interest
The mean flow rate (ATT_AVG) of data carries out the adjustment of automatic exposure as reference brightness.
When difference and (Sum_Diff) are less than the luminance difference threshold value high threshold (T for setting2), more than setting luminance difference threshold value
Low threshold (T1), the influence coefficient of the mean flow rate of region-of-interest is set Wherein, n is
The region quantity that image is divided, and the influence coefficient (K of the mean flow rate of general image is set1=1-K2), automatic exposure takes into account whole
The brilliance control of individual image array data and region-of-interest image array data.By known (T1, AVG) and (T2,ATT_AVG)
Two reference points do linear interpolation, can try to achieve a brightness value between (AVG) and (ATT_AVG) as reference brightness,
Carry out the adjustment of automatic exposure.
Wherein, the self-adaptative adjustment mode of object brightness, main imitation human eye being capable of self adaptation under different brightness cases
Adjustment brightness, receiving allow to be adjusted to different luminance states in the very big environment of bright dark difference.
Scene illumination is higher, and the time for exposure is smaller, and gain is also smaller, and the object brightness of current scene is closer to the mesh for setting
Mark the maximum set value of brightness.
Scene illumination is lower, and the time for exposure is more long, and gain is also bigger, and the object brightness of current scene is closer to the mesh for setting
Mark the minimum setting value of brightness.
In the object brightness self-adaptative adjustment mechanism, it is desirable to which under the high illumination scene such as outdoor, target brightness value is being matched somebody with somebody
It is a value higher in the effective range put.
In the object brightness self-adaptative adjustment mechanism, it is desirable to indoors or in cloudy day etc. under isolux scene, mesh
Mark brightness value is a value placed in the middle in the effective range of configuration.
In the object brightness self-adaptative adjustment mechanism, it is desirable under the scene of the low-light (level) such as night or darkness, target
Brightness value is a value less than normal in the effective range of configuration.
In some embodiments, determine that the mode of image illumination grade scene can be fallen into according to average brightness its
In a certain scene illumination it is interval and determines, and then the default object brightness is based on absorbed image place light environment
And determine.When the error between reference brightness value and target brightness value after adjustment is in the range of default allowable error, really
Determine image and enter stable state.
Then, after adjustment is exposed according to identified exposure Adjusted Option, the application can reacquire described the
One monochrome information and with the second monochrome information, to monitor whether to proceed exposure adjustment.
In some embodiments, for example under night environment, vehicle mounted imaging apparatus absorb the non-interesting region in image
It is vulnerable to street lamp, the influence of the interim irradiation of opposite vehicle, if reacquire average brightness according to the mode of step S110 entering
And the mode for being exposed the matching of regularization condition is exposed adjustment, the situation of frequent adjustment may be caused, so as to influence
The definition of region-of-interest in image captured by vehicle mounted imaging apparatus.Therefore, in order to reduce the exposure adjustment frequency, the application also exists
It is determined that when being exposed without adjustment, there is provided step S130.
Step S130, judge whether to reacquire first monochrome information and the second monochrome information.
Specifically, judge whether that reacquiring first monochrome information and the mode of the second monochrome information includes：Step
S131 and S132 (not in diagram).
In the first brightness changing value of default same region-of-interest in the absorbed multiple image of step S131, monitoring,
And；In the second brightness changing value in default same non-interesting region in the absorbed multiple image of monitoring.
Step S132, the first brightness changing value is counted with the second brightness changing value, and based on statistics
Determine whether to reacquire first monochrome information and the second monochrome information.
Specifically, record for the first time when stablizing, in the picture the respective average brightness value in all regions.And
The graph data of each frame after, be respectively compared the average brightness value in all regions in present image with enter stabilization when
Wait the changing value of the average brightness value of image.
In all regions, the thresholding of the brightness changing value more than setting in single region, and the region is region-of-interest,
It is judged as effectively changing detection zone, and records the weight coefficient (W in the regioni)。
It is judged as effectively changing the weight coefficient value of detection zone, and accumulation calculating institute in all regions of accumulation calculating
There is a weight coefficient value of region-of-interest, and calculate and be judged as effectively changing the weight coefficient of detection zone and account for all concern areas
The percentage (P) of the weight coefficient in domain, brightness adjustment is judged whether to according to percentage (P)：
When the brightness in monolithic region or polylith region in non-interesting region changes and the changing value of brightness is more than
During the brightness change thresholding of setting, automatic exposure is not turned on exposure adjustment.
When the brightness in region-of-interest monolithic region or less region change and brightness changing value more than setting
When fixed brightness changes thresholding, automatic exposure is not turned on exposure adjustment.
When the polylith regional luminance of region-of-interest change and brightness changing value more than setting brightness change door
Limit, automatic exposure judges the view data of successive frame, and the view data presence of continuous multiple frames meets polylith region in region-of-interest
Brightness change there is also polylith regional luminance in being unsatisfactory for region-of-interest and change more than setting more than the brightness change thresholding of setting
Brightness change thresholding when, automatic exposure be not turned on adjustment.
When the polylith regional luminance of region-of-interest change and brightness changing value more than setting brightness change door
Limit, automatic exposure judge the view data of successive frame, the view data of continuous multiple frames all meet region-of-interest in polylith region it is bright
When degree change changes thresholding more than the brightness of setting, step S110 is re-executed.
When most of regional luminance of region-of-interest change and brightness changing value more than setting brightness change
During thresholding, step S110 is re-executed.Here, described Fig. 3 shows a kind of idiographic flow for judging whether to readjust exposure.
The technical scheme of the present embodiment, by dividing region-of-interest, and base in the image that is absorbed in vehicle mounted imaging apparatus
In the luminance evaluation of the second monochrome information of first monochrome information and non-interesting region of region-of-interest, carry out tending to make concern
The exposure Adjusted Option that area image can be obtained clearly, effectively solves the high dynamic camera heads such as vehicle mounted imaging apparatus and becomes in light
Change the problem of complex environment hypograph poor definition.
Embodiment two
The structural representation of Fig. 4,5 vehicle mounted imaging apparatus provided for the embodiment of the present invention two.The vehicle mounted imaging apparatus
Including：Optical unit and exposure adjusting unit.
The light that the optical unit is used to be absorbed carries out imaging, to obtain image.It includes：Lens group 31
With CMOS 32.Wherein, the intake of the lens group 31 light, and be allowed to be imaged on CMOS 32.
The vehicle mounted imaging apparatus also include camera control unit 21, and it is connected with the exposure adjusting unit, is used for
Based on the control instruction that the exposure adjusting unit is exported, at least one ring of the adjustment influence imaging of optical unit 20
Section.
Specifically, the camera control unit 21 includes：The control of diaphragm module and exposure time control module (not in
Diagram).
The control of diaphragm module is used for based on received the control of diaphragm instruction adjustment aperture size.For example, according to institute
Reception the control of diaphragm instruction gradually reduce/increase aperture scale.
The exposure time control module is used for based on the received spectrum assignment instruction adjustment lens group intake light
The duration of line.For example, being stepped up/reducing the duration that the lens group takes in light according to the spectrum assignment instruction for being received.
The exposure adjusting unit is used to, by performing above-mentioned exposure adjustment method, control at least described exposure control module
Perform corresponding exposure Adjusted Option.
Here, the exposure adjusting unit can be the software and hardware being built in ISP chips 33, it includes：Brightness
Statistical module 10, light-metering correction module 12, adjustment trigger module 11, automatic exposure strategic control module 13.
The brightness statistic 10 is used to obtain absorbs in image the first monochrome information of default region-of-interest and non-
Second monochrome information of region-of-interest.
The light-metering correction module 12 is used to count brightness gap value of the entire image compared to region-of-interest, and based on institute
State brightness gap value to fall into inside or outside default luminance difference threshold interval, determine that region to be adjusted reference before adjustment is bright
Degree, and by starting at least one in the regulation time for exposure of automatic exposure strategic control module 13, aperture and gain, will be described
Reference brightness is adjusted to default object brightness.
The adjustment trigger module 11 is used to judge whether to reacquire first monochrome information and the second monochrome information.
The automatic exposure strategic control module 13 is used to implement exposure Adjusted Option, wherein, the automatic exposure strategy
Control module 13 will send corresponding the control of diaphragm instruction and exposure to the control of diaphragm module and/or exposure time control module
Photocontrol is instructed.
Corresponding step in the exposure adjusting unit in each module correspondence the various embodiments described above, and perform corresponding steps institute
The function of bringing, will not be described in detail herein.
For example, the pattern matrix collected by CMOS 32, is delivered in ISP 33 (picture signal treatment), ISP 33
In include various image processing functions.Described according to the application, the brightness that obtained by brightness statistic 10 is needed first is believed
Breath.Image input array is equally divided into n statistical regions by brightness statistic 10, and each statistical regions is tired out to brightness value
Adduction seeks its average value.The weight coefficient and region-of-interest of each statistical regions are set in brightness statistic 10, and calculates institute
There are the mean flow rate of statistical regions and the mean flow rate of region-of-interest.Light-metering correction module 12 is by getting brightness statistic
10 mean flow rates of all statistical regions being calculated and the mean flow rate of region-of-interest determine final automatic exposure institute
The reference brightness value of needs.Brightness of the adjustment trigger module 11 by detecting each statistical regions in the n statistical regions becomes
Change situation, decides whether to carry out the adjustment control of automatic exposure strategy, and idiographic flow is as shown in Figure 2.Automatic exposure policy control
13 reference brightness values calculated by reference to default target brightness value and light-metering correction module 12, the reference brightness value is adjusted
It is whole near target brightness value.When minimum value of the reference brightness value less than target brightness value, time for exposure and gain are lifted, work as ginseng
Examine brightness value more than target brightness value maximum when, reduce time for exposure and gain.The main mesh of light-metering correction module 12
Be the assessed value for obtaining more suitably present intensity, the average brightness value of the n blocks by getting, the present image asked is suitable
Light-metering reference brightness, and for the adjustment of automatic exposure.Firstly the need of in the n region got by brightness statistic
Each zone leveling brightness value, calculates the average brightness value of all statistical regions and the average brightness value of region-of-interest.By every
The difference of individual statistical regions and region-of-interest mean flow rate, it can be estimated that go out the complexity of current scene.Difference and it is smaller just
Illustrate that the overall brightness of current scene is average, the influence value of the mean flow rate of all statistical regions is bigger, and region-of-interest is average
The influence value of brightness is smaller, can guarantee that the brightness of general image is suitable using the average brightness value of all statistical regions.Difference and
The Luminance Distribution of bigger explanation current scene is more complicated, and the influence value of the mean flow rate of all statistical regions is smaller, region-of-interest
The influence value of mean flow rate is bigger, and the brightness of region-of-interest, light-metering correction are preferentially ensured using the average brightness value of region-of-interest
What statistics brightness of the module 12 by obtaining n region of present frame was preserved when entering and stablize with the automatic exposure last time
Brightness of the n difference of the statistics brightness in region to judge each region changes.Become for the brightness that non-interesting region occurs
Change, light-metering correction module 12 is adjusted not as references object to automatic exposure.For the brightness change of region-of-interest, light-metering correction
The intensity of variation of each statistical regions of automatic exposure is adjusted judgement by module 12.There is small part region-of-interest and brightness occurs
Change and more than threshold value, and most of region-of-interest brightness changes and no more than threshold value, light-metering correction module 12 may determine that for
The brightness demand of main body scene is constant, and local scene occurs motion and causes change, and automatic exposure can keep constant.In the presence of one
Fixed region-of-interest occurs brightness to be changed and more than threshold value, and automatic exposure considers whether to be produced because of the instantaneous movement of object
Changing condition, with reference to the changing value of continuous multiple frames, light-metering correction module 12 determines whether automatic exposure needs adjustment.In the presence of a large amount of
Region-of-interest occur brightness change and more than threshold value, it may be determined that for overall scenario there occurs change, light-metering correction module 12
Determine that automatic exposure needs to be exposed adjustment.It is and current according to the reference average brightness value that light-metering correction module 12 gets
The object brightness of scene adaptive is compared.If the low door of the object brightness threshold value with reference to average brightness value less than setting
Limit, adjustment rate is more than 1, it is necessary to pass through to increase the time for exposure or the method for gain supplements brightness, if with reference to flat
More than the high threshold of the object brightness threshold value of setting, adjustment rate is less than 1 for equal brightness, then need by reduce the time for exposure or
The method of gain refers to mean flow rate to reduce.The time for exposure of automatic exposure and gain have reached maximum, can be by drop
Low frame per second improves overall exposing time of every two field picture, so as to improve brightness.The time for exposure of automatic exposure and gain reach
Minimum value is arrived, the reference brightness of acquisition is still above current object brightness, and stabilization is forced in current automatic exposure.It is automatic to expose
In the control process of light, the time for exposure is preferentially adjusted, secondly adjust gain.Idiographic flow see Fig. 2.
Here, the exposure and gain output interface 14 in Fig. 5 will consider the different types of camera of docking, exposure and increasing
The adaptable interface that the precision or mapping relations of benefit are different and add, while considering the delay that comes into force of exposure and gain.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
More other Equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (11)
1. a kind of exposure adjustment method, for camera head, it is characterised in that including：
Acquisition presets the first monochrome information of region-of-interest and second monochrome information in non-interesting region in absorbing image；
The exposure Adjusted Option of the camera head is determined based on first monochrome information and the second monochrome information；
After adjustment is exposed according to identified exposure Adjusted Option, first monochrome information is reacquired and with second
Monochrome information.
2. exposure adjustment method according to claim 1, it is characterised in that it is determined that during without adjustment exposure, also including：
Judge whether the step of reacquiring first monochrome information and the second monochrome information.
3. exposure adjustment method according to claim 2, it is characterised in that described to judge whether to reacquire described first
Monochrome information and the second monochrome information, including：
In the first brightness changing value of default same region-of-interest in the absorbed multiple image of monitoring, and；Monitoring is taken the photograph
In the second brightness changing value in default same non-interesting region in the multiple image for taking；
The first brightness changing value is counted with the second brightness changing value, and determines whether to obtain again based on statistics
Take first monochrome information and the second monochrome information.
4. exposure adjustment method according to claim 1, it is characterised in that the monochrome information of the acquisition first and second bright
Degree information, including：
Based on the weight coefficient of default region-of-interest, each pixel of the correspondence region-of-interest is carried out in the image that will be absorbed
Weighted average treatment based on brightness, to obtain the first monochrome information；
Based on the weight coefficient in default non-interesting region, each pixel in the correspondence non-interesting region in the image that will be absorbed
Average treatment is weighted, to obtain the second monochrome information.
5. exposure adjustment method according to claim 4, it is characterised in that first monochrome information and second bright of being based on
Degree information determines the exposure Adjusted Option of the camera head, including：
The average brightness value of entire image is calculated based on first monochrome information and the second monochrome information；
The average brightness value and first monochrome information are matched with default exposure regularization condition respectively；
The exposure Adjusted Option of the camera head is determined based on matching result.
6. exposure adjustment method according to claim 5, it is characterised in that the exposure regularization condition includes：Target is bright
Degree is interval, and when at least one of first monochrome information and average brightness value are not fallen within the object brightness interval
When, according to the combination of the first monochrome information and average brightness value not fallen within the object brightness interval, it is determined that described
The exposure Adjusted Option of camera head.
7. exposure adjustment method according to claim 6, it is characterised in that the exposure Adjusted Option includes：Adjustment exposes
At least one in light time, aperture and gain.
8. the exposure adjustment method according to claim 1 or 7, it is characterised in that the exposure Adjusted Option includes：
Brightness gap value of the statistics entire image compared to region-of-interest；
Fallen into inside or outside default luminance difference threshold interval based on the brightness gap value, determine region to be adjusted in adjustment
Preceding reference brightness, and by adjusting at least one in time for exposure, aperture and gain, the reference brightness is adjusted to pre-
If object brightness.
9. exposure adjustment method according to claim 8, it is characterised in that the default object brightness is based on being taken the photograph
Light environment where the image that takes and determine.
10. a kind of vehicle mounted imaging apparatus, it is characterised in that including：
Optical unit, the light for that will be absorbed carries out imaging, to obtain image；
Exposure adjusting unit, connects the optical unit, for the method by execution as described in any in claim 1-9,
At least described optical unit of control performs corresponding exposure Adjusted Option.
11. vehicle mounted imaging apparatus according to claim 10, it is characterised in that also include：
Camera control unit, including：
The control of diaphragm module, for based on the control of diaphragm instruction adjustment aperture size for being received；
Exposure time control module, for based on the spectrum assignment instruction adjustment lens group intake light for being received when
It is long.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108307123A (en) * | 2018-01-22 | 2018-07-20 | 维沃移动通信有限公司 | A kind of exposure adjustment method and mobile terminal |
| CN109309792A (en) * | 2017-07-26 | 2019-02-05 | 比亚迪股份有限公司 | Image processing method, device and the vehicle of vehicle-mounted camera |
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| CN115022552A (en) * | 2021-02-18 | 2022-09-06 | 北京石头创新科技有限公司 | Camera exposure method for self-walking equipment and self-walking equipment |
| CN115118887A (en) * | 2022-02-22 | 2022-09-27 | 北京时代民芯科技有限公司 | Automatic exposure method applied to domestic anti-radiation camera |
| WO2023050549A1 (en) * | 2021-09-29 | 2023-04-06 | 浙江亚太机电股份有限公司 | Method for improving identification accuracy and environmental adaptability of adas system |
| US11792531B2 (en) | 2019-09-27 | 2023-10-17 | Apple Inc. | Gaze-based exposure |
| CN117061878A (en) * | 2023-10-11 | 2023-11-14 | 北方夜视技术股份有限公司 | Automatic exposure control method based on EBAPS sensor camera and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102209200A (en) * | 2010-03-31 | 2011-10-05 | 比亚迪股份有限公司 | Automatic exposure control method |
| US20140046341A1 (en) * | 2012-08-08 | 2014-02-13 | Intuitive Surgical Operations, Inc. | Auto exposure of a camera in a surgical robot |
| CN104881644A (en) * | 2015-05-25 | 2015-09-02 | 华南理工大学 | Face image acquisition method under uneven lighting condition |
| CN105827995A (en) * | 2016-03-30 | 2016-08-03 | 金三立视频科技（深圳）有限公司 | Automatic exposure method and system based on histogram |
-
2017
- 2017-01-23 CN CN201710049731.9A patent/CN106791475B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102209200A (en) * | 2010-03-31 | 2011-10-05 | 比亚迪股份有限公司 | Automatic exposure control method |
| US20140046341A1 (en) * | 2012-08-08 | 2014-02-13 | Intuitive Surgical Operations, Inc. | Auto exposure of a camera in a surgical robot |
| CN104881644A (en) * | 2015-05-25 | 2015-09-02 | 华南理工大学 | Face image acquisition method under uneven lighting condition |
| CN105827995A (en) * | 2016-03-30 | 2016-08-03 | 金三立视频科技（深圳）有限公司 | Automatic exposure method and system based on histogram |
Non-Patent Citations (1)
| Title |
|---|
| 匡艳 等: "一种基于图像多区域的变步长自动曝光算法", 《电视技术》 * |
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