CN108540716A - Image processing method, device, electronic equipment and computer readable storage medium - Google Patents
Image processing method, device, electronic equipment and computer readable storage medium Download PDFInfo
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- CN108540716A CN108540716A CN201810270592.7A CN201810270592A CN108540716A CN 108540716 A CN108540716 A CN 108540716A CN 201810270592 A CN201810270592 A CN 201810270592A CN 108540716 A CN108540716 A CN 108540716A
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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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
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
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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
- H04N23/62—Control of parameters via user interfaces
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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
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
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Abstract
The invention relates to a kind of image processing method, device, electronic equipment and computer readable storage mediums.The above method, including：Preview image is captured by imaging device；Acquire the environmental parameter of the preview image；The light effects parameter in light efficiency model is determined according to the environmental parameter；In the light efficiency model, the processing of light effects is added to the preview image according to the light effects parameter.Above-mentioned image processing method, device, electronic equipment and computer readable storage medium can add light effects automatically, improve the light effects of image, and simple and efficient to handle.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of image processing method, device, electronic equipment and meter
Calculation machine readable storage medium storing program for executing.
Background technology
In filming image, light is an important factor for determining the image effect that shooting obtains.Irradiating angle, the light of light
Line intensity, light color etc. may all influence image effect.Normally, since the shooting of photographer is lacked experience, or shooting
More simple and crude etc. reasons of equipment, the light that can not have often captured cause the image effect that shooting obtains poor.
Invention content
A kind of image processing method of the embodiment of the present application offer, device, electronic equipment and computer readable storage medium, can
To add light effects automatically, the light effects of image are improved.
A kind of image processing method, including：
Preview image is captured by imaging device；
Acquire the environmental parameter of the preview image；
The light effects parameter in light efficiency model is determined according to the environmental parameter；
In the light efficiency model, light effects are added to the preview image according to the light effects parameter
Processing.
A kind of image processing apparatus, including：
Capture module captures preview image for passing through imaging device；
Acquisition module, the environmental parameter for acquiring the preview image；
Parameter determination module, for determining the light effects parameter in light efficiency model according to the environmental parameter；
Processing module, in the light efficiency model, being carried out to the preview image according to the light effects parameter
Add the processing of light effects.
A kind of electronic equipment, including memory and processor are stored with computer program, the calculating in the memory
When machine program is executed by the processor so that the processor realizes method as described above.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
Method as described above is realized when row.
Above-mentioned image processing method, device, electronic equipment and computer readable storage medium are captured pre- by imaging device
It lookes at image, acquires the environmental parameter of preview image, the light effects parameter in light efficiency model is determined according to environmental parameter, and in light
It imitates in model, is added the processing of light effects to preview image according to light effects parameter, it can be dynamic according to environmental parameter
State adjusts light effects parameter, adds light effects automatically, image is made to have better light effects.
Description of the drawings
Fig. 1 is the application scenario diagram of image processing method in one embodiment；
Fig. 2 is the block diagram of electronic equipment in one embodiment；
Fig. 3 is the flow diagram of image processing method in one embodiment；
Fig. 4 is the flow diagram for determining color-toning parameters in one embodiment according to colour temperature；
Fig. 5 is that the flow for the processing for being added light effects to preview image according to light efficiency model in one embodiment is shown
It is intended to；
Fig. 6 is the schematic diagram of light efficiency model in one embodiment；
Fig. 7 is the block diagram of image processing apparatus in one embodiment；
Fig. 8 is the block diagram of parameter determination module in one embodiment；
Fig. 9 is the block diagram of processing module in one embodiment；
Figure 10 is the schematic diagram of image processing circuit 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 to explain the application, not
For limiting the application.
It is appreciated that term " first " used in this application, " second " etc. can be used to describe herein various elements,
But these elements should not be limited by these terms.These terms are only used to distinguish first element and another element.Citing comes
It says, in the case where not departing from scope of the present application, the first client can be known as the second client, and similarly, can incite somebody to action
Second client is known as the first client.First client and the second client both client, but it is not same visitor
Family end.
Fig. 1 is the application scenario diagram of image processing method in one embodiment.As shown in Figure 1, electronic equipment 10 can pass through
Imaging device shoots all scenery, the people etc. in scene 20, and the picture for capturing scene 20 obtains preview image, wherein
Imaging device can be camera etc..Electronic equipment 10 can acquire the environmental parameter of preview image, and be determined according to environmental parameter
Light effects parameter in light efficiency model.Electronic equipment 10 can be in light efficiency model, according to light effects parameter to preview image
It is added the processing of light effects.
Fig. 2 is the block diagram of electronic equipment in one embodiment.As shown in Fig. 2, the electronic equipment includes passing through system bus
Processor, memory, display screen and the input unit of connection.Wherein, memory may include non-volatile memory medium and processing
Device.The non-volatile memory medium of electronic equipment is stored with operating system and computer program, and the computer program is by processor
To realize a kind of image processing method provided in the embodiment of the present application when execution.The processor calculates and controls energy for providing
Power supports the operation of entire electronic equipment.Built-in storage in electronic equipment is the computer journey in non-volatile memory medium
The operation of sequence provides environment.The display screen of electronic equipment can be liquid crystal display or electric ink display screen etc., input dress
It can be the touch layer covered on display screen to set, and can also be the button being arranged on electronic equipment casing, trace ball or Trackpad,
Can also be external keyboard, Trackpad or mouse etc..The electronic equipment can be that mobile phone, tablet computer or individual digital help
Reason or Wearable etc..It will be understood by those skilled in the art that structure shown in Figure 2, only with application scheme phase
The block diagram of the part-structure of pass does not constitute the restriction for the electronic equipment being applied thereon to application scheme, specific electricity
Sub- equipment may include either combining certain components or with different components than more or fewer components as shown in the figure
Arrangement.
As shown in figure 3, in one embodiment, providing a kind of image processing method, including the following steps：
Step 310, preview image is captured by imaging device.
Electronic equipment can be generated a preview image, preview image can by the picture of imaging device real-time capture current scene
It is illustrated on electronic equipment screen.Imaging device can be the equipment such as camera, and imaging device may be provided on electronic equipment,
It can be not provided with connecting on an electronic device but with electronic equipment, the preview that imaging device captures can be shown on the screen of electronic equipment
Image.
Step 320, the environmental parameter of preview image is acquired.
Electronic equipment can acquire the environmental parameter of preview image, and environmental parameter can be used for indicating the ring of the scene of current shooting
Border situation.Environmental parameter may include colour temperature, ambient brightness etc., but not limited to this.Colour temperature can be used for indicating in light to include color
Ingredient, colour temperature refer to the color presented after absolute black body is heated since absolute zero (- 273 DEG C).Electronic equipment can acquire
The colour temperature of preview image obtains the color of light source in preview image according to colour temperature.Ambient brightness then can be used for indicating the strong of light source
Degree.
In one embodiment, electronic equipment can acquire the environmental parameter of preview image by sensor.For example, electronics is set
The standby light luminance that current scene can be acquired by light sensor, the environment which can be used as preview image are bright
Degree.Electronic equipment can acquire the colour temperature of preview image by color temperature sensor.
In one embodiment, also environmental parameter can be calculated according to preview image in electronic equipment.For example, electronic equipment
The colour temperature of preview image can be calculated by automatic white balance (Automatic white balance, AWB) algorithm, not
Different colors is will present out with the object under light environment, being taken, automatic white balance algorithm can be by being taken in image
Algorithm is reduced into true color.The ambient brightness of preview image can be calculated in electronic equipment by automatic exposure algorithm, from
Dynamic exposure algorithm can make the image captured under different lighting conditions and scene excessive lightness or darkness, and image is made to be in a tool
There is the gray scale of preferable view effect.
Step 330, the light effects parameter in light efficiency model is determined according to environmental parameter.
Optionally, electronic equipment can be provided with portrait light efficiency switch on interface, and user can trigger portrait light efficiency switch, choosing
It selects and whether portrait light efficiency processing is carried out to preview image, wherein the processing of portrait light efficiency refers to adding light in preview image
Effect can simulate the cloth light effect in studio, carry out polishing to the portrait in preview image, manufacture good light effects.
Portrait light efficiency type also may be selected in user, and portrait light efficiency type may include but be not limited to rim(ming) light, stage light applications, photographic studio light
Deng can also realize that the light effects etc. of different colours, user can voluntarily be selected according to actual demand.
Electronic equipment can build light efficiency model in advance, and light efficiency model can be used for being added light effects to preview image
The cloth light effect in studio is simulated in processing, realizes the effect that polishing is carried out to the portrait of preview image.Electronic equipment can be according to light
Effect model is added preview image the processing of light effects, it may include carries out blast processing to preview image, changes preview
The color etc. of image.Blast processing is carried out to preview image, may refer to the brightness value for improving pixel in preview image.Change
The color of preview image may refer to the color-values for changing pixel by color-toning parameters, which can be with pixel
It is the value in the color spaces such as RGB (red, green, blue), HSV (tone, saturation degree, lightness).
After electronic equipment acquires the environmental parameter of preview image, the light effect in light efficiency model can be determined according to environmental parameter
Fruit parameter.Optionally, light effects parameter may include color-toning parameters and brightness enhancing coefficient etc..Color-toning parameters are available
In the color for the light effects for adjusting addition, color-toning parameters may include color conversion matrix, color saturation etc., wherein
Color conversion matrix can be used for adjusting the color-values of pixel, and saturation degree then refers to the bright-coloured degree of color.Color saturation
The color saturation brightness enhancing coefficient that can be used for adjusting pixel can be used for adjusting the intensity for the light effects added.
In one embodiment, electronic equipment can determine the color-toning parameters in light efficiency model according to the colour temperature of acquisition.
Optionally, electronic equipment can pre-set the corresponding color-toning parameters of different colour temperatures, can after the colour temperature for acquiring preview image
Directly acquire color-toning parameters corresponding with the colour temperature of acquisition.The light added in preview image can be changed in color-toning parameters
The tone and color saturation of line effect.Electronic equipment can choose the light effects type of addition, light effects class according to colour temperature
Type may include setting sun light effect, cloudy effect, stage light applications effect etc., but not limited to this.It can be arranged in different light effects types
There are different color-toning parameters, for example, warm-toned color-toning parameters can be arranged in setting sun light effect, increases in preview image
Pixel keeps the light effects that preview image adds partially yellow, partially red, cool tone can be arranged in cloudy effect in the value in the channel R, G
Color-toning parameters, increase pixel in preview image keeps the light effects that preview image adds partially blue, inclined in the value of channel B
Ash etc., but not limited to this.
In one embodiment, electronic equipment can determine the brightness blast system in light efficiency model according to the ambient brightness of acquisition
Number.Optionally, light efficiency model can be dimensional gaussian distribution function, and dimensional gaussian distribution function is alternatively referred to as Two dimension normal distribution
Function, two edge distributions of dimensional gaussian distribution function are all the forms of One-Dimensional Normal distribution, but not limited to this.Brightness enhances
Coefficient can be associated with the distribution range in light efficiency model, and brightness enhancing coefficient is bigger, and distribution range can be bigger, the light effect of addition
The intensity of fruit is bigger；Brightness enhancing coefficient is smaller, and distribution range can be smaller, and the intensity of the light effects of addition is smaller.Electronics is set
After the ambient brightness of standby acquisition preview image, it can determine that the brightness enhancing coefficient in light efficiency model, environment are bright according to ambient brightness
Degree can enhance coefficient with brightness and be negatively correlated relationship, and ambient brightness is bigger, and brightness enhances coefficient can be smaller, and ambient brightness is smaller,
Brightness enhances coefficient can be bigger.
Step 340, in light efficiency model, the place of light effects is added to preview image according to light effects parameter
Reason.
Electronic equipment can be added preview image according to light efficiency model the processing of light effects, can be according to color adjustment
The color-values of pixel in parameter adjustment preview image enhance coefficient according to brightness and carry out blast processing etc. to preview image.It can
Selection of land, electronic equipment can also choose light effects type, different light effects according to environmental parameters such as colour temperature, the ambient brightness of acquisition
It may be provided with different light effects parameters in fruit type, electronic equipment can be according to the light effects of the light effects type of selection
Parameter is added preview image the processing of light effects.For example, electronic equipment is according to choosings such as colour temperature, the ambient brightness of acquisition
Setting sun light effect is taken, light effects parameter corresponding with setting sun light effect, including color-toning parameters and brightness enhancing can be obtained
Coefficient etc., and the processing that preview image is added light effects is joined according to light effects parameter, to reach in preview image
In stamp the effect of setting sun light.
In the present embodiment, preview image is captured by imaging device, the environmental parameter of preview image is acquired, according to environment
Parameter determines the light effects parameter in light efficiency model, and in light efficiency model, according to light effects parameter to preview image into
The processing of row addition light effects can be added light effects automatically, make according to environmental parameter dynamic adjustment light effects parameter
Image has better light effects, and simple and efficient to handle.
In one embodiment, step 330 determines the light effects parameter in light efficiency model according to environmental parameter, including：
Light effects color-values are chosen according to colour temperature, color conversion matrix is determined according to light effects color-values.
Electronic equipment acquires the colour temperature of preview image, can choose light effects color-values, light effects color according to colour temperature
Value can be used for indicating the color of the light effects of addition.Optionally, the light effects color-values of selection can be with the colour temperature category of acquisition
In same tone, to may make the light effects of addition that there is better view effect.For example, the colour temperature of acquisition is warm colour
It adjusts, then light effects color-values may belong to the color-values of warm tones, such as yellow, red etc., so as to preferably express
Environment in preview image.
Electronic equipment can determine color conversion matrix according to the light effects color-values of selection, and the color conversion matrix is available
In the color-values for changing each pixel of preview image, from original color adaptation it is by each pixel in preview image and light
The corresponding color of effect color-values, to reach the light for adding the color corresponding with light effects color-values in preview image
The purpose of line effect.Optionally, electronic equipment can be by the color-values of each pixel in preview image and color conversion matrix phase
Multiply, adjusts the color-values of each pixel in preview image.The color-values for adjusting each pixel of preview image, can be equivalent to
One layer of colour filter is added on preview image, which may be implemented in the light effect of preview image addition corresponding color
Fruit.Optionally, electronic equipment also can adjust the color saturation and contrast of each pixel, may make studio's lighting of simulation
Effect is more true, natural.
In the present embodiment, suitable light effects color-values can be chosen according to colour temperature, can make the light effects of addition with
The self-tone of image is consistent, and image is made to have better light effects.
As shown in figure 4, in one embodiment, step 330 determines the light effects in light efficiency model according to environmental parameter
Parameter includes the following steps：
Step 402, Face datection is carried out to preview image, determines the human face region of preview image.
Whether electronic equipment can carry out Face datection to preview image, judge in preview image to include face, if including,
It can determine the human face region of preview image.Electronic equipment can extract the characteristics of image of preview image, and be examined by preset face
It surveys model to analyze characteristics of image, judges in preview image whether to include face.Characteristics of image may include shape feature, sky
Between feature and edge feature etc., wherein shape feature refers to that shape local in preview image, space characteristics refer to preview
Mutual spatial position or relative direction relationship, edge feature between the multiple regions split in image refers to preview
The boundary pixel etc. between two regions is formed in image.
In one embodiment, Face datection model can be the pre- decision model for first passing through machine learning structure, structure
When Face datection model, a large amount of sample image can be obtained, includes facial image and unmanned image in sample image, it can basis
Whether each sample image is marked sample image comprising face, and using the sample image of label as Face datection model
Input, be trained by machine learning, obtain Face datection model.
Step 404, the facial characteristics of human face region is extracted, and human face expression is identified according to facial characteristics.
If it includes face that electronic equipment, which detects in preview image, it may be determined that human face region, and extract the face of human face region
Portion's feature, optionally, facial characteristics can by feature point group at, characteristic point can be used for describing the face shape of face, position and
Facial contour etc..Facial characteristics can be described with the coordinate value of each characteristic point, wherein coordinate value available feature point is corresponding
Location of pixels is indicated, such as the coordinate value of characteristic point is corresponding location of pixels X row Y row etc..
Electronic equipment can identify that human face expression, human face expression may include but be not limited to smile, laugh, cry according to facial characteristics
Tears, sad, serious, affability etc..Optionally, electronic equipment can build Expression Recognition model in advance, and electronic equipment can pass through expression
Identification model analyzes facial characteristics, obtains the human face expression of preview image.Electronic equipment can will include different human face expressions
Portrait image inputs Expression Recognition model as sample image.Electronic equipment can be to expression that every sample image includes into rower
Note, for example, the emotag smiled is 1, the expression of laugh is labeled as 2, and the emotag of sobbing is 3 etc., other can also be used
Mode is marked, however it is not limited to this.Expression Recognition model can carry out machine learning training, structure to each sample image of input
Build the feature space of each human face expression mapping.When human face expression is identified, electronic equipment can be by the facial characteristics of extraction
Expression Recognition model is inputted, it is similar to feature space that each human face expression maps that Expression Recognition model can calculate facial characteristics
Degree.If the similarity of facial characteristics and feature space is more than similarity threshold, electronic equipment can determine the face of preview image
Expression is human face expression corresponding with this feature space.For example, the similarity of facial characteristics feature space corresponding with smile is big
In similarity threshold 80%, then it can determine that human face expression is to smile.Optionally, Expression Recognition model can also be convolutional Neural net
Network model etc., however it is not limited to this.
Step 406, light effects color-values corresponding with human face expression are obtained.
After electronic equipment identifies the human face expression in preview image, light effects color corresponding with human face expression can be obtained
Value, the light effects color-values can be used for indicating the color of the light effects of addition.The corresponding light effects color of human face expression
Value can be used for setting off the color of mood atmosphere corresponding with human face expression.For example, human face expression is sadness, can correspond to cold
The light effects color-values of tone, human face expression are to laugh, and can correspond to warm-toned light effects color-values etc., but be not limited to
This.According to the light effects that light effects color-values are added, mood atmosphere corresponding with human face expression can be effectively set off.
Step 408, white balance data is calculated according to colour temperature, and color is generated according to white balance data and light effects color-values
Color transition matrix.
Electronic equipment can calculate white balance data according to colour temperature, wherein white balance data may include each Color Channel
Gain parameter etc., such as the gain parameter of R Color Channels, the gain parameter of B color channel etc., but not limited to this.Optionally, electric
Sub- equipment can carry out white balance processing according to white balance data to preview image.Optionally, electronic equipment can pass through gray world
The white balance algorithms such as algorithm, perfect reflection algorithm, global white balance algorithm or local white balance method put down preview image in vain
Weighing apparatus processing carries out color correct to preview image, preview image can be reduced into true color.Electronic equipment can be according to white flat
The data that weigh and light effects color-values generate color conversion matrix, and optionally, electronic equipment can be calculated first according to white balance data
The first submatrix is obtained, the first submatrix can be used for preview image being reduced into true colors, further according to light effects color-values
The second submatrix is calculated, the second submatrix can be used for adding and light effects color-values pair in the preview image being reduced
Answer the light effects of color.Color conversion matrix can be the product of the first submatrix and the second submatrix, and electronic equipment can will be pre-
The color-values of each pixel in image of looking at are multiplied with the color conversion matrix, can be equivalent to and first carry out white balance to preview image
It handles, originally the true colors of preview image, then light effects is added in the preview image after reduction.First to preview image into
The light effects of corresponding color are added in the processing of row white balance again, can prevent the light effects and the original colour temperature of preview image of addition
It acts, the problem for causing the performance of light effects color inaccurate improves the light effects of image.
In the present embodiment, the light effects that can add different colours automatically according to human face expression, improve portrait image
Light effects, and it is simple and efficient to handle.
As shown in figure 5, in one embodiment, step 340 is in light efficiency model, according to light effects parameter to preview graph
Processing as being added light effects, includes the following steps：
Step 502, blast position is obtained.
Electronic equipment can obtain blast position, and blast position may refer to carry out in the highlighting of blast processing preview image
Heart position, blast position can be considered as the highest position of light effects intensity of addition.Centered on blast position, to blast
The intensity of the light effects of position surrounding addition can continuously decrease.Optionally, blast position can be that electronic equipment is pre-set
Fixed point.For example, blast position can be the central point of preview image.Electronic equipment can obtain preview image width and
Length, and determine according to width and length the central point of preview image, the position of the central point of preview image can be width
The median of median and length.If the width of preview image is W, length L, then (L/2, W/2) can be used in the position of central point
It indicates.Blast position can also be other pre-set fixed points, be not limited to that.
Optionally, blast position can be the center of human face region in preview image.Electronic equipment is to preview image
Face datection is carried out, after determining human face region, the center of human face region can be obtained, and using the center as blast position
It sets.Blast position can also be the privileged site of human face region, for example, can be using the forehead region of face as blast position.Electricity
After sub- equipment determines human face region, the characteristic point of human face region is can extract, characteristic point can be used for describing the face shape of human face region
Shape and placement position, facial contour etc..Electronic equipment can determine forehead region according to characteristic point, and choose the center in forehead region
Point, using the central point in forehead region as blast position.The privileged site chosen in human face region is blast position, can make preview
The light effects of image addition are more preferable.
Optionally, blast position can also be that the position of user oneself selection, user can appointing by touch-control preview image
Meaning position, to the blast position needed for selection.Electronic equipment can receive the touch control operation of user, and be grasped according to the touch-control of reception
Make acquisition position of touch, it can be using the position of touch as blast position.User can select blast position according to actual demand, meet
The demand of different user can effectively improve the light effects of addition.It is to be appreciated that other modes can also be used in blast position
It is obtained, is not limited in above-mentioned several ways.
Step 504, according to the distribution center of blast location determination light efficiency model, and coefficient is enhanced according to brightness and determines distribution
Amplitude.
Step 506, dimensional gaussian distribution function is built according to distribution center and distribution range.
In the present embodiment, light efficiency model is dimensional gaussian distribution function, and electronic equipment can be according to blast location determination light
The distribution center of model is imitated, and coefficient is enhanced according to brightness and determines distribution range.The distribution center of light efficiency model can be used for determining
The position of light efficiency model, electronic equipment can be using blast positions as the distribution center of light efficiency model, and distribution center can be that two dimension is high
Highest point in this distribution function.The distribution range of light efficiency model can be used for describing the shape of dimensional gaussian distribution function.When bright
When degree enhancing coefficient is bigger, the shape of light efficiency model can more " tall and thin ", when brightness enhancing coefficient is smaller, the shape of light efficiency model
It can more " slight of stature ".
In one embodiment, the dimensional gaussian distribution function of light efficiency model can use formula (1) to indicate：
Wherein, z indicates the pixel in preview image；P (z) indicates that brightness when pixel carries out blast processing enhances width
Degree；D is standard deviation, and brightness enhancing coefficient can influence the size of d, and when brightness enhancing coefficient is bigger, d can be smaller, brightness enhancing system
Number gets over hour, and d can be bigger；μ indicates the distribution center of light efficiency model, and optionally, distribution center can be the blast position obtained.
In light efficiency model, it is in the pixel of preview image different location, corresponding brightness enhancing amplitude is different, range distribution center μ
Closer pixel, brightness enhance stronger, the remoter range distribution center μ pixel of amplitude, and it is smaller that brightness enhances amplitude.
Electronic equipment can build dimensional gaussian distribution function according to determining distribution center and distribution range, and according to structure
Dimensional gaussian distribution function pair preview image carry out blast processing.
Fig. 6 is the schematic diagram of light efficiency model in one embodiment.As shown in fig. 6, light efficiency model is dimensional gaussian distribution letter
Number, two edge distributions of the dimensional gaussian distribution function are all the forms of One-Dimensional Normal distribution.In light efficiency model, x-axis and y
Axis can be used for indicating that position coordinates of the pixel in preview image, z-axis can be used for indicating the brightness enhancing amplitude of pixel.Point
Cloth center 602 is the pixel that position coordinates are (x0, y0), and electronic equipment can obtain blast position, and using blast position as
Distribution center 602, distribution center 402 are that brightness enhances the maximum point of amplitude in light efficiency model.Brightness enhancing coefficient can be used for shadow
The distribution range of light efficiency model is rung, brightness enhancing coefficient is bigger, and the brightness enhancing amplitude of pixel is bigger in light efficiency model, pixel
The brightness that point improves is larger；Brightness enhancing coefficient is smaller, and the brightness enhancing amplitude of pixel is smaller in light efficiency model, and pixel carries
High brightness is smaller.
Step 508, blast processing is carried out according to dimensional gaussian distribution function pair preview image.
The brightness that electronic equipment can calculate pixel according to dimensional gaussian distribution function enhances amplitude, and brightness is enhanced width
The degree brightness value original with pixel is multiplied, and can be calculated blast treated brightness value.Electronic equipment can be according to calculating
The brightness value arrived carries out blast processing to pixel.
In one embodiment, electronic equipment can established standards brightness value, which can be used for indicating ideal bright
Degree can assert ideal effect there are one gathering around when the ambient brightness of preview image reaches the normal brightness value.Electronics is set
After standby acquisition ambient brightness, it can determine whether ambient brightness is less than normal brightness value.If it is bright that ambient brightness is greater than or equal to standard
Angle value then can not carry out blast processing to preview image.If ambient brightness is less than normal brightness value, can be according to normal brightness value
And brightness enhancing coefficient is calculated in ambient brightness, optionally, it can be normal brightness value and ambient brightness that brightness, which enhances coefficient,
Ratio.For example, normal brightness value is Y, ambient brightness X, if X ＜ Y, brightness enhances coefficient=Y/X.According to ambient brightness
Adjusting brightness enhances coefficient, can prevent the light of addition from the case where darker or lighter occur.
In the present embodiment, blast processing can be carried out by dimensional gaussian distribution function pair preview image, different location
The brightness enhancing amplitude of pixel is different, image can be made to have better light effects so that the light effects of addition are more true
It is real, natural.
In one embodiment, step 340 is added preview image according to light effects parameter in light efficiency model
The processing of light effects, including：Determine portrait area corresponding with human face region in preview image, and according to light effects parameter
The processing of light effects is added to portrait area.
Electronic equipment can determine that the portrait area of preview image, portrait area refer in preview image according to human face region
Include the whole region of the portrait of acquisition, human face region can belong to some in portrait area, portrait area other than face,
It may also include four limbs, the trunk etc. of collected people.Depth information can be used for indicating each pixel in preview image to electricity
The distance of the camera lens of sub- equipment.
In one embodiment, electronic equipment can obtain depth information and colouring information of human face region etc., and according to area
Domain growth algorithm or stingy nomography etc. determine portrait area.Optionally, electronic equipment can be first according to the depth information of human face region
Rough portrait area is obtained, the similitude of neighbor pixel is recycled, precisely obtains the portrait profile of portrait area, wherein
The similitude of neighbor pixel refers to that colouring information between pixel adjacent in certain area etc. is more close, will not
The case where mutation.The extractable difference between depth information and the depth information of human face region of electronic equipment is less than the first number
The pixel of value obtains rough portrait area, and calculates the rgb value of two neighboring pixel in the portrait area obtained roughly
Difference.If the difference of the rgb value of two neighboring pixel is less than second value, illustrate to belong to the same area, if two neighboring
The difference of the rgb value of pixel is greater than or equal to second value, illustrates to be not belonging to the same area.Electronic equipment can extract rough obtain
To portrait area in be greater than or equal to the difference of the rgb value of adjacent pixel the pixel of second value, form portrait
The portrait profile in region.Optionally, the gray scale difference value etc. that can also calculate two neighboring pixel, is not limited in the difference of rgb value
Value.
After electronic equipment determines portrait area, the place of light effects can be added to portrait area according to light efficiency model
Reason, for example the color-values of each pixel in portrait area can be adjusted according to color-toning parameters, coefficient pair is enhanced according to brightness
Portrait area carries out blast processing etc., but not limited to this.Optionally, electronic equipment can reduce the background area in addition to portrait area
Brightness value, keep background area dimmed, and portrait area recombines with dimmed background area is handled by treated
Image afterwards.Treated, and image can make one as possessing better light effects, make cloth light effect in simulation studio more
Really.
In the present embodiment, it can be added the processing of light effects to the portrait area in preview image, figure can be made
Portrait as in possesses better light effects, improves the effect of image addition light.
In one embodiment, a kind of image processing method is provided, is included the following steps：
Step (1), preview image is captured by imaging device.
Step (2), acquires the environmental parameter of preview image.
Step (3) determines the light effects parameter in light efficiency model according to environmental parameter.
In one embodiment, environmental parameter includes colour temperature, and light effects parameter includes color-toning parameters, color adjustment
Parameter is used for the color of light regulating effect.
In one embodiment, step (3), including：The light effects parameter in light efficiency model is determined according to environmental parameter,
Including：Light effects color-values are chosen according to colour temperature；Color conversion matrix is determined according to light effects color-values.
In one embodiment, step (3), including：Face datection is carried out to preview image, determines the face of preview image
Region；The facial characteristics of human face region is extracted, and human face expression is identified according to facial characteristics；Obtain light corresponding with human face expression
Line effect color-values；White balance data is calculated according to colour temperature, and color is generated according to white balance data and light effects color-values
Transition matrix.
In one embodiment, environmental parameter includes ambient brightness, and light effects include brightness enhancing coefficient, brightness enhancing
Coefficient is used for the intensity of light regulating effect.
In one embodiment, light efficiency model is dimensional gaussian distribution function.Step (3), including：Obtain blast position；
According to the distribution center of blast location determination light efficiency model, and coefficient is enhanced according to brightness and determines distribution range；According in distribution
The heart and distribution range build dimensional gaussian distribution function；Blast processing is carried out according to dimensional gaussian distribution function pair preview image.
Step (4) is added preview image according to light effects parameter at the place of light effects in light efficiency model
Reason.
In one embodiment, step (4), including：By the color-values and color conversion of each pixel in preview image
Matrix multiple, adds light effects in preview image, and light effects have color corresponding with color conversion matrix.
In the present embodiment, preview image is captured by imaging device, the environmental parameter of preview image is acquired, according to environment
Parameter determines the light effects parameter in light efficiency model, and in light efficiency model, according to light effects parameter to preview image into
The processing of row addition light effects can be added light effects automatically, make according to environmental parameter dynamic adjustment light effects parameter
Image has better light effects, and simple and efficient to handle.
It should be understood that although each step in above-mentioned each flow diagram is shown successively according to the instruction of arrow
Show, but these steps are not the inevitable sequence indicated according to arrow to be executed successively.Unless expressly state otherwise herein, this
There is no stringent sequences to limit for the execution of a little steps, these steps can execute in other order.Moreover, above-mentioned each stream
At least part step in journey schematic diagram may include that either these sub-steps of multiple stages or stage be simultaneously for multiple sub-steps
It is not necessarily and executes completion in synchronization, but can execute at different times, the execution in these sub-steps or stage
Sequence is also not necessarily and carries out successively, but can with other steps either the sub-step of other steps or stage at least one
Part executes in turn or alternately.
As shown in fig. 7, in one embodiment, providing a kind of image processing apparatus 700, including capture module 710, acquisition
Module 720, parameter determination module 730 and processing module 740.
Capture module 710 captures preview image for passing through imaging device.
Acquisition module 720, the environmental parameter for acquiring preview image.
Parameter determination module 730, for determining the light effects parameter in light efficiency model according to environmental parameter.
In one embodiment, environmental parameter includes colour temperature, and light effects parameter includes color-toning parameters, color adjustment
Parameter is used for the color of light regulating effect.
In one embodiment, environmental parameter includes ambient brightness, and light effects include brightness enhancing coefficient, brightness enhancing
Coefficient is used for the intensity of light regulating effect.
Processing module 740, in light efficiency model, light effect to be added to preview image according to light effects parameter
The processing of fruit.
In the present embodiment, preview image is captured by imaging device, the environmental parameter of preview image is acquired, according to environment
Parameter determines the light effects parameter in light efficiency model, and in light efficiency model, according to light effects parameter to preview image into
The processing of row addition light effects can be added light effects automatically, make according to environmental parameter dynamic adjustment light effects parameter
Image has better light effects, and simple and efficient to handle.
In one embodiment, parameter determination module 730 are additionally operable to choose light effects color-values, and root according to colour temperature
Color conversion matrix is determined according to light effects color-values.
In the present embodiment, suitable light effects color-values can be chosen according to colour temperature, can make the light effects of addition with
The self-tone of image is consistent, and image is made to have better light effects.
As shown in figure 8, in one embodiment, parameter determination module 730, including detection unit 732, recognition unit 734,
Color-values acquiring unit 736 and generation unit 738.
Detection unit 732 determines the human face region of preview image for carrying out Face datection to preview image.
Recognition unit 734, the facial characteristics for extracting human face region, and human face expression is identified according to facial characteristics.
Color-values acquiring unit 736, for obtaining light effects color-values corresponding with human face expression.
Generation unit 738, for calculating white balance data according to colour temperature, and according to white balance data and light effects color
Value generates color conversion matrix.
Optionally, processing module 740 are additionally operable to the color-values and color conversion matrix of each pixel in preview image
It is multiplied, light effects is added in preview image, light effects have color corresponding with color conversion matrix.
In the present embodiment, the light effects that can add different colours automatically according to human face expression, improve portrait image
Light effects, and it is simple and efficient to handle.
As shown in figure 9, in one embodiment, processing module 740, including position acquisition unit 742, distribution determination unit
744, construction unit 746 and blast unit 748.
Position acquisition unit 742, for obtaining blast position.
It is distributed determination unit 744, for the distribution center according to blast location determination light efficiency model, and is enhanced according to brightness
Coefficient determines distribution range.
Construction unit 746, for building dimensional gaussian distribution function according to distribution center and distribution range.
Blast unit 748, for carrying out blast processing according to dimensional gaussian distribution function pair preview image.
In the present embodiment, blast processing can be carried out by dimensional gaussian distribution function pair preview image, different location
The brightness enhancing amplitude of pixel is different, image can be made to have better light effects so that the light effects of addition are more true
It is real, natural.
In one embodiment, processing module 740 are additionally operable to determine portrait corresponding with human face region area in preview image
Domain, and the processing of light effects is added according to light effects parameter to portrait area.
In the present embodiment, it can be added the processing of light effects to the portrait area in preview image, figure can be made
Portrait as in possesses better light effects, improves the effect of image addition light.
The embodiment of the present application also provides a kind of electronic equipment.Above-mentioned electronic equipment includes image processing circuit, at image
Managing circuit can utilize hardware and or software component to realize, it may include define ISP (Image Signal Processing, figure
As signal processing) the various processing units of pipeline.Figure 10 is the schematic diagram of image processing circuit in one embodiment.Such as Figure 10 institutes
Show, for purposes of illustration only, only showing the various aspects with the relevant image processing techniques of the embodiment of the present application.
As shown in Figure 10, image processing circuit includes ISP processors 1040 and control logic device 1050.Imaging device 1010
The image data of capture is handled by ISP processors 1040 first, and ISP processors 1040 analyze image data can with capture
Image statistics for determining and/or imaging device 1010 one or more control parameters.Imaging device 1010 can wrap
Include the camera with one or more lens 1012 and imaging sensor 1014.Imaging sensor 1014 may include colour filter
Array (such as Bayer filters), imaging sensor 1014 can obtain the light captured with each imaging pixel of imaging sensor 1014
Intensity and wavelength information, and the one group of raw image data that can be handled by ISP processors 1040 is provided.1020 (such as top of sensor
Spiral shell instrument) parameter (such as stabilization parameter) of the image procossing of acquisition can be supplied to ISP processing based on 1020 interface type of sensor
Device 1040.1020 interface of sensor can utilize SMIA, and (Standard Mobile Imaging Architecture, standard are moved
Dynamic Imager Architecture) interface, other serial or parallel camera interfaces or above-mentioned interface combination.
In addition, raw image data can be also sent to sensor 1020 by imaging sensor 1014, sensor 1020 can base
It is supplied to ISP processors 1040 or sensor 1020 by original graph raw image data in 1020 interface type of sensor
As in data storage to video memory 1030.
ISP processors 1040 handle raw image data pixel by pixel in various formats.For example, each image pixel can
Bit depth with 8,10,12 or 14 bits, ISP processors 1040 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 processors 1040 can also receive image data from video memory 1030.For example, 1020 interface of sensor will be former
Beginning image data is sent to video memory 1030, and the raw image data in video memory 1030 is available to ISP processing
Device 1040 is for processing.Video memory 1030 can be only in a part, storage device or electronic equipment for memory device
Vertical private memory, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
1014 interface of imaging sensor is come from when receiving or from 1020 interface of sensor or from video memory
When 1030 raw image data, ISP processors 1040 can carry out one or more image processing operations, such as time-domain filtering.Place
Image data after reason can be transmitted to video memory 1030, to carry out other processing before shown.ISP processors
1040 can also from video memory 1030 receive processing data, to above-mentioned processing data carry out original domain in and RGB and YCbCr
Image real time transfer in color space.Image data that treated may be output to display 1080, for user viewing and/or
It is further processed by graphics engine or GPU (Graphics Processing Unit, graphics processor).In addition, ISP processors
1040 output also can be transmitted to video memory 1030, and display 1080 can read picture number from video memory 1030
According to.In one embodiment, video memory 1030 can be configured as realizing one or more frame buffers.In addition, ISP processing
The output of device 1040 can be transmitted to encoder/decoder 1070, so as to encoding/decoding image data.The image data of coding can
It is saved, and is decompressed before being shown in 1080 equipment of display.
ISP processors 1040 handle image data the step of include：VFE (Video Front are carried out to image data
End, video front) it handles and CPP (Camera Post Processing, camera post-processing) processing.To image data
VFE processing may include the contrast for correcting image data or brightness, change the illumination conditions data recorded in a digital manner, to figure
As data compensate processing (such as white balance, automatic growth control, γ correction etc.), image data is filtered.
The CPP processing of image data may include zooming in and out image, preview frame and record frame are provided to each path.Wherein, CPP
Different codecs can be used to handle preview frame and record frame.
Treated that image data can be transmitted to light efficiency module 1060 for ISP processors 1040, so as to the root before shown
The processing of light effects is added to image according to light efficiency model.Wherein, light efficiency module 1060 can be the CPU in electronic equipment
(Central Processing Unit, central processing unit), GPU or coprocessor etc..Treated the data of light efficiency module 1060
It can be transmitted to encoder/decoder 1070, so as to encoding/decoding image data.The image data of coding can be saved, and aobvious
It is decompressed before being shown in 1080 equipment of display.Wherein, light efficiency module 1060 may be additionally located at encoder/decoder 1070 and show
Between showing device 1080, i.e., light efficiency module 1060 is added light efficiency processing to the image being imaged.Above-mentioned encoder/decoder
1070 can be CPU, GPU or coprocessor etc. in electronic equipment.
The statistical data that ISP processors 1040 determine, which can be transmitted, gives control logic device Unit 1050.For example, statistical data can
It is passed including the images such as automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 1012 shadow correction of lens
1014 statistical information of sensor.Control logic device 1050 may include the processor for executing one or more examples (such as firmware) and/or micro-
Controller, one or more routines can be determined according to the statistical data of reception at control parameter and the ISP of imaging device 1010
Manage the control parameter of device 1040.For example, the control parameter of imaging device 1010 may include that 1020 control parameter of sensor (such as increases
Benefit, spectrum assignment the time of integration), camera flash control parameter, 1012 control parameter of lens (such as focus or zoom coke
Away from) or these parameters combination.ISP control parameters may include for automatic white balance and color adjustment (for example, in RGB processing
Period) 1012 shadow correction parameter of gain level and color correction matrix and lens.
In the present embodiment, above-mentioned image processing method can be realized with image processing techniques in Figure 10.
In one embodiment, a kind of electronic equipment, including memory and processor are provided, calculating is stored in memory
Machine program, when computer program is executed by processor so that processor executes following steps：
Preview image is captured by imaging device；
Acquire the environmental parameter of preview image；
The light effects parameter in light efficiency model is determined according to environmental parameter；
In light efficiency model, the processing of light effects is added to preview image according to light effects parameter.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, the calculating
Machine program realizes above-mentioned image processing method when being executed by processor.
In one embodiment, a kind of computer program product including computer program is provided, when it is in electronic equipment
When upper operation so that electronic equipment realizes above-mentioned image processing method when executing.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a non-volatile computer and can be read
In storage medium, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage is situated between
Matter can be magnetic disc, CD, read-only memory (Read-Only Memory, ROM) etc..
Any reference of memory, storage, database or other media may include as used herein 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).
Each technical characteristic of embodiment described above can be combined arbitrarily, to keep description succinct, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, it is all considered to be the range of this specification record.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the protection of the application
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：
Preview image is captured by imaging device；
Acquire the environmental parameter of the preview image；
The light effects parameter in light efficiency model is determined according to the environmental parameter；
In the light efficiency model, the place of light effects is added to the preview image according to the light effects parameter
Reason.
2. according to the method described in claim 1, it is characterized in that, the environmental parameter includes colour temperature, the light effects are joined
Number includes color-toning parameters, and the color-toning parameters are used to adjust the color of the light effects.
3. according to the method described in claim 2, it is characterized in that, described determine according to the environmental parameter in light efficiency model
Light effects parameter, including：
Light effects color-values are chosen according to the colour temperature；
Color conversion matrix is determined according to the light effects color-values.
4. according to the method described in claim 2, it is characterized in that, described determine according to the environmental parameter in light efficiency model
Light effects parameter, including：
Face datection is carried out to the preview image, determines the human face region of the preview image；
The facial characteristics of the human face region is extracted, and human face expression is identified according to the facial characteristics；
Obtain light effects color-values corresponding with the human face expression；
White balance data is calculated according to the colour temperature, and generates color according to the white balance data and light effects color-values and turns
Matrix is changed, the color conversion matrix may include the first submatrix and the second submatrix, and first submatrix is used for will be described
Preview image is reduced into true colors, and second submatrix is used for the addition in the preview image being reduced and is imitated with the light
The light effects of fruit color-values corresponding color.
5. method according to claim 3 or 4, which is characterized in that it is described in the light efficiency model, according to the light
Efficacy parameter is added the preview image processing of light effects, including：
The color-values of each pixel in the preview image are multiplied with the color conversion matrix, in the preview image
Light effects are added, the light effects have color corresponding with the color conversion matrix.
6. according to the method described in claim 1, it is characterized in that, the environmental parameter includes ambient brightness, the light is imitated
Fruit includes brightness enhancing coefficient, and the brightness enhancing coefficient is used to adjust the intensity of the light effects.
7. according to the method described in claim 6, it is characterized in that, the light efficiency model is dimensional gaussian distribution function；
It is described in the light efficiency model, light effects are added to the preview image according to the light effects parameter
Processing, including：
Obtain blast position；
According to the distribution center of light efficiency model described in the blast location determination, and coefficient is enhanced according to the brightness and determines distribution
Amplitude；
Dimensional gaussian distribution function is built according to the distribution center and distribution range；
Blast processing is carried out according to preview image described in the dimensional gaussian distribution function pair.
8. a kind of image processing apparatus, which is characterized in that including：
Capture module captures preview image for passing through imaging device；
Acquisition module, the environmental parameter for acquiring the preview image；
Parameter determination module, for determining the light effects parameter in light efficiency model according to the environmental parameter；
Processing module, in the light efficiency model, being added to the preview image according to the light effects parameter
The processing of light effects.
9. a kind of electronic equipment, including memory and processor, computer program, the computer are stored in the memory
When program is executed by the processor so that the processor realizes the method as described in claim 1 to 7 is any.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The method as described in claim 1 to 7 is any is realized when being executed by processor.
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