CN107948511A - Brightness of image processing method, device, storage medium and electronic equipment - Google Patents
Brightness of image processing method, device, storage medium and electronic equipment Download PDFInfo
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- CN107948511A CN107948511A CN201711212786.3A CN201711212786A CN107948511A CN 107948511 A CN107948511 A CN 107948511A CN 201711212786 A CN201711212786 A CN 201711212786A CN 107948511 A CN107948511 A CN 107948511A
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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
- H04N23/80—Camera processing pipelines; Components thereof
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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
- H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
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Abstract
This application involves a kind of brightness of image processing method, device, storage medium and electronic equipment.This method includes:Obtain the pending image generated by the first camera;Obtain the environmental information of the pending image as obtained from first camera and second camera;Corresponding object brightness parameter is determined according to the environmental information;Brightness processed is carried out to the pending image according to the object brightness parameter.Above-mentioned brightness of image processing method, device, storage medium and electronic equipment can improve the accuracy to brightness of image processing.
Description
Technical field
This application involves brightness of image processing technology field, more particularly to a kind of brightness of image processing method, device, deposits
Storage media and electronic equipment.
Background technology
Photographing device is when being shot, under different light environments, it is necessary to using corresponding luminance parameter, to shoot
Exquisite image.
Traditional brightness of image processing method, is shot using fixed luminance parameter, or according to base
In shooting existing environmental information in image to be generated, to calculate corresponding luminance parameter, joined according to the brightness calculated
It is several that reference object is shot so that the image showed is consistent with the brightness for the object that human eye perceives.But from this
Getable environmental information is limited in the image of shooting, therefore brightness reduction of traditional method to reference object is not accurate enough.
The content of the invention
The embodiment of the present application provides a kind of brightness of image processing method, device, storage medium and electronic equipment, can improve
The accuracy of the brightness reduction of reference object.
A kind of brightness of image processing method, including:
Obtain the pending image generated by the first camera;
Obtain the environmental information of the pending image as obtained from first camera and second camera;
Corresponding object brightness parameter is determined according to the environmental information;
Brightness processed is carried out to the pending image according to the object brightness parameter.
A kind of brightness of image processing unit, the device include:
Image collection module, for obtaining the pending image generated by the first camera;
Environmental information generation module, for obtaining the pending image as obtained from the first camera and second camera
Environmental information;
Brightness processed module, for determining corresponding object brightness parameter according to environmental information;According to object brightness parameter
Brightness processed is carried out to pending image.
A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is held by processor
The step of method described in each embodiment of the application is realized during row.
A kind of electronic equipment, including memory, processor and storage are on a memory and the meter that can run on a processor
The step of calculation machine program, the processor realizes method described in each embodiment of the application when performing the computer program.
Brightness of image processing method, device, storage medium and the electronic equipment that the embodiment of the present application is provided, when carrying out
During shooting image, while the first camera and second camera are opened, and obtain and pending image is generated by the first camera, and
Obtain the environmental information of the pending image as obtained from the first camera and second camera;Determined further according to environmental information
Corresponding object brightness parameter.It is scanned due in shooting process, additionally using second camera, utilizes the first shooting
Head and second camera common scan obtain the environmental information of pending image, so as to be provided more to calculate object brightness parameter
More reference informations, improves the accuracy of the luminance parameter calculated, so further according to luminance parameter to pending image into
Row brightness processed, also accordingly improves the accuracy to brightness of image processing.
Brief description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the applied environment figure of brightness of image processing method in one embodiment;
Fig. 2 is the internal structure schematic diagram of electronic equipment in one embodiment;
Fig. 3 is the flow chart of brightness of image processing method in one embodiment;
Fig. 4 A are the schematic diagram of pending image in one embodiment;
Fig. 4 B are the schematic diagram of the environmental information of pending image in one embodiment;
Fig. 5 is the ring that the pending image as obtained from the first camera and second camera is obtained in one embodiment
The flow chart of border information;
Fig. 6 is the flow for the ambient light illumination for calculating pending image local environment in one embodiment according to environmental information
Figure;
Fig. 7 is the flow chart for determining corresponding object brightness parameter in one embodiment according to ambient light illumination;
Fig. 8 is the flow chart of brightness of image processing method in another embodiment;
Fig. 9 is the structure diagram of brightness of image processing unit in one embodiment;
Figure 10 is the schematic diagram that circuit is shot in one embodiment.
Embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the object, technical solution and advantage of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the application, and
It is not used in restriction the application.
It is appreciated that term " first " used in the present invention, " second " etc. can be used to describe various elements herein,
But these elements should not be limited by these terms.These terms are only used to distinguish first element and another element.Citing comes
Say, without departing from the scope of the invention, the first camera can be known as second camera, and similarly, can incite somebody to action
Second camera is known as the first camera.First camera and second camera both cameras, but it is not same takes the photograph
As head.
Fig. 1 is the applied environment figure of image white balancing treatment method in one embodiment.With reference to as shown in Figure 1, electronics is set
Standby 110 can call the first camera thereon to be shot, and such as carrying out real time scan to the object 120 in environment obtains frame figure
Picture, according to the image of two field picture generation shooting.Wherein, electronic equipment may include multiple cameras, and camera is in electronics
Different parts in equipment so that electronic equipment is at identical position and moment, using the picture taken by different cameras
Face is different.For example the electronic equipment can be mobile phone, first camera and second camera are respectively the preposition shooting on mobile phone
Head and rear camera.Alternatively, one or more of cameras can also be dual camera, comprising main camera module and
Secondary camera module, realizes shooting according to the main camera module and secondary camera module, generates image jointly.Electronic equipment can
By the two field picture or the image of generation, as pending image, taken the photograph the camera for generating the pending image as first
As head.Electronic equipment also obtains the environmental information of the pending image as obtained from the first camera and second camera;Root
Corresponding object brightness parameter is determined according to environmental information;Brightness processed is carried out to pending image according to object brightness parameter.
Fig. 2 is the internal structure schematic diagram of electronic equipment in one embodiment.As shown in Fig. 2, the electronic equipment includes leading to
Cross processor, memory, display screen and the camera of system bus connection.Wherein, which, which is used to provide, calculates and controls
Ability, supports the operation of whole electronic equipment.Memory is used to store data, program etc., and at least one meter is stored on memory
Calculation machine program, the computer program can be executed by processor, to realize that what is provided in the embodiment of the present application is suitable for electronic equipment
Brightness of image processing method.Memory may include magnetic disc, CD, read-only memory (Read-Only Memory, ROM)
Deng non-volatile memory medium, or random access memory (Random-Access-Memory, RAM) etc..For example, in a reality
Apply in example, memory includes non-volatile memory medium and built-in storage.Non-volatile memory medium is stored with operating system, number
According to storehouse and computer program.It is stored with database and is used for realization a kind of brightness of image processing that following each embodiment is provided
The relevant data of method, for example the data such as image to be handled, environmental information can be stored.The computer program can be by processor institute
Perform, a kind of brightness of image processing method provided for the following each embodiment of realization.Built-in storage is non-volatile
Operating system and computer program in storage medium provide the running environment of cache.Display screen can be touch-screen, than
It is such as capacitance plate or electrical screen, for showing the visual informations such as pending image, may be utilized for detection and act on the display
The touch operation of screen, generates corresponding instruction.
It will be understood by those skilled in the art that structure shown in Figure 2, only part knot relevant with application scheme
The block diagram of structure, does not form the restriction for the electronic equipment being applied thereon to application scheme, and specific electronic equipment can be with
Including than more or fewer components shown in figure, either combining some components or being arranged with different components.Such as should
Electronic equipment may also include the network interface connected by system bus, and be led to by the network interface with miscellaneous equipment
Letter, than such as by data such as the image on the network interface and acquisition miscellaneous equipment or brightness algorithms.
In one embodiment, as shown in Figure 3, there is provided a kind of brightness of image processing method, the present embodiment is mainly with this
Method is applied to illustrate in electronic equipment as shown in Figure 1, and this method includes:
Step 302, the pending image generated by the first camera is obtained.
Pending image refers to need the image for carrying out brightness processed, can be the image that generation has been taken, can also be
Under screening-mode, two field picture is obtained by camera real time scan.
When pending image is two field picture, when electronic equipment receives the instruction for opening camera, first can be called to take the photograph
As head enters shooting state.First camera includes main camera and secondary camera.It can be taken the photograph by the main camera and/or pair
As head is scanned the object in shooting environmental, the two field picture is formed.
When pending image is that the image of generation has been taken, electronic equipment can receive shooting instruction, according to scanning
To the image of real-time two field picture generation shooting, the image of the generation is the pending image.Wherein, shooting instruction can be
Pass through the shooting instruction of the triggerings such as the related touch control operation, the pressing operation of physical button or the voice-controlled operations that detect.Touch
It can be to touch clicking operation, touch long-press operation, touch the operation such as slide, multi-point touch operation to control operation.Electronic equipment
The shooting push button that triggering is shot is can provide for, when detecting the clicking operation to the button, triggers shooting instruction.Electricity
The also predeterminable shooting voice messaging for being used to trigger the shooting instruction of sub- equipment.By calling pronunciation receiver, receive and correspond to
Voice messaging, by parsing the voice messaging, when detecting that the voice messaging is matched with the shooting voice messaging, can trigger
The shooting instruction.
Step 304, the environmental information of the pending image as obtained from the first camera and second camera is obtained.
Electronic equipment before pending image is generated by the first camera or can generate the process of pending image
In, also open second camera at the same time.It is used as jointly by the first shooting camera and second camera, to obtain
More environmental informations.Wherein, which is the information of pending image local environment, includes the field in pending image
The information on the periphery of scape and the scene.The environmental information can be embodied with the data mode of image or two field picture, in environmental information
Each pixel correspond to position in local environment, the color which is presented is that the correspondence position in the environment passes through
Camera and the color showed.When environmental information is presented in the form of image or two field picture, which is presented
What is gone out is pending image local environment.
As shown in Figure 4 A and 4 B shown in FIG., wherein, Fig. 4 A are the schematic diagram of pending image, and Fig. 4 B are the ring of the pending image
The schematic diagram of border information.Wherein, the mainly cartoon portrait presented in pending image, and contained in the environmental information
Outside the cartoon portrait, the information such as white background of plant and cartoon portrait head on both sides also comprising portrait body both sides.
It is to be appreciated that user can open the first camera and second camera carries out before shooting generates the pending image
Scanning, records and sorts out the environmental information of pending image.In one embodiment, this can further take the photograph by mobile first
As head and second camera, to record and sort out more environmental informations.
By taking mobile phone as an example, which can be front camera, and second camera can be rear camera;Or the
One camera is rear camera, and second camera is front camera.
Step 306, corresponding object brightness parameter is determined according to environmental information.
Wherein, luminance parameter is represented when handling the brightness of image, it is necessary to the parameter used.The luminance parameter may include
But it is not limited to the one or more therein such as sensitivity, light exposure, exposure time.Object brightness parameter represents pending in adjusting
When effect is presented in the brightness of image, used luminance parameter.Electronic equipment can carry out luminance parameter meter according to the environmental information
Calculate, to calculate the object brightness parameter for being suitable for the pending image.Normally, it is i.e. pending comprising this in the environmental information
The image content presented in image, therefore, the object brightness parameter is determined only on the basis of the environmental data.
In one embodiment, the predeterminable computation model for object brightness parameter of electronic equipment, can believe the environment
The input as the computation model is ceased, and runs the computation model, to export corresponding object brightness parameter.
Step 308, brightness processed is carried out to pending image according to object brightness parameter.
Pending image is made of several pixels, and each pixel can be made of multiple Color Channels, each
Color Channel represents a color component.For example, image can be formed, also may be used by RGB (three kinds of colors of red, green, blue) triple channel
Being made of HSV (tone, saturation degree and lightness) triple channel, can also be by CMY (blue or green, fuchsin or magenta and yellow three kinds of face
Color) triple channel form, or YUV (also known as YCrCb, be by eurovision system used by a kind of colour coding method)
Data format forms.It can mutually be changed between every kind of form, for example each pixel can be converted into RGB by yuv format
Form.
Illustrated by taking yuv format as an example, corresponding Y data can be extracted from the yuv data of two field picture, the Y data table
Brightness (Luminance or Luma), that is, grey decision-making are shown, corresponding object brightness parameter is determined according to the Y data.Frame figure
Each pixel as in corresponds to a grey decision-making, and electronic equipment can be read out for the corresponding grey decision-making of each pixel, or
Part gray-scale value therein can be read out.
For each Color Channel on each pixel, electronic equipment can be according to corresponding object brightness parameter to correspondence
The Color Channel of colour developing passage be modified.So as to fulfill the brightness processed to pending image so that the image after processing
The brightness of presentation is more accurate, is more nearly the brightness that human eye is perceived.
Above-mentioned brightness of image processing method, when carrying out shooting image, while opens the first camera and second and takes the photograph
As head, and obtain and pending image is generated by the first camera, and obtain and obtained by the first camera and second camera
Pending image environmental information;Corresponding object brightness parameter is determined further according to environmental information.Due in shooting process,
Second camera is additionally used to be scanned, pending image is obtained using the first camera and second camera common scan
Environmental information so that for calculate object brightness parameter provide more reference informations, improve the luminance parameter calculated
Accuracy, and then further according to luminance parameter to pending image carry out brightness processed, also accordingly improve at brightness of image
The accuracy of reason.
In one embodiment, above-mentioned step 302 can perform before step 304, can also hold after step 306
OK, you can before pending image is obtained, you can first determine object brightness parameter, which can be by environmental information
Calculated.It can further improve the efficiency that brightness processed is carried out to pending image.Such as when electronic equipment is in dollying
During head is scanned, before generation shoots pending image, you can according to the first camera and second camera come
Real-time environmental information is obtained, and object brightness parameter is calculated according to the environmental information in real time.During scanning, may be used also
First camera and second camera are further moved, to obtain more environmental informations.It is raw when receiving shooting instruction
Brightness processed is carried out to pending image into pending image, and using the object brightness parameter that latest computed goes out, so as to improve
The efficiency of brightness processed.
In one embodiment, step 304 includes:Obtain at the time of pending image is generated, pass through second camera
The 3rd two field picture generated;Using the 3rd two field picture and pending image as environmental information.
3rd two field picture is the two field picture that is arrived by second camera at the time of pending image is generated.Usually
During pending image is generated, electronic equipment will be normally at stable state, and be kept for a period of time, thus at this
It is also relatively clearly image to carve obtained the 3rd two field picture, using the 3rd two field picture and pending image as environment letter
Breath, can further improve the clarity of environmental information.
In one embodiment, as shown in figure 5, step 304 includes:
Step 502, real-time first two field picture obtained by mobile first camera is obtained.
Step 504, real-time second two field picture obtained by mobile second camera is obtained.
Electronic equipment can generate two field picture in real time according to corresponding frame per second.Wherein, which can be the frame of fixed setting
Rate, can also be the frame per second determined according to information self-adaptings such as the brightness of current environment.For example it can be come with the frame per second of 30 frame per second
Generation two field picture in real time.Alternatively, the frame per second of the first camera and second camera can be not necessarily identical.In real-time delta frame figure
As during, the first camera and second camera are moved so that the two field picture generated at the time of different is not necessarily identical.
Than moving the first camera and second camera such as by the mobile electronic equipment.Electronic equipment can be by each first frame figure
Information in picture and the second two field picture is included in environmental information,
Step 506, the environment of pending image is obtained according to the first two field picture and the second two field picture that generate at different moments
Information.
Complete environmental information is obtained by the two field picture that this is generated at different moments.Or it can only extract and generate at different moments
Two field picture in, the image-region different from the image information in the two field picture generated before, ring is included by the image-region
In the information of border, so that by causing comprising spatial information where pending image in environmental information, and the spatial information does not repeat.
In one embodiment, the environmental information of pending image is obtained according to the two field picture generated at different moments, including:
The first two field picture generated at different moments and the second two field picture are contrasted, obtain the environmental information of pending image.
Electronic equipment will only can be contrasted between the first two field picture generated at different moments, and will be generated at different moments
Contrasted between second two field picture, to obtain the environmental information of pending image, the only contrast between the first two field picture, or
Contrast between second two field picture, can reduce the number of contrast, improve the efficiency of environment information acquisition.Or can be by the first frame figure
As also being contrasted with the second two field picture, obtain the environmental information of pending image, so as to get environmental information it is more accurate.
For the first two field picture or the second two field picture, the color that electronic equipment can extract the pixel in each two field picture is led to
Road, and the two field picture of the default quantity before frame carries out image frame comparison to present frame and in this prior, identifies present frame
Relative to the not repeat region of the two field picture picture of the default quantity before frame in this prior.And further analysis does not repeat each
Position relationship of the region in whole space, according to not repeat region and the position relationship, forms the environment of the pending image
Information.Wherein, the environmental information can be two field picture data mode embody, i.e., the environmental information can by it is above-mentioned detect it is each
In two field picture, not repeat region and the region corresponding locus in whole environment, and the panoramic picture synthesized.Pass through
Dollying head and obtain real-time two field picture, and according to the two field picture generated at different moments obtain pending image environment believe
Breath so that the information content of the environmental information of acquisition is more.
Alternatively, electronic equipment can be according to spatial scene modeling algorithm, and during picture moving, more adjacent is front and rear
The diff area of picture between two field picture, determines camera whole according to region of the diff area in corresponding two field picture
Space coordinate in a photographed scene, the space coordinate include rectilinear coordinates and angle coordinate.According to identified space coordinate,
The coordinate position between each region and the camera in the photographed scene is would know that, so that according to the coordinate position and each
Different pictures in two field picture, obtain environmental information.Wherein, the region captured by the pending image is in the photographed scene
In.In one embodiment, which can be positioning immediately and map structuring (simultaneous
Localization and mapping, SLAM) algorithm, during electronic equipment in camera by moving, generation in real time
Corresponding two field picture, according to the two field picture and default SLAM algorithms, can construct camera under current shooting picture, residing
Spatial information in space, according to the spatial information, records environmental information as much as possible, which is used for flat in vain
Weighing apparatus processing.
In one embodiment, pending image is obtained according to the first two field picture and the second two field picture that generate at different moments
Environmental information, including:Motion detection elements are called, detect the mobile data of the camera when generating each two field picture;According to
Mobile data obtains the environmental information of pending image from the first two field picture and the second two field picture.
Motion detection elements are the element suitable for detection device motion state, it may include but be not limited to gyroscope, accelerate
Spend the element such as sensor or gravity sensing device.Electronic equipment can call built-in motion detection elements, calculate camera and exist
Mobile data in moving process.Wherein, mobile data may include translational speed, displacement distance and move angle etc. therein one
Kind or a variety of combinations.Under normal circumstances, the first camera is identical with the mobile data of second camera.According to the frame of shooting
Rate, calculate shoot each two field picture at the time of under, relative to shooting reference frame at the time of, the relative movement number of the camera
According to.Wherein, the relative movement data be at current time, at the time of relative to shooting reference frame, the mobile data of camera.Ginseng
It can be two field picture when being used to record environmental information first to examine frame, or is used in the two field picture of participation record environmental information
Any one two field picture.According to the relative movement data, can calculate the two field picture of current shooting image information and reference frame it
Between image information, position relationship in space.It is to be appreciated that there may be the part repeated between the image information.
According to the position relationship, the whole environmental informations arrived by camera can be obtained from the two field picture generated at different moments.
The detection of mobile data is carried out by using the intrinsic motion detection elements of electronic equipment, the movement of detection can be improved
The accuracy of data, and then also improve the accuracy of the detection of environmental information.
In one embodiment, step 306 includes:The environment of pending image local environment is calculated according to environmental information
Illumination;Corresponding object brightness parameter is determined according to ambient light illumination.
Illumination refers to the luminous flux for receiving visible ray on unit area, for indicating the power and body surface area quilt of illumination
The amount of lighting level, its unit can use lux (Lux or Lx) to represent.The ambient light illumination of pending image local environment represents should
Body surface area in pending image is the amount of the degree illuminated.
Electronic equipment can be obtained in the environmental information, the Y data on each pixel, to read the brightness of each pixel
Information, ambient light illumination is calculated according to the monochrome information.Alternatively, the Y data on each pixel can be overlapped, and asked
It is average, using the average value calculated as the ambient light illumination.Object brightness parameter can be determined according to the ambient light illumination.Electronics is set
The standby correspondence that can be established between the ambient light illumination and object brightness parameter, the correspondence can by such as environmental parameter with
The table of comparisons between object brightness parameter embodies.Electronic equipment can inquire about calculated ambient light illumination institute from the table of comparisons
Corresponding luminance parameter, object brightness parameter is determined according to the luminance parameter.For example the luminance parameter that can inquire this is direct
As object brightness parameter, or the object brightness parameter can be multiplied by corresponding coefficient, obtained product is bright as target
Spend parameter.The coefficient can be fixed coefficient, can also be for according to pending image area institute occupied in the environmental information
Definite coefficient.
In the present embodiment, by computing environment illumination, object brightness parameter is calculated according to the ambient light illumination, can be improved
The efficiency that object brightness parameter calculates.
In one embodiment, as shown in fig. 6, the environment that pending image local environment is calculated according to environmental information shines
Degree, including:
Step 602, panoramic picture is generated according to environmental information.
Electronic equipment can be according to the position relationship between the pixel and pixel included in the environmental information, synthesis pair
The image answered, since the environmental information is obtained from being scanned as dollying head, so the image, that is, similar of synthesis
Panoramic picture.
Step 604, the brightness of each pixel in panoramic picture is identified.
By taking the Color Channel of pixel is YUV triple channels as an example, electronic device-readable takes the Y data on each pixel,
The Y data is determined to the brightness of corresponding pixel points.Wherein, brightness that can be directly using the Y data as corresponding pixel points.When for
When RGB triple channels or other passages, the monochrome information of corresponding each pixel can be obtained, corresponding picture is determined according to the monochrome information
The brightness of vegetarian refreshments, or YUV triple channels can be converted into, according to Y therein according to the transformational relation between the YUV triple channels
Data determine the brightness of corresponding pixel points.
Step 606, the ambient light illumination of pending image local environment is calculated according to luminance meter.
Alternatively, electronic equipment can average the brightness of each pixel, using obtained average value as pair
Answer the ambient light illumination of environment.Or can be further combined with each pixel the location of in environmental information, according to residing
Location determination coefficient corresponding with the pixel, corresponding ambient light illumination is calculated according to the coefficient with brightness.For example it can incite somebody to action
The brightness is multiplied with coefficient of correspondence, and the product obtained to each pixel is summed, and is shone the sum of products as environment
Degree.
In the present embodiment, by composite group through image, environment is calculated according to the brightness of each pixel in panoramic picture
Brightness, further increases the accuracy of ambient brightness calculating.
In one embodiment, as shown in fig. 7, determining corresponding object brightness parameter according to ambient light illumination, including:
Step 702, reference brightness parameter corresponding with ambient light illumination is obtained.
Alternatively, electronic equipment can pre-set the correspondence between varying environment poisoning and reference brightness parameter, should
The correspondence table of comparisons between reference brightness parameter that can be poisoned for environment embodies.Electronic equipment can from the table of comparisons,
The reference brightness parameter that inquiry matches with the ambient light illumination.Store in the table of comparisons under varying environment illumination, suitably use
Luminance parameter, which is reference brightness parameter.Wherein, which can be sensitivity or exposure time etc.
One or more therein.
Step 704, the current brightness parameter of pending image is obtained.
Wherein, which represents presently used luminance parameter, which can be on electronic equipment
Give tacit consent to the luminance parameter used, or to shoot the set luminance parameter of custom according to user.Initially showing pending figure
When picture, electronic equipment can show pending image according to the current brightness parameter.
Step 706, object brightness parameter is calculated according to current brightness parameter and reference brightness parameter.
Electricity equipment can be further provided between object brightness parameter and current brightness parameter and reference brightness parameter
Calculated relationship, can calculate corresponding object brightness parameter according to the calculated relationship.Alternatively, object brightness parameter be in
Between current brightness parameter and reference brightness parameter so that definite object brightness parameter can take into account current goal luminance parameter and
Reference brightness parameter.
For example for the object brightness parameter corresponding weights can be set with reference brightness parameter respectively, by that will refer to
Luminance parameter and current brightness parameter are multiplied with corresponding weights, and sum, using the weighted product drawn and as
Corresponding object brightness parameter.
Mesh is calculated by traveling further into current brightness parameter, and according to the current brightness parameter and reference brightness parameter
Mark luminance parameter so that the object brightness parameter calculated more adapts to the use habit of user.
In one embodiment, as shown in Figure 8, there is provided another brightness of image processing method, this method include:
Step 802, the pending image generated by the first camera is obtained.
Alternatively, which can be the image that generates in real time under screening-mode, or can be according to default frame
Two field picture on a display screen is presented in rate in real time.
Step 804, real-time first two field picture obtained by mobile first camera is obtained;Obtain by mobile second
Real-time second two field picture that camera obtains.
Electronic equipment shows the prompt message of dollying head on a display screen under screening-mode, to prompt user couple
Camera is moved.It is to be appreciated that the display mode of the prompt message and the data format of prompt message can include it is more
Kind.For example can show the similar text prompt information such as " camera please be move left and right ", or can show for representing that left and right is moved
Cardon shape or symbol etc. mark, for example can show arrow that expression moves left and right etc..Electronic equipment can obtain under screening-mode
Before getting pending image, you can cache the two field picture obtained in real time.
Alternatively, camera can carry out the movement of the optional position such as left and right, upper and lower, front and rear, for example can be positioned with some state
Put carry out left-right rotation.Camera moving range is bigger, then the environmental information that correspondence can collect is more rich so that follow-up white flat
Weigh the accuracy higher handled.For example, user can be before pending image be shot, and the hand-holdable electronic equipment is right
The scene to be shot carries out environmental scanning, for example the hand-holdable electronic equipment carries out 180 ° of rotations, when first camera and the
When two cameras are respectively front camera and rear camera, the environmental information in whole space can obtain.Moved in electronic equipment
In dynamic process, the first two field picture and the second two field picture can be generated in real time according to default frame per second.
Step 806, the first two field picture generated at different moments and the second two field picture are contrasted, obtains pending image
Environmental information.
Alternatively, the two field picture of extraction environment information is participated in, can be default before the generated time of pending image
The first two field picture and the second two field picture obtained within duration, or be during pending image is shot, at no end
Only under screening-mode, and the first two field picture and the second two field picture generated.
Each adjacent two field pictures can be carried out image frame comparison by electronic equipment, identify present frame relative to deserving
The not repeat region of the two field picture picture of default quantity before previous frame.Each not position of the repeat region in whole space of analysis
Relation is put, according to not repeat region and the position relationship, forms the environmental information of the pending image.The current frame image includes
Current first two field picture and current second two field picture.
In one embodiment, electronic equipment can be according to default SLAM algorithms, during follow shot, according to shooting
The first two field picture and the second two field picture, construct the whole spatial information residing for the photographed scene of pending image.According to this
Spatial information, records environmental information as much as possible, by the environmental information for white balance processing.
Step 808, panoramic picture is generated according to environmental information;Identify the brightness of each pixel in panoramic picture;According to
Luminance meter calculates the ambient light illumination of pending image local environment.
Wherein, this repeat region is not also to be made of corresponding pixel, the not position relationship between repeat region
Also determine the position relationship between each pixel, according to the pixel and position relationship, the panoramic picture can be synthesized.It can manage
Xie Di, since the mode of dollying head is not necessarily regular, the panoramic picture of the synthesis is not necessarily a complete rectangle,
There may be the missing of the pixel on a certain region.
Electronic device-readable is taken in panoramic picture, the Y data of the YUV passages on each pixel, calculates the flat of the Y data
Average, the ambient light illumination using the average value as pending image local environment.It is compared to the pixel of pending image, ring
There are more reference informations so that more accurate according to the ambient light illumination that the environmental information is calculated in the information of border.
Step 810, reference brightness parameter corresponding with ambient light illumination is obtained;Obtain the present intensity ginseng of pending image
Number;Object brightness parameter is calculated according to current brightness parameter and reference brightness parameter.
Alternatively, the comparison table in electronic equipment between default ambient light illumination and reference brightness parameter, is calculating
Go out under corresponding ambient light illumination, reference brightness parameter corresponding with the ambient light illumination can be inquired about from the comparison table.At the same time
The current brightness parameter of pending image is also obtained, when the current brightness parameter is generates pending image, used brightness
Parameter.Current brightness parameter can be the luminance parameter that system default uses, or to be analyzed according to the shooting of user custom,
The acquisition parameters calculated.Electronic equipment can be directed to the current brightness parameter and reference brightness parameter sets corresponding power respectively
Value, reference brightness parameter and current brightness parameter are multiplied with corresponding weights, and are summed, and the weighting drawn is multiplied
Accumulate and be used as corresponding object brightness parameter.
Step 812, brightness processed is carried out to pending image according to object brightness parameter.
Using luminance parameter as exposure, it is respectively 0.6 to preset current brightness parameter and the corresponding value of reference brightness parameter
With 0.4, the current brightness parameter of pending image is:Current exposure degree illustrates exemplified by being 200.By the institute in panoramic picture
There are the Y passages on pixel to carry out mean value calculation, obtained ambient light illumination 2000Lux, inquires from the comparison table
The corresponding sensitivity of ambient light illumination of 2000Lux is 230.Then object brightness parameter is:Target sensitivity=200 × 0.6+230
× 0.4=212.I.e. electronic equipment can carry out brightness processed according to sensitivity for 212 pairs of pending images.
By further considering current goal luminance parameter so that excessive is unlikely to the brightness adjustment of pending image,
And it is balanced between the brightness adjustment amplitude and true brightness of pending image.
In one embodiment, as shown in Figure 9, there is provided a kind of brightness of image processing unit, the device include:
Image collection module 902, for obtaining the pending image generated by the first camera.
Environmental information generation module 904, it is pending as obtained from the first camera and second camera for obtaining
The environmental information of image.
Brightness processed module 906, for determining corresponding object brightness parameter according to environmental information;Joined according to object brightness
It is several that brightness processed is carried out to pending image.
In one embodiment, environmental information generation module 904 is additionally operable to obtain at the time of pending image is generated, and leads to
Cross the 3rd two field picture that second camera is generated;Using the 3rd two field picture and pending image as environmental information.
In one embodiment, environmental information generation module 904 is additionally operable to obtain what is obtained by mobile first camera
Real-time first two field picture;Obtain real-time second two field picture obtained by mobile second camera;According to giving birth at different moments
Into the first two field picture and the second two field picture obtain the environmental information of pending image.
In one embodiment, environmental information generation module 904 be additionally operable to the first two field picture that will generate at different moments into
Row contrast, and the second two field picture generated at different moments is contrasted, obtain the environmental information of pending image.
In one embodiment, environmental information generation module 904 is additionally operable to call motion detection elements, detects every in generation
The mobile data of camera during a two field picture;Pending figure is obtained from the first two field picture and the second two field picture according to mobile data
The environmental information of picture.
In one embodiment, brightness processed module 906 is additionally operable to according to residing for environmental information calculates pending image
The ambient light illumination of environment;Corresponding object brightness parameter is determined according to ambient light illumination.
In one embodiment, brightness processed module 906 is additionally operable to generate panoramic picture according to environmental information;Identify panorama
The brightness of each pixel in image;The ambient light illumination of pending image local environment is calculated according to luminance meter.
In one embodiment, brightness processed module 906 is additionally operable to obtain reference brightness parameter corresponding with ambient light illumination;
Obtain the current brightness parameter of pending image;Object brightness ginseng is calculated according to current brightness parameter and reference brightness parameter
Number.
The division of modules is only used for for example, in other embodiments in above-mentioned brightness of image processing unit, can
Brightness of image processing unit is divided into different modules as required, with complete the whole of above-mentioned brightness of image processing unit or
Partial function.
In one embodiment, there is provided a kind of computer-readable recording medium, is stored thereon with computer program, calculates
Machine program realizes the step of brightness of image processing method that the various embodiments described above are provided when being executed by processor.
In one embodiment, there is provided a kind of electronic equipment, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, processor realize the figure that the various embodiments described above are provided when performing computer program
The step of image brightness processing method.
The embodiment of the present application additionally provides a kind of computer program product.A kind of computer program product for including instruction,
When run on a computer so that computer performs the step for the brightness of image processing method that the various embodiments described above are provided
Suddenly.
The embodiment of the present application also provides a kind of electronic equipment.Above-mentioned electronic equipment includes shooting circuit, and shooting circuit can
To be realized using hardware and or software component, it may include define ISP (Image Signal Processing, at picture signal
Reason) pipeline various processing units.Figure 10 is the schematic diagram that circuit is shot in one embodiment.As shown in Figure 10, for ease of saying
It is bright, the various aspects with the relevant technique for taking of the embodiment of the present application are only shown.
As shown in Figure 10, shooting circuit includes ISP processors 1040 and control logic device 1050.Imaging device 1010 is caught
View data handled first by ISP processors 1040, ISP processors 1040 view data is analyzed with catch can be used for
The image statistics of definite and/or imaging device 1010 one or more control parameters.Imaging device 1010 may include have
There is the camera of one or more lens 1012 and imaging sensor 1014.Imaging sensor 1014 may include colour filter array
(such as Bayer filters), imaging sensor 1014 can obtain the luminous intensity caught with each imaging pixel of imaging sensor 1014
And wavelength information, and the one group of raw image data that can be handled by ISP processors 1040 is provided.Sensor 1020 (such as gyroscope)
The parameter (such as stabilization parameter) of the shooting of collection can be supplied to based on 1020 interface type of sensor by ISP processors 1040.Pass
1020 interface of sensor can utilize SMIA (Standard Mobile Imaging Architecture, Standard Mobile Imager frame
Structure) interface, other serial or parallel camera interfaces or above-mentioned interface combination.
In addition, raw image data can be also sent to sensor 1020 by imaging sensor 1014, sensor 1020 can base
Raw image data is supplied to ISP processors 1040 in 1020 interface type of sensor, or sensor 1020 is by original graph
As data storage is into video memory 1030.
ISP processors 1040 handle raw image data pixel by pixel in various formats.For example, each image pixel can
Bit depth with 10,10,12 or 14 bits, ISP processors 1040 can carry out raw image data one or more shootings
The statistical information of operation, collection on view data.Wherein, shooting operation can be carried out by identical or different bit depth precision.
ISP processors 1040 can also receive view data from video memory 1030.For example, 1020 interface of sensor is by original
Beginning view data is sent to video memory 1030, and the raw image data in video memory 1030 is available to ISP processing
Device 1040 is for processing.Video memory 1030 can be only in a part, storage device or electronic equipment for storage arrangement
Vertical private memory, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
1014 interface of imaging sensor is come from when receiving or from 1020 interface of sensor or from video memory
During 1030 raw image data, ISP processors 1040 can carry out one or more shooting operations, such as time-domain filtering.After processing
View data can be transmitted to video memory 1030, to carry out other processing before shown.ISP processors 1040
Can also from video memory 1030 receive processing data, to processing data carry out original domain in and RGB and YCbCr color spaces
In image real time transfer.View data after processing may be output to display 1080, watches for user and/or is drawn by figure
Hold up or GPU (Graphics Processing Unit, graphics processor) is further handled.In addition, ISP processors 1040 is defeated
Go out and also can be transmitted to video memory 1030, and display 1080 can read view data from video memory 1030.At one
In embodiment, video memory 1030 can be configured as realizing one or more frame buffers.In addition, ISP processors 1040
Output can be transmitted to encoder/decoder 1070, so as to encoding/decoding image data.The view data of coding can be saved, and
Decompressed before being shown in 1080 equipment of display.
The step of processing view data of ISP processors 1040, includes:VFE (Video Front are carried out to view data
End, video front) handle and CPP (Camera Post Processing, camera post processing) processing.To view data
VFE processing may include correct view data contrast or brightness, modification record in a digital manner illumination conditions data, to figure
As data compensate processing (such as white balance, automatic growth control, γ correction etc.), to view data be filtered processing etc..
CPP processing to view data may include to zoom in and out image, preview frame and record frame provided to each path.Wherein, CPP
Different codecs can be used to handle preview frame and record frame.View data after the processing of ISP processors 1040 can be transmitted
To U.S. face module 1060, so as to which U.S. face processing is carried out to image before shown.U.S. face module 1060 is to view data U.S. face
Processing may include:Whitening, nti-freckle, mill skin, thin face, anti-acne, increase eyes etc..Wherein, U.S. face module 1060 can be mobile terminal
Middle CPU (Central Processing Unit, central processing unit), GPU or coprocessor etc..After U.S. face module 1060 is handled
Data can be transmitted to encoder/decoder 1070, so as to encoding/decoding image data.The view data of coding can be saved,
And decompressed before being shown in 1080 equipment of display.Wherein, U.S. face module 1060 may be additionally located at encoder/decoder
Between 1070 and display 1080, i.e., U.S. face module carries out the image being imaged U.S. face processing.Above-mentioned encoder/decoder
1070 can be CPU, GPU or coprocessor etc. in mobile terminal.
The definite statistics of ISP processors 1040, which can be transmitted, gives control logic device Unit 1050.For example, statistics can
Passed including the image such as automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 1012 shadow correction of lens
1014 statistical information of sensor.Control logic device 1050 may include the processor for performing one or more routines (such as firmware) and/or
Microcontroller, one or more routines according to the statistics of reception, can determine the control parameter and ISP of imaging device 1010
The control parameter of processor 1040.For example, the control parameter of imaging device 1010 may include 1020 control parameter of sensor (such as
Gain, the time of integration of spectrum assignment), camera flash control parameter, 1012 control parameter of lens (such as focus on or zoom use
Focal length) or these parameters combination.ISP control parameters may include to be used for automatic white balance and color adjustment (for example, at RGB
During reason) gain level and color correction matrix, and 1012 shadow correction parameter of lens.
Brightness of image processing method as above can be realized with technique for taking in Figure 10.
Any reference to memory, storage, database or other media used in this application may include non-volatile
And/or volatile memory.Suitable nonvolatile memory may include read-only storage (ROM), programming ROM (PROM),
Electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include arbitrary access
Memory (RAM), it is used as external cache.By way of illustration and not limitation, RAM is available in many forms, such as
It is static RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDR SDRAM), enhanced
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).
Embodiment described above only expresses the several embodiments of the application, its description is more specific and detailed, but simultaneously
Therefore the limitation to the application the scope of the claims cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, on the premise of the application design is not departed from, various modifications and improvements can be made, these belong to the guarantor of the application
Protect scope.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (11)
1. a kind of brightness of image processing method, including:
Obtain the pending image generated by the first camera;
Obtain the environmental information of the pending image as obtained from first camera and second camera;
Corresponding object brightness parameter is determined according to the environmental information;
Brightness processed is carried out to the pending image according to the object brightness parameter.
2. according to the method described in claim 1, it is characterized in that, described obtain by first camera and the second shooting
The environmental information of the pending image obtained from head, including:
Obtain at the time of the pending image is generated, the 3rd two field picture generated by second camera;
Using the 3rd two field picture and the pending image as the environmental information.
3. according to the method described in claim 1, it is characterized in that, described obtain by first camera and the second shooting
The environmental information of the pending image obtained from head, including:
Obtain real-time first two field picture obtained by mobile first camera;
Obtain real-time second two field picture obtained by mobile second camera;
The first two field picture and the second two field picture according to generating at different moments obtain the environmental information of the pending image.
4. according to the method described in claim 3, it is characterized in that, the first two field picture and that the basis generates at different moments
Two two field pictures obtain the environmental information of the pending image, including:
The first two field picture generated at different moments is contrasted, and the second two field picture generated at different moments is contrasted,
Obtain the environmental information of the pending image.
5. according to the method described in claim 3, it is characterized in that, the first two field picture and that the basis generates at different moments
Two two field pictures obtain the environmental information of the pending image, including:
Motion detection elements are called, detect the mobile data of the camera when generating each two field picture;
The environment letter of the pending image is obtained from first two field picture and the second two field picture according to the mobile data
Breath.
6. method according to any one of claim 1 to 5, it is characterised in that described to be determined according to the environmental information
Corresponding object brightness parameter, including:
The ambient light illumination of the pending image local environment is calculated according to the environmental information;
Corresponding object brightness parameter is determined according to the ambient light illumination.
7. according to the method described in claim 6, it is characterized in that, it is described calculated according to the environmental information it is described pending
The ambient light illumination of image local environment, including:
Panoramic picture is generated according to the environmental information;
Identify the brightness of each pixel in the panoramic picture;
The ambient light illumination of the pending image local environment is calculated according to the luminance meter.
8. according to the method described in claim 6, it is characterized in that, described determine that corresponding target is bright according to the ambient light illumination
Parameter is spent, including:
Obtain reference brightness parameter corresponding with the ambient light illumination;
Obtain the current brightness parameter of the pending image;
Object brightness parameter is calculated according to the current brightness parameter and the reference brightness parameter.
9. a kind of brightness of image processing unit, it is characterised in that described device includes:
Image collection module, for obtaining the pending image generated by the first camera;
Environmental information generation module, for obtaining the ring of the pending image as obtained from the first camera and second camera
Border information;
Brightness processed module, for determining corresponding object brightness parameter according to environmental information;Treated according to object brightness parameter
Handle image and carry out brightness processed.
10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program
The step of method any one of claim 1 to 8 is realized when being executed by processor.
11. a kind of electronic equipment, including memory, processor and storage are on a memory and the calculating that can run on a processor
Machine program, it is characterised in that the processor is realized any one of claim 1 to 8 when performing the computer program
The step of method.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109146966A (en) * | 2018-06-26 | 2019-01-04 | 广州视源电子科技股份有限公司 | Visual SLAM front-end processing method, system, storage medium and computer device |
CN111191069A (en) * | 2019-12-31 | 2020-05-22 | 联想(北京)有限公司 | Image processing method and device |
CN112468725A (en) * | 2020-11-26 | 2021-03-09 | 惠州Tcl移动通信有限公司 | Photo shooting method and device, storage medium and mobile terminal |
CN115705614A (en) * | 2021-08-05 | 2023-02-17 | 北京小米移动软件有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
WO2023207137A1 (en) * | 2022-04-28 | 2023-11-02 | 华为技术有限公司 | Image processing method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102905079A (en) * | 2012-10-16 | 2013-01-30 | 北京小米科技有限责任公司 | Method, device and mobile terminal for panorama shooting |
CN103986874A (en) * | 2014-05-29 | 2014-08-13 | 宇龙计算机通信科技(深圳)有限公司 | Image acquiring device, method and terminal |
CN104917960A (en) * | 2015-05-19 | 2015-09-16 | 广东欧珀移动通信有限公司 | Method for controlling camera to rotate and terminal |
CN105227945A (en) * | 2015-10-21 | 2016-01-06 | 维沃移动通信有限公司 | A kind of control method of Automatic white balance and mobile terminal |
-
2017
- 2017-11-28 CN CN201711212786.3A patent/CN107948511B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102905079A (en) * | 2012-10-16 | 2013-01-30 | 北京小米科技有限责任公司 | Method, device and mobile terminal for panorama shooting |
CN103986874A (en) * | 2014-05-29 | 2014-08-13 | 宇龙计算机通信科技(深圳)有限公司 | Image acquiring device, method and terminal |
CN104917960A (en) * | 2015-05-19 | 2015-09-16 | 广东欧珀移动通信有限公司 | Method for controlling camera to rotate and terminal |
CN105227945A (en) * | 2015-10-21 | 2016-01-06 | 维沃移动通信有限公司 | A kind of control method of Automatic white balance and mobile terminal |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109146966A (en) * | 2018-06-26 | 2019-01-04 | 广州视源电子科技股份有限公司 | Visual SLAM front-end processing method, system, storage medium and computer device |
CN109146966B (en) * | 2018-06-26 | 2021-02-23 | 广州视源电子科技股份有限公司 | Visual SLAM front-end processing method, system, storage medium and computer equipment |
CN111191069A (en) * | 2019-12-31 | 2020-05-22 | 联想(北京)有限公司 | Image processing method and device |
CN112468725A (en) * | 2020-11-26 | 2021-03-09 | 惠州Tcl移动通信有限公司 | Photo shooting method and device, storage medium and mobile terminal |
CN115705614A (en) * | 2021-08-05 | 2023-02-17 | 北京小米移动软件有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
WO2023207137A1 (en) * | 2022-04-28 | 2023-11-02 | 华为技术有限公司 | Image processing method and device |
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