CN110475067A - Image processing method and device, electronic equipment, computer readable storage medium - Google Patents
Image processing method and device, electronic equipment, computer readable storage medium Download PDFInfo
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- CN110475067A CN110475067A CN201910790212.7A CN201910790212A CN110475067A CN 110475067 A CN110475067 A CN 110475067A CN 201910790212 A CN201910790212 A CN 201910790212A CN 110475067 A CN110475067 A CN 110475067A
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- image
- human face
- face region
- variable quantity
- correction process
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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
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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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
- H04N23/68—Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
- H04N23/681—Motion detection
- H04N23/6811—Motion detection based on the image signal
Abstract
This application involves image processing method and device, electronic equipment, computer readable storage medium, method includes: the first image of acquisition and the second image, wherein the second image is the backward frame image of the first image；Obtain the second human face region in the first human face region and the second image in the first image；Determine the human face region variable quantity between the first human face region and the second human face region；When human face region variable quantity is less than the first default variable quantity, correction process is carried out to the second human face region and obtains third image, shows third image.It can be improved the clarity of image using the present processes.
Description
Technical field
This application involves technical field of image processing, more particularly to a kind of image processing method and device, electronic equipment,
Computer readable storage medium.
Background technique
With the development of image processing techniques, there is stabilization technology.The effect of stabilization technology be when avoiding taking pictures because
The factors such as hand shake cause fuzzy pictures, improve the clarity of imaging.However, since traditional image procossing takes into consideration only hand
The factor of portion's shake carries out stabilization, causes image definition not high.
Summary of the invention
The embodiment of the present application provides a kind of image processing method, device, electronic equipment, computer readable storage medium, can
To improve the clarity of image.
A kind of image processing method, comprising:
Acquire the first image and the second image, wherein second image is the backward frame image of the first image；
Obtain the second human face region in the first human face region and second image in the first image；
Determine the human face region variable quantity between first human face region and second human face region；
When the human face region variable quantity is less than the first default variable quantity, second human face region is carried out at correction
Reason obtains third image, shows the third image.
A kind of image processing apparatus, comprising:
Image capture module, for acquiring the first image and the second image, wherein second image is first figure
The backward frame image of picture；
Human face region obtains module, for obtaining the in the first human face region and the second image in the first image
Two human face regions；
Variable quantity determining module, for determining that the human face region between first human face region and the second human face region becomes
Change amount；
Rectification module is used for when the human face region variable quantity is less than the first default variable quantity, according to the face area
Domain variable quantity carries out correction process to second human face region and obtains third image, shows the third image.
A kind of electronic equipment, including memory and processor store computer program, the calculating in the memory
When machine program is executed by the processor, so that the processor executes following steps:
Acquire the first image and the second image, wherein second image is the backward frame image of the first image；
Obtain the second human face region in the first human face region and second image in the first image；
Determine the human face region variable quantity between first human face region and second human face region；
When the human face region variable quantity is less than the first default variable quantity, second human face region is carried out at correction
Reason obtains third image, shows the third image.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
Following steps are realized when row:
Acquire the first image and the second image, wherein second image is the backward frame image of the first image；
Obtain the second human face region in the first human face region and second image in the first image；
Determine the human face region variable quantity between first human face region and second human face region；
When the human face region variable quantity is less than the first default variable quantity, second human face region is carried out at correction
Reason obtains third image, shows the third image.
Above-mentioned image processing method and device, electronic equipment, computer readable storage medium acquire the first image and second
Image, and corresponding human face region is obtained, human face region variable quantity is determined, when human face region variable quantity is less than the first default variation
When amount, correction process is carried out to second human face region and obtains third image, third image is shown, is shaken in human face region
In the case where, human face region can be made to keep opposing stationary state in a short time, improve the clarity of image or video.
Detailed description of the invention
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 technical 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
It obtains other drawings based on these drawings.
Fig. 1 is the applied environment figure of image processing method in one embodiment；
Fig. 2 is the schematic diagram of image processing circuit in one embodiment；
Fig. 3 is the flow chart of image processing method in one embodiment；
Fig. 4 is the schematic diagram of image in one embodiment；
Fig. 5 is the schematic diagram corrected in one embodiment to human face region；
Fig. 6 is the flow diagram for carrying out correction process in one embodiment to the second human face region；
Fig. 7 is the structural block diagram of image processing apparatus in one embodiment；
Fig. 8 is the schematic diagram of internal structure of electronic equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are 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.
It is appreciated that term " first " used in this application, " 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 the first element from the other element.Citing comes
It says, in the case where not departing from scope of the present application, the first image can be known as the second image, and similarly, it can be by second
Image is known as the first image.First image and the second image both image, but it is not same image.
Fig. 1 is the application environment schematic diagram of image processing method in one embodiment.As shown in Figure 1, the application environment packet
Include electronic equipment 110.Electronic equipment 110 includes front camera 112.The quantity of front camera 112 is unlimited, can be one
It is a, two, three etc. it is without being limited thereto.Front camera 112 can be used for acquiring the first image and the second image.Electronic equipment 110
Specifically it can be, but not limited to be personal computer, laptop, smart phone, tablet computer and portable wearable device.
The embodiment of the present application also provides a kind of electronic equipment.It include image processing circuit in above-mentioned electronic equipment, at image
Reason circuit can use hardware and or software component realization, it may include define ISP (Image Signal Processing, figure
As signal processing) the various processing units of pipeline.Fig. 2 is the schematic diagram of image processing circuit in one embodiment.Such as Fig. 2 institute
Show, for purposes of illustration only, only showing the various aspects of image processing techniques relevant to the embodiment of the present application.
As shown in Fig. 2, image processing circuit includes ISP processor 240 and control logic device 250.Imaging device 210 captures
Image data handled first by ISP processor 240, ISP processor 240 to image data analyzed with capture can be used for really
The image statistics of fixed and/or imaging device 210 one or more control parameters.Imaging device 210 may include having one
The camera of a or multiple lens 212 and imaging sensor 214.Imaging sensor 214 may include colour filter array (such as
Bayer filter), imaging sensor 214 can obtain the luminous intensity captured with each imaging pixel of imaging sensor 214 and wavelength
Information, and the one group of raw image data that can be handled by ISP processor 240 is provided.Sensor 220 (such as gyroscope) can be based on biography
The parameter (such as stabilization parameter) of the image procossing of acquisition is supplied to ISP processor 240 by 220 interface type of sensor.Sensor 220
Interface can use SMIA (Standard Mobile Imaging Architecture, Standard Mobile Imager framework) interface,
The combination of other serial or parallel camera interfaces or above-mentioned interface.
In addition, raw image data can also be sent to sensor 220 by imaging sensor 214, sensor 220 can be based on biography
Raw image data is supplied to ISP processor 240 to 220 interface type of sensor or sensor 220 deposits raw image data
It stores up in video memory 230.
ISP processor 240 handles raw image data pixel by pixel in various formats.For example, each image pixel can
Bit depth with 8,10,12 or 14 bits, ISP processor 240 can carry out raw image data at one or more images
Reason operation, statistical information of the collection about image data.Wherein, image processing operations can be by identical or different bit depth precision
It carries out.
ISP processor 240 can also receive image data from video memory 230.For example, 220 interface of sensor will be original
Image data is sent to video memory 230, and the raw image data in video memory 230 is available to ISP processor 240
It is for processing.Video memory 230 can be independent special in a part, storage equipment or electronic equipment of memory device
It with memory, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
When receiving from 214 interface of imaging sensor or from 220 interface of sensor or from video memory 230
When raw image data, ISP processor 240 can carry out one or more image processing operations, such as time-domain filtering.Treated schemes
As data can be transmitted to video memory 230, to carry out other processing before shown.ISP processor 240 is from image
Memory 230 receives processing data, and carries out in original domain and in RGB and YCbCr color space to the processing data
Image real time transfer.Treated that image data may be output to display 270 for ISP processor 240, for user's viewing and/or
It is further processed by graphics engine or GPU (Graphics Processing Unit, graphics processor).In addition, ISP processor
240 output also can be transmitted to video memory 230, and display 270 can read image data from video memory 230.In
In one embodiment, video memory 230 can be configured to realize one or more frame buffers.In addition, ISP processor 240
Output can be transmitted to encoder/decoder 260, so as to encoding/decoding image data.The image data of coding can be saved,
And it is decompressed before being shown in 270 equipment of display.Encoder/decoder 260 can be real by CPU or GPU or coprocessor
It is existing.
The statistical data that ISP processor 240 determines, which can be transmitted, gives control logic device Unit 250.For example, statistical data can wrap
Include the image sensings such as automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 212 shadow correction of lens
214 statistical information of device.Control logic device 250 may include the processor and/or micro-control for executing one or more routines (such as firmware)
Device processed, one or more routines can statistical data based on the received, determine the control parameter and ISP processor of imaging device 210
240 control parameter.For example, the control parameter of imaging device 210 may include 220 control parameter of sensor (such as gain, exposure
The time of integration, stabilization parameter of control etc.), camera flash control parameter, 212 control parameter of lens (such as focus or zoom
With focal length) or these parameters combination.ISP control parameter may include for automatic white balance and color adjustment (for example, in RGB
During processing) 212 shadow correction parameter of gain level and color correction matrix and lens.
The following are realize image processing method with image processing techniques in Fig. 2: acquisition the first image and second
Image, wherein the second image is the backward frame image of the first image；Obtain the first human face region and the second figure in the first image
The second human face region as in；Determine the human face region variable quantity between the first human face region and the second human face region；Work as face
When regional change amount is less than the first default variable quantity, correction process is carried out to the second human face region and obtains third image, display the
Three images.
Fig. 3 is the flow chart of image processing method in one embodiment.Image processing method in the present embodiment, with operation
It is described for electronic equipment 110 in Fig. 1.As shown in figure 3, image processing method, is applied to mobile electronic device, it should
Mobile electronic device includes front camera, including step 302 is to step 306.
Step 302, the first image and the second image are acquired, wherein the second image is the backward frame image of the first image.
Wherein, the first image and the second image may each be the image during preview image or video capture.The
Two images can be the next frame image adjacent with the first image, be also possible to backward frame image not adjacent with the first image.
Such as first image be first frame image, it is without being limited thereto that the second image can be third frame image etc..
Specifically, electronic equipment acquires the first image and the second image by front camera.
Step 304, it obtains and the second human face region in the first human face region and the second image in the first image.
Wherein, the first image includes first background area and the first human face region.As shown in figure 4, in one embodiment
The schematic diagram of image.Wherein, 410 be human face region, and 420 be background area.It include face in human face region.In human face region also
It may include other physical feelings of people.Image processing method in the embodiment of the present application separates human face region and background area
Processing.
Specifically, electronic equipment detects in the first image and the second image whether contain face by characteristic point.When first
When containing face in image and the second image, second in the first human face region and the second image in the first image is obtained
Human face region.
Step 306, the human face region variable quantity between the first human face region and the second human face region is determined.
Wherein, human face region variable quantity specifically can be face shift position variable quantity, the rotationally-varying angle of face, face
At least one of region area size.Human face region variable quantity can be distance, be also possible to angle.
Specifically, electronic equipment is changed by the characteristic point position in human face region determines the first human face region and the second people
Human face region variable quantity between face region.Such as human face characteristic point deviates to the left, and characteristic point does not deform, then it is determined that
Face deviates to the left.The corresponding region of human face characteristic point becomes smaller, then it is determined that face to far from camera of electronic equipment direction
It is mobile.
Step 308, when human face region variable quantity is less than the first default variable quantity, the second human face region is carried out at correction
Reason obtains third image, shows third image.
Wherein, the first default variable quantity is according to the type configuration of variable quantity.When human face region variable quantity is human face region position
When setting variable quantity, the first default variable quantity is the first face regional location variable quantity.When human face region variable quantity is face rotation
When angle changing, the first default variable quantity is the rotationally-varying angle of the first face.Correction process refers to that carrying out inclination to image rectifys
Just.Correction process can make portrait area in relative static conditions.
Specifically, when electronic equipment detects human face region variable quantity less than the first default variable quantity, electronic equipment pair
After second human face region carries out correction process, third image is obtained, shows third image.That is, electronic equipment adopts former camera
A frame image after the first image and the second image of collection replaces with third image.
In the present embodiment, when human face region variable quantity is less than the first default variable quantity, electronic equipment can be rectified according to default
Positive processing amplitude carries out correction process to second area, obtains third image.Such as default correction process amplitude can be first
One third, half or 2/3rds corresponding processing amplitudes of default variable quantity etc. are without being limited thereto.Third image refers to electronics
The image that equipment obtains after handling the second human face region in the second image.
In the present embodiment, when human face region variable quantity is less than the first default variable quantity, electronic equipment can be according to face area
Domain variable quantity carries out correction process to the second human face region, obtains third image.Such as human face region variable quantity is 2, then rectifying
Positive processing amplitude is also 2, keeps the position of the human face region in third image identical as the human face region position in the first image.
In the present embodiment, correction process is carried out to the second human face region and obtains third image, comprising: to the second human face region
It is corrected processing, and carries out electronic flutter-proof and handles to obtain third image.Electronic flutter-proof processing refers to using raising CCD
(Charge-coupled Device, charge coupled cell) photosensitive parameter accelerates shutter and simultaneously for the image obtained on CCD
It is analyzed, the stabilization then compensated using edge image.Electronic flutter-proof is produced using the processing that digital circuit carries out picture
Raw anti-shake effect.When Anti-shaking circuit work, shooting picture is only the 90% of real screen but not limited to this, then number is electric
Road carries out fuzzy Judgment to DE Camera Shake direction, and then carries out jitter compensation with remaining picture.Electronic flutter-proof is used in electricity
In the case that sub- equipment is shaken.
In the present embodiment, electronic equipment can also carry out U.S. face processing to human face region.
Image processing method in the present embodiment acquires the first image and the second image, and obtains corresponding human face region,
It determines human face region variable quantity, when human face region variable quantity is less than the first default variable quantity, shows that human face region has occurred gently
Micro- shake carries out correction process to second human face region and obtains third image, shows third image, occurs in human face region light
In the case where micro- shake, human face region can be made to keep opposing stationary state in a short time, and limit human face region just
Often activity improves the clarity of image or video.
In one embodiment, when human face region variable quantity is less than the first default variable quantity, changed according to human face region
Amount carries out correction process to the second human face region and obtains third image, comprising:
When human face region variable quantity is less than the first default variable quantity and is greater than the second default variable quantity, to the second face area
Domain carries out the first face correction process, obtains third image.
When human face region variable quantity is less than the second default variable quantity, the second human face region is carried out at the second face correction
Reason, obtains third image, wherein the correction amplitude of the first face correction process is greater than the amplitude of the second face correction process.
Wherein, the first default variable quantity is greater than the second default variable quantity.Correction amplitude, which refers to, carries out the second human face region
The degree of face correction.Such as correction amplitude can be correction angle, correction distance etc. it is without being limited thereto.
Specifically, as shown in figure 5, being the schematic diagram corrected in one embodiment to human face region.Wherein (a) figure is
First image, (b) figure is the second image, and (c) figure is third image.It is known that (c) figure face area after correction process
The deviation angle in domain is less than the deviation angle in (b) figure.(c) deviation angle in figure is less than or equal to the deviation angle in (a) figure
Degree.
When human face region variable quantity is less than the first default variable quantity and is greater than the second default variable quantity, the second face is determined
Regional change amount is larger, carries out the first face correction process to the second human face region, obtains third image.When human face region changes
It when amount is less than the second default variable quantity, determines that the second human face region variable quantity is smaller, the second face is carried out to the second human face region
Correction process obtains third image.
In the present embodiment, when human face region variable quantity is less than the first default variable quantity and is greater than the second default variable quantity,
The moving direction for obtaining human face region carries out at the first correction the second human face region to the direction opposite with the moving direction
Reason, obtains third image.
When human face region variable quantity is less than the second default variable quantity, obtain the moving direction of human face region, to the shifting
It moves contrary direction and the second correction process is carried out to the second human face region, obtain third image.
Image processing method in the present embodiment, when human face region variable quantity less than the first default variable quantity and is greater than second
When default variable quantity, the first face correction process is carried out to the second human face region, when human face region variable quantity is default less than second
When variable quantity, the second face correction process is carried out to the second human face region, can be carried out for different human face region variable quantities
Corresponding processing improves the precision of image procossing and the clarity of image or video.
In one embodiment, when human face region variable quantity is less than the first default variable quantity, to the second human face region into
Row correction process obtains third image, comprising: when human face region variable quantity is less than the first default variable quantity, obtains human face region
Moving direction；According to human face region variable quantity, the second human face region is carried out at correction to the direction opposite with moving direction
Reason, obtains third image.
Specifically, when electronic equipment detects that human face characteristic point deviates to the left, determine that the moving direction of human face region is
To the left.Electronic equipment carries out correction process to the second human face region to the right, obtains third image according to human face region variable quantity.
When electronic equipment detects that human face region reduces, determine that the moving direction of human face region is far from camera, according to face area
Domain variable quantity, to the direction close to camera to the second human face region progress correction process, the human face region increased, in turn
Obtain third image.
Image processing method in the present embodiment obtains people when human face region variable quantity is less than the first default variable quantity
The moving direction in face region；According to human face region variable quantity, the second human face region is carried out to the direction opposite with moving direction
Correction process obtains third image, can reduce the jitter amplitude of human face region, improves the clarity of image or video.
In one embodiment, the second image includes the second human face region and second background area.To the second human face region
It carries out correction process and obtains third image, comprising: correction process is carried out to the second human face region according to human face region variable quantity；When
There are when white space in the background area of image after detecting correction process, fill in the blanks region, obtains third image.
Wherein, electronic equipment converts human face region variable quantity to the correction amplitude of the second human face region, according to correction width
Degree carries out correction process to the second human face region.Since the image after correction may have white space, then when electronics is set
It is standby to detect in the background area of the image after correction process there are when white space, it is filled in the blanks area using image completion algorithm
Domain obtains third image.Such as image completion algorithm can be the filling algorithm that floods (Flood Fill Algorithm), Gauss
Filtering algorithm etc. is without being limited thereto.Alternatively, the image of background area corresponding pixel points in the second image is filled in strong by electronic equipment
In just treated white space, third image is obtained.
Image processing method in the present embodiment carries out at correction the second human face region according to human face region variable quantity
Reason, when, there are when white space, fill in the blanks region, obtains third figure in the background area for detecting the image after correction process
Picture, the third image that can make is and more life-like without white space, reduces the shake of human face region, improves image or video
Clarity.
In one embodiment, Fig. 6 is that the process for carrying out correction process to the second human face region in one embodiment is illustrated
Figure.Correction process is carried out to the second human face region, comprising:
Step 602, the corresponding depth information of the first image is obtained.
Specifically, the image processing method in the embodiment of the present application can be applied to the mobile electron comprising depth camera and set
In standby.Electronic equipment obtains the corresponding depth information of the first image by depth camera.
Step 604, the target range between face and camera is determined according to depth information.
Step 606, target is obtained according to target range and corrects amplitude, target corrects amplitude and target range is negatively correlated.
Wherein, since the distance between face and camera are bigger, the face of same jitter amplitude is in electronic equipment screen
The jitter amplitude of upper display is then smaller, therefore it is smaller to correct amplitude.
Specifically, the corresponding relationship of target range and target correction amplitude can first pass through the modes such as calibration in advance and be stored in electronics
Equipment.Electronic equipment can search corresponding target according to target range and correct amplitude.Alternatively, electronic equipment is according to target range
Variable quantity adjusts the variable quantity of correction amplitude, obtains target correction amplitude.
Step 608, amplitude is corrected according to target and correction process is carried out to the second human face region.
Specifically, electronic equipment corrects amplitude according to the target and corresponding make correction for direction carries out the second human face region
Correction process.The human face region of electronic equipment default makes correction for direction as face symmetry axis perpendicular to the width for working as preceding camera interface.
In the present embodiment, electronic equipment can correct amplitude and human face region variable quantity to the second human face region according to target
Carry out correction process.For example, human face region variation is 0.2 degree of offset to the left, and target range increases 0.02 centimetre simultaneously, then
Electronic equipment corrects amplitude and human face region variable quantity according to target, and the second human face region is made to deviate 0.1 degree to the right.
Image processing method in the present embodiment obtains the corresponding depth information of the first image, is determined according to depth information
Target range between face and camera obtains target according to target range and corrects amplitude, target correct amplitude and target away from
From negatively correlated, amplitude corrected according to target, correction process is carried out to the second human face region, can be applied to the electricity of multi-cam
In sub- equipment, and target correction amplitude is adjusted at a distance from camera according to face, the third image that can make more is forced
Very, the shake of human face region is reduced, the clarity of image or video is improved.
In one embodiment, the target range between face and camera is determined according to depth information, comprising: work as detection
When containing at least two human face region into first frame image, everyone is determined at least two human face regions according to depth information
Face region is at a distance from camera；Obtain each human face region at a distance from camera in apart from minimum value；It will be apart from minimum
Value is used as target range, will be apart from the corresponding human face region of minimum value as the second human face region.
Specifically, electronic equipment detects the human face region in the first image.It include at least two in the first image when detecting
When a human face region, determine that each human face region is at a distance from camera at least two human face region according to depth information.
Electronic equipment is obtained apart from minimum value, will be apart from minimum value as target range.Electronic equipment will also be corresponding apart from minimum value
Human face region is as the second human face region.Electronic equipment only carries out correction process, remaining human face region to second human face region
Remaining human face region is dealt with as background area, and not.
Image processing method in the present embodiment, when detect contain at least two human face region in first frame image when,
Determine that each human face region is at a distance from camera at least two human face regions according to depth information；Obtain each human face region
In at a distance from camera apart from minimum value；It will be apart from minimum value as target range, apart from the corresponding face area of minimum value
As the second human face region, the human face region then attached most importance to apart from the corresponding human face region of minimum value can only handle distance in domain
Nearest human face region improves image processing efficiency.
In one embodiment, correction process is carried out to the second human face region, comprising: obtain the face area in the first image
Domain area；Target is obtained according to human face region area and corrects amplitude, and target correction amplitude is positively correlated with human face region area；Root
Correction process is carried out to the second human face region according to target correction amplitude.
Wherein, the pixel quantity that human face region area can be occupied by human face region is calculated.Human face region area
It is bigger, then it represents that the distance between face and camera are smaller.Apart from smaller, the face of same jitter amplitude is in electronic equipment screen
The jitter amplitude shown on curtain is then bigger, therefore it is bigger to correct amplitude.So, human face region area is bigger, and target corrects amplitude
It is bigger.
Specifically, electronic equipment obtains the human face region face in the first image by the pixel quantity that human face region occupies
Product.Electronic equipment can obtain corresponding target according to human face region area and correct amplitude.Or electronic equipment can be according to face area
Domain area and image area determine the ratio of human face region area, obtain target according to ratio and correct amplitude.Human face region area
Accounting is bigger, then target correction amplitude is bigger.
Image processing method in the present embodiment obtains the human face region area in the first image；According to human face region face
Product obtains target and corrects amplitude, and target correction amplitude is positively correlated with human face region area；Amplitude is corrected to second according to target
Human face region carries out correction process, can correct amplitude, the third image that can make according to human face region rea adjusting target
It is more life-like, the shake of human face region is reduced, the clarity of image or video is improved.
In one embodiment, image processing method further include: obtain the corresponding depth information of the first image；According to depth
Degree information obtains the target range between face and camera；Default variation is adjusted according to the target range of face and camera
Amount, obtains the first default variable quantity, and it is negatively correlated at a distance from face and camera to preset variable quantity.
Specifically, electronic equipment obtains the corresponding depth information of the first image；Face and camera shooting are obtained according to depth information
Target range between head.Since in the identical situation of mobile range in user's human face region, distance is remoter, in electronic equipment
Display screen display variable quantity it is then smaller.Correction the purpose is to reduce the slight jitters of human face region, and do not correct people
The normal behaviour in face region, such as rotary head, the movement such as bow.So, when the target range between face and camera is bigger,
First default variable quantity is smaller；When target range of the face between camera is smaller, the first default variable quantity is bigger.Work as people
When face regional change amount is less than the first default variable quantity, correction process is carried out to the second human face region.
Image processing method in the present embodiment obtains the corresponding depth information of the first image；It is obtained according to depth information
Target range between face and camera adjusts default variable quantity according to the target range of face and camera, obtains first
Default variable quantity can adjust the first default variable quantity according to depth information, and the third image that can make is more life-like, reduces
The shake of human face region improves the clarity of image or video.
In one embodiment, the image processing method in the embodiment of the present application can operate with what human face region was shaken
In the case of.Such as the image processing method in the embodiment of the present application can operate in the scene of net cast, or record in video
In the scene of system or in the scene of image preview.In the scene of net cast, user may not be able to be always maintained at completely quiet
State only, there are some little tricks for example to tremble leg etc., and human face region is caused to have slight jitter.Using in the embodiment of the present application
Image processing method can reduce or eliminate this slight jitter.
In one embodiment, a kind of image processing method, comprising:
Step (a1) acquires the first image and the second image, wherein the second image is the backward frame image of the first image.
Step (a2) obtains the second human face region in the first human face region and the second image in the first image.
Step (a3) determines the human face region variable quantity between the first human face region and the second human face region.
Step (a4) obtains the corresponding depth information of the first image.
Step (a5), the target range between face and camera is obtained according to depth information.
Step (a6) adjusts default variable quantity according to the target range of face and camera, obtains the first default variable quantity,
Default variable quantity is negatively correlated at a distance from face and camera.
Step (a7) obtains the corresponding depth of the first image when human face region variable quantity is less than the first default variable quantity
Information.
Step (a8), when detect contain at least two human face region in the first image when, according to depth information determine extremely
Each human face region is at a distance from camera in few two human face regions.
Step (a9), obtain each human face region at a distance from camera in apart from minimum value.
Step (a10), will be apart from minimum value as target range, will be apart from the corresponding human face region of minimum value as second
Human face region.
Step (a11) obtains target according to target range and corrects amplitude, and target corrects amplitude and target range is in negative
It closes.
Step (a12) corrects amplitude according to target and carries out correction process to the second human face region.
Image processing method in the present embodiment acquires the first image and the second image, and obtains corresponding human face region,
It determines human face region variable quantity, the first default variable quantity can be adjusted according to depth information, when human face region variable quantity is less than the
When one default variable quantity, show that slight jitter has occurred in human face region, correction process is carried out to second human face region and obtains the
Three images, display third image can make human face region keep phase in a short time in the case where human face region is shaken
To static state, the clarity of image or video is improved.
It should be understood that although each step in the flow chart of Fig. 3 and 6 is successively shown according to the instruction of arrow,
It is these steps is not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
There is no stringent sequences to limit for rapid execution, these steps can execute in other order.Moreover, in Fig. 3 and 6 at least
A part of step may include that perhaps these sub-steps of multiple stages or stage are not necessarily in same a period of time to multiple sub-steps
Quarter executes completion, but can execute at different times, the execution in these sub-steps or stage be sequentially also not necessarily according to
Secondary progress, but in turn or can replace at least part of the sub-step or stage of other steps or other steps
Ground executes.
In one embodiment, Fig. 7 is the structural block diagram of the image processing apparatus of one embodiment.As shown in fig. 7, a kind of
Image processing apparatus, including image capture module 702, human face region obtain module 704, variable quantity determining module 706 and correction
Module 708, in which:
Image capture module 702, for acquiring the first image and the second image, wherein the second image is the first image
Backward frame image.
Human face region obtains module 704, for obtaining the in the first human face region and the second image in the first image
Two human face regions.
Variable quantity determining module 706, for determining that the human face region between the first human face region and the second human face region becomes
Change amount.
Rectification module 708, for being changed according to human face region when human face region variable quantity is less than the first default variable quantity
Amount carries out correction process to the second human face region and obtains third image, shows third image.
Image processing apparatus in the present embodiment acquires the first image and the second image, and obtains corresponding human face region,
It determines human face region variable quantity, when human face region variable quantity is less than the first default variable quantity, shows that human face region has occurred gently
Micro- shake carries out correction process to second human face region and obtains third image, shows third image, tremble in human face region
In the case where dynamic, human face region can be made to keep opposing stationary state in a short time, improve the clear of image or video
Degree.
In one embodiment, rectification module 708 is used for when human face region variable quantity is less than the first default variable quantity and big
When the second default variable quantity, the first face correction process is carried out to the second human face region, obtains third image；Work as human face region
When variable quantity is less than the second default variable quantity, the second face correction process is carried out to the second human face region, obtains third image,
In, the correction amplitude of the first face correction process is greater than the amplitude of the second face correction process.
Image processing apparatus in the present embodiment, when human face region variable quantity less than the first default variable quantity and is greater than second
When default variable quantity, the first face correction process is carried out to the second human face region, when human face region variable quantity is default less than second
When variable quantity, the second face correction process is carried out to the second human face region, can be carried out for different human face region variable quantities
Corresponding processing improves the precision of image procossing and the clarity of image or video.
In one embodiment, rectification module 708 is used for when human face region variable quantity is less than the first default variable quantity, is obtained
Take the moving direction of human face region；According to human face region variable quantity, to the direction opposite with moving direction to the second human face region
Correction process is carried out, third image is obtained.
Image processing apparatus in the present embodiment obtains people when human face region variable quantity is less than the first default variable quantity
The moving direction in face region；According to human face region variable quantity, the second human face region is carried out to the direction opposite with moving direction
Correction process obtains third image, can reduce the jitter amplitude of human face region, improves the clarity of image or video.
In one embodiment, rectification module 708 is for rectifying the second human face region according to human face region variable quantity
Positive processing；When, there are when white space, fill in the blanks region in the background area for detecting the image after correction process, is obtained
Three images.
Image processing apparatus in the present embodiment carries out at correction the second human face region according to human face region variable quantity
Reason, when, there are when white space, fill in the blanks region, obtains third figure in the background area for detecting the image after correction process
Picture, the third image that can make is and more life-like without white space, reduces the shake of human face region, improves image or video
Clarity.
In one embodiment, image processing apparatus further includes adjustment module.Module is adjusted for obtaining the first image pair
The depth information answered；The target range between face and camera is determined according to depth information；Target is obtained according to target range
Correction amplitude, target corrects amplitude and target range is negatively correlated.Rectification module 708 is used to correct amplitude to second according to target
Human face region carries out correction process.
Image processing apparatus in the present embodiment obtains the corresponding depth information of the first image, is determined according to depth information
Target range between face and camera obtains target according to target range and corrects amplitude, target correct amplitude and target away from
From negatively correlated, amplitude corrected according to target, correction process is carried out to the second human face region, can be applied to the electricity of multi-cam
In sub- equipment, and target correction amplitude is adjusted at a distance from camera according to face, the third image that can make more is forced
Very, the shake of human face region is reduced, the clarity of image or video is improved.
In one embodiment, adjustment module, which is used to detect in first frame image, contains at least two human face region
When, determine that each human face region is at a distance from camera at least two human face regions according to depth information；Obtain each face
Region at a distance from camera in apart from minimum value；Will be apart from minimum value as target range, it will be corresponding apart from minimum value
Human face region is as the second human face region.
Image processing apparatus in the present embodiment, when detect contain at least two human face region in first frame image when,
Determine that each human face region is at a distance from camera at least two human face regions according to depth information；Obtain each human face region
In at a distance from camera apart from minimum value；It will be apart from minimum value as target range, apart from the corresponding face area of minimum value
As the second human face region, the human face region then attached most importance to apart from the corresponding human face region of minimum value can only handle distance in domain
Nearest human face region improves image processing efficiency.
In one embodiment, adjustment module is used to obtain the human face region area in the first image；According to human face region
Area obtains target and corrects amplitude, and target correction amplitude is positively correlated with human face region area.Rectification module 708 is used for according to mesh
It marks correction amplitude and correction process is carried out to the second human face region.
Image processing apparatus in the present embodiment obtains the human face region area in the first image；According to human face region face
Product obtains target and corrects amplitude, and target correction amplitude is positively correlated with human face region area；Amplitude is corrected to second according to target
Human face region carries out correction process, can correct amplitude, the third image that can make according to human face region rea adjusting target
It is more life-like, the shake of human face region is reduced, the clarity of image or video is improved.
In one embodiment, adjustment module is for obtaining the corresponding depth information of the first image；It is obtained according to depth information
To the target range between face and camera；Default variable quantity is adjusted according to the target range of face and camera, obtains the
It is negatively correlated at a distance from face and camera to preset variable quantity for one default variable quantity.
Image processing apparatus in the present embodiment obtains the corresponding depth information of the first image；It is obtained according to depth information
Target range between face and camera adjusts default variable quantity according to the target range of face and camera, obtains first
Default variable quantity can adjust the first default variable quantity according to depth information, and the third image that can make is more life-like, reduces
The shake of human face region improves the clarity of image or video.
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.
Specific about image processing apparatus limits the restriction that may refer to above for image processing method, herein not
It repeats again.Modules in above-mentioned image processing apparatus can be realized fully or partially through software, hardware and combinations thereof.On
Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form
In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
Fig. 8 is the schematic diagram of internal structure of electronic equipment in one embodiment.As shown in figure 8, the electronic equipment includes logical
Cross the processor and memory of system bus connection.Wherein, which supports entire electricity for providing calculating and control ability
The operation of sub- equipment.Memory may include non-volatile memory medium and built-in storage.Non-volatile memory medium is stored with behaviour
Make system and computer program.The computer program can be performed by processor, to be mentioned for realizing following each embodiment
A kind of image processing method supplied.Built-in storage provides high speed for the operating system computer program in non-volatile memory medium
The running environment of caching.The electronic equipment can be mobile phone, tablet computer or personal digital assistant or wearable device etc..
Realizing for the modules in image processing apparatus provided in the embodiment of the present application can be the shape of computer program
Formula.The computer program can be run in terminal or server.The program module that the computer program is constituted is storable in terminal
Or on the memory of server.When the computer program is executed by processor, method described in the embodiment of the present application is realized
Step.
The embodiment of the present application also provides a kind of computer readable storage mediums.One or more is executable comprising computer
The non-volatile computer readable storage medium storing program for executing of instruction, when the computer executable instructions are executed by one or more processors
When, so that the step of processor executes image processing method.
A kind of computer program product comprising instruction, when run on a computer, so that computer executes image
Processing method.
Any reference to memory, storage, database or other media used in this application may include non-volatile
And/or volatile memory.Nonvolatile memory may include that read-only memory (ROM), programming ROM (PROM), electricity can be compiled
Journey ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include random access memory
(RAM), it is used as external cache.By way of illustration and not limitation, RAM is available in many forms, such as static state RAM
(SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDR SDRAM), enhanced SDRAM
(ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) directly RAM (RDRAM), straight
Connect 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
The limitation to the application the scope of the patents therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the concept of this application, various modifications and improvements can be made, these belong to the guarantor of the application
Protect range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (11)
1. a kind of image processing method characterized by comprising
Acquire the first image and the second image, wherein second image is the backward frame image of the first image；
Obtain the second human face region in the first human face region and second image in the first image；
Determine the human face region variable quantity between first human face region and second human face region；
When the human face region variable quantity is less than the first default variable quantity, correction process is carried out to second human face region and is obtained
To third image, the third image is shown.
2. the method according to claim 1, wherein described default less than first when the human face region variable quantity
When variable quantity, correction process is carried out to second human face region and obtains third image, comprising:
When the human face region variable quantity is less than the first default variable quantity and is greater than the second default variable quantity, to second people
Face region carries out the first face correction process, obtains third image；
When the human face region variable quantity is less than the second default variable quantity, the second people is carried out to second human face region
Face correction process obtains third image, wherein the correction amplitude of the first face correction process is rectified greater than second face
The amplitude just handled.
3. the method according to claim 1, wherein when the human face region variable quantity is less than the first default variation
When amount, correction process is carried out to second human face region and obtains third image, comprising:
When the human face region variable quantity is less than the first default variable quantity, the moving direction of the human face region is obtained；
According to the human face region variable quantity, second human face region is rectified to the direction opposite with the moving direction
Positive processing, obtains third image.
4. the method according to claim 1, wherein second image includes the second human face region and the second back
Scene area；
It is described that third image is obtained to second human face region progress correction process, comprising:
Correction process is carried out to second human face region according to the human face region variable quantity；
When, there are when white space, filling the white space in the background area for detecting the image after correction process, obtain
Third image.
5. the method according to claim 1, wherein it is described to second human face region carry out correction process,
Include:
Obtain the corresponding depth information of the first image；
The target range between face and camera is determined according to the depth information；
Target is obtained according to the target range and corrects amplitude, and the target correction amplitude and the target range are negatively correlated；
Amplitude is corrected according to the target, and correction process is carried out to second human face region.
6. according to the method described in claim 5, the target determined according to the depth information between face and camera
Distance, comprising:
When detect contain at least two human face region in the first image when, according to the depth information determine it is described at least
Each human face region is at a distance from camera in two human face regions；
Obtain each human face region at a distance from camera in apart from minimum value；
Using it is described apart from minimum value as target range, using it is described apart from the corresponding human face region of minimum value as the second face area
Domain.
7. the method according to claim 1, wherein it is described to second human face region carry out correction process,
Include:
Obtain the human face region area in the first image；
Target is obtained according to the human face region area and corrects amplitude, and the target correction amplitude is in the human face region area
It is positively correlated；
Amplitude is corrected according to the target, and correction process is carried out to second human face region.
8. method according to any one of claims 1 to 7, which is characterized in that the method also includes:
Obtain the corresponding depth information of the first image；
The target range between face and camera is obtained according to the depth information；
Default variable quantity is adjusted according to the target range of the face and the camera, obtains the first default variable quantity, it is described
Default variable quantity and the face with it is negatively correlated at a distance from the camera.
9. a kind of image processing apparatus characterized by comprising
Image capture module, for acquiring the first image and the second image, wherein second image is the first image
Backward frame image；
Human face region obtains module, for obtaining the second people in the first human face region and the second image in the first image
Face region；
Variable quantity determining module, for determining that the human face region between first human face region and the second human face region changes
Amount；
Rectification module, for being become according to the human face region when the human face region variable quantity is less than the first default variable quantity
Change amount carries out correction process to second human face region and obtains third image, shows the third image.
10. a kind of electronic equipment, including memory and processor, computer program, the calculating are stored in the memory
When machine program is executed by the processor, so that the processor is executed as at image described in any item of the claim 1 to 8
The step of reason method.
11. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
It realizes when being executed by processor such as the step of method described in any item of the claim 1 to 8.
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