CN108650442A - Image processing method and device, storage medium, electronic equipment - Google Patents
Image processing method and device, storage medium, electronic equipment Download PDFInfo
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- CN108650442A CN108650442A CN201810465516.1A CN201810465516A CN108650442A CN 108650442 A CN108650442 A CN 108650442A CN 201810465516 A CN201810465516 A CN 201810465516A CN 108650442 A CN108650442 A CN 108650442A
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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
- H04N23/50—Constructional details
- H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
- H04M1/026—Details of the structure or mounting of specific components
- H04M1/0264—Details of the structure or mounting of specific components for a camera module assembly
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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
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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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
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
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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 image processing methods and device, electronic equipment, computer readable storage medium, distant view image and close shot image are acquired to Same Scene respectively by two cameras, then to determining the first image parameter adjustment factor to the first image parameter of close shot image according to the first image parameter of distant view image, and the first image parameter of close shot image is adjusted according to the first image parameter adjustment factor.After to the adjustment of the first image parameter of close shot image so that the first image parameter of distant view image and close shot image is more close, then close shot image will be synthesized with distant view image after overregulating, the image that obtains that treated.Carry out in this way image synthesize obtained image can more natural reality.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of image processing method and device, storage medium, electricity
Sub- equipment.
Background technology
In recent years, with the continuous development of mobile terminal the relevant technologies, many mobile terminals are all configured with dual camera, with
Improve the quality of taking pictures of user.
Dual camera in mobile terminal generally comprises a wide-angle camera and a focal length camera, wherein wide-angle
Camera is a kind of photographing device of wide viewing angle, can accommodate more scenery apart from interior limited;Focal length camera is one
The photographing device of kind long-focus, is typically used for shooting the scenery of same distance of mobile terminal farther out.It is existing to be provided in movement eventually
Dual camera in end will shoot obtained two pictures and synthesize a bat commonly used in being shot simultaneously to scenery
Take the photograph the preferable picture of effect.But the effect of image synthesis is unable to meet the increasing quality of taking pictures of people always and want
It asks.
Invention content
A kind of image processing method of the embodiment of the present application offer and device, storage medium, electronic equipment, can improve image
The accuracy of processing.
A kind of image processing method, which is characterized in that including:
Close shot image is acquired by the first camera, and acquires the distant view image of Same Scene by second camera;
The first figure is determined to the first image parameter of the close shot image according to the first image parameter of the distant view image
As parameter regulation coefficient, and the first image parameter of close shot image is adjusted according to described first image parameter regulation coefficient
Section;
Close shot image after overregulating is synthesized with the distant view image, the image that obtains that treated.
A kind of image processing apparatus, which is characterized in that described device includes:
Image capture module for acquiring close shot image by the first camera, and is acquired by second camera same
The distant view image of scene;
Image adjustment module, for the first figure according to the first image parameter of the distant view image to the close shot image
As parameter determines the first image parameter adjustment factor, and according to described first image parameter regulation coefficient to the first of close shot image
Image parameter is adjusted;
Image synthesis unit is obtained for synthesizing the close shot image after overregulating with the distant view image
Treated image.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The step of image processing method as described above is realized when 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, processor executes image processing method as described above when executing computer program.
Above-mentioned image processing method and device, storage medium, electronic equipment acquire close shot image by the first camera,
And the distant view image of Same Scene is acquired by second camera.According to the first image parameter of distant view image to close shot image
First image parameter determines the first image parameter adjustment factor, and according to the first image parameter adjustment factor to the of close shot image
One image parameter is adjusted.It close shot image will be synthesized with distant view image after overregulating, the image that obtains that treated.
Distant view image and close shot image are acquired to Same Scene respectively by two cameras, then to the first figure according to distant view image
As parameter determines the first image parameter adjustment factor to the first image parameter of close shot image, and adjusted according to the first image parameter
The first image parameter of close shot image is adjusted in coefficient.After the first image parameter adjustment to close shot image, make
The first image parameter for obtaining distant view image and close shot image is more close, subsequently carries out image in this way and synthesizes obtained image meeting
More natural reality.
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, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is the internal structure chart of electronic equipment in one embodiment;
Fig. 2 is the flow chart of image processing method in one embodiment;
Fig. 3 is the flow chart for the method that the brightness of image is adjusted in one embodiment;
Fig. 4 is the flow chart of image combining method in Fig. 2;
Fig. 5 is the flow chart for carrying out image synthetic method in Fig. 4 according to the result of Feature Points Matching;
Fig. 6 is the structural schematic diagram of image processing apparatus in one embodiment;
Fig. 7 is the structural schematic diagram of image adjustment module in Fig. 6;
Fig. 8 is the structural schematic diagram of image synthesis unit in Fig. 6;
Fig. 9 is the block diagram of the part-structure of the relevant mobile phone of electronic equipment provided in one embodiment.
Specific implementation mode
It is with reference to the accompanying drawings and embodiments, right in order to make the object, technical solution and advantage of the application be more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, and
It is not used in restriction the application.
Fig. 1 is the internal structure schematic diagram of electronic equipment in one embodiment.As shown in Figure 1, the electronic equipment includes logical
Cross processor, memory and the network interface of system bus connection.Wherein, which is used to provide calculating and control ability,
Support the operation of entire electronic equipment.Memory for storing data, program etc., at least one computer journey is stored on memory
Sequence, the computer program can be executed by processor, to realize the image suitable for electronic equipment provided in the embodiment of the present application
Processing method.Memory may include that magnetic disc, CD, read-only memory (Read-Only Memory, ROM) etc. are non-volatile
Storage medium or random access memory (Random-Access-Memory, RAM) etc..For example, in one embodiment, depositing
Reservoir includes non-volatile memory medium and built-in storage.Non-volatile memory medium is stored with operating system and computer journey
Sequence.The computer program can be performed by processor, for a kind of realization image procossing that each embodiment is provided below
Method.Built-in storage provides the running environment of cache for the operating system computer program in non-volatile memory medium.
Network interface can be Ethernet card or wireless network card etc., for being communicated with external electronic equipment.The electronic equipment can
To be mobile phone, tablet computer or personal digital assistant or Wearable etc..
In one embodiment, as shown in Fig. 2, providing a kind of image processing method, it is applied in Fig. 1 in this way
It is illustrated for electronic equipment, including:
Step 220, close shot image is acquired by the first camera, and acquires the distant view of Same Scene by second camera
Image.
Electronic equipment involved in the embodiment of the present application is configured with the electronic equipment of dual camera, and mainstream is double at present
Camera scheme includes mainly following three kinds:The first, which is that black and white+colour is double, takes the photograph scheme.In two cameras, black and white camera lens is negative
Duty captures details profile, and colored camera lens is then full-time to fill color.Black and white is double to take the photograph combination compared to single camera at parsing power, night
Details taken pictures etc. is even better.It is for second the major-minor dual camera technology of different pixels, wherein high pixel main lens
It is responsible for imaging, secondary mirror head is then full-time to measure the data such as depth of field, it can be achieved that the functions such as focus afterwards of first taking pictures.The third is wide-angle+length
Zoom lens scheme uses wide-angle lens when clapping close shot, telephoto lens is used when clapping distant view, to realize optical zoom function.
Close shot image is acquired by the first camera, and acquires the distant view image of Same Scene by second camera.Closely
Scape image is the image that the clear distant view of close shot obscures, and distant view image is then the image that the clear close shot of distant view obscures.
Step 240, the first figure is determined to the first image parameter of close shot image according to the first image parameter of distant view image
As parameter regulation coefficient, and the first image parameter of close shot image is adjusted according to the first image parameter adjustment factor.
After obtaining close shot image and distant view image respectively, the first image parameter of distant view image is further obtained,
Wherein image parameter may include resolution ratio, brightness, tone etc..The first image parameter for obtaining close shot image, according to prospect map
First image parameter of picture determines the first image parameter adjustment factor to the first image parameter of close shot image, according to the first image
The first image parameter of close shot image is adjusted in parameter regulation coefficient, generates the close shot image after adjusting.After adjusting
The first image parameter of close shot image and the first image parameter of distant view image be closer to so that two figures are in subsequent image
Will not seeming during synthesis, difference is too big, it appears lofty.
Step 260, the close shot image after overregulating is synthesized with distant view image, the image that obtains that treated.
Image synthesis is also referred to as image co-registration, is by a mathematical model that the multiple image from different sensors is comprehensive
The process that a width meets the image of application-specific demand is synthesized, so as to which effectively the advantages of different images, is combined,
Improve the ability to image information analysis and extraction.The main purpose of image co-registration is the place by redundant data between multiple image
It manages to improve the reliability of image, the clarity of image is improved by the processing of the complementary information between multiple image.According to melting
The residing stage difference of processing is closed, image co-registration can be typically divided between Pixel-level, feature level and decision level.The level of fusion is not
Together, used algorithm, applicable range also differ.Close shot image after overregulating is closed with distant view image
At the image that obtains that treated.
In the embodiment of the present application, distant view image and close shot image are acquired to Same Scene respectively by two cameras, so
Afterwards to determining that the first image parameter adjusts system to the first image parameter of close shot image according to the first image parameter of distant view image
Number, and the first image parameter of close shot image is adjusted according to the first image parameter adjustment factor.By to close shot image
The first image parameter adjustment after so that the first image parameter of distant view image and close shot image is more close, follow-up in this way
Carry out image synthesize obtained image can more natural reality.
In one embodiment, the first image parameter includes brightness,
The first image parameter tune is determined to the first image parameter of close shot image according to the first image parameter of distant view image
Save coefficient, the first image parameter adjustment factor be adjusted for the first image parameter to close shot image, including:
Brightness regulation coefficient is determined to the brightness of close shot image according to the brightness of distant view image, and according to brightness regulation coefficient
The brightness of close shot image is adjusted.
Specifically, if the luminance difference of the close shot image and distant view image that are acquired is larger, and other image parameters are poor
It is not smaller, then it selects brightness as reference from image parameter, the brightness of close shot image and distant view image is handled.It is selecting
It selects after the first image parameter includes brightness, then after obtaining close shot image and distant view image respectively, further obtains
The brightness of distant view image, the brightness for obtaining close shot image.Brightness is determined to the brightness of close shot image according to the brightness of distant view image
Adjustment factor, brightness regulation coefficient are generally obtained by the ratio calculation according to the brightness of distant view image to the brightness of close shot image,
After the brightness of close shot image is adjusted according to the brightness regulation coefficient in this way so that the brightness of close shot image and prospect map
The brightness of picture relatively, this avoid the difference in brightness of the brightness of close shot image and distant view image is too big, then can drop significantly
The image effect quality of the low image subsequently synthesized.
In the embodiment of the present application, image parameter may include resolution ratio, brightness, tone etc., be selected from image parameter bright
Degree as reference, is handled the brightness of close shot image and distant view image.Certainly it can also select in other examples
Other image parameters as reference, if such as the tone of close shot image and distant view image that is acquired differ greatly, and other
Image parameter difference it is smaller, then from image parameter select tone as reference, to the tone of close shot image and distant view image
It is handled.In the above-described embodiments, when handling the brightness of image, brightness regulation coefficient is first calculated, the brightness tune
Coefficient is saved for the ratio calculation gained according to the brightness of distant view image to the brightness of close shot image, according to the brightness regulation coefficient pair
After the brightness of close shot image is adjusted so that the brightness of close shot image and the brightness of distant view image relatively, are kept away in this way
The difference in brightness of the brightness and distant view image of having exempted from close shot image is too big, then can substantially reduce the image effect of the image subsequently synthesized
Fruit quality.
In one embodiment, as shown in figure 3, determining brightness tune to the brightness of close shot image according to the brightness of distant view image
Coefficient is saved, and the brightness of close shot image is adjusted according to brightness regulation coefficient, including:
Step 320, the brightness of close shot image and the brightness of distant view image are obtained.
Specifically, the average brightness of the average brightness and distant view image of close shot image can be got.
Step 340, judge whether the difference of the brightness of close shot image and the brightness of distant view image is more than predetermined threshold value.
After getting the average brightness of average brightness and distant view image of close shot image, compare being averaged for close shot image
The size of the average brightness of brightness and distant view image.Judge whether the difference of the brightness of close shot image and the brightness of distant view image is big
In predetermined threshold value.Predetermined threshold value is an empirical value, and during repeatedly being synthesized to image, what is summed up works as close shot figure
The difference of the average brightness of picture and the average brightness of distant view image is more than the image for the image being then synthesized after some threshold value
Quality cannot reach effect so that image synthesizes obtained image and cannot permeate entirety.
Step 360, if so, determining brightness regulation coefficient to the brightness of close shot image according to the brightness of distant view image, and
Light efficiency processing is carried out to close shot image according to brightness regulation coefficient.
If judging result is more than predetermined threshold value for the difference of the brightness of close shot image and the brightness of distant view image, then just needing
Determine brightness regulation coefficient.Specifically, brightness regulation coefficient is determined to the brightness of close shot image according to the brightness of distant view image,
I.e. the brightness regulation coefficient is root obtained by the ratio calculation according to the average brightness of distant view image to the average brightness of close shot image
The brightness of close shot image is adjusted according to the brightness regulation coefficient.Such as close shot image all pixels point brightness value is multiplied by this
Brightness regulation coefficient so that brightness of the brightness of the close shot image after adjusting close to distant view image.Certainly, if the brightness regulation
Coefficient is obtained by the ratio calculation according to the average brightness of close shot image to the average brightness of distant view image, according to the brightness regulation
The brightness of distant view image is adjusted in coefficient.This avoid the difference in brightness of the brightness of close shot image and distant view image too
Greatly, then the image effect quality of the image subsequently synthesized can be substantially reduced.
Light efficiency processing is carried out to close shot image according to brightness regulation coefficient, specifically, obtaining the center in pending image
Pixel, obtaining light efficiency according to central pixel point enhances model, and it is using central pixel point as light source analogy light that light efficiency, which enhances model,
The model of line power variation.Enhance the light efficiency enhancing coefficient that model calculates each pixel in pending image according to light efficiency.Root
Enhance coefficient according to light efficiency and light efficiency enhancing processing is carried out to each pixel in pending image.
Light efficiency enhancing processing refers to the processing for enhancing the brightness of image.It, can after calculating light efficiency enhancing coefficient
Light efficiency enhancing processing is carried out to each pixel in pending image to enhance coefficient according to light efficiency.Light efficiency can specifically be passed through
Enhancing coefficient is overlapped to pending image or the mode of product carries out light efficiency enhancing processing.It is understood that in image
Pixel value value range be generally [0,255], therefore by light efficiency enhancing processing after pending image pixel
Value cannot be more than 255.
In the embodiment of the present application, judge whether the difference of the brightness of close shot image and the brightness of distant view image is more than default threshold
Value.If more than predetermined threshold value, then illustrate that the difference of the brightness of close shot image and the brightness of distant view image is excessive, it will influence follow-up
The quality of the image of synthesis.Therefore, brightness regulation coefficient is calculated, is adjusted to connect by the brightness of two images according to brightness regulation coefficient
Closely, subsequently carry out in this way image synthesize obtained image can more natural reality.
In one embodiment, as shown in figure 4, step 260, close shot image will carry out after overregulating with distant view image
Synthesis, the image that obtains that treated, including:
Step 262, the close shot image and distant view image after overregulating are obtained.
Step 264, the close shot image after overregulating is subjected to Feature Points Matching with distant view image.
Above-mentioned to close shot image or after the brightness of distant view image is adjusted, the close shot figure after adjusting is obtained
Picture and distant view image.Feature Points Matching is carried out with distant view image to the close shot image after overregulating.Specifically, general to use
The image matching algorithm of feature based carries out Feature Points Matching to close shot image and distant view image.The images match of feature based is calculated
Method does not directly rely on grey scale pixel value usually, but can again be carried out after more complicated image processing process extracts feature
Match.Characteristic matching refers to by extracting the feature of two or more images (features such as point, line, surface) respectively, joining to feature
Number description, then carries out a kind of matched algorithm with described parameter.
Step 266, the close shot image after overregulating is closed with distant view image according to the result of Feature Points Matching
At.
Obtain to close shot image and distant view image carry out after Feature Points Matching as a result, according to the result of Feature Points Matching
Close shot image after overregulating is synthesized with distant view image.So that the image after synthesis combines together, it is natural and
It is humorous.
In the embodiment of the present application, to close shot image and distant view image by way of Feature Points Matching, image synthesis is carried out.
Characteristic matching refers to carrying out parameter by extracting the feature of two or more images (features such as point, line, surface) respectively to feature and retouching
It states, a kind of matched algorithm is then carried out with described parameter.Pass through Feature Points Matching in this way and then carries out image
Synthesis, the amalgamation of the image so then synthesized is more preferable, more natural reality.
It in one embodiment, will be after overregulating according to the result of Feature Points Matching as shown in figure 5, step 266
Close shot image is synthesized with distant view image, including:
Step 266a obtains the first part in the close shot image after adjusting.
Step 266b obtains the second part in distant view image.
Under normal circumstances, the clarity of the foreground part in acquired close shot image is relatively high, and acquired distant view
The clarity of foreground part in image is generally relatively low.And when needing to be synthesized close shot image and distant view image, then
The advantages of two images can be extracted, closes the non-foreground part in the foreground part and distant view image in close shot image
At the obtained image will have both the feature that foreground part is clear and background partial visual field is larger.Close shot figure after adjusting
First part as in refers generally to the foreground part in close shot image, and the second part in distant view image refers generally in distant view image
Non- foreground part.It is of course also possible to be configured according to the demand of user and accordingly.
First part is carried out splicing with second part according to the result of Feature Points Matching and synthesized, obtained everywhere by step 266c
Image after reason.
After non-foreground part in the foreground part and distant view image in obtaining close shot image, by this two parts into
Row splicing synthesis, the image after being synthesized.
In the embodiment of the present application, when needing to be synthesized close shot image and distant view image, then two width figures can be extracted
The advantages of picture, synthesizes the non-foreground part in the foreground part and distant view image in close shot image, the obtained figure
As the feature that foreground part is clear and background partial visual field is larger will be had both.
In one embodiment, the first camera is wide-angle camera, and second camera is focal length camera.
In the embodiment of the present application, dual camera uses wide-angle camera+focal length camera, is used by left and right camera
Different angle of visibilities makes two cameras find a view difference.Wide-angle camera is used when clapping close shot, is taken the photograph using focal length when clapping distant view
As head, to realize optical zoom function.Therefore, close shot image is acquired by the first camera, and is adopted by second camera
Collect the distant view image of Same Scene.So under normal circumstances, then the first camera is wide-angle camera, and second camera is focal length
Camera.
In a specific embodiment, a kind of image processing method is provided, the electronics being applied in this way in Fig. 1
It is illustrated for equipment, including:
Step 1 acquires close shot image by wide-angle camera, and acquires the distant view of Same Scene by focal length camera
Image;
Step 2 obtains the average brightness of close shot image and the average brightness of distant view image;
Step 3, judges whether the difference of the average brightness of close shot image and the average brightness of distant view image is more than default threshold
Value;
Step 4, if so, determining brightness regulation coefficient, and root to the brightness of close shot image according to the brightness of distant view image
Light efficiency processing is carried out to close shot image according to brightness regulation coefficient;
Step 5 obtains close shot image and distant view image after overregulating;
Close shot image after overregulating is carried out Feature Points Matching, according to characteristic point by step 6 with distant view image
The result matched synthesizes the close shot image after overregulating with distant view image, the image after being synthesized.
In the embodiment of the present application, wide-angle camera is used when clapping close shot, and focal length camera is used when clapping distant view.Then it obtains
Take the brightness of close shot image and the brightness of distant view image.Judge the brightness of close shot image and the brightness of distant view image difference whether
More than predetermined threshold value.If so, brightness regulation coefficient is determined to the brightness of close shot image according to the brightness of distant view image, and according to
Brightness regulation coefficient carries out light efficiency processing to close shot image.Close shot image after overregulating is subjected to feature with distant view image
Point matching.The close shot image after overregulating is synthesized with distant view image according to the result of Feature Points Matching, is closed
At image later.So that the image after synthesis combines together, natural harmony.
In one embodiment, as shown in fig. 6, providing a kind of image processing apparatus 600, device includes:Image Acquisition
Module 602, image adjustment module 604 and image synthesis unit 606.Wherein,
Image capture module 602 for acquiring close shot image by the first camera, and is acquired together by second camera
The distant view image of one scene;
Image adjustment module 604, for being joined to the first image of close shot image according to the first image parameter of distant view image
Number determines the first image parameter adjustment factor, and according to the first image parameter adjustment factor to the first image parameter of close shot image
It is adjusted;
Image synthesis unit 606 obtains everywhere for synthesizing the close shot image after overregulating with distant view image
Image after reason.
In one embodiment, image adjustment module 604 is additionally operable to the brightness according to distant view image to the bright of close shot image
Degree determines brightness regulation coefficient, and the brightness of close shot image is adjusted according to brightness regulation coefficient.
In one embodiment, as shown in fig. 7, image adjustment module 604 includes:
Brightness of image acquisition module 604a, the brightness of brightness and distant view image for obtaining close shot image;
Judgment module 604b, whether the difference of the brightness of brightness and distant view image for judging close shot image, which is more than, is preset
Threshold value;
Light efficiency processing module 604c, for if so, being determined to the brightness of close shot image according to the brightness of distant view image bright
Adjustment factor is spent, and light efficiency processing is carried out to close shot image according to brightness regulation coefficient.
In one embodiment, as shown in figure 8, image synthesis unit 606, including:
Image collection module 606a after adjusting, for obtaining close shot image and distant view image after overregulating;
Feature Points Matching module 606b, for close shot image and distant view image progress characteristic point that will be after overregulating
Match;
Synthesis module 606c, for according to the result of Feature Points Matching by the close shot image and prospect map after overregulating
As being synthesized.
In one embodiment, synthesis module 606c is additionally operable to obtain the first part in the close shot image after adjusting;
Obtain the second part in distant view image;First part and second part are subjected to splicing conjunction according to the result of Feature Points Matching
At the image that obtains that treated.
The division of modules is only used for for example, in other embodiments, can will scheme in above-mentioned image processing apparatus
As processing unit is divided into different modules as required, to complete all or part of function of above-mentioned image processing apparatus.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
The step of image processing method that the various embodiments described above are provided is realized when machine program is executed by processor.
In one embodiment, a kind of electronic equipment is provided, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor realizes the figure that the various embodiments described above are provided when processor executes computer program
As the step of processing method.
The embodiment of the present application also provides a kind of computer program products, when run on a computer so that calculate
Machine executes the step of image processing method that the various embodiments described above are provided.、
The embodiment of the present application also provides a kind of electronic equipment.As shown in figure 9, for convenience of description, illustrating only and this
Apply for that the relevant part of embodiment, particular technique details are not disclosed, please refers to the embodiment of the present application method part.The electronics is set
Include mobile phone, tablet computer, PDA (Personal DigitalAssistant, personal digital assistant), POS for that can be
The arbitrary terminal device such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, Wearable, using electronic equipment as mobile phone
For:
Fig. 9 is the block diagram with the part-structure of the relevant mobile phone of electronic equipment provided by the embodiments of the present application.With reference to figure 9,
Mobile phone includes:Radio frequency (Radio Frequency, RF) circuit 910, input unit 930, display unit 940, passes memory 920
Sensor 950, voicefrequency circuit 990, Wireless Fidelity (wireless fidelity, WiFi) module 970, processor 980, Yi Ji electricity
The components such as source 990.It, can be with it will be understood by those skilled in the art that handset structure shown in Fig. 9 does not constitute the restriction to mobile phone
Including than illustrating more or fewer components, either combining certain components or different components arrangement.
Wherein, RF circuits 910 can be used for receiving and sending messages or communication process in, signal sends and receivees, can be by base station
After downlink information receives, handled to processor 980;The data of uplink can also be sent to base station.In general, RF circuits include but
Be not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier,
LNA), duplexer etc..In addition, RF circuits 910 can also be communicated with network and other equipment by radio communication.Above-mentioned channel radio
Letter can use any communication standard or agreement, including but not limited to global system for mobile communications (Global System of
Mobile communication, GSM), general packet radio service (General Packet Radio Service,
GPRS), CDMA (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code
Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE)), Email,
Short message service (Short Messaging Service, SMS) etc..
Memory 920 can be used for storing software program and module, and processor 980 is stored in memory 920 by operation
Software program and module, to execute various function application and the data processing of mobile phone.Memory 920 can include mainly
Program storage area and data storage area, wherein program storage area can storage program area, the application journey needed at least one function
Sequence (such as the application program of sound-playing function, application program of image player function etc.) etc.;Data storage area can store root
Created data (such as audio data, address list etc.) etc. are used according to mobile phone.In addition, memory 920 may include high speed
Random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device or
Other volatile solid-state parts.
Input unit 930 can be used for receiving the number or character information of input, and generate the user setting with mobile phone 900
And the related key signals input of function control.Specifically, input unit 930 may include touch panel 931 and other inputs
Equipment 932.Touch panel 931, alternatively referred to as touch screen collect user on it or neighbouring touch operation (such as user
Use the operation of any suitable object or attachment such as finger, stylus on touch panel 931 or near touch panel 931),
And corresponding attachment device is driven according to preset formula.In one embodiment, touch panel 931 may include touching inspection
Survey two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation
The signal brought, transmits a signal to touch controller;Touch controller receives touch information from touch detecting apparatus, and will
It is converted into contact coordinate, then gives processor 980, and can receive order that processor 980 is sent and be executed.In addition,
The multiple types such as resistance-type, condenser type, infrared ray and surface acoustic wave may be used and realize touch panel 931.In addition to touch surface
Plate 931, input unit 930 can also include other input equipments 932.Specifically, other input equipments 932 may include but not
It is limited to one or more in physical keyboard, function key (such as volume control button, switch key etc.) etc..
Display unit 940 can be used for showing information input by user or be supplied to user information and mobile phone it is various
Menu.Display unit 940 may include display panel 941.In one embodiment, liquid crystal display (Liquid may be used
Crystal Display, LCD), the forms such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED)
To configure display panel 941.In one embodiment, touch panel 931 can cover display panel 941, when touch panel 931 is examined
It measures and sends processor 980 on it or after neighbouring touch operation to determine the type of touch event, be followed by subsequent processing device
980 provide corresponding visual output according to the type of touch event on display panel 941.Although in fig.9, touch panel
931 be to realize input and the input function of mobile phone as two independent components with display panel 941, but in certain implementations
In example, can be integrated by touch panel 931 and display panel 941 and that realizes mobile phone output and input function.
Mobile phone 900 may also include at least one sensor 950, such as optical sensor, motion sensor and other sensings
Device.Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 941, and proximity sensor can close display panel when mobile phone is moved in one's ear
941 and/or backlight.Motion sensor may include acceleration transducer, can detect by acceleration transducer and adds in all directions
The size of speed can detect that size and the direction of gravity when static, can be used to identify application (such as the horizontal/vertical screen of mobile phone posture
Switching), Vibration identification correlation function (such as pedometer, tap) etc.;In addition, mobile phone can also configure gyroscope, barometer, humidity
Other sensors such as meter, thermometer, infrared sensor etc..
Voicefrequency circuit 990, loud speaker 991 and microphone 992 can provide the audio interface between user and mobile phone.Audio-frequency electric
The transformed electric signal of the audio data received can be transferred to loud speaker 991 by road 990, and sound is converted to by loud speaker 991
Signal exports;On the other hand, the voice signal of collection is converted to electric signal by microphone 992, is turned after being received by voicefrequency circuit 990
It is changed to audio data, then by after the processing of audio data output processor 980, another mobile phone can be sent to through RF circuits 910, or
Person exports audio data to memory 920 so as to subsequent processing.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 970
Part, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 9 is shown
WiFi module 970, but it is understood that, and it is not belonging to must be configured into for mobile phone 900, it can omit as needed.
Processor 980 is the control centre of mobile phone, using the various pieces of various interfaces and connection whole mobile phone, is led to
It crosses operation or executes the software program and/or module being stored in memory 920, and call and be stored in memory 920
Data execute the various functions and processing data of mobile phone, to carry out integral monitoring to mobile phone.In one embodiment, it handles
Device 980 may include one or more processing units.In one embodiment, processor 980 can integrate application processor and modulation
Demodulation processor, wherein the main processing operation system of application processor, user interface and application program etc.;Modulation /demodulation is handled
Device mainly handles wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 980.
Mobile phone 900 further includes the power supply 990 (such as battery) powered to all parts, it is preferred that power supply can pass through electricity
Management system and processor 980 are logically contiguous, to realize management charging, electric discharge and power consumption by power-supply management system
The functions such as management.
In one embodiment, mobile phone 900 can also include camera, bluetooth module etc..
Used in this application may include to any reference of memory, storage, database or other media is non-volatile
And/or volatile memory.Suitable 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 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).
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Cannot the limitation to the application the scope of the claims therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the guarantor of the application
Protect range.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (10)
1. a kind of image processing method, which is characterized in that including:
Close shot image is acquired by the first camera, and acquires the distant view image of Same Scene by second camera;
The first image, which is joined, to be determined to the first image parameter of the close shot image according to the first image parameter of the distant view image
Number adjustment factor, and the first image parameter of close shot image is adjusted according to described first image parameter regulation coefficient;
Close shot image after overregulating is synthesized with the distant view image, the image that obtains that treated.
2. according to the method described in claim 1, it is characterized in that, described first image parameter includes brightness,
The parameter according to the distant view image determines the first image parameter to the first image parameter of the close shot image
Adjustment factor, described first image parameter regulation coefficient be adjusted for the first image parameter to close shot image, including:
Brightness regulation coefficient is determined to the brightness of the close shot image according to the brightness of the distant view image, and according to the brightness
The brightness of close shot image is adjusted in adjustment factor.
3. according to the method described in claim 2, it is characterized in that, the brightness according to the distant view image is to the close shot
The brightness of image determines brightness regulation coefficient, and the brightness of close shot image is adjusted according to the brightness regulation coefficient, packet
It includes:
Obtain the brightness of the close shot image and the brightness of the distant view image;
Judge whether the difference of the brightness of the close shot image and the brightness of the distant view image is more than predetermined threshold value;
If so, brightness regulation coefficient is determined to the brightness of the close shot image according to the brightness of the distant view image, and according to
The brightness regulation coefficient carries out light efficiency processing to close shot image.
4. according to the method described in claim 1, it is characterized in that, it is described will after overregulating close shot image and the distant view
Image is synthesized, the image that obtains that treated, including:
Obtain the close shot image after overregulating and the distant view image;
The close shot image after overregulating and the distant view image are subjected to Feature Points Matching;
The close shot image after overregulating is synthesized with the distant view image according to the result of Feature Points Matching.
5. according to the method described in claim 1, it is characterized in that, the result according to Feature Points Matching by described through toning
Close shot image after section is synthesized with the distant view image, including:
Obtain the first part in the close shot image after the adjusting;
Obtain the second part in the distant view image;
The first part is carried out splicing with the second part according to the result of Feature Points Matching to synthesize, obtains that treated
Image.
6. according to the method described in claim 5, it is characterized in that, the first part in close shot image after the adjusting is
Foreground part in the distant view image.
7. according to the method described in claim 1, it is characterized in that, first camera be wide-angle camera, described second
Camera is focal length camera.
8. a kind of image processing apparatus, which is characterized in that described device includes:
Image capture module for acquiring close shot image by the first camera, and acquires Same Scene by second camera
Distant view image;
Image adjustment module, for being joined to the first image of the close shot image according to the first image parameter of the distant view image
Number determines the first image parameter adjustment factor, and according to described first image parameter regulation coefficient to the first image of close shot image
Parameter is adjusted;
Image synthesis unit is handled for synthesizing the close shot image after overregulating with the distant view image
Image afterwards.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The step of image processing method as described in any one of claim 1 to 7 is realized when processor executes.
10. 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, which is characterized in that the processor is realized when executing the computer program described in any one of claim 1 to 7
Image processing method the step of.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110072058A (en) * | 2019-05-28 | 2019-07-30 | 珠海格力电器股份有限公司 | Image capturing device, method and terminal |
CN111836017A (en) * | 2020-07-15 | 2020-10-27 | 广东欧谱曼迪科技有限公司 | Ultra-long depth-of-field ultra-wide dynamic endoscopic camera system and method |
CN111986263A (en) * | 2020-06-28 | 2020-11-24 | 百度在线网络技术(北京)有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
WO2022017111A1 (en) * | 2020-07-21 | 2022-01-27 | 腾讯科技(深圳)有限公司 | Image processing method and apparatus, electronic device and computer-readable storage medium |
WO2022166765A1 (en) * | 2021-02-05 | 2022-08-11 | 深圳传音控股股份有限公司 | Image processing method, mobile terminal and storage medium |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103826065A (en) * | 2013-12-12 | 2014-05-28 | 小米科技有限责任公司 | Image processing method and apparatus |
CN106454121A (en) * | 2016-11-11 | 2017-02-22 | 努比亚技术有限公司 | Double-camera shooting method and device |
CN106534689A (en) * | 2016-11-22 | 2017-03-22 | 珠海格力电器股份有限公司 | Multiple cameras-based image synthesis method and apparatus |
CN106851122A (en) * | 2017-02-27 | 2017-06-13 | 上海兴芯微电子科技有限公司 | The scaling method and device of the auto exposure parameter based on dual camera system |
US20180070018A1 (en) * | 2016-09-07 | 2018-03-08 | Multimedia Image Solution Limited | Method of utilizing wide-angle image capturing element and long-focus image capturing element for achieving clear and precise optical zooming mechanism |
-
2018
- 2018-05-16 CN CN201810465516.1A patent/CN108650442A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103826065A (en) * | 2013-12-12 | 2014-05-28 | 小米科技有限责任公司 | Image processing method and apparatus |
US20180070018A1 (en) * | 2016-09-07 | 2018-03-08 | Multimedia Image Solution Limited | Method of utilizing wide-angle image capturing element and long-focus image capturing element for achieving clear and precise optical zooming mechanism |
CN106454121A (en) * | 2016-11-11 | 2017-02-22 | 努比亚技术有限公司 | Double-camera shooting method and device |
CN106534689A (en) * | 2016-11-22 | 2017-03-22 | 珠海格力电器股份有限公司 | Multiple cameras-based image synthesis method and apparatus |
CN106851122A (en) * | 2017-02-27 | 2017-06-13 | 上海兴芯微电子科技有限公司 | The scaling method and device of the auto exposure parameter based on dual camera system |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110072058A (en) * | 2019-05-28 | 2019-07-30 | 珠海格力电器股份有限公司 | Image capturing device, method and terminal |
CN111986263A (en) * | 2020-06-28 | 2020-11-24 | 百度在线网络技术(北京)有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
CN111986263B (en) * | 2020-06-28 | 2023-09-12 | 百度在线网络技术(北京)有限公司 | Image processing method, device, electronic equipment and storage medium |
CN111836017A (en) * | 2020-07-15 | 2020-10-27 | 广东欧谱曼迪科技有限公司 | Ultra-long depth-of-field ultra-wide dynamic endoscopic camera system and method |
WO2022017111A1 (en) * | 2020-07-21 | 2022-01-27 | 腾讯科技(深圳)有限公司 | Image processing method and apparatus, electronic device and computer-readable storage medium |
WO2022166765A1 (en) * | 2021-02-05 | 2022-08-11 | 深圳传音控股股份有限公司 | Image processing method, mobile terminal and storage medium |
CN117253179A (en) * | 2023-11-20 | 2023-12-19 | 合肥中科类脑智能技术有限公司 | Distribution line bird nest detection method, storage medium and electronic equipment |
CN117253179B (en) * | 2023-11-20 | 2024-02-02 | 合肥中科类脑智能技术有限公司 | Distribution line bird nest detection method, storage medium and electronic equipment |
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