CN109246362A - A kind of image processing method and mobile terminal - Google Patents
A kind of image processing method and mobile terminal Download PDFInfo
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- CN109246362A CN109246362A CN201710297673.1A CN201710297673A CN109246362A CN 109246362 A CN109246362 A CN 109246362A CN 201710297673 A CN201710297673 A CN 201710297673A CN 109246362 A CN109246362 A CN 109246362A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
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Abstract
The embodiment of the invention discloses a kind of image processing method and mobile terminals, this method comprises: obtaining the corresponding N number of depth of field figure layer of image to be processed by the first camera and second camera；Wherein, N is the natural number more than or equal to 2；Determine the corresponding target light exposure amount of each depth of field figure layer；Wherein, the corresponding target light exposure amount of at least two depth of field figure layers is different；Corresponding depth of field figure layer is handled according to each target light exposure amount.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of image processing methods and mobile terminal.
Background technique
With the continuous development of the mobile terminal technologies such as smart phone, tablet computer, mobile terminal not only limits to already
In the simple function of communication, but integrate the equipment of the functions such as leisure, communications and entertainment.For example, general mobile terminal
On all have camera, take pictures or image demand for meet user.
The development trend of camera gradually switchs to dual camera, each movement from original single camera on mobile terminal
Terminal production firm is also using this as standard configuration.It can recorde the depth of view information of photo by the hardware of dual camera, perceive
It is photographed object distance, does Fuzzy Processing by object and background separation, or even by background.Furthermore it is also possible to take 3D effect
Photo, and the functions such as 360 degree of pan-shots are provided.
Dual camera on existing mobile terminal, under normal light on daytime, the image exposure of camera shooting is opposite
Uniformly, the brightness of distant objects and near objects is distinguished less, and the contrast that image is shown is not high, and crystalistic sense is not strong；At night
Under evening dim light, object can clearly be differentiated for human eye, and the more difficult resolution of camera.The image exposure of camera shooting
Unevenly, and distant objects are generally very dark, and near objects are slightly better than the effect of image distant objects.
In existing image processing method, when image to be processed is exposed processing, for image pair to be processed
The whole depth of field figure layers answered are all made of identical processing method, for example, by the corresponding exposure of whole depth of field figure layers of image to be processed
Light quantity is adjusted to target light exposure amount from current exposure amount, to realize the exposure-processed to image to be processed.
In the implementation of the present invention, at least there are the following problems in the prior art for inventor's discovery:
In existing image processing method, identical exposure is carried out for the corresponding each depth of field figure layer of image to be processed
Light processing, image processing effect are poor.
Summary of the invention
To solve existing technical problem, an embodiment of the present invention is intended to provide a kind of image processing method and movement are whole
End uses different exposure-processeds for the corresponding each depth of field figure layer of image to be processed, and image processing effect is preferable.
In order to achieve the above objectives, the technical solution of the embodiment of the present invention is achieved in that
The embodiment of the invention provides a kind of image processing methods, which comprises
The corresponding N number of depth of field figure layer of image to be processed is obtained by the first camera and second camera；Wherein, N is big
In the natural number for being equal to 2；
Determine the corresponding target light exposure amount of each depth of field figure layer；Wherein, the corresponding target light exposure of at least two depth of field figure layers
Amount is different；
Corresponding depth of field figure layer is handled according to each target light exposure amount.
In the above-described embodiments, the corresponding target light exposure amount of each depth of field figure layer of the determination, comprising:
Determine the corresponding reference exposure amount of each depth of field figure layer；
The corresponding factor of each depth of field figure layer is set；
The corresponding target of each depth of field figure layer is obtained according to the corresponding reference exposure amount of each depth of field figure layer and factor
Light exposure.
In the above-described embodiments, the corresponding reference exposure amount of each depth of field figure layer of the determination, comprising:
Obtain the corresponding object brightness parameter of each depth of field figure layer；
According to the corresponding relationship of the object brightness parameter and reference exposure amount that pre-save, each object brightness parameter is searched
Corresponding reference exposure amount.
In the above-described embodiments, the corresponding factor of each depth of field figure layer of setting, comprising:
N number of depth of field figure layer is divided into M group depth of field figure layer；Wherein, M is the natural number more than or equal to 2；
Obtain the corresponding exposure index of the image to be processed；
According to the exposure index and pre-set exposure index threshold value, each depth map in M group depth of field figure layer is set
The corresponding factor of layer.
It is in the above-described embodiments, described that N number of depth of field figure layer is divided into M group depth of field figure layer, comprising:
According to the average brightness of the image to be processed pre-saved and the corresponding reference exposure amount of each depth of field figure layer
Determine the depth of field boundary layer in N number of depth of field figure layer；
N number of depth of field figure layer is divided into first kind depth of field figure layer and the second class depth of field figure layer according to the depth of field boundary layer；
Whole first kind depth of field figure layers and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q
Be more than or equal to 1 natural number and the sum of P and Q be M.
The embodiment of the invention also provides a kind of mobile terminal, the mobile terminal include: acquiring unit, determination unit and
Processing unit；Wherein,
The acquiring unit, for obtaining the corresponding N number of scape of image to be processed by the first camera and second camera
Deep figure layer；Wherein, N is the natural number more than or equal to 2；
The determination unit, for determining the corresponding target light exposure amount of each depth of field figure layer；Wherein, at least two depth map
The corresponding target adjustment amount of layer is different；
The processing unit, for being handled according to each target adjustment amount corresponding depth of field figure layer.
In the above-described embodiments, the determination unit comprises determining that subelement, setting subelement and obtains subelement；Its
In,
The determining subelement, for determining the corresponding reference exposure amount of each depth of field figure layer；
The setting subelement, for the corresponding factor of each depth of field figure layer to be arranged；
The acquisition subelement, it is each for being obtained according to the corresponding reference exposure amount of each depth of field figure layer and factor
The corresponding target light exposure amount of depth of field figure layer.
In the above-described embodiments, the determining subelement is specifically used for obtaining the corresponding object brightness of each depth of field figure layer
Parameter；According to the corresponding relationship of the object brightness parameter and reference exposure amount that pre-save, each object brightness parameter pair is searched
The reference exposure amount answered.
In the above-described embodiments, the setting subelement, specifically for N number of depth of field figure layer is divided into M group depth of field figure layer；
Wherein, M is the natural number more than or equal to 2；Obtain the corresponding exposure index to be processed；According to the exposure index and in advance
The corresponding factor of each depth of field figure layer in M group depth of field figure layer is arranged in the exposure index threshold value of setting.
In the above-described embodiments, the setting subelement, specifically for according to the image to be processed pre-saved
Average brightness and the corresponding reference exposure amount of each depth of field figure layer determine the depth of field boundary layer in N number of depth of field figure layer；According to described
N number of depth of field figure layer is divided into first kind depth of field figure layer and the second class depth of field figure layer by depth of field boundary layer；By whole first kind depth of field
Figure layer and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q is the natural number and P more than or equal to 1
It is M with the sum of Q.
It can be seen that being obtained first by the first camera and second camera in the technical solution of the embodiment of the present invention
The corresponding N number of depth of field figure layer of image to be processed, then determines the corresponding target light exposure amount of each depth of field figure layer, finally according to each
Target light exposure amount handles corresponding depth of field figure layer.That is, being moved in the technical solution of the embodiment of the present invention
Dynamic terminal can carry out different exposure-processeds to each depth of field figure layer of image.And in the prior art, mobile terminal is to figure
Each depth of field figure layer of picture carries out identical exposure-processed.Therefore, compared to the prior art, the image that the embodiment of the present invention proposes
Processing method and mobile terminal use different exposure-processeds for the corresponding each depth of field figure layer of image to be processed, at image
It is preferable to manage effect；Also, the technical solution realization of the embodiment of the present invention is simple and convenient, and convenient for universal, the scope of application is wider.
Detailed description of the invention
Fig. 1 is the implementation process schematic diagram of image processing method in the embodiment of the present invention；
Fig. 2 is the composed structure schematic diagram of the corresponding N number of depth of field figure layer of image to be processed in the embodiment of the present invention；
Fig. 3 is the implementation method process signal that the corresponding target light exposure amount of each depth of field figure layer is determined in the embodiment of the present invention
Figure；
Fig. 4 is the implementation method process signal that the corresponding reference exposure amount of each depth of field figure layer is determined in the embodiment of the present invention
Figure；
Fig. 5 is the implementation method process signal that the corresponding factor of each depth of field figure layer is arranged in the embodiment of the present invention
Figure；
Fig. 6 is the first composed structure schematic diagram of mobile terminal in the embodiment of the present invention；
Fig. 7 is the second composed structure schematic diagram of mobile terminal in the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
Fig. 1 is the implementation process schematic diagram of image processing method in the embodiment of the present invention.As shown in Figure 1, image processing method
Method may comprise steps of:
Step 101 obtains the corresponding N number of depth of field figure layer of image to be processed by the first camera and second camera；Its
In, N is the natural number more than or equal to 2.
In a specific embodiment of the present invention, mobile terminal can be obtained by the first camera and second camera wait locate
The image of reason and the corresponding N number of depth of field figure layer of image to be processed.Specifically, in a specific embodiment of the present invention, it can move
Two cameras of postposition in terminal；First camera can be used as master and take the photograph；Second camera can be used as auxiliary take the photograph；Specifically
Ground, first camera uses color sensor, it is characterized in that color rendition is preferable, the image of acquisition is figure to be processed
Picture.Second camera uses black and white sensor, it is characterized in that photoperceptivity is stronger, wide dynamic range is suitble to shooting details,
The image of acquisition is primarily used to reference to the calculating depth of field.Two cameras are disposed in parallel, and separated by a distance.
Specifically, in a specific embodiment of the present invention, mobile terminal arrives figure to be processed by the way that dual camera is available
As corresponding N number of depth of field figure layer.Fig. 2 is the composed structure of the corresponding N number of depth of field figure layer of image to be processed in the embodiment of the present invention
Schematic diagram.As shown in Fig. 2, the corresponding N number of depth of field figure layer of image to be processed is respectively as follows: depth_1, depth_2, depth_
3 ..., depth_N；Wherein, N is the natural number more than or equal to 2.Specifically, depth_1 indicates first depth of field figure layer,
Depth_2 indicates second depth of field figure layer, and depth_3 indicates third depth of field figure layer ..., and depth_N indicates n-th depth map
Layer.For example, the depth of field of image to be processed is 20 meters, mobile terminal can set depth_1 for the figure layer that the depth of field is 1m, by scape
The figure layer of deep 2m is set as depth_2 ..., sets depth_20 for the figure layer of depth of field 20m, this 20 depth of field figure layers be exactly to
Handle the corresponding whole depth of field figure layers of image.
Step 102 determines the corresponding target light exposure amount of each depth of field figure layer；Wherein, at least two depth of field figure layers are corresponding
Target light exposure amount is different.
In a specific embodiment of the present invention, mobile terminal get the corresponding N number of depth of field figure layer of image to be processed it
Afterwards, the corresponding target light exposure amount of each depth of field figure layer can be determined；Wherein, the corresponding target light exposure amount of at least two depth of field figure layers
It is different.Preferably, in a specific embodiment of the present invention, the corresponding target light exposure amount of each depth of field figure layer be can wrap
It includes: gain G ain and time for exposure Exp.
Fig. 3 is the implementation method process signal that the corresponding target light exposure amount of each depth of field figure layer is determined in the embodiment of the present invention
Figure.As shown in figure 3, the method that mobile terminal determines the corresponding target light exposure amount of each depth of field figure layer may comprise steps of:
Step 102a, the corresponding reference exposure amount of each depth of field figure layer is determined.
In a specific embodiment of the present invention, mobile terminal can first determine the corresponding reference exposure of each depth of field figure layer
Amount；Wherein, the corresponding reference exposure amount of each depth of field figure layer may include: gain gain, time for exposure exp and brightness lum.
Preferably, in a specific embodiment of the present invention, in each depth of field figure layer there may be relatively clearly with opposite mould
The region of paste, mobile terminal clearly can choose some regional area in region relatively in each depth of field figure layer in advance,
Then mobile terminal determines the reference exposure amount for the regional area chosen.The reference for the regional area that each depth map layer choosing takes exposes
Light quantity is the corresponding reference exposure amount of each depth of field figure layer.
Fig. 4 is the implementation method process signal that the corresponding reference exposure amount of each depth of field figure layer is determined in the embodiment of the present invention
Figure.As shown in figure 4, the method that mobile terminal determines the corresponding reference exposure amount of each depth of field figure layer may comprise steps of:
Step 401 obtains the corresponding object brightness parameter of each depth of field figure layer.
In a specific embodiment of the present invention, it is corresponding can to obtain each depth of field figure layer in particular memory location for mobile terminal
Object brightness parameter；Preferably, in a specific embodiment of the present invention, mobile terminal can obtain each in particular memory location
The corresponding object brightness parameter of some regional area of a depth of field figure layer, the object brightness parameter are that depth of field figure layer is corresponding
Object brightness parameter.
The corresponding relationship of object brightness parameter and reference exposure amount that step 402, basis pre-save, searches each target
The corresponding reference exposure amount of luminance parameter.
In a specific embodiment of the present invention, mobile terminal can be protected after getting each object brightness in advance
It is searched in the corresponding relationship of the object brightness parameter and reference exposure amount deposited, so that it is corresponding to obtain each object brightness parameter
Reference exposure amount.
Specifically, in a specific embodiment of the present invention, mobile terminal can pre-save object brightness parameter and reference
The corresponding relationship of light exposure；Wherein, the value interval of object brightness parameter can be with are as follows: and 0~255, each object brightness parameter
One group of reference exposure amount can be corresponded to.Specifically, pair of mobile terminal pre-saves object brightness parameter and reference exposure amount
Should be related to can be as described in Table 1:
| Y | gain | exp | lum |
| 0 | gain0 | exp0 | lum0 |
| 1 | gain1 | exp1 | lum1 |
| 2 | gain2 | exp2 | lum2 |
| … | … | … | … |
| 255 | gain255 | exp255 | lum255 |
Table 1
As shown in Table 1 above, object brightness parameter is Y, and reference exposure amount includes: gain gain, time for exposure exp and
Brightness lum.Gain0, gain1, gain2 ..., gain255 are respectively that object brightness parameter is 0,1,2 ..., and 255 when is corresponding
Gain, exp0, exp1, exp2 ..., exp255 are respectively that object brightness parameter is 0,1,2 ..., when 255 when corresponding exposure
Between, lum0, lum1, lum2 ..., lum255 are respectively that object brightness parameter is 0,1,2 ..., the corresponding brightness of 255 when.
In a specific embodiment of the present invention, the corresponding ginseng of each object brightness parameter can directly be found out according to table 1
Examine light exposure.When object brightness parameter is greater than 255, which can be cast out or be normalized to object brightness parameter
For in 255 range.
According to above-mentioned analysis it is found that through the above steps 401~402, mobile terminal can be in particular memory location
The corresponding object brightness parameter of each depth of field figure layer is obtained, according to pair of the object brightness parameter and reference exposure amount that pre-save
It should be related to, obtain the corresponding reference exposure amount of each object brightness parameter.
Step 102b, the corresponding factor of each depth of field figure layer is set.
In a specific embodiment of the present invention, corresponding factor can be arranged to each depth of field figure layer in mobile terminal,
Then according to the corresponding reference exposure amount of each depth of field figure layer and factor, the corresponding target light exposure of each depth of field figure layer is obtained
Amount.Specifically, N number of depth of field figure layer first can be divided into first kind scape according to the corresponding brightness of each depth of field figure layer by mobile terminal
Then deep figure layer and the second class depth of field figure layer whole first kind depth of field figure layers and whole second class depth of field figure layers are respectively divided again
M group scape is arranged finally according to the corresponding exposure index of image to be processed and pre-set exposure index threshold value in multiple groups out
The corresponding factor of each depth of field figure layer in deep figure layer.Fig. 5 is corresponding for each depth of field figure layer is arranged in the embodiment of the present invention
The implementation method flow diagram of factor.As shown in figure 5, the corresponding factor of each depth of field figure layer is arranged in mobile terminal
Method may comprise steps of:
N number of depth of field figure layer is divided into M group depth of field figure layer by step 501；Wherein, M is the natural number more than or equal to 2.
In a specific embodiment of the present invention, mobile terminal is according to the average brightness of the image to be processed pre-saved and each
The corresponding reference exposure amount of a depth of field figure layer determines the depth of field boundary layer in N number of depth of field figure layer, and by depth of field boundary layer first by N
A depth of field figure layer is divided into two class depth of field figure layers, is respectively as follows: first kind depth of field figure layer and the second class depth of field figure layer, then will all the
A kind of depth of field figure layer and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q is oneself more than or equal to 1
Right number and the sum of P and Q are M.
Specifically, in a specific embodiment of the present invention, mobile terminal can determine a depth of field in N number of depth of field figure layer
Figure layer is depth of field boundary layer, using depth of field boundary layer as the boundary of the second class depth of field figure layer of first kind depth of field figure layer.Mobile terminal
The depth of field boundary layer in N number of depth of field figure layer can be determined according to the average brightness of image to be processed；Wherein, mobile terminal can be with
Its average brightness is obtained in particular memory location, each depth of field figure layer that the depth of field corresponds to the depth of field less than depth of field boundary layer is divided into
First kind depth of field figure layer；Each depth of field figure layer that the depth of field corresponds to the depth of field greater than depth of field boundary layer is divided into the second class depth map
Layer；Wherein, depth of field boundary layer can neither be divided into first kind depth of field figure layer, also not be divided into the second class depth of field figure layer.
Specifically, in a specific embodiment of the present invention, mobile terminal is searched equal with average brightness in whole brightness
Perhaps closest brightness is by depth of field figure layer corresponding to the brightness equal or closest with average brightness found
It is determined as depth of field boundary layer.For example, mobile terminal is found in N number of depth of field figure layer in the corresponding reference exposure amount of depth_i
Brightness it is equal with the average brightness of image to be processed, that is, determine depth_i be depth of field boundary layer.Therefore, by depth_1,
Depth_2 ..., depth_i-1 form first kind depth of field figure layer, by depth_i+1, depth_i+2 ..., depth_N composition the
Two class depth of field figure layers；Wherein, i is the natural number more than or equal to 1.Preferably, when mobile terminal find with average brightness phase
Deng or closest brightness it is not unique when, can be corresponding by any one brightness equal or closest with average brightness
Depth of field figure layer is determined as depth of field boundary layer.
Specifically, in a specific embodiment of the present invention, N number of depth of field figure layer is divided into first kind depth map by mobile terminal
After layer and the second class depth of field figure layer, whole first kind depth of field figure layers further can be divided into P group, all the second class depth map
Layer is divided into Q group；Wherein, P and Q is natural number more than or equal to 1 and the sum of P and Q are M.Specifically, of the invention specific
In embodiment, mobile terminal is in the process that whole first kind depth of field figure layers and whole second class depth of field figure layers are divided into multiple groups
In, the division of every group of depth of field figure layer can be determined according to arbitrary number.For example, mobile terminal has obtained the 10 of image to be processed
A depth of field figure layer, and determine that wherein the 6th depth of field figure layer is depth of field boundary layer, the 1st to the 5th depth of field figure layer is the first kind
Depth of field figure layer, the 7th to the 10th depth of field figure layer are the second class depth of field figure layer.Mobile terminal can be by the 1st to the 3rd scape
Deep figure layer is divided into first group of depth of field figure layer, and the 4th and the 5th are divided into second group of depth of field figure layer, by the 7th to the 10th
It is divided into third group depth of field figure layer.
Step 502 obtains the corresponding exposure index of image to be processed.
In a specific embodiment of the present invention, it is corresponding can to obtain image to be processed in particular memory location for mobile terminal
Exposure index.Exposure index can indicate the depth of exposure of image to be processed, then mobile terminal according to exposure index and in advance
The exposure index threshold value of setting, can judge light condition locating for image to be processed；Wherein, the light condition includes:
Bright light and dim lights.
Step 503, according to exposure index and pre-set exposure index threshold value, each scape in M group depth of field figure layer is set
The corresponding factor of deep figure layer.
In a specific embodiment of the present invention, mobile terminal is getting exposure index and pre-set exposure index threshold
After value, each depth of field figure layer in M group depth of field figure layer can be arranged according to exposure index and pre-set exposure index threshold value
Corresponding factor.
Specifically, in a specific embodiment of the present invention, mobile terminal can first determine first kind depth of field figure layer and second
The setting range of the corresponding factor of each depth of field figure layer in class depth of field figure layer.When exposure index is greater than or equal to exposure index
When threshold value, it may be assumed that when light condition locating for image to be processed is dim lights, mobile terminal can will be in first kind depth of field figure layer
The corresponding factor of each depth of field figure layer is set as 0~1 numerical value, by each depth of field figure layer pair in the second class depth of field figure layer
The factor answered is set greater than 1 numerical value；Alternatively, when exposure index is less than exposure index threshold value, i.e., image to be processed
When locating light condition is bright light, mobile terminal can be by the corresponding exposure of depth of field figure layer each in first kind depth of field figure layer
Backscatter extinction logarithmic ratio is set greater than 1 numerical value, 0 is set by the corresponding factor of depth of field figure layer each in the second class depth of field figure layer~
1 numerical value.For example, including: depth_1, depth_2 ..., depth_i-1, the second class depth of field figure layer in first kind depth of field figure layer
In include: depth_i+1, depth_i+2 ..., depth_N.When the light condition locating for the image to be processed is dim lights,
Depth_1, depth_2 ..., depth_i-1 corresponding factor ratio_1, ratio_2 ... is arranged in mobile terminal,
The numerical value that ratio_i-1 is 0~1, depth_i+1, depth_i+2 ..., the corresponding factor ratio_i+1 of depth_N,
Ratio_i+2 ..., ratio_N are the numerical value greater than 1；It is mobile when the light condition locating for the image to be processed is bright light
Depth_1, depth_2 ..., depth_i-1 corresponding factor ratio_1, ratio_2 ..., ratio_i- is arranged in terminal
1 is the numerical value greater than 1, depth_i+1, depth_i+2 ..., depth_N corresponding factor ratio_i+1, ratio_i+
The numerical value that 2 ..., ratio_N are 0~1.The corresponding factor of depth of field boundary layer depth_i light locating for image to be processed
Lines part is to be disposed as 1 under bright light or dim lights, i.e. depth of field boundary layer depth_i in exposure process not
It deals with.
Specifically, mobile terminal each depth of field figure layer in determining first kind depth of field figure layer and the second class depth of field figure layer is corresponding
Factor setting range after, the setting model of different factors can be set further directed to different depth of field figure layer groups
It encloses, so that the corresponding factor of each depth of field figure layer more accurately be arranged.For example, light condition locating for image to be processed is
When dim lights, whole depth of field figure layers are divided into 6 groups by mobile terminal, wherein whole depth maps in the 1st group to the 4th group
Layer is first kind depth of field figure layer, and whole depth of field figure layers in the 5th group and the 6th group are the second class depth of field figure layer.At this point, mobile
Terminal can set the corresponding factor of depth of field figure layer each in the 1st group of depth of field figure layer to 0~0.3 numerical value, the 2nd group of scape
The corresponding factor of each depth of field figure layer is set as 0.3~0.5 numerical value, each scape in the 3rd group of depth of field figure layer in deep figure layer
The corresponding factor of deep figure layer is set as 0.5~0.8 numerical value, the corresponding exposure of each depth of field figure layer in the 4th group of depth of field figure layer
Backscatter extinction logarithmic ratio is set as 0.8~1 numerical value, in the 5th group of depth of field figure layer the corresponding factor of each depth of field figure layer be set as 1~
1.5 numerical value, the corresponding factor of each depth of field figure layer is set as 1.5~1.8 numerical value in the 6th group of depth of field figure layer.
Step 102c, each depth of field figure layer pair is obtained according to the corresponding reference exposure amount of each depth of field figure layer and factor
The target light exposure amount answered.
In a specific embodiment of the present invention, mobile terminal is provided with the corresponding factor of each depth of field figure layer, simultaneously
The corresponding reference exposure amount of each depth of field figure layer is got, according to the corresponding factor of each depth of field figure layer and with reference to exposure
The corresponding target light exposure amount of each depth of field figure layer can be calculated in light quantity.
Specifically, in a specific embodiment of the present invention, the corresponding target light exposure amount of each depth of field figure layer is each scape
The product of the corresponding reference exposure amount of the corresponding factor of deep figure layer.Specifically, the corresponding target of each depth of field figure layer
Light exposure is as described in Table 2:
| Gain | Exp |
| Gain_1=ratio_1 × gain_1 | Exp_1=ratio_1 × exp_1 |
| Gain_2=ratio_2 × gain_2 | Exp_2=ratio_2 × exp_2 |
| Gain_3=ratio_3 × gain_3 | Exp_3=ratio_3 × exp_3 |
| … | … |
| Gain_i=ratio_i × gain_i | Exp_i=ratio_i × exp_i |
| … | … |
| Gain_N=ratio_N × gain_N | Exp_N=ratio_N × exp_N |
Table 2
In each expression formula of above-mentioned table 2, ratio_1, ratio_2, ratio_3 ..., ratio_i ..., ratio_N
For the corresponding factor of each depth of field figure layer, gain_1, gain_2, gain_3 ..., gain_i ..., gain_N are each scape
Gain in the corresponding reference exposure amount of deep figure layer, exp_1, exp_2, exp_3 ..., exp_i ..., exp_N are each depth map
Time for exposure in the corresponding reference exposure amount of layer, Gain_1, Gain_2, Gain_3 ..., Gain_i ..., Gain_N are each
Gain in the corresponding target light exposure amount of depth of field figure layer, Exp_1, Exp_2, Exp_3 ..., Exp_i ..., Exp_N are each scape
Time for exposure in the corresponding target light exposure amount of deep figure layer.
According to above-mentioned analysis it is found that 102a~102c, mobile terminal can determine image to be processed through the above steps
The corresponding target light exposure amount of each depth of field figure layer.Specifically, mobile terminal can be corresponding with reference to exposure according to each depth of field figure layer
Light quantity and the corresponding exposure parameter of each depth of field figure layer, obtain the corresponding target light exposure amount of each depth of field figure layer.
Step 103 is handled corresponding depth of field figure layer according to each target light exposure amount.
In a specific embodiment of the present invention, mobile terminal can be according to each target light exposure amount to corresponding depth of field
Figure layer is handled.Specifically, mobile terminal can be treated after getting the corresponding target light exposure amount of each depth of field figure layer
Each depth of field figure layer of processing image is exposed processing.Each depth of field figure layer is realized according to its corresponding target light exposure amount to be increased
Beneficial Gain, the adjustment of time for exposure Exp obtain new depth of field figure layer.Each new depth of field figure layer is fused to one by mobile terminal
It rises, available new image realizes and carries out different exposure-processeds to the different depth of field figure layers of image to be processed.
The image processing method that the embodiment of the present invention proposes, is obtained by the first camera and second camera wait locate first
The corresponding N number of depth of field figure layer of image is managed, the corresponding target light exposure amount of each depth of field figure layer is then determined, finally according to each target
Light exposure handles corresponding depth of field figure layer.That is, being moved in the image processing method of the embodiment of the present invention
Dynamic terminal can carry out different exposure-processeds to each depth of field figure layer of image.And in the prior art, mobile terminal is to figure
Each depth of field figure layer of picture carries out identical exposure-processed.Therefore, compared to the prior art, the image that the embodiment of the present invention proposes
Processing method uses different exposure-processeds for the corresponding each depth of field figure layer of image to be processed, and image processing effect is preferable；
Also, the technical solution realization of the embodiment of the present invention is simple and convenient, and convenient for universal, the scope of application is wider.
Fig. 6 is the first composed structure schematic diagram of mobile terminal in the embodiment of the present invention.As shown in fig. 6, described mobile whole
End includes: acquiring unit 601, determination unit 602 and processing unit 603；Wherein,
The acquiring unit 601, it is corresponding N number of for obtaining image to be processed by the first camera and second camera
Depth of field figure layer；Wherein, N is the natural number more than or equal to 2；
The determination unit 602, for determining the corresponding target light exposure amount of each depth of field figure layer；Wherein, at least two scape
The corresponding target adjustment amount of deep figure layer is different；
The processing unit 603, for being handled according to each target adjustment amount corresponding depth of field figure layer.
Fig. 7 is the second composed structure schematic diagram of mobile terminal in the embodiment of the present invention.As shown in fig. 7, described determining single
Member 602 comprises determining that subelement 6021, setting subelement 6022 and obtains subelement 6023；Wherein,
The determining subelement 6021, for determining the corresponding reference exposure amount of each depth of field figure layer；
The setting subelement 6022, for the corresponding factor of each depth of field figure layer to be arranged；
The acquisition subelement 6023, for being obtained according to the corresponding reference exposure amount of each depth of field figure layer and factor
The corresponding target light exposure amount of each depth of field figure layer.
Further, the determining subelement 6021 is specifically used for obtaining the corresponding object brightness ginseng of each depth of field figure layer
Number；According to the corresponding relationship of the object brightness parameter and reference exposure amount that pre-save, it is corresponding to search each object brightness parameter
Reference exposure amount.
Further, the setting subelement 6022, specifically for N number of depth of field figure layer is divided into M group depth of field figure layer；Its
In, M is the natural number more than or equal to 2；Obtain the corresponding exposure index to be processed；It sets according to the exposure index and in advance
The corresponding factor of each depth of field figure layer in M group depth of field figure layer is arranged in the exposure index threshold value set.
Further, the setting subelement 6023, specifically for according to the flat of the image to be processed pre-saved
Equal brightness and the corresponding reference exposure amount of each depth of field figure layer determine the depth of field boundary layer in N number of depth of field figure layer；According to the scape
N number of depth of field figure layer is divided into first kind depth of field figure layer and the second class depth of field figure layer by deep boundary layer；By whole first kind depth maps
Layer and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q is the natural number and P and Q more than or equal to 1
The sum of be M.
In practical applications, the acquiring unit 601, determination unit 602, processing unit 603 can be by mobile terminals
Central processing unit (CPU), microprocessor (MPU), digital signal processor (DSP) or the field programmable gate array in portion
(FPGA) etc. it realizes.
In addition, each unit in the present embodiment can physically exist alone, it can also be with two or more units
It is integrated in one unit.Above-mentioned integrated unit both can take the form of hardware realization, can also use software function mould
The form of block is realized.
If the integrated unit realizes that being not intended as independent product is sold in the form of software function module
Or in use, can store in a mobile terminal read/write memory medium, based on this understanding, the technology of the present embodiment
Substantially all or part of the part that contributes to existing technology or the technical solution can be with software in other words for scheme
The form of product embodies, which is stored in a storage medium, including some instructions are to make
Obtain a mobile terminal device (can be individual mobile terminal, server or the network equipment etc.) or processor (processing
Device) execute the present embodiment the method all or part of the steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, only
Read memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk
Or the various media that can store program code such as CD.
Specifically, the corresponding program of mobile terminal instruction of one of the present embodiment image processing method can be stored
In CD, hard disk, on the storage mediums such as USB flash disk, when the mobile terminal journey corresponding with a kind of image processing method in storage medium
Sequence instruction is read or is performed by an electronic equipment, includes the following steps:
The corresponding N number of depth of field figure layer of image to be processed is obtained by the first camera and second camera；Wherein, N is big
In the natural number for being equal to 2；
Determine the corresponding target light exposure amount of each depth of field figure layer；Wherein, the corresponding target light exposure of at least two depth of field figure layers
Amount is different；
Corresponding depth of field figure layer is handled according to each target light exposure amount.
The mobile terminal that the embodiment of the present invention proposes obtains figure to be processed by the first camera and second camera first
As corresponding N number of depth of field figure layer, the corresponding target light exposure amount of each depth of field figure layer is then determined, finally according to each target light exposure
Amount handles corresponding depth of field figure layer.That is, mobile terminal can in the mobile terminal of the embodiment of the present invention
Different exposure-processeds is carried out with each depth of field figure layer to image.And in the prior art, mobile terminal is to each of image
Depth of field figure layer carries out identical exposure-processed.Therefore, compared to the prior art, the mobile terminal that the embodiment of the present invention proposes, needle
Each depth of field figure layer corresponding to image to be processed uses different exposure-processeds, and image processing effect is preferable；Also, the present invention
The technical solution realization of embodiment is simple and convenient, and convenient for universal, the scope of application is wider.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the present invention
Formula.Moreover, the present invention, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (10)
1. a kind of image processing method, which is characterized in that the described method includes:
The corresponding N number of depth of field figure layer of image to be processed is obtained by the first camera and second camera；Wherein, N be greater than etc.
In 2 natural number；
Determine the corresponding target light exposure amount of each depth of field figure layer；Wherein, the corresponding target light exposure amount of at least two depth of field figure layers is
It is different；
Corresponding depth of field figure layer is handled according to each target light exposure amount.
2. the method according to claim 1, wherein the corresponding target light exposure of each depth of field figure layer of the determination
Amount, comprising:
Determine the corresponding reference exposure amount of each depth of field figure layer；
The corresponding factor of each depth of field figure layer is set；
The corresponding target light exposure of each depth of field figure layer is obtained according to the corresponding reference exposure amount of each depth of field figure layer and factor
Amount.
3. according to the method described in claim 2, it is characterized in that, the corresponding reference exposure of each depth of field figure layer of the determination
Amount, comprising:
Obtain the corresponding object brightness parameter of each depth of field figure layer；
According to the corresponding relationship of the object brightness parameter and reference exposure amount that pre-save, it is corresponding to search each object brightness parameter
Reference exposure amount.
4. according to the method described in claim 2, it is characterized in that, the corresponding factor of each depth of field figure layer of the setting,
Include:
N number of depth of field figure layer is divided into M group depth of field figure layer；Wherein, M is the natural number more than or equal to 2；
Obtain the corresponding exposure index of the image to be processed；
According to the exposure index and pre-set exposure index threshold value, each depth of field figure layer pair in M group depth of field figure layer is set
The factor answered.
5. according to the method described in claim 4, it is characterized in that, described be divided into M group depth of field figure layer for N number of depth of field figure layer,
Include:
N is determined according to the average brightness of the image to be processed pre-saved and the corresponding reference exposure amount of each depth of field figure layer
Depth of field boundary layer in a depth of field figure layer；
N number of depth of field figure layer is divided into first kind depth of field figure layer and the second class depth of field figure layer according to the depth of field boundary layer；
Whole first kind depth of field figure layers and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q are
Natural number and the sum of P and Q more than or equal to 1 are M.
6. a kind of mobile terminal, which is characterized in that the mobile terminal includes: acquiring unit, determination unit and processing unit；Its
In,
The acquiring unit, for obtaining the corresponding N number of depth map of image to be processed by the first camera and second camera
Layer；Wherein, N is the natural number more than or equal to 2；
The determination unit, for determining the corresponding target light exposure amount of each depth of field figure layer；Wherein, at least two depth of field figure layer pair
The target adjustment amount answered is different；
The processing unit, for being handled according to each target adjustment amount corresponding depth of field figure layer.
7. mobile terminal according to claim 6, which is characterized in that the determination unit comprises determining that subelement, setting
Subelement and acquisition subelement；Wherein,
The determining subelement, for determining the corresponding reference exposure amount of each depth of field figure layer；
The setting subelement, for the corresponding factor of each depth of field figure layer to be arranged；
The acquisition subelement, for obtaining each depth of field according to the corresponding reference exposure amount of each depth of field figure layer and factor
The corresponding target light exposure amount of figure layer.
8. mobile terminal according to claim 7, which is characterized in that the determining subelement is specifically used for obtaining each
The corresponding object brightness parameter of depth of field figure layer；According to the corresponding relationship of the object brightness parameter and reference exposure amount that pre-save,
Search the corresponding reference exposure amount of each object brightness parameter.
9. mobile terminal according to claim 7, which is characterized in that the setting subelement is specifically used for N number of depth of field
Figure layer is divided into M group depth of field figure layer；Wherein, M is the natural number more than or equal to 2；Obtain the corresponding exposure index to be processed；
According to the exposure index and pre-set exposure index threshold value, it is corresponding that each depth of field figure layer in M group depth of field figure layer is set
Factor.
10. mobile terminal according to claim 9, which is characterized in that the setting subelement is specifically used for according in advance
The average brightness and the corresponding reference exposure amount of each depth of field figure layer of the image to be processed saved determine in N number of depth of field figure layer
Depth of field boundary layer；N number of depth of field figure layer is divided into first kind depth of field figure layer and the second class depth of field according to the depth of field boundary layer
Figure layer；Whole first kind depth of field figure layers and whole second class depth of field figure layers are respectively divided into P group and Q group；Wherein, P and Q are
Natural number and the sum of P and Q more than or equal to 1 are M.
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