CN110519522A - Method, apparatus, equipment and the storage medium of the anti-overexposure processing of video - Google Patents

Method, apparatus, equipment and the storage medium of the anti-overexposure processing of video Download PDF

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Publication number
CN110519522A
CN110519522A CN201910730041.9A CN201910730041A CN110519522A CN 110519522 A CN110519522 A CN 110519522A CN 201910730041 A CN201910730041 A CN 201910730041A CN 110519522 A CN110519522 A CN 110519522A
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video
value
overexposure
frame
brightness
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CN201910730041.9A
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CN110519522B (en
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陈铨
黄澄琛
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Zhejiang Dahua Technology Co Ltd
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Zhejiang Dahua Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/71Circuitry for evaluating the brightness variation

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)

Abstract

This application discloses method, apparatus, equipment and the storage mediums of a kind of anti-overexposure processing of video, belong to technical field of image processing.The described method includes: obtaining the first video frame in the target video during photographic subjects video;First video frame is divided at least two image-regions, and obtains the brightness value of each image-region, obtains at least two zone luminance values;Maximum region brightness value is obtained from least two zone luminance value, and according to the comparison result of the maximum region brightness value and the first luminance threshold, anti-overexposure processing is carried out to the target video.Technical solution provided by the embodiments of the present application can solve the poor problem of the anti-overexposure treatment effect of video.

Description

Method, apparatus, equipment and the storage medium of the anti-overexposure processing of video
Technical field
This application involves technical field of image processing, the method, apparatus handled more particularly to a kind of anti-overexposure of video is set Standby and storage medium.
Background technique
During video capture, the phenomenon that often will appear video overexposure, so-called video overexposure refers to that video is drawn The phenomenon that brightness in face is excessively high, and video pictures whiten.When there is video overexposure phenomenon, the picture in video can be difficult to be seen Clearly, therefore, the shooting effect of video can be seriously affected.In practical application, in order to guarantee the shooting effect of video, in video capture The phenomenon that it is usually necessary to use some means in the process to prevent video overexposure.
In the related technology, video camera can obtain the video frame in video, and obtain video during video capture The average brightness value of entire picture in frame, when the average brightness value is greater than preset a certain luminance threshold, video camera is true The fixed video shot is it is possible that overexposure phenomenon, in this case, video camera can to the video shot into The anti-overexposure processing of row.
However, determining whether video is likely to occur overexposure phenomenon using the average brightness value of entire picture in video frame Accuracy rate is lower, poor so as to cause the effect for carrying out anti-overexposure processing to video.
Summary of the invention
Based on this, it is necessary to for the problem that the anti-overexposure treatment effect of video is poor, provide a kind of anti-overexposure processing of video Method, apparatus, equipment and storage medium.
In a first aspect, a kind of processing method of anti-overexposure of video is provided, this method comprises:
During photographic subjects video, the first video frame in the target video is obtained;
First video frame is divided at least two image-regions, and obtains the brightness value of each image-region, is obtained To at least two zone luminance values;
Maximum region brightness value is obtained from least two zone luminance value, and according to the maximum region brightness value and the The comparison result of one luminance threshold carries out anti-overexposure processing to the target video.
The comparison result according to the maximum region brightness value and the first luminance threshold in one of the embodiments, it is right The target video carries out anti-overexposure processing, comprising:
When the maximum region brightness value is greater than or equal to first luminance threshold, which is carried out at anti-overexposure Reason.
The comparison result according to the maximum region brightness value and the first luminance threshold in one of the embodiments, it is right The target video carries out anti-overexposure processing, comprising:
When the maximum region brightness value of n adjacent in timing the first video frames in the target video is all larger than or waits When first luminance threshold, anti-overexposure processing is carried out to the target video, n is the positive integer greater than 1.
After this carries out anti-overexposure processing to the target video in one of the embodiments, this method further include:
Obtain anti-overexposure treated the second video frame in target video;
Dark portion image-region of the brightness value less than the second luminance threshold is determined in second video frame;
Increase processing is carried out to the brightness value of the dark portion image-region.
This carries out anti-overexposure processing to the target video in one of the embodiments, comprising:
Obtain the frame brightness drop-out value in the unit time;
According to the frame brightness drop-out value in the unit time, to be located in timing in the target video first video frame it The brightness value of video frame afterwards carries out reduction processing.
This is according to the frame brightness drop-out value in the unit time in one of the embodiments, when in the target video The brightness value for being located at the video frame after first video frame in sequence carries out reduction processing, comprising:
Bat at the time of obtaining the shooting for the video frame being located at after first video frame in timing with first video frame Take the photograph the duration between the moment;
The product of frame brightness drop-out value in the duration and the unit time is determined as frame brightness decline total value;
According to the frame brightness decline total value in the timing be located at first video frame after video frame brightness value into Row reduction processing, brightness value reduces the maximum region brightness value of treated video frame and the maximum region of first video frame is bright The difference of angle value is equal to the frame brightness and declines total value.
Frame brightness drop-out value in the acquisition unit time in one of the embodiments, comprising:
Obtain the maximum region brightness value of the first video frame and the difference of first luminance threshold;
Obtain preset anti-overexposure handling duration;
Using the ratio of the difference and the anti-overexposure handling duration as the frame brightness drop-out value in the unit time.
In one of the embodiments, in white light camera, which to include white light and image sensing Device, this carries out anti-overexposure processing to the target video, comprising:
Reduction processing is carried out to the brightness of the white light, and/or, the yield value of the imaging sensor is carried out at reduction Reason.
Second aspect, provides a kind of device of anti-overexposure processing of video, which includes:
First obtains module, for obtaining the first video frame in the target video during photographic subjects video;
Second obtains module, for first video frame to be divided at least two image-regions, and obtains each figure As the brightness value in region, at least two zone luminance values are obtained;
Determining module, for obtaining maximum region brightness value from least two zone luminance value, and according to the maximum The comparison result of zone luminance value and the first luminance threshold carries out anti-overexposure processing to the target video.
The third aspect, provides a kind of computer equipment, including memory and processor, which is stored with computer Program, which is characterized in that the computer program realizes that any video of above-mentioned first aspect is prevented when being executed by the processor Overexposure processing method.
Fourth aspect provides a kind of computer readable storage medium, is stored thereon with computer program, and feature exists In the program realizes above-mentioned first aspect any video anti-overexposure processing method when being executed by processor.
Technical solution bring beneficial effect provided by the embodiments of the present application includes at least:
By during photographic subjects video, obtaining the first video frame of the target video, then, this first is regarded Frequency frame is divided at least two image-regions, and obtains the brightness value of each image-region, so that it is bright to obtain at least two regions Angle value then carries out anti-overexposure processing to target video according to the maximum region brightness value at least two zone luminance value, In this way, that is to say when the picture brightness of the regional area of the first video frame in target video is excessively high, when in target video first When the regional area of video frame is likely to occur overexposure, no matter the average brightness of the entire picture of first video frame that be height be is low, Anti- overexposure processing can be carried out to target video, this can improve whether determining target video is likely to occur overexposure phenomenon Accuracy rate then improves the effect that anti-overexposure processing is carried out to target video.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the anti-overexposure processing method of video provided by the embodiments of the present application;
Fig. 2 is a kind of schematic diagram of grid provided by the embodiments of the present application;
Fig. 3 is a kind of flow chart of the anti-overexposure processing method of video provided by the embodiments of the present application;
Fig. 4 is a kind of flow chart of the anti-overexposure processing method of video provided by the embodiments of the present application;
Fig. 5 is a kind of block diagram of the anti-overexposure processing unit of video provided by the embodiments of the present application;
Fig. 6 is a kind of block diagram of the anti-overexposure processing unit of video provided by the embodiments of the present application;
Fig. 7 is a kind of block diagram of computer equipment provided by the embodiments of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with attached drawing to the application embodiment party Formula is described in further detail.
Video camera is a kind of for shooting the electronic equipment of video, currently, monitoring safety-security area have been obtained compared with To be widely applied.In practical application, video camera is at low light environment (such as night-environment, haze environment or overcast and rainy environment) Under shooting effect it is usually poor, this is because the object in environment is (for example, face or vehicle in the lower situation of illumination Etc.) to video camera reflect light light intensity it is typically small, light of the video camera based on the smaller light intensity is in video to object Body imaging is often more fuzzy.
In order to guarantee the shooting effect under low light environment, light fixture can be installed in video camera, for example, the illumination Component can be white light or infrared lamp etc..When ambient light illumination is lower, video camera can open the illumination of itself installation Component can be improved the object in environment by light filling and reflect to video camera to carry out light filling to environment using the light fixture Light light intensity.Light of the video camera based on the raising light intensity is typically more clear to object imaging in video, this Ensure that the shooting effect of video camera under low light environment.
However, in practical application, after carrying out light filling by light fixture, what the object in environment was reflected to video camera The light intensity of light may be excessive, and in this case, the video of video camera shooting is likely to overexposure phenomenon occur.Occurred The shooting effect of video can be seriously affected by exposing phenomenon, and therefore, during video capture, video camera usually requires to take Means are come the phenomenon that preventing video overexposure.
In the related technology, during shooting video, video camera can obtain video frame from the video and then take the photograph The average brightness value of entire picture in the available video frame of camera.When the average brightness value is greater than preset a certain brightness When threshold value, video camera determines the video shot it is possible that overexposure phenomenon, in this case, video camera can be to just Anti- overexposure processing is carried out in the video of shooting.
Wherein, the mode that video camera obtains the average brightness value of entire picture in video frame in the related technology can be with are as follows: takes the photograph Camera is that picture area different in video frame distributes different luminance weights values, for example, video camera can be quick in video frame The higher picture area of object (for example, face or license plate etc.) probability of occurrence is felt (for example, the picture area is video frame lower half The Delta Region in portion) the higher weighted value of distribution, and it is lower for the lower region distribution of allergen probability of occurrence in video frame Weighted value.Then, for each of video frame picture area, video camera can calculate the brightness value of the picture area, And brightness value weighted value corresponding with picture area is multiplied, it obtains picture area and divides brightness value.Then, video camera can incite somebody to action The picture area of each picture area divides added luminance, to obtain the average brightness value of entire picture in video frame.
However, in many cases, the average brightness value of video frame entire picture can not accurately reflect that video is No possibility overexposure.
For example, in some cases, distance of the certain objects (for example, face or vehicle etc.) apart from video camera in environment It is relatively close, and distance of the other object (for example, trees or building etc.) apart from video camera in environment is farther out, distance is taken the photograph The light intensity for the light that the closer object of camera is reflected back to video camera is larger, and anti-to video camera apart from the farther away object of video camera The light intensity for the light being emitted back towards is smaller.In this case, in the video of video camera shooting apart from video camera closer object institute at Picture brightness it is higher, the brightness apart from the farther away object imaging of video camera is smaller.And due to the video of video camera shooting The middle brightness apart from the farther away object imaging of video camera is smaller, therefore, apart from the closer object imaging of video camera Brightness is excessively high, that is to say in the case where there is overexposure, and the average brightness value of the entire picture of video frame is but likely to smaller.
Since the average brightness value of video frame entire picture can not accurately reflect the whether possible overexposure of video, because This, in the related technology, video camera possibly can not carry out anti-overexposure processing to the video shot in time, this causes at anti-overexposure The effect of reason is poor.
The embodiment of the present application provides method, apparatus, equipment and the storage medium of a kind of anti-overexposure processing of video, Ke Yiti The effect of the high anti-overexposure processing of video.
In the anti-overexposure processing method of video provided by the embodiments of the present application, video camera can be in the mistake of photographic subjects video Cheng Zhong obtains the first video frame of the target video, and then, which can be divided at least two figures by video camera As region, and the brightness value of each image-region is obtained, to obtain at least two zone luminance values, then, video camera can be with Anti- overexposure processing is carried out to target video according to the maximum region brightness value at least two zone luminance value.In this way, working as mesh When the picture brightness of the regional area of the first video frame is excessively high in mark video, it that is to say, when the first video frame in target video When regional area is likely to occur overexposure, no matter the average brightness of the entire picture of first video frame that be height be is low, can be right Target video carries out anti-overexposure processing, this can improve the accuracy rate whether determining target video is likely to occur overexposure phenomenon, Then the effect that anti-overexposure processing is carried out to target video is improved.
In the following, by letter is carried out to implementation environment involved by the anti-overexposure processing method of video provided by the embodiments of the present application Illustrate.
Wherein, which may include video camera, and optionally, which may include that light fixture and image pass Sensor, the light fixture can be for white light or infrared lamps etc., which can receive in environment object to taking the photograph The light of camera reflection, and according to the image formation by rays, to realize the shooting to object in environment.
In the embodiment of the present application, video camera can use itself installation imaging sensor photographic subjects video, and The first video frame in target video is obtained during photographic subjects video, video camera can be according to the maximum of the first video frame Zone luminance value carries out anti-overexposure processing to target video.
Referring to FIG. 1, it illustrates a kind of flow chart of the anti-overexposure processing method of video provided by the embodiments of the present application, it should The anti-overexposure processing method of video can be applied in implementation environment described above.As shown in Figure 1, the anti-overexposure processing side of the video Method may comprise steps of:
Step 101, the first video frame during photographic subjects video, in video camera acquisition target video.
As described above, can be equipped with imaging sensor in video camera, video camera can use imaging sensor shooting Target video.The first video frame during target video shooting, in the available target video of video camera.
First video frame is divided at least two image-regions by step 102, video camera, and obtains each image-region Brightness value obtains at least two zone luminance values.
In a step 102, video camera can be split the first video frame got, and optionally, video camera is to One video frame, which is split used all cut-off rules, can form a grid, be illustrated in figure 2 a kind of example of the grid The schematic diagram of property.
Video camera is split rear available at least two image-region, at least two image district to the first video frame Domain can form first video frame.In the embodiment of the present application, for the simplified cutting procedure to the first video frame, video camera It can be rectangle to each image-region that the first video frame is split, and, video camera carries out the first video frame The area for dividing obtained each image-region can be equal.
After being split to obtain at least two image-regions to the first video frame, the available each image of video camera The brightness value in region, to obtain at least two zone luminance values.
In one possible implementation, the mode that video camera obtains the brightness value of a certain image-region can be with are as follows: takes the photograph Camera obtains the pixel value for all pixels being located in the image-region, wherein the pixel value of each pixel may include R (red Color), the corresponding sub-pixel value of three Color Channels of G (green) and B (blue) institute, the available each pixel of video camera The corresponding sub-pixel value of G Color Channel, and the corresponding sub-pixel value of G Color Channel is determined as to the brightness value of pixel, then, Video camera will be located at the added luminance of all pixels in the image-region, to obtain the brightness value of the image-region.
In alternatively possible implementation, the mode that video camera obtains the brightness value of a certain image-region can be with are as follows: Video camera obtains the pixel value for all pixels being located in the image-region, then, the R face of the available each pixel of video camera The corresponding sub-pixel value in chrominance channel, the corresponding sub-pixel value of G Color Channel and the corresponding sub-pixel value of B color channel and value, And this and value are determined as to the brightness value of pixel, then, video camera can will be located at the bright of all pixels in the image-region Angle value is added, to obtain the brightness value of the image-region.
In another possible implementation, the mode that video camera obtains the brightness value of a certain image-region can be with are as follows: Video camera obtains m at random from the pixel being located in the image-region, and (m is the positive integer less than q, and q is in the image-region The number of all pixels) a pixel, then, the G Color Channel of each pixel is corresponding in the available m pixel of video camera Sub-pixel value, and the corresponding sub-pixel value of G Color Channel is determined as to the brightness value of pixel, then, video camera is by the m picture The added luminance of element, to obtain the brightness value of the image-region.
Step 103, video camera obtain maximum region brightness value from least two zone luminance values, and according to the maximum area The comparison result of domain brightness value and the first luminance threshold carries out anti-overexposure processing to target video.
In one possible implementation, video camera can obtain one first from target video in a step 101 Video frame, when the maximum region brightness value of first video frame is greater than or equal to the first luminance threshold, video camera can be with Anti- overexposure processing is carried out to target video.
In this implementation, when video camera determines the maximum region brightness of first video frame in target video When value is greater than or equal to the first luminance threshold, video camera can carry out anti-overexposure processing to target video.Due to target video In first video frame maximum region brightness value be greater than or equal to the first luminance threshold when, target video is possible to go out Existing overexposure, therefore, in this case, video camera can carry out anti-overexposure processing to target video immediately, can be improved in this way The efficiency of anti-overexposure processing is carried out to target video.
In alternatively possible implementation, video camera can be obtained from target video in timing in a step 101 Upper adjacent n the first video frame (n is the positive integer greater than 1), when the maximum region brightness value of the n the first video frames is big When the first luminance threshold, video camera carries out anti-overexposure processing to target video.
In this implementation, when video camera determines that the maximum region of continuous n the first video frames in target video is bright When angle value is all larger than or is equal to the first luminance threshold, video camera can carry out anti-overexposure processing to target video.Since target regards When the maximum region brightness value of continuous n the first video frames is all larger than or is equal to the first luminance threshold in frequency, target video occurs A possibility that overexposure, is larger, and therefore, in this case, video camera can carry out anti-overexposure processing to target video.This In implementation, since video camera only occurs just carrying out anti-mistake to target video when a possibility that overexposure is larger in target video Exposure processing, therefore video camera can be avoided mistakenly to prevent the target video of far less likely to occur overexposure to a certain extent Overexposure processing, to play the purpose for improving the effect for carrying out anti-overexposure processing to target video.
In the embodiment of the present application, above-mentioned first luminance threshold can be set in advance by technical staff, and the application is real Example is applied to be not specifically limited it.
In the embodiment of the present application, carrying out anti-overexposure processing to target video may include: the white light to video camera Brightness carries out reduction processing, and, at least one of reduction processing is carried out to the yield value of the imaging sensor of video camera.
In the anti-overexposure processing method of video provided by the embodiments of the present application, by during photographic subjects video, The first video frame of the target video is obtained, then, which is divided at least two image-regions, and obtain every The brightness value of a image-region, so that at least two zone luminance values are obtained, then, according at least two zone luminance value Maximum region brightness value anti-overexposure processing is carried out to target video, in this way, in the target video the first video frame partial zones When the picture brightness in domain is excessively high, it that is to say, when the regional area of the first video frame in target video is likely to occur overexposure, no matter The average brightness of the entire picture of first video frame be height be it is low, anti-overexposure processing can be carried out to target video, this is just The accuracy rate whether determining target video is likely to occur overexposure phenomenon can be improved, then improve and anti-mistake is carried out to target video Expose the effect of processing.
Referring to FIG. 3, it illustrates the flow chart of the anti-overexposure processing method of another video provided by the embodiments of the present application, The anti-overexposure processing method of the video can be applied in implementation environment described above.As shown in figure 3, in implementation described above On the basis of example, when video camera is according to the maximum region brightness value of the first video frame and the comparison result of the first luminance threshold, really Surely after needing to carry out anti-overexposure to target video, the technical process that video camera carries out anti-overexposure processing to target video be can wrap It includes:
Step 201, video camera obtain the frame brightness drop-out value in the unit time.
In the embodiment of the present application, anti-overexposure processing is carried out to target video to refer to: target being regarded using some means It is located at the video frame (describing for convenience, be hereafter referred to as subsequent video frame) after the first video frame in frequency in timing Brightness value carries out reduction processing, so that subsequent video frame be avoided overexposure occur.
For example, it is assumed that the first video frame is p-th of video frame in target video, then target video is carried out at anti-overexposure Reason refers to: being subtracted using brightness value of some means to the video frame after being located at p-th of video frame in target video Small processing, so that the video frame after p-th of video frame be avoided overexposure occur.
Wherein, as described above, " some means " above may include: to subtract to the brightness of the white light of video camera Small processing, and, at least one of reduction processing is carried out to the yield value of the imaging sensor of video camera.
During carrying out anti-overexposure processing to target video, video camera can be incrementally decreased the bright of subsequent video frame Angle value, until video camera is completed to target when the maximum region brightness value of subsequent video frame is less than or equal to the first luminance threshold The anti-overexposure of video is handled.
For example, it is assumed that the first video frame is p-th of video frame in target video, then video camera can be progressively decreased this The brightness value of continuous k video frame after p-th of video frame carries out at reduction in the brightness value of k video frame continuous to this After reason, the maximum region brightness value of+k video frames of pth in target video is less than or equal to the first luminance threshold, at this point, taking the photograph Camera is completed to handle the anti-overexposure of target video.
Frame brightness decline in order to be gradually reduced the brightness value of subsequent video frame, in the video camera available unit time Value, wherein so-called " the frame brightness drop-out value in the unit time " refers to during the processing of anti-overexposure, after the unit time is interior The drop-out value of the brightness of continuous video frame, optionally, the unit time can be the shooting of two adjacent video frames in target video Duration between moment.
In one possible implementation, technical staff can in advance to the frame brightness drop-out value in the unit time into Row setting, then in step 201, the frame brightness decline in the available technical staff of video camera preset unit time Value.
In alternatively possible implementation, technical staff can in advance be set anti-overexposure handling duration, should Anti- overexposure handling duration refers to that video camera carries out the required duration of anti-overexposure processing, that is to say, video camera starts to carry out anti-mistake Processing is exposed to the duration completed between anti-overexposure processing.In the example above, what which referred to can be camera shooting Machine carries out duration needed for reducing processing to the brightness value of the continuous k video frame.
In step 201, available preset anti-overexposure handling duration of video camera, meanwhile, video camera is available Difference between first luminance threshold and the maximum region brightness value of the first video frame, then, video camera can by the difference with The ratio of the anti-overexposure handling duration is as the frame brightness drop-out value in the unit time.
Step 202, video camera subtract the brightness value of subsequent video frame according to the frame brightness drop-out value in the unit time Small processing.
In one possible implementation, during carrying out anti-overexposure processing to target video, video camera can be obtained Duration at the time of taking subsequent video frame to shoot between the shooting time of the first video frame.Then, when video camera can be by this The long product with the frame brightness drop-out value in the unit time is determined as frame brightness decline total value.Then, video camera can be according to this Frame brightness decline total value carries out reduction processing to the brightness value of subsequent video frame, so that brightness value reduces treated subsequent video The difference of the maximum region brightness value of the maximum region brightness value and the first video frame of frame is equal to the frame brightness and declines total value.
For example, it is assumed that the first video frame is p-th of video frame in target video, the then subsequent video frame that video camera obtains It can be located in the continuous k video frame after p-th of video frame, if the shooting time of p-th of video frame is t1, after this The shooting time of continuous video frame is t2, then the difference r between video camera available t2 and t1, and after difference r is determined as Duration at the time of continuous video frame shooting between the shooting time of the first video frame.Then, video camera can by difference r with The product of frame brightness drop-out value in unit time is determined as frame brightness decline total value z.Then, video camera can be to subsequent video The brightness value of frame carries out reduction processing, the maximum region brightness value and p-th of video frame of the subsequent video frame that reduces that treated Maximum region brightness value difference be equal to the frame brightness decline total value z.
Wherein, the maximum of the acquisition modes of the maximum region brightness value of subsequent video frame and the first video frame described above Similarly, details are not described herein for the embodiment of the present application for the acquisition modes of zone luminance value.
In one embodiment of the application, carrying out reduction processing to the brightness value of subsequent video frame may include: to rear The corresponding sub-pixel value of R Color Channel, the corresponding sub-pixel value of G Color Channel and the B color channel pair of pixel in continuous video frame The sub-pixel value answered carries out reduction processing.
In the anti-overexposure processing method of video provided by the embodiments of the present application, in the mistake for carrying out anti-overexposure processing to target video Cheng Zhong, video camera can be incrementally decreased the brightness value of subsequent video frame according to the frame brightness drop-out value in the unit time, in this way Rapid drawdown can occur to avoid the brightness value of subsequent video frame, so as to avoid target video from brightness jump occur, then avoid Influence the shooting effect of target video.
Referring to FIG. 4, it illustrates the flow chart of the anti-overexposure processing method of another video provided by the embodiments of the present application, The anti-overexposure processing method of the video can be applied in implementation environment described above.As shown in figure 4, in implementation described above On the basis of example, after above-mentioned steps 103, the anti-overexposure processing method of video further include:
Step 301, video camera obtain anti-overexposure treated the second video frame in target video.
As described above, video camera can reduce subsequent video frame during carrying out anti-overexposure processing to target video Brightness value, so that subsequent video frame be avoided overexposure occur.
However, being likely that there are original brightness value in subsequent video frame with regard to lower image-region, to subsequent video frame Brightness value carry out reduction processing during, which can further drop with regard to the brightness value of lower image-region It is low, lower image-region is difficult to by it is clear that this allows for the original brightness value with regard to lower so as to cause the original brightness value Image-region in many details can be lost.In order to avoid there is above situation, guarantee the shooting effect of target video, originally Apply for that embodiment after carrying out anti-overexposure processing to target video, can carry out the lower region of brightness value in subsequent video frame Highlight processing.
In order to carry out highlighting processing to the lower region of brightness value in subsequent video frame, video camera can execute step 301 Technical process, that is to say, the second video frame in the available anti-overexposure of video camera treated target video, second view Frequency frame that is to say the video frame in subsequent video frame described above.
Step 302, video camera determine dark portion image-region of the brightness value less than the second luminance threshold in the second video frame.
In one possible implementation, in available second video frame of video camera each pixel brightness value, and Afterwards, video camera can obtain brightness value less than the pixel of the second luminance threshold from all pixels that the second video frame includes, and connect , video camera can be obtained by brightness value in the second video frame less than the dark portion image district that the pixel of the second luminance threshold forms Domain.
In alternatively possible implementation, the second video frame can be divided at least two image districts by video camera Domain, and obtain the brightness value of each image-region, then, video camera can image districts by brightness value less than the second luminance threshold Domain is determined as dark portion image-region.
In another possible implementation, video camera can be according to certain rules from the not same district of the second video frame Multiple pixels are obtained in domain, video camera can obtain brightness value less than the pixel of the second luminance threshold from multiple pixel, connect , it includes dark portion figure of all brightness values less than the pixel of the second luminance threshold that video camera can be obtained from the second video frame As region.
It should be pointed out that the second luminance threshold described above can be set in advance by technical staff, the application Embodiment is not specifically limited it.Wherein, second luminance threshold is less than the first luminance threshold.
It may also be noted that with it is described above similarly, what the brightness value of pixel referred to can be pixel G Color Channel To right sub-pixel value, alternatively, the brightness value of pixel refer to can be the corresponding sub-pixel value of pixel R Color Channel, G face The corresponding sub-pixel value in chrominance channel and the corresponding sub-pixel value of B color channel and value.
It may also be noted that step 302 in image-region brightness value acquisition modes and step 102 in image-region Brightness value acquisition modes similarly, details are not described herein for the embodiment of the present application.
Step 303, video camera carry out increase processing to the brightness value of dark portion image-region.
Video camera can highlight brightness of the technology (English: local tone mapping) to the dark portion region using part Value carries out increase processing.
Optionally, in one embodiment of the application, video camera carries out at increase the brightness value of dark portion image-region Reason may include: the corresponding sub- picture of the corresponding sub-pixel value of R Color Channel, G Color Channel to pixel in dark portion image-region Plain value and the corresponding sub-pixel value of B color channel carry out increase processing.
In the anti-overexposure processing method of video provided by the embodiments of the present application, video camera can dark portion figure to the second video frame As the brightness value in region carries out increase processing, to guarantee after carrying out anti-overexposure processing to target video, the dark portion image Region it is clear that the details in the dark portion image-region can be retained, can then be guaranteed the shooting effect of target video Fruit.
Referring to FIG. 5, it illustrates a kind of block diagram of the anti-overexposure processing unit 400 of video provided by the embodiments of the present application, The anti-overexposure processing unit 400 of the video can be configured in video camera.As shown in figure 5, the anti-overexposure processing unit 400 of the video can To include: that the first acquisition module 401, second obtains module 402 and determining module 403.
Wherein, the first acquisition module 401, for obtaining in the target video during photographic subjects video First video frame.
The second acquisition module 402, for first video frame to be divided at least two image-regions, and obtains each The brightness value of the image-region obtains at least two zone luminance values.
The determining module 403, for obtaining maximum region brightness value from least two zone luminance value, and according to this The comparison result of maximum region brightness value and the first luminance threshold carries out anti-overexposure processing to the target video.
In one embodiment of the application, which is specifically used for: when the maximum region brightness value is greater than Or when being equal to first luminance threshold, anti-overexposure processing is carried out to the target video.
In one embodiment of the application, which is specifically used for: when in the target video in timing When the maximum region brightness value of upper adjacent n the first video frame is all larger than or is equal to first luminance threshold, which is regarded Frequency carries out anti-overexposure processing, and n is the positive integer greater than 1.
With reference to Fig. 6, the embodiment of the present application also provides a kind of anti-overexposure processing unit 500 of video, at the anti-overexposure of the video Reason device 500 can also include brightness value optionally including the anti-overexposure processing unit 400 of video other than each module for including Increase module 404 and anti-overexposure processing module 405.
Wherein, which increases module 404, is used for: obtaining anti-overexposure treated the second video in target video Frame;Dark portion image-region of the brightness value less than the second luminance threshold is determined in second video frame;To the dark portion image-region Brightness value carry out increase processing.
The anti-overexposure processing module 405, is used for: obtaining the frame brightness drop-out value in the unit time;According to the unit time Interior frame brightness drop-out value carries out the brightness value of the video frame in timing in the target video after first video frame Reduction processing.
The anti-overexposure processing module 405, is used for: reduction processing is carried out to the brightness of white light, and/or, to image sensing The yield value of device carries out reduction processing.
In one embodiment of the application, which is specifically used for: obtaining and is located at the in timing The duration at the time of shooting of video frame after one video frame between the shooting time of first video frame;By the duration with The product of frame brightness drop-out value in the unit time is determined as frame brightness decline total value;Decline total value to this according to the frame brightness The brightness value for being located at the video frame after the first video frame in timing carries out reduction processing, video frame that brightness value reduces that treated Maximum region brightness value and first video frame maximum region brightness value difference be equal to the frame brightness decline total value.
In one embodiment of the application, which is specifically used for: obtaining the first video frame The difference of maximum region brightness value and first luminance threshold;Obtain preset anti-overexposure handling duration;The difference is prevented with this The ratio of overexposure handling duration is determined as the frame brightness drop-out value in the unit time.
Above method embodiment may be implemented in the anti-overexposure processing unit of video provided by the embodiments of the present application, realizes former Reason is similar with technical effect, and details are not described herein.
Specific restriction about the anti-overexposure processing unit of video may refer to above for the anti-overexposure processing method of video Restriction, details are not described herein.Modules in the above-mentioned anti-overexposure processing unit of video can be fully or partially through software, hard Part and combinations thereof is realized.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, It can also be stored in a software form in the memory in computer equipment, execute the above modules in order to which processor calls Corresponding operation.
In one embodiment of the application, a kind of computer equipment is provided, which can be video camera, Its internal structure chart can be as shown in Figure 7.The computer equipment includes processor, the memory, figure connected by system bus As sensor and light fixture, optionally, which can be white light or infrared lamp etc..Wherein, the computer The processor of equipment is for providing calculating and control ability.The memory of the computer equipment include non-volatile memory medium, Built-in storage.The non-volatile memory medium is stored with operating system and computer program.The built-in storage is non-volatile deposits The operation of operating system and computer program in storage media provides environment.To realize when the computer program is executed by processor A kind of anti-overexposure processing method of video.
It will be understood by those skilled in the art that structure shown in Fig. 7, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment of the application, a kind of computer equipment is provided, which can be video camera, The computer equipment includes memory and processor, is stored with computer program in memory, which executes computer journey It is performed the steps of when sequence
During photographic subjects video, the first video frame in the target video is obtained;
First video frame is divided at least two image-regions, and obtains the brightness value of each image-region, is obtained To at least two zone luminance values;
Maximum region brightness value is obtained from least two zone luminance value, and according to the maximum region brightness value and the The comparison result of one luminance threshold carries out anti-overexposure processing to the target video.
In one embodiment of the application, processor is also performed the steps of when executing computer program when the maximum When zone luminance value is greater than or equal to first luminance threshold, anti-overexposure processing is carried out to the target video.
In one embodiment of the application, processor is also performed the steps of when executing computer program when the target The maximum region brightness value of n adjacent in timing the first video frames in video is all larger than or is equal to first luminance threshold When, anti-overexposure processing is carried out to the target video, n is the positive integer greater than 1.
In one embodiment of the application, processor also performs the steps of when executing computer program obtains anti-mistake Expose the second video frame in treated target video;Determine brightness value less than the second luminance threshold in second video frame Dark portion image-region;Increase processing is carried out to the brightness value of the dark portion image-region.
In one embodiment of the application, processor also performs the steps of acquisition unit when executing computer program Frame brightness drop-out value in time;According to the frame brightness drop-out value in the unit time, to being located in timing in the target video The brightness value of video frame after first video frame carries out reduction processing.
In one embodiment of the application, processor also performs the steps of acquisition timing when executing computer program The duration at the time of shooting of the upper video frame after the first video frame between the shooting time of first video frame;It will The product of frame brightness drop-out value in the duration and the unit time is determined as frame brightness decline total value;Declined according to the frame brightness The brightness value of the total value video frame after the first video frame upper to timing carries out reduction processing, and treated for brightness value reduction It is total that the difference of the maximum region brightness value of the maximum region brightness value and first video frame of video frame is equal to frame brightness decline Value.
In one embodiment of the application, processor also performs the steps of acquisition first when executing computer program The maximum region brightness value of video frame and the difference of first luminance threshold;Obtain preset anti-overexposure handling duration;By the difference The ratio of value and the anti-overexposure handling duration is determined as the frame brightness drop-out value in the unit time.
In one embodiment of the application, processor is also performed the steps of when executing computer program to the white light The brightness of lamp carries out reduction processing, and/or, reduction processing is carried out to the yield value of the imaging sensor.
Computer equipment provided by the embodiments of the present application, implementing principle and technical effect and above method embodiment class Seemingly, details are not described herein.
In one embodiment of the application, a kind of computer readable storage medium is provided, computer is stored thereon with Program performs the steps of when computer program is executed by processor
During photographic subjects video, the first video frame in the target video is obtained;
First video frame is divided at least two image-regions, and obtains the brightness value of each image-region, is obtained To at least two zone luminance values;
Maximum region brightness value is obtained from least two zone luminance value, and according to the maximum region brightness value and the The comparison result of one luminance threshold carries out anti-overexposure processing to the target video.
Also performed the steps of in one embodiment of the application, when computer program is executed by processor when this most When big zone luminance value is greater than or equal to first luminance threshold, anti-overexposure processing is carried out to the target video.
In one embodiment of the application, also perform the steps of when computer program is executed by processor when the mesh The maximum region brightness value of n adjacent in timing the first video frames in mark video is all larger than or is equal to first luminance threshold When value, anti-overexposure processing is carried out to the target video, n is the positive integer greater than 1.
It is anti-that acquisition is also performed the steps of in one embodiment of the application, when computer program is executed by processor The second video frame in overexposure treated target video;Determine brightness value less than the second luminance threshold in second video frame Dark portion image-region;Increase processing is carried out to the brightness value of the dark portion image-region.
It is single that acquisition is also performed the steps of in one embodiment of the application, when computer program is executed by processor Frame brightness drop-out value in the time of position;It is upper to timing in the target video according to the frame brightness drop-out value in the unit time The brightness value of video frame after first video frame carries out reduction processing.
When also performing the steps of acquisition in one embodiment of the application, when computer program is executed by processor The duration at the time of shooting of video frame in sequence after the first video frame between the shooting time of first video frame; The product of frame brightness drop-out value in the duration and the unit time is determined as frame brightness decline total value;According under the frame brightness Drop total value carries out reduction processing, brightness value reduction processing to the brightness value of the video frame after being located at the first video frame in the timing The difference of the maximum region brightness value of the maximum region brightness value and first video frame of video frame afterwards is equal under the frame brightness Total value drops.
Acquisition is also performed the steps of in one embodiment of the application, when computer program is executed by processor The maximum region brightness value of one video frame and the difference of first luminance threshold;Obtain preset anti-overexposure handling duration;It should The ratio of difference and the anti-overexposure handling duration is determined as the frame brightness drop-out value in the unit time.
It is also performed the steps of in one embodiment of the application, when computer program is executed by processor white to this The brightness of light lamp carries out reduction processing, and/or, reduction processing is carried out to the yield value of the imaging sensor.
Computer readable storage medium provided in this embodiment, implementing principle and technical effect and above method embodiment Similar, details are not described herein.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously The limitation to claim therefore cannot be interpreted as.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (11)

1. a kind of method of the anti-overexposure processing of video, which is characterized in that the described method includes:
During photographic subjects video, the first video frame in the target video is obtained;
First video frame is divided at least two image-regions, and obtains the brightness value in each described image region, is obtained To at least two zone luminance values;
Maximum region brightness value is obtained from least two zone luminance value, and according to the maximum region brightness value and the The comparison result of one luminance threshold carries out anti-overexposure processing to the target video.
2. the method according to claim 1, wherein described according to the maximum region brightness value and the first brightness The comparison result of threshold value carries out anti-overexposure processing to the target video, comprising:
When the maximum region brightness value is greater than or equal to first luminance threshold, anti-overexposure is carried out to the target video Processing.
3. the method according to claim 1, wherein described according to the maximum region brightness value and the first brightness The comparison result of threshold value carries out anti-overexposure processing to the target video, comprising:
When the maximum region brightness value of n adjacent in timing the first video frames in the target video is all larger than or is equal to When first luminance threshold, anti-overexposure processing is carried out to the target video, n is the positive integer greater than 1.
4. according to the method in claim 2 or 3, which is characterized in that described to carry out anti-overexposure processing to the target video Later, the method also includes:
Obtain anti-overexposure treated the second video frame in target video;
Dark portion image-region of the brightness value less than the second luminance threshold is determined in second video frame;
Increase processing is carried out to the brightness value of the dark portion image-region.
5. method according to any one of claims 1 to 3, which is characterized in that described to carry out anti-overexposure to the target video Processing, comprising:
Obtain the frame brightness drop-out value in the unit time;
According to the frame brightness drop-out value, to the video frame in timing in the target video after first video frame Brightness value carry out reduction processing.
6. according to the method described in claim 5, it is characterized in that, described to being located at described the in timing in the target video The brightness value of video frame after one video frame carries out reduction processing, comprising:
Bat at the time of obtaining the shooting for the video frame being located at after first video frame in timing with first video frame Take the photograph the duration between the moment;
Decline total value using the product of the duration and the frame brightness drop-out value as frame brightness;
It is carried out according to the brightness value that the frame brightness declines the total value video frame after first video frame upper to timing Reduction processing, brightness value reduces the maximum region brightness value of treated video frame and the maximum region of first video frame is bright The difference of angle value is equal to the frame brightness and declines total value.
7. according to the method described in claim 5, it is characterized in that, the frame brightness drop-out value obtained in the unit time, packet It includes:
Obtain the maximum region brightness value of first video frame and the difference of first luminance threshold;
Obtain preset anti-overexposure handling duration;
Using the ratio of the difference and the anti-overexposure handling duration as the frame brightness drop-out value in the unit time.
8. method according to any one of claims 1 to 3, which is characterized in that in white light camera, the white light to be imaged Machine includes white light and imaging sensor, described to carry out anti-overexposure processing to the target video, comprising:
Reduction processing is carried out to the brightness of the white light, and/or, the yield value of described image sensor is carried out at reduction Reason.
9. a kind of device of the anti-overexposure processing of video, which is characterized in that described device includes:
First obtains module, for obtaining the first video frame in the target video during photographic subjects video;
Second obtains module, for first video frame to be divided at least two image-regions, and obtains each figure As the brightness value in region, at least two zone luminance values are obtained;
Determining module, for obtaining maximum region brightness value from least two zone luminance value, and according to the maximum The comparison result of zone luminance value and the first luminance threshold carries out anti-overexposure processing to the target video.
10. a kind of computer equipment, which is characterized in that including memory and processor, the memory is stored with computer journey Sequence, which is characterized in that the computer program realizes view as described in any of the claims 1 to 8 when being executed by the processor Frequently anti-overexposure processing method.
11. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, which is characterized in that the journey Video as described in any of the claims 1 to 8 anti-overexposure processing method is realized when sequence is executed by processor.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111898532A (en) * 2020-07-30 2020-11-06 杭州海康威视数字技术股份有限公司 Image processing method and device, electronic equipment and monitoring system
CN114170169A (en) * 2021-11-30 2022-03-11 广州思德医疗科技有限公司 Light source brightness adjusting method and device, electronic equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080317372A1 (en) * 2007-06-22 2008-12-25 Samsung Electronics Co., Ltd. Method and apparatus for enhancing image, and image-processing system using the same
CN103118232A (en) * 2013-02-20 2013-05-22 浙江宇视科技有限公司 Device and method for controlling supplementary lighting
CN103826066A (en) * 2014-02-26 2014-05-28 芯原微电子(上海)有限公司 Automatic exposure adjusting method and system
CN104184957A (en) * 2014-09-17 2014-12-03 中国科学院光电技术研究所 Automatic exposure control method based on adaptive expected image average brightness and suitable for space exploration imaging
CN104881644A (en) * 2015-05-25 2015-09-02 华南理工大学 Face image acquisition method under uneven lighting condition
CN105472268A (en) * 2015-12-24 2016-04-06 Tcl集团股份有限公司 Method and device for filling light during photographing
CN105828065A (en) * 2015-01-08 2016-08-03 中国移动通信集团浙江有限公司 Method and device for detecting video picture overexposure
CN107566752A (en) * 2017-10-31 2018-01-09 努比亚技术有限公司 A kind of image pickup method, terminal and computer-readable storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080317372A1 (en) * 2007-06-22 2008-12-25 Samsung Electronics Co., Ltd. Method and apparatus for enhancing image, and image-processing system using the same
CN103118232A (en) * 2013-02-20 2013-05-22 浙江宇视科技有限公司 Device and method for controlling supplementary lighting
CN103826066A (en) * 2014-02-26 2014-05-28 芯原微电子(上海)有限公司 Automatic exposure adjusting method and system
CN104184957A (en) * 2014-09-17 2014-12-03 中国科学院光电技术研究所 Automatic exposure control method based on adaptive expected image average brightness and suitable for space exploration imaging
CN105828065A (en) * 2015-01-08 2016-08-03 中国移动通信集团浙江有限公司 Method and device for detecting video picture overexposure
CN104881644A (en) * 2015-05-25 2015-09-02 华南理工大学 Face image acquisition method under uneven lighting condition
CN105472268A (en) * 2015-12-24 2016-04-06 Tcl集团股份有限公司 Method and device for filling light during photographing
CN107566752A (en) * 2017-10-31 2018-01-09 努比亚技术有限公司 A kind of image pickup method, terminal and computer-readable storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111898532A (en) * 2020-07-30 2020-11-06 杭州海康威视数字技术股份有限公司 Image processing method and device, electronic equipment and monitoring system
CN114170169A (en) * 2021-11-30 2022-03-11 广州思德医疗科技有限公司 Light source brightness adjusting method and device, electronic equipment and storage medium

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