CN108337447A - High dynamic range images exposure compensating value-acquiring method, device, equipment and medium - Google Patents
High dynamic range images exposure compensating value-acquiring method, device, equipment and medium Download PDFInfo
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- CN108337447A CN108337447A CN201810326330.8A CN201810326330A CN108337447A CN 108337447 A CN108337447 A CN 108337447A CN 201810326330 A CN201810326330 A CN 201810326330A CN 108337447 A CN108337447 A CN 108337447A
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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 application proposes a kind of high dynamic range images exposure compensating value-acquiring method and device, wherein method includes：Determine the scene changes speed of preview screen in camera assembly, according to the scene changes speed of preview screen, determine current histogram calculation frame per second, according to histogram calculation frame per second, judge whether current preview picture is target picture, if so, determining the corresponding each color channel histograms of target picture, according to the corresponding each color channel histograms of target picture, newest under-exposure offset and overexposure offset are determined.This method is according to the scene changes speed of preview screen in camera assembly, determine histogram calculation frame per second, and then statistics with histogram only is carried out to target picture, and according only to the corresponding each color channel histograms of target picture, determine newest under-exposure offset and overexposure offset.To not only ensure that the high dynamic range images of shooting can really reflect current photographed scene, but also reduce the calculation amount of statistics with histogram.
Description
Technical field
This application involves exposure-processed technical field more particularly to a kind of high dynamic range images exposure bias value acquisition sides
Method, device, equipment and medium.
Background technology
High dynamic range images (High-Dynamic Range image, abbreviation HDRI) are fusion normal exposures, owe to expose
The image obtained with several images of overexposure is a kind of image that brightness range is very wide, compares common image, can be with
More dynamic ranges and image detail are provided, can preferably reflect the visual effect in people's true environment.
It in actual application, can be in real time to every preview screen when shooting high dynamic range images using camera
Histogram it is for statistical analysis, to determine under-exposure offset and overexposure offset.Software mode is currently mainly used
Statistics with histogram analysis is carried out to every preview screen, constantly updates exposure bias value.
But the mode of statistics with histogram is all carried out to every preview screen, calculation amount is larger.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
The application proposes a kind of high dynamic range images exposure compensating value-acquiring method, by according to preview in camera assembly
The scene changes speed of picture determines histogram calculation frame per second, and then according to histogram calculation frame per second, is only carried out to target picture
Statistics with histogram, and according only to the corresponding each color channel histograms of target picture, determine newest under-exposure offset and mistake
Exposure bias value.To not only ensure that the high dynamic range images of shooting can really reflect current photographed scene, but also
Reduce the calculation amount of statistics with histogram.
The application proposes a kind of high dynamic range images exposure bias value acquisition device.
The application proposes a kind of mobile device.
The application proposes a kind of computer readable storage medium.
The application one side embodiment proposes a kind of high dynamic range images exposure compensating value-acquiring method, including：
Determine the scene changes speed of preview screen in the camera assembly；
According to the scene changes speed of the preview screen, current histogram calculation frame per second is determined；
According to the histogram calculation frame per second, judge whether current preview picture is target picture；
If so, determining the corresponding each color channel histograms of the target picture；
According to the corresponding each color channel histograms of the target picture, newest under-exposure offset and overexposure are determined
Offset.
The high dynamic range images exposure compensating value-acquiring method that the embodiment of the present application proposes, by determining in camera assembly
The scene changes speed of preview screen determines current histogram calculation frame per second, root according to the scene changes speed of preview screen
According to histogram calculation frame per second, judge whether current preview picture is target picture, if so, determining the corresponding each face of target picture
Chrominance channel histogram determines newest under-exposure offset and overexposure according to the corresponding each color channel histograms of target picture
Light offset.In the present embodiment, by the scene changes speed according to preview screen in camera assembly, histogram calculation frame is determined
Rate, and then according to histogram calculation frame per second, statistics with histogram only is carried out to target picture, and corresponding each according only to target picture
Color channel histograms determine newest under-exposure offset and overexposure offset.Height to not only ensure that shooting is dynamic
State range image can really reflect current photographed scene, and reduce the calculation amount of statistics with histogram.
The application another aspect embodiment proposes a kind of high dynamic range images exposure bias value acquisition device, including：
First determining module, the scene changes speed for determining preview screen in the camera assembly；
Second determining module determines current histogram calculation for the scene changes speed according to the preview screen
Frame per second；
Judgment module, for according to the histogram calculation frame per second, judging whether current preview picture is target picture；
Third determining module, for when current preview picture is target picture, determining that the target picture is corresponding each
Color channel histograms；
4th determining module, for according to the corresponding each color channel histograms of the target picture, determining newest owe
Exposure bias value and overexposure offset.
The high dynamic range images exposure bias value acquisition device that the embodiment of the present application proposes, by determining in camera assembly
The scene changes speed of preview screen determines current histogram calculation frame per second, root according to the scene changes speed of preview screen
According to histogram calculation frame per second, judge whether current preview picture is target picture, if so, determining the corresponding each face of target picture
Chrominance channel histogram determines newest under-exposure offset and overexposure according to the corresponding each color channel histograms of target picture
Light offset.In the present embodiment, by the scene changes speed according to preview screen in camera assembly, histogram calculation frame is determined
Rate, and then according to histogram calculation frame per second, statistics with histogram only is carried out to target picture, and corresponding each according only to target picture
Color channel histograms determine newest under-exposure offset and overexposure offset.Height to not only ensure that shooting is dynamic
State range image can really reflect current photographed scene, and reduce the calculation amount of statistics with histogram.
The application another aspect embodiment proposes a kind of mobile device, including：Memory, processor and camera assembly；
The camera assembly, for acquiring preview screen；
The memory, for storing executable program code；
The processor can perform to run with described for reading the executable program code stored in the memory
The corresponding program of program code, for realizing the high dynamic range images exposure bias value as described in above-mentioned one side embodiment
Acquisition methods.
The application another aspect embodiment proposes a kind of computer readable storage medium, is stored thereon with computer journey
Sequence realizes that the high dynamic range images exposure as described in above-mentioned one side embodiment is mended when the computer program is executed by processor
Repay value-acquiring method.
The additional aspect of the application and advantage will be set forth in part in the description, and will partly become from the following description
It obtains obviously, or recognized by the practice of the application.
Description of the drawings
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, wherein：
Fig. 1 is a kind of flow signal of high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application
Figure；
Fig. 2 is that the flow of another high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application is shown
It is intended to；
Fig. 3 is that the flow of another high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application is shown
It is intended to；
Fig. 4 is that the flow of another high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application is shown
It is intended to；
Fig. 5 is the flow chart of another high dynamic range images exposure compensating value-acquiring method provided by the present application；
Fig. 6 is a kind of structural representation of high dynamic range images exposure bias value acquisition device provided by the embodiments of the present application
Figure；
Fig. 7 is a kind of structural schematic diagram of mobile device provided by the embodiments of the present application.
Specific implementation mode
Embodiments herein is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the application, and should not be understood as the limitation to the application.
Below with reference to the accompanying drawings describe the high dynamic range images exposure compensating value-acquiring method of the embodiment of the present application, device,
Equipment and medium.
When for carrying out statistics with histogram by software mode at present, statistics with histogram is all carried out to every preview image,
Computationally intensive problem, the embodiment of the present application propose a kind of high dynamic range images exposure compensating value-acquiring method.
The high dynamic range images exposure compensating value-acquiring method of the embodiment of the present application, by according to preview in camera assembly
The scene changes speed of picture determines histogram calculation frame per second, and then according to histogram calculation frame per second, is only carried out to target picture
Statistics with histogram, and according only to the corresponding each color channel histograms of target picture, determine newest under-exposure offset and mistake
Exposure bias value.To not only ensure that the high dynamic range images of shooting can really reflect current photographed scene, but also
Reduce the calculation amount of statistics with histogram.
Fig. 1 is a kind of flow signal of high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application
Figure.
As shown in Figure 1, the high dynamic range images exposure compensating value-acquiring method includes：
Step 101, the scene changes speed of preview screen in camera assembly is determined.
Specifically, high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application, it can be by this Shen
The high dynamic range images exposure bias value acquisition device that please be provided executes, and above-mentioned apparatus is configured at the movement including camera assembly
In equipment, the exposure compensating for shooting image is controlled with realizing.Wherein, camera assembly includes imaging sensor, optical filter
Deng.
Wherein, mobile device can arbitrarily be had camera assembly, the removable of camera function can be achieved in the present embodiment
Hardware device, such as smart mobile phone, camera etc., the application is not especially limited this.
The embodiment of the present application combination user using mobile device when shooting high dynamic range images, if preview screen midfield
Scape pace of change is faster, illustrates that current preview picture is unstable, for example user may currently move mobile device, at this point, with
The possibility that family shoots current preview picture is smaller, so can be without statistics with histogram to current preview picture.Therefore, originally
Apply for that embodiment by the scene changes speed according to preview screen, controls the calculating frame per second of histogram, to ensure
While getting the high dynamic range images of true reflection photographed scene, reduce the computation burden of histogram.
As an example, it according to the movement speed of mobile device, can determine that the scene of preview screen in camera assembly becomes
Change speed.Specifically, if configuring the components such as gyroscope, acceleration transducer in mobile device, when mobile device is in movement
When state, the movement speed of mobile device can be detected by gyroscope, acceleration transducer etc., later according to the shifting of mobile device
The correspondence of the movement speed and scene changes speed of dynamic speed and preset mobile device is determined and is set with current movement
Standby movement speed is corresponding, the scene changes speed of preview screen in camera assembly.
Alternatively, when in continuous two preview screens, if the position of the main body of shooting is changed, illustrate that preview is drawn
The scene in face is changed.As another example, the main body of current shooting can be first determined, for example, preview is drawn when the user clicks
When people in face, illustrate that people is that the main body of current shooting determines current shooting alternatively, according to the depth information in preview screen
Main body.After determining shooting main body, according to location information of the main body in each preview screen, determine that preview is drawn in picture shooting assembly
The scene changes speed in face.
Wherein, location information can be pixel coordinate information of some point of main body in preview screen, according to the point
Change in location in multiple continuous preview screens, determines movement speed of the main body in preview screen, as picture shooting assembly
The scene changes speed of middle preview screen.
Alternatively, when due to scene changes, the pixel of the marginal portion in preview screen will necessarily change, therefore, this Shen
Please embodiment in order to quickly determine preview screen scene changes speed, can also be according to the difference of the edge pixel in preview screen
Different information determines the scene changes speed of preview screen in picture shooting assembly.I.e. as another example of above-mentioned steps 101, also
Can be：According to the different information of the edge pixel in each preview screen, the scene changes of preview screen in picture shooting assembly are determined
Speed.
Wherein, different information, refers to current preview picture and the differences such as the color between first preview screen or brightness are believed again
Breath, may include the different pixel quantity etc. of size of the difference, color or the brightness of color or brightness, in addition, difference
Information can also include the number of pictures of current preview picture and first preview screen interval, if for example, current preview picture is
Brightness and heterochromia between nth frame picture, with first N-3 frame preview screens again is larger, then different information can with X=3,
For between instruction current preview picture and the 3rd first again preview screen brightness and color it is variant etc..
In addition, the quantity of the edge pixel in preview screen can be arranged as required to, for example it can be preview screen four
Week default row pixel, or may be the pixel etc. that row is preset in one edge of preview screen, the present embodiment to this not
It limits.
Further, in the embodiment of the present application, the different information and scene changes speed of edge pixel can also be pre-set
The mapping relations of degree, later in determining current preview picture after the different information of edge pixel, you can according to preset mapping
Relationship determines corresponding scene changes speed.
Alternatively, since mobile device is when carrying out image taking, internal image processor (Image Signal
Processing, abbreviation ISP) it can get the raw image data of preview screen in real time, i.e., untreated image data,
Such as the corresponding overexposure quantity of pixel, deficient exposure quantity etc. in brightness value, the pixel quantity in each region, each region.And work as preview
It is at least one in above-mentioned data necessarily to change when the scene of picture changes, therefore another as above-mentioned steps 101 shows
Example, can also determine the field of preview screen in picture shooting assembly according to the raw image data in image processor in mobile device
Scape pace of change.
In actual use, you can according to the pace of change of raw image data, determine preview screen in picture shooting assembly
Scene changes speed.
It should be noted that the mode of other scene changes speed for being used to determine preview scene in camera assembly, is also wrapped
Containing in the present embodiment.
Step 102, according to the scene changes speed of preview screen, current histogram calculation frame per second is determined.
Wherein, histogram calculation frame per second is used to characterize the last target picture determined and next target picture interval
Number of image frames.
In the present embodiment, the scene changes speed of preview screen is faster, illustrates what selection current preview picture was shot
May be smaller, then it is bigger to determine that current histogram calculates frame per second.
As an example, preview screen scene changes speed pass corresponding with histogram calculation frame per second can be preset
System, so as to according to the scene changes speed of current preview picture, calculate corresponding current histogram calculation frame per second.When
Calculated histogram calculation frame per second when the number of image frames being spaced is not integer, can use nearest integer, as current straight
Side's figure calculates frame per second.Alternatively, can be by less than the maximum integer of calculated histogram calculation frame per second, as histogram calculation frame
Rate.Specifically, can determine according to actual needs.
Since the scene changes speed of preview screen is fast, illustrate that the movement velocity of mobile device is big, or shake is big, at this time
It possibly can not accurately focus, therefore mostly can carry out statistics with histogram again every several frames.As another example, by preview screen
Scene changes speed is compared with first threshold.If scene changes speed is more than first threshold, current histogram is determined
It is N that figure, which calculates target picture interval frame number amount in frame per second,.When scene pace of change is less than first threshold, current histogram is determined
It is M that figure, which calculates target picture interval frame number amount in frame per second,.Wherein, N and M is positive integer, and N is more than M.That is, when scene becomes
Change speed is bigger, and target picture interval frame number amount is more.
In the present embodiment, according to scene changes speed, the selection target picture by way of frame-skipping carries out target picture
Statistics with histogram can greatly reduce the calculation amount of statistics with histogram.
As another example, multiple threshold values can be also arranged as required to, by scene changes speed and target picture interval
Number of frames is divided into multiple grades.For example, when scene pace of change is more than second threshold, target picture interval frame number amount is determined
For n.When scene pace of change is more than third threshold value and is less than second threshold, target picture interval frame number amount is reduced, interval is made
Number of frames is m.When scene pace of change is less than third threshold value, target picture interval frame number amount is further reduced, interval frame is made
Quantity is h.Wherein, second threshold is more than third threshold value, and n, m and h are positive integer, and n is more than m, and m is more than h.
In the present embodiment, by the scene changes speed of preview screen, current histogram calculation frame can be adaptively determined
Rate.
Step 103, according to histogram calculation frame per second, judge whether current preview picture is target picture.
In the present embodiment, according to histogram calculation frame per second, and the last target picture determined, it may be determined that current
Whether preview screen is target picture.
For example, it is 3 that current histogram calculation frame per second, which is interval frame number, current preview picture and the last mesh determined
2 are divided between mark picture, it is target picture to illustrate current preview picture not.
In the present embodiment, by according to histogram calculation frame per second, determining whether current preview picture is target picture, is avoided
It is used as target picture to carry out statistics with histogram successively all preview screens, to greatly reduce the calculating of statistics with histogram
Amount.
Step 104, if so, determining the corresponding each color channel histograms of target picture.
When determining that current preview picture is target picture according to histogram calculation frame per second, determine that target picture is corresponding each
The histogram of Color Channel.
In practical applications, color channel histograms are typically to be obtained using RGB data.Therefore in the present embodiment,
If the raw image data obtained is not RGB data, need that non-RGB data is first switched to RGB data.Then, further according to RGB
Data determine that the corresponding each color channel histograms of current scene, the present embodiment do not repeat this excessively.
It should be noted that if the RGB data obtained in the present embodiment includes red (R), green (G), blue (B) three colors
Channel, then corresponding determining each color channel histograms are then three, respectively red channel histogram, green channel histogram
Figure and blue channel histogram.
Further, three kinds of color channel histograms of above-mentioned determination.Wherein, in each color channel histograms, horizontal axis table
Diagram image brightness, the longitudinal axis indicate that each pixel is located at the pixel ratio under the brightness in image.
Step 105, according to the corresponding each color channel histograms of target picture, newest under-exposure offset and mistake are determined
Exposure bias value.
Since the brightness of pixel is related with exposure, brightness is bigger, illustrates that exposure is more sufficient.It, can be according to mesh in the present embodiment
The relationship for marking brightness and pixel ratio in the corresponding each color channel histograms of picture, determines newest under-exposure offset and mistake
Exposure bias value, subsequent embodiment will be described in more detail, and details are not described herein.
In the present embodiment, by the scene changes speed according to preview screen in camera assembly, histogram calculation frame is determined
Rate, and then according to histogram calculation frame per second, statistics with histogram only is carried out to target picture, and corresponding each according only to target picture
Color channel histograms determine newest under-exposure offset and overexposure offset.Height to not only ensure that shooting is dynamic
State range image can really reflect current photographed scene, and reduce the calculation amount of statistics with histogram.
It, can be according to the scene changes speed of preview screen, to determine by above-mentioned analysis it is found that in the embodiment of the present application
Histogram calculation frame per second, and then when current preview picture is target picture, it is logical according to the corresponding each color of current preview picture
Road histogram determines newest under-exposure offset and overexposure offset.In actual use, if the non-mesh of current preview picture
Picture is marked, then can be without for statistical analysis to current preview picture, with reference to Fig. 2, to provided by the present application high dynamic
State range image exposure compensating value-acquiring method is further described.
Fig. 2 is that the flow of another high dynamic range images exposure compensating value-acquiring method provided by the embodiments of the present application is shown
It is intended to.
As shown in Fig. 2, the high dynamic range images exposure compensating value-acquiring method in the above-described embodiments step 103 it
Afterwards, further include：Step 106, it if it is not, then when getting shooting instruction, is owed respectively according to current preview picture is predetermined
Exposure bias value and overexposure offset obtain under-exposure image and overexposure light image.
In the present embodiment, when it is target picture according to current histogram calculation frame per second, to determine current preview picture not,
If at this moment user triggers shooting operation.Mobile device can be according to the predetermined under-exposure offset in current preview face and overexposure
Light offset obtains overexposure light image and under-exposure image.
Specifically, it according to the predetermined under-exposure offset in current preview face, is shot, obtains overexposure light image.
According to the predetermined overexposure offset in current preview face, under-exposure image is obtained.
It,, can basis if getting shooting instruction if current preview picture is not target picture in the present embodiment
The under-exposure offset and overexposure offset that the last time determines, obtain overexposure light image and under-exposure image, can make
The details of the picture of exposure image and under-exposure image is more comprehensive.
Correspondingly, if current preview picture is target picture, then getting newest under-exposure offset and overexposure
Light offset and then when getting the shooting instruction of high dynamic range images, can be according to the under-exposure offset of newest acquisition
And overexposure offset obtains high dynamic range images.Fig. 3 is another high dynamic range images provided by the embodiments of the present application
The flow diagram of exposure compensating value-acquiring method.
As shown in figure 3, on the basis of embodiment shown in Fig. 1, the high dynamic range images exposure compensating value-acquiring method
After executing the step 105, further include：Step 107, high dynamic range images shooting instruction is obtained.
In the present embodiment, after determining newest under-exposure offset and overexposure offset, when user is opening HDR moulds
Under formula, when clicking shooting button, mobile device obtains high dynamic range images shooting instruction.
Wherein, above-mentioned high dynamic range images shooting instruction can be that user triggers, can also be high dynamic range figure
As acquisition device obtains dress according to the state automatic trigger of current preview picture, such as high dynamic range images exposure bias value
It sets, detects that current preview picture has met focusing and required, then can be with automatic trigger shooting instruction etc., the present embodiment does not do this
It limits.
Step 108, according to newest under-exposure offset and overexposure offset, high dynamic range images are obtained.
After getting high dynamic range images shooting instruction, overexposure figure can be obtained according to newest under-exposure offset
Picture obtains under-exposure image, and obtain the image under normal exposure according to newest overexposure offset.Certainly, under-exposure
Image, overexposure light image and the shooting of the image under normal exposure sequence can successively be obtained according to setting sequence.
Later, by the processing of under-exposure image, overexposure light image and normal exposure image co-registration, it is corresponding to generate target picture
High dynamic range images.
In the present embodiment, after determining newest under-exposure offset and overexposure offset, high dynamic is being got
When range shooting instruction, under-exposure image and overexposure can be obtained according to newest under-exposure offset and overexposure offset
Image, to ensure that the high dynamic range images of shooting can really reflect current photographed scene.
Based on above-described embodiment, each color channel histograms may include different brightness and pixel ratio under each Color Channel
Correspondence current under-exposure benefit is determined according to the correspondence of different brightness and pixel ratio under each Color Channel
Repay value and overexposure offset.Fig. 4 is that another high dynamic range images exposure bias value provided by the embodiments of the present application obtains
The flow diagram of method.
As shown in figure 4, the high dynamic range images exposure compensating value-acquiring method includes：
Step 201, the scene changes speed of preview screen in camera assembly is determined.
Step 202, according to the scene changes speed of preview screen, current histogram calculation frame per second is determined.
Step 203, according to histogram calculation frame per second, judge whether current preview picture is target picture.
Step 204, if so, the corresponding each color channel histograms of target picture are determined, wherein each Color Channel histogram
Figure includes the correspondence of the different brightness and pixel ratio under each Color Channel.
In the present embodiment, step 201- steps 204 are similar with the step 101- steps 104 in upper embodiment, therefore herein not
It repeats again.
Step 205, according to the difference under preset normal exposure luminance threshold, pixel ratio threshold value and each Color Channel
The correspondence of brightness and pixel ratio determines the under-exposure degree and overexposure degree of target picture.
Specifically, due in practical applications, the response of imaging sensor is that we are wanted close to linear relationship
For the image of rendering, if without correction, but directly display on the display screen, even from preset normal exposure
Luminance threshold carries out the image not overexposure of brightness regulation, it is also possible to overexposure occurs in the image showed on the display screen.
Therefore, in order to which correctly output meets response image of the human eye to brightness in various equipment, it is necessary to be corrected accordingly
Operation, the function of the correction is gamma curve.
Therefore, before realizing step 205 step, the present embodiment can be first according to the corresponding gamma curve of photographic device, really
Determine normal exposure luminance threshold.
Then, recycle the difference under determining normal exposure luminance threshold, pixel ratio threshold value and each Color Channel bright
The correspondence of degree and pixel ratio, determines the under-exposure degree and overexposure degree of target picture.
It, can be according to each Color Channel histogram of target picture when determining the under-exposure degree of target picture when specific implementation
Figure, by the pixel ratio of each Color Channel since 0, then according to the increased mode of brightness, is overlapped operation, until pixel
Until the folded addition and value of ratio reaches pixel ratio threshold value, then determine that the folded addition and value of pixel ratio reaches pixel ratio threshold value
Position, corresponding brightness value.
It, can be by above-mentioned brightness value and normal exposure luminance threshold after determining brightness value corresponding with pixel ratio threshold value
Value is compared, to obtain the under-exposure degree of target picture.
Likewise, when determining the overexposure degree of target picture, the process phase with the under-exposure degree for determining target picture
Seemingly, unique distinctive points are, need the pixel ratio in each Color Channel in such a way that brightness is successively decreased from high to low into
Row superposition.
Wherein, under-exposure degree and overexposure degree can be a concrete numerical value, or a numberical range, this
Application is not especially limited this.
Step 206, according to the under-exposure degree of target picture and overexposure degree, determine current under-exposure offset and
Overexposure offset.
When specific implementation, it can carry out the under-exposure degree of target picture and normal exposure luminance threshold to make poor place respectively
Reason, to obtain corresponding difference, then determines the under-exposure offset of target picture according to above-mentioned difference.
Meanwhile also carrying out the overexposure degree of target picture and normal exposure luminance threshold to make poor processing, to obtain pair
Then the difference answered determines the overexposure offset of target picture according to difference.
It is understood that the application high dynamic range images exposure bias value acquisition device, based on each of target picture
The under-exposure brightness offset value of determination and mistake of color channel histograms, normal exposure luminance threshold and pixel ratio threshold value adaptability
Expose brightness offset value so that under-exposure image, overexposure light image and the normal exposure image of shooting carry out after image co-registration
Obtained high dynamic range images, can it is clearer display image on details, more really reflection target picture scene
Actual visual effect, improve the quality of image.
By above-mentioned analysis it is found that by determine target picture under-exposure degree and overexposure degree, be then based on just
Often exposure luminance threshold and under-exposure degree and overexposure degree between difference, determine target picture under-exposure offset and
Overexposure offset.With reference to Fig. 5, by taking the process of the under-exposure offset of determination as an example, to the high dynamic range figure of the application
As exposure compensating value-acquiring method is further described.
Fig. 5 is the flow chart of another high dynamic range images exposure compensating value-acquiring method provided by the present application.
As shown in figure 5, the high dynamic range images exposure bias value method includes：
Step 301, the scene changes speed of preview screen in camera assembly is determined.
Step 302, according to the scene changes speed of preview screen, current histogram calculation frame per second is determined.
Step 303, according to histogram calculation frame per second, judge whether current preview picture is target picture.
Step 304, if so, the corresponding each color channel histograms of target picture are determined, wherein each Color Channel histogram
Figure includes the correspondence of the different brightness and pixel ratio under each Color Channel.
In the present embodiment, step 301- steps 304 are similar with the step 401- steps 404 in above-described embodiment, therefore herein
It repeats no more.
Step 305, it is exposed under luminance threshold, the first pixel ratio threshold value and each Color Channel according to preset first
Different brightness and pixel ratio count pixel ratio in each color channel histograms according to the sequence of brightness from low to high
With.
Wherein, the size of the first exposure luminance threshold, can be true according to the non-under-exposure minimum brightness value of imaging sensor
It is fixed；Correspondingly, it is used to determine the size of the second exposure luminance threshold of the overexposure degree of each Color Channel, it can be according to image
The non-overexposure minimum brightness value of sensor determines.
Step 306, when each Color Channel pixel ratio is with the first pixel ratio threshold value is reached, determine that each color is logical
Corresponding each first brightness value in road.
Step 307, according to the minimum value in each first brightness value, the first luminance difference with the first exposure luminance threshold,
Determine the under-exposure degree of target picture.
For example, if the first exposure luminance threshold is 10, the first pixel ratio threshold value is 8%, and each Color Channel is straight
Side's figure is red channel histogram, green channel histogram and blue channel histogram, then can be respectively by red channel histogram
Figure, green channel histogram and blue channel histogram are incremented by according to from brightness value from the direction that 0 is 255 to brightness value,
Respective pixel ratio value in superposition red channel histogram, green channel histogram and blue channel histogram respectively simultaneously, directly
To in red channel histogram, green channel histogram and blue channel histogram each pixel ratio and reach the first picture
Until when plain proportion threshold value 8%.Then it counts in red channel histogram, green channel histogram and blue channel histogram
Pixel ratio and reach the first pixel ratio 8% when, corresponding first brightness value be 3 luxs (lux),
4lux、6lux。
The first brightness value of red channel histogram is minimum value it can be seen from the data of above-mentioned statistics, and with first
7 brightness values are differed between exposure luminance threshold 10, therefore the first brightness value of red channel histogram and first can be exposed
7 brightness values between brightness threshold value are determined as the under-exposure degree of target picture.
It should be noted that the first brightness value due to each color channel histograms is irregular, if choose with first
The first less brightness value of difference, determines the under-exposure degree of target picture, then after may result between exposure luminance threshold
After phase is exposed compensation to the image of target picture, image still has under exposed problem.
Therefore, for the above-mentioned problem of effective solution, the application is by choosing in each color channel histograms the
The minimum value of one brightness value determines the under-exposure degree of target picture, to ensure that the image progress to target picture is more complete
The exposure compensating in face so that the picture quality got is more preferable.
Step 308, according to the relationship of preset difference and exposure bias value, determining and the first luminance difference is corresponding to owe
Exposure bias value.
Wherein, preset difference can be pre-set according to different photographed scenes from the relationship of exposure bias value
, the application is not especially limited this.
That is, after the present embodiment determines the under-exposure degree of target picture, can be existed according to under-exposure degree
It is inquired in the relation list of difference and exposure bias value, to determine the corresponding under-exposure offset of the first luminance difference.
It should be noted that determining that the method for overexposure offset is similar, details are not described herein.
In the high dynamic range images exposure compensating value-acquiring method of the embodiment of the present application, by being based on the first exposure brightness
Corresponding pass between different brightness and pixel ratio under each Color Channel of threshold value, the first pixel ratio threshold value and target picture
System, determines the under-exposure degree of target picture, then according to under-exposure degree in the difference and exposure bias value pre-established
Relation list in, determine corresponding under-exposure offset.Hereby it is achieved that when being exposed compensation to shooting picture, energy
Enough paces of change according to present filming scene, adaptively set the goal picture really, and then according to the corresponding each face of target picture
Chrominance channel histogram determines the exposure compensation amount of target picture, to realize the dynamic optimal exposure to the scene of target picture
Compensation so that shooting picture can it is clearer display image on details, more really reflection target picture scene
Actual visual effect, improve the quality of image.
Illustrate above-described embodiment to become apparent from, the application also proposes that a kind of high dynamic range images exposure bias value obtains
Device.Fig. 6 is a kind of structural schematic diagram of high dynamic range images exposure bias value acquisition device provided by the embodiments of the present application.
As shown in fig. 6, the high dynamic range images exposure bias value acquisition device includes：First determining module 410, second
Determining module 420, judgment module 430, third determining module 440, the 4th determining module 450.
First determining module 410 is used to determine the scene changes speed of preview screen in camera assembly.
Second determining module 420 is used for the scene changes speed according to preview screen, determines current histogram calculation frame
Rate.
Judgment module 430 is used to, according to histogram calculation frame per second, judge whether current preview picture is target picture.
Third determining module 440 is used to, when current preview picture is target picture, determine the corresponding each face of target picture
Chrominance channel histogram.
4th determining module 450 is used to, according to the corresponding each color channel histograms of target picture, determine newest deficient exposure
Light offset and overexposure offset.
In a kind of possible realization method of the present embodiment, which further includes：
First acquisition module, for after judging whether current preview picture is target picture, in current preview picture
When not being target picture, when getting shooting instruction, respectively according to the predetermined under-exposure offset of current preview picture
And overexposure offset, obtain overexposure light image and under-exposure image.
In a kind of possible realization method of the present embodiment, which further includes：
Second acquisition module, it is high dynamic for after determining newest under-exposure offset and overexposure offset, obtaining
State range image shooting instruction；
Third acquisition module, for according to newest under-exposure offset and overexposure offset, obtaining high dynamic range
Image.
In a kind of possible realization method of the present embodiment, the first determining module 410 is additionally operable to：
According to the movement speed of mobile device, the scene changes speed of preview screen in camera assembly is determined；
Alternatively,
According to location information of the current shooting main body in each preview screen, the scene of preview screen in picture shooting assembly is determined
Pace of change；
Alternatively,
According to the different information of the edge pixel in each preview screen, the scene changes of preview screen in picture shooting assembly are determined
Speed；
Alternatively,
According to the raw image data in image processor in mobile device, the scene of preview screen in picture shooting assembly is determined
Pace of change.
In a kind of possible realization method of the present embodiment, the second determining module 420 is additionally operable to：
When scene pace of change is more than first threshold, target picture interval frame in current histogram calculation frame per second is determined
Quantity is N；
When scene pace of change is less than first threshold, target picture interval frame in current histogram calculation frame per second is determined
Quantity is M；
Wherein, N and M is positive integer, and N is more than M.
In a kind of possible realization method of the present embodiment, each color channel histograms include the difference under each Color Channel
The correspondence of brightness and pixel ratio；4th determining module 450 is additionally operable to：
According under preset normal exposure luminance threshold, pixel ratio threshold value and each Color Channel different brightness and picture
The correspondence of plain ratio determines the under-exposure degree and overexposure degree of target picture；
According to the under-exposure degree and overexposure degree of target picture, determine that current under-exposure offset and overexposure are mended
Repay value.
It should be noted that the aforementioned explanation to high dynamic range images exposure compensating value-acquiring method embodiment
Suitable for the high dynamic range images exposure bias value acquisition device of the embodiment, realization principle is similar, and details are not described herein again.
The high dynamic range images exposure bias value acquisition device that the embodiment of the present application proposes, by determining in camera assembly
The scene changes speed of preview screen determines current histogram calculation frame per second, root according to the scene changes speed of preview screen
According to histogram calculation frame per second, judge whether current preview picture is target picture, if so, determining the corresponding each face of target picture
Chrominance channel histogram determines newest under-exposure offset and overexposure according to the corresponding each color channel histograms of target picture
Light offset.In the present embodiment, by the scene changes speed according to preview screen in camera assembly, histogram calculation frame is determined
Rate, and then according to histogram calculation frame per second, statistics with histogram only is carried out to target picture, and corresponding each according only to target picture
Color channel histograms determine newest under-exposure offset and overexposure offset.Height to not only ensure that shooting is dynamic
State range image can really reflect current photographed scene, and reduce the calculation amount of statistics with histogram.
In order to realize that above-described embodiment, the application also propose a kind of mobile device.Fig. 7 is provided by the embodiments of the present application one
The structural schematic diagram of kind mobile device.
As shown in fig. 7, the mobile device includes：Memory 510, processor 520 and camera assembly 530；
Camera assembly 530, for acquiring preview screen；
Memory 510, for storing executable program code；
Processor 520, runs and executable program code for reading the executable program code stored in memory
Corresponding program, for realizing the high dynamic range images exposure compensating value-acquiring method as described in above-described embodiment.
In order to realize that above-described embodiment, the application also propose a kind of computer readable storage medium, it is stored thereon with calculating
Machine program realizes the high dynamic range images exposure compensating as described in above-described embodiment when the computer program is executed by processor
Value-acquiring method.
In the description of this specification, term " first ", " second " are used for description purposes only, and should not be understood as instruction or
It implies relative importance or implicitly indicates the quantity of indicated technical characteristic.The spy of " first ", " second " is defined as a result,
Sign can explicitly or implicitly include at least one of the features.In the description of the present application, the meaning of " plurality " is at least two
It is a, such as two, three etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable
Sequence, include according to involved function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be by the application
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (system of such as computer based system including processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicating, propagating or passing
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium includes following：Electricity with one or more wiring
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can be for example by carrying out optical scanner to paper or other media, then into edlin, interpretation or when necessary with it
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also
That each unit physically exists alone, can also two or more units be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and when sold or used as an independent product, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
Embodiments herein is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as the limit to the application
System, those skilled in the art can be changed above-described embodiment, change, replace and become within the scope of application
Type.
Claims (10)
1. a kind of high dynamic range images exposure compensating value-acquiring method, special applied to the mobile device for including camera assembly
Sign is, including：
Determine the scene changes speed of preview screen in the camera assembly；
According to the scene changes speed of the preview screen, current histogram calculation frame per second is determined；
According to the histogram calculation frame per second, judge whether current preview picture is target picture；
If so, determining the corresponding each color channel histograms of the target picture；
According to the corresponding each color channel histograms of the target picture, newest under-exposure offset and overexposure compensation are determined
Value.
2. the method as described in claim 1, which is characterized in that it is described judge current preview picture whether be target picture it
Afterwards, further include：
If it is not, then when getting shooting instruction, respectively according to the predetermined under-exposure offset of current preview picture and mistake
Exposure bias value obtains overexposure light image and under-exposure image.
3. the method as described in claim 1, which is characterized in that the newest under-exposure offset of the determination and overexposure compensation
After value, further include：
Obtain high dynamic range images shooting instruction；
According to the newest under-exposure offset and overexposure offset, high dynamic range images are obtained.
4. the method as described in claim 1, which is characterized in that the scene of preview screen becomes in the determination camera assembly
Change speed, including：
According to the movement speed of the mobile device, the scene changes speed of preview screen in the camera assembly is determined；
Alternatively,
According to location information of the current shooting main body in each preview screen, the scene of preview screen in the picture shooting assembly is determined
Pace of change；
Alternatively,
According to the different information of the edge pixel in each preview screen, the scene changes of preview screen in the picture shooting assembly are determined
Speed；
Alternatively,
According to the raw image data in image processor in the mobile device, preview screen in the picture shooting assembly is determined
Scene changes speed.
5. the method as described in claim 1-4 is any, which is characterized in that the scene changes speed according to the preview screen
Degree, determines current histogram calculation frame per second, including：
When the scene changes speed is more than first threshold, target picture interval frame in current histogram calculation frame per second is determined
Quantity is N；
When the scene changes speed is less than first threshold, target picture interval frame in current histogram calculation frame per second is determined
Quantity is M；
Wherein, N and M is positive integer, and N is more than M.
6. the method as described in claim 1-4 is any, which is characterized in that each color channel histograms include that each color is logical
The correspondence of different brightness and pixel ratio under road；
It is described according to the corresponding each Color Channel goal histogram of the target picture, determine current under-exposure offset and mistake
Exposure bias value, including：
According under preset normal exposure luminance threshold, pixel ratio threshold value and each Color Channel different brightness and picture
The correspondence of plain ratio determines the under-exposure degree and overexposure degree of the target picture；
According to the under-exposure degree and overexposure degree of the target picture, determine that current under-exposure offset and overexposure are mended
Repay value.
7. a kind of high dynamic range images exposure bias value acquisition device, which is characterized in that including：
First determining module, the scene changes speed for determining preview screen in camera assembly；
Second determining module determines current histogram calculation frame per second for the scene changes speed according to the preview screen；
Judgment module, for according to the histogram calculation frame per second, judging whether current preview picture is target picture；
Third determining module, for when current preview picture is target picture, determining the corresponding each color of the target picture
Channel histogram；
4th determining module, for according to the corresponding each color channel histograms of the target picture, determining newest under-exposure
Offset and overexposure offset.
8. device as claimed in claim 7, which is characterized in that further include：
Acquisition module, for it is described judge whether current preview picture is target picture after, be not in current preview picture
When target picture, when getting shooting instruction, respectively according to the predetermined under-exposure offset of current preview picture and mistake
Exposure bias value obtains overexposure light image and under-exposure image.
9. a kind of mobile device, which is characterized in that including：Memory, processor and camera assembly；
The camera assembly, for acquiring preview screen；
The memory, for storing executable program code；
The processor is run and the executable program for reading the executable program code stored in the memory
The corresponding program of code, for realizing that the high dynamic range images exposure bias value as described in claim 1-6 is any obtains
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The high dynamic range images exposure compensating value-acquiring method as described in claim 1-6 is any is realized when processor executes.
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