CN106997595A - Color of image processing method, processing unit and electronic installation based on the depth of field - Google Patents
Color of image processing method, processing unit and electronic installation based on the depth of field Download PDFInfo
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- CN106997595A CN106997595A CN201710138670.3A CN201710138670A CN106997595A CN 106997595 A CN106997595 A CN 106997595A CN 201710138670 A CN201710138670 A CN 201710138670A CN 106997595 A CN106997595 A CN 106997595A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Abstract
The invention discloses a kind of color of image processing method based on the depth of field.Color of image processing method includes：Contextual data is handled to obtain the depth information of scene master image；The foreground part of scene master image is determined according to depth information；With processing scene master image to lift the color saturation of foreground part.In addition, the invention also discloses a kind of color of image processing unit and electronic installation.Color of image processing method, processing unit and the electronic installation of the present invention determines the foreground part of image according to depth information, by handling image to lift the color saturation of foreground part, so as to obtain the adjustment image of foreground part protrusion.
Description
Technical field
The present invention relates to imaging technique, more particularly to a kind of color of image processing method based on the depth of field, processing unit and
Electronic installation.
Background technology
Existing imaging device is not deep enough for the color treatments of image, causes the main body of image not protrude, so that
Obtain Consumer's Experience not good.
The content of the invention
It is contemplated that at least solving one of technical problem present in prior art.Therefore, the present invention needs offer one
Plant color of image processing method, processing unit and electronic installation based on the depth of field.
A kind of color of image processing method based on the depth of field, the contextual data for handling imaging device collection, the field
Scape data include scene master image, and described image color processing method comprises the following steps：
The contextual data is handled to obtain the depth information of the scene master image；
The foreground part of the scene master image is determined according to the depth information；With
The scene master image is handled to lift the color saturation of the foreground part.
A kind of color of image processing unit based on the depth of field, the contextual data for handling imaging device collection, the field
Scape data include scene master image, and described image color processing apparatus includes first processing module, the first determining module and second
Processing module.
The first processing module is used to handle the contextual data to obtain the depth information of the scene master image.
First determining module is used for the foreground part that the scene master image is determined according to the depth information.
The Second processing module is used to handle the scene master image to lift the color saturation of the foreground part.
A kind of electronic installation includes imaging device and described image color processing apparatus.
Color of image processing method, processing unit and the electronic installation of the present invention determines the prospect of image according to depth information
Part, by handling image to lift the color saturation of foreground part, so as to obtain the adjustment image of foreground part protrusion.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become from description of the accompanying drawings below to embodiment is combined
Obtain substantially and be readily appreciated that, wherein：
Fig. 1 is the schematic flow sheet of the color of image processing method of embodiment of the present invention.
Fig. 2 is the floor map of the electronic installation of embodiment of the present invention.
Fig. 3 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Fig. 4 is the high-level schematic functional block diagram of the first processing module of some embodiments of the invention.
Fig. 5 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Fig. 6 is another high-level schematic functional block diagram of the first processing module of some embodiments of the invention.
Fig. 7 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Fig. 8 is the high-level schematic functional block diagram of the first determining module of some embodiments of the invention.
Fig. 9 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Figure 10 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Figure 11 is the high-level schematic functional block diagram of the Second processing module of some embodiments of the invention.
Figure 12 is the schematic flow sheet of the color of image processing method of some embodiments of the invention.
Figure 13 is the high-level schematic functional block diagram of the color of image processing unit of some embodiments of the invention.
Main element symbol description：
Electronic installation 100, color of image processing unit 10, first processing module 11, at first processing units 112, second
Manage unit 114, the 3rd processing unit 116, fourth processing unit 118, the first determining module 13, the 5th processing unit 132, searching
Unit 134, Second processing module 15, the 6th processing unit 152, the 7th processing unit 154, at the second determining module the 17, the 3rd
Manage module 19, imaging device 20.
Embodiment
Embodiments of the present invention are described below in detail, the embodiment of the embodiment is shown in the drawings, wherein
Same or similar label represents same or similar element or the element with same or like function from beginning to end.Lead to below
It is exemplary to cross the embodiment being described with reference to the drawings, and is only used for explaining the present invention, and it is not intended that to the limit of the present invention
System.
Also referring to Fig. 1 and Fig. 2, the color of image processing method based on the depth of field of embodiment of the present invention can be used for
Handle the contextual data that imaging device 20 is gathered.Contextual data includes scene master image.Color of image processing method includes following
Step：
S11：Contextual data is handled to obtain the depth information of scene master image；
S13：The foreground part of scene master image is determined according to depth information；With
S15：Scene master image is handled to lift the color saturation of foreground part.
Referring to Fig. 2, the color of image processing unit 10 of embodiment of the present invention can be used for handling imaging device
The contextual data of 20 collections.Contextual data includes scene master image.Color of image processing unit 10 include first processing module 11,
First determining module 13 and Second processing module 15.First processing module 11 is used to handle contextual data to obtain scene master image
Depth information.First determining module 13 is used for the foreground part that scene master image is determined according to depth information.Second processing mould
Block 15 is used to handle scene master image to lift the color saturation of foreground part.
In other words, the color of image processing method of embodiment of the present invention can by embodiment of the present invention image face
Color processing unit 10 realizes, wherein, step S11 can be realized by first processing module 11, and step S13 can determine mould by first
Block 13 realizes that step S15 can be realized by Second processing module 15.
In some embodiments, the color of image processing unit 10 of embodiment of the present invention can apply to of the invention real
The electronic installation 100 of mode is applied, the electronic installation 100 of embodiment of the present invention can include embodiment of the present invention in other words
Color of image processing unit 10.In addition, the electronic installation 100 of embodiment of the present invention also includes imaging device 20, imaging device
20 and color of image processing unit 10 electrically connect.
Color of image processing method, processing unit 10 and the electronic installation 100 of embodiment of the present invention are according to depth information
The foreground part of image is determined, by handling image to lift the color saturation of foreground part, is dashed forward so as to obtain foreground part
The adjustment image gone out.
In some embodiments, electronic installation 100 includes mobile phone or tablet personal computer.In embodiments of the present invention, it is electric
Sub-device 100 is mobile phone.
In some embodiments, imaging device 20 includes Front camera and/or rearmounted camera, does not do any limit herein
System.In embodiments of the present invention, imaging device 20 is Front camera.
Referring to Fig. 3, in some embodiments, contextual data includes depth image corresponding with scene master image, step
Rapid S11 comprises the following steps：
S112：Depth image is handled to obtain the depth data of scene master image；With
S114：Depth data is handled to obtain depth information.
Referring to Fig. 4, in some embodiments, contextual data includes depth image corresponding with scene master image, the
One processing module 11 includes first processing units 112 and second processing unit 114.First processing units 112 are used to handle depth
Image is to obtain the depth data of scene master image.Second processing unit 114 is used to handle depth data to obtain depth information.
In other words, step S112 can be realized by first processing units 112, and step S114 can be by second processing unit
114 realize.
So, it is possible to use depth image quickly obtains the depth information of scene master image.
It is appreciated that caching master image is RGB color image, in scene each personal or thing relative to imaging device 20 away from
From can be characterized with depth image, each pixel value in depth image that is to say depth data represent in scene certain point with
The distance of imaging device 20, the depth data of the point of people or thing in composition scene is the depth that would know that corresponding people or thing
Spend information.Because the color information of scene master image and the depth information of depth image are one-to-one relations, therefore, it can obtain
Obtain the depth information of scene master image.
In some embodiments, the acquisition modes of depth image corresponding with scene master image include using structure optical depth
Ranging is spent to obtain depth image and obtain depth image two using flight time (time of flight, TOF) depth camera
The mode of kind.
When obtaining depth image using structure light Range finder, imaging device 20 includes camera and the projector.
It is appreciated that structure light Range finder is that the photo structure of certain pattern is projeced into body surface using the projector,
The striation 3-D view modulated by testee shape is formed on surface.Striation 3-D view is detected to obtain by camera
Striation two dimension fault image.Relative position and body surface shape that the distortion degree of striation is depended between the projector and camera
Wide or height.The displacement shown along striation is proportional to the height of body surface, and kink illustrates the change of plane, discontinuously
The physical clearance of display surface.When the timing of relative position one between the projector and camera, by the two-dimentional optical strip image distorted
The three-D profile of coordinate just reproducible body surface, so as to obtain depth information.Structure light Range finder has higher
Resolution ratio and measurement accuracy.
When obtaining depth image using TOF depth cameras, imaging device 20 includes TOF depth cameras.
It is appreciated that the modulation infrared light emission that is sent by sensor record from luminescence unit of TOF depth cameras to
Object, then the phase place change reflected from object, according to the light velocity in the range of a wavelength, can obtain whole in real time
Scene depth distance.TOF depth cameras are not influenceed when calculating depth information by the gray scale and feature on object surface, and can
Rapidly to calculate depth information, with very high real-time.
Referring to Fig. 5, in some embodiments, contextual data includes scene sub-picture corresponding with scene master image,
Step S11 comprises the following steps：
S116：Scene master image and scene sub-picture is handled to obtain the depth data of scene master image；With
S118：Depth data is handled to obtain depth information.
Referring to Fig. 6, in some embodiments, contextual data includes scene sub-picture corresponding with scene master image,
First processing module 11 includes the 3rd processing unit 116 and fourth processing unit 118.3rd processing unit 116 is used for Treatment stations
Scape master image and scene sub-picture are to obtain the depth data of scene master image.Fourth processing unit 118 is used to handle depth number
Depth information is obtained according to this.
In other words, step S116 can be realized that step S118 can be by fourth processing unit by the 3rd processing unit 116
118 realize.
In this way, the depth information of scene master image can be obtained by handling scene master image and scene sub-picture.
In some embodiments, imaging device 20 includes main camera and secondary camera.
It is appreciated that depth information can be obtained by binocular stereo vision distance-finding method, now contextual data bag
Include scene master image and scene sub-picture.Wherein, scene master image is shot by main camera and obtained, and scene sub-picture is imaged by pair
Head shoots and obtained.Binocular stereo vision ranging is that same object is imaged from different positions with two identical cameras
To obtain the stereo pairs of object, then go out by algorithmic match the corresponding picture point of stereo pairs, so that parallax is calculated,
Depth information is finally recovered using the method based on triangulation.In this way, by scene master image and scene sub-picture this
Stereo pairs, which are matched, just can obtain the depth information of scene master image.
Referring to Fig. 7, in some embodiments, step S13 comprises the following steps：
S132：The First Point of scene master image is obtained according to depth information；With
S134：The region found with First Point adjoining and depth consecutive variations is used as foreground part.
Referring to Fig. 8, in some embodiments, the first determining module 13 includes the 5th processing unit 132 and finds single
Member 134.5th processing unit 132 is used for the First Point that scene master image is obtained according to depth information.Finding unit 134 is used to seek
The region with First Point adjoining and depth consecutive variations is looked for as foreground part.
In other words, step S132 can be realized by the 5th processing unit 132, and step S134 can be by searching unit 134
Realize.
In this way, the foreground part of scene master image physical link can be obtained.In reality scene, usual foreground part is
Link together.Using the foreground part of physical link as main body, the relation of foreground part can be intuitively obtained.
Specifically, the First Point of scene master image is first obtained according to depth information, First Point is opened equivalent to foreground part
End, is diffused from First Point, obtains the region with First Point adjoining and depth consecutive variations, these regions and First Point are returned
And be foreground area.
It should be noted that First Point refer to the minimum corresponding pixel of object of depth, i.e. object distance it is minimum or from
The corresponding pixel of the nearest object of imaging device 20.Adjoining refers to that two pixels link together.Depth consecutive variations are
The depth difference for referring to two adjacent pixels is less than predetermined difference value, and the difference of depth is less than two adjoinings of predetermined difference value in other words
Pixel depth consecutive variations.
Referring to Fig. 9, in some embodiments, step S13 may comprise steps of：
S136：The First Point of scene master image is obtained according to depth information；With
S138：The region that the difference of the depth of searching and First Point is less than predetermined threshold is used as foreground part.
In this way, the foreground part of scene master image logical communication link can be obtained.In reality scene, foreground part may not have
Link together, but meet certain logical relation, such as eagle, which dives, grabs the scene of chicken, eagle and chicken physics
On may not link together, but logically, it can be determined that they are connected.
Specifically, the First Point of scene master image is first obtained according to depth information, First Point is opened equivalent to foreground part
End, is diffused from First Point, and the difference of the depth of acquisition and First Point is less than the region of predetermined threshold, these regions and First Point
Merger is foreground area.
In some embodiments, predetermined threshold can be the value set by user.In this way, user can be according to itself
Demand determine the scope of foreground part, so as to obtain preferable composition suggestion, realize preferable composition.
In some embodiments, predetermined threshold can be the value that color of image processing unit 10 is determined, herein not
Do any limitation.The predetermined threshold that color of image processing unit 10 is determined can be a fixed value of storage inside, can also
It is the numerical value calculated according to different situations, such as depth of First Point.
In some embodiments, step S13 may comprise steps of：
Find region of the depth in predetermined interval and be used as foreground part.
It is background parts to determine region of the scene master image in addition to foreground part.
In this way, the foreground part that depth is in OK range can be obtained.
It is appreciated that in the case of some shootings, foreground part is not the part of foremost, but foremost part is somewhat
Part more rearward, for example, people is sitting in behind computer, computer is earlier, but the talent is main part, so by depth
Region in predetermined interval can be effectively prevented from the incorrect problem of main body'choice as foreground part.
Referring to Fig. 10, in some embodiments, step S15 comprises the following steps：
S152：Scene master image is handled to recognize the main col of foreground part；With
S154：Improve the saturation degree of main col.
Figure 11 is referred to, in some embodiments, Second processing module 15 is included at the 6th processing unit 152 and the 7th
Manage unit 154.6th processing unit 152 is used to handle scene master image to recognize the main col of foreground part.7th processing
Unit 154 is used for the saturation degree for improving main col.
In other words, step S152 can be realized by the 6th processing unit 152, and step S154 can be by the 7th processing unit
154 realize.
In this way, the color saturation of foreground part can fast and effeciently be improved, so that foreground part, i.e. main part
Divide protrusion.
Specifically, main col refers to the maximum color of Color Channel accounting in RGB image.Such as red channel is at some
Accounting in three Color Channels of red, green, blue of pixel is maximum, then red is exactly main col, can be red logical by strengthening
The color saturation in road strengthens the visual effect of foreground part.The method of lifting main col saturation degree can be that increase is main
The accounting of color.
Figure 12 is referred to, in some embodiments, color of image processing method comprises the following steps：
S17：Determine background parts of the scene master image in addition to foreground part；With
S19：Scene master image is handled to reduce the color saturation of background parts.
Figure 13 is referred to, in some embodiments, color of image processing unit 10 includes the second determining module 17 and the
Three processing modules 19.Second determining module 17 is used to determine background parts of the scene master image in addition to foreground part.3rd processing
Module 19 is used to handle scene master image to reduce the color saturation of background parts.
In other words, step S17 can be realized that step S19 can be by the 3rd processing module 19 by the second determining module 17
Realize.
In this way, the color saturation of background parts can be reduced, foreground part, i.e. main part can be caused by contrast
It is prominent.
In the description of embodiments of the present invention, term " first ", " second " are only used for describing purpose, without being understood that
To indicate or implying relative importance or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ",
One or more feature can be expressed or be implicitly included to the feature of " second ".In embodiments of the present invention
In description, " multiple " are meant that two or more, unless otherwise specifically defined.
, it is necessary to illustrate in the description of embodiments of the present invention, unless otherwise clearly defined and limited, term
" installation ", " connected ", " connection " should be interpreted broadly, for example, it may be fixedly connected or be detachably connected, or one
Connect body；It can be mechanical connection or electrical connection or can mutually communicate；Can be joined directly together, can also lead to
Cross intermediary to be indirectly connected to, can be connection or the interaction relationship of two elements of two element internals.For ability
For the those of ordinary skill in domain, it can understand that above-mentioned term in embodiments of the present invention specific contains as the case may be
Justice.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation
The description of mode ", " example ", " specific example " or " some examples " etc. means the tool with reference to the embodiment or example description
Body characteristicses, structure, material or feature are contained at least one embodiment of the present invention or example.In this manual,
Identical embodiment or example are not necessarily referring to the schematic representation of above-mentioned term.Moreover, the specific features of description, knot
Structure, material or feature can in an appropriate manner be combined in any one or more embodiments or example.
Any process described otherwise above or method description are construed as in flow chart or herein, represent to include
Module, fragment or the portion of the code of one or more executable instructions for the step of realizing specific logical function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not be by shown or discussion suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Represent in flow charts or logic and/or step described otherwise above herein, for example, being considered use
In the order list for the executable instruction for realizing logic function, it may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system including the system of processing module or other can be from instruction
The system of execution system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or
Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any can include, store, communicating, propagating or
Transmission procedure uses for instruction execution system, device or equipment or with reference to these instruction execution systems, device or equipment
Device.The more specifically example (non-exhaustive list) of computer-readable medium includes following：With one or more wirings
Electrical connection section (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read-only storage
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, can even is that can be in the paper of printing described program thereon or other are suitable for computer-readable medium
Medium, because can then enter edlin, interpretation or if necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each several part of embodiments of the present invention can be with hardware, software, firmware or combinations thereof come real
It is existing.In the above-described embodiment, multiple steps or method can be with storages in memory and by suitable instruction execution system
The software or firmware of execution is realized.If for example, being realized with hardware, with another embodiment, ability can be used
Any one of following technology known to domain or their combination are realized：With for realizing logic function to data-signal
The discrete logic of logic gates, the application specific integrated circuit with suitable combinational logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method is carried
Rapid to can be by program to instruct the hardware of correlation to complete, described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in various embodiments of the present invention can be integrated in a processing module, also may be used
To be that unit is individually physically present, can also two or more units be integrated in a module.It is above-mentioned integrated
Module can both be realized in the form of hardware, it would however also be possible to employ the form of software function module is realized.The integrated module
If being realized using in the form of software function module and as independent production marketing or in use, a calculating can also be stored in
In machine read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..
Although embodiments of the invention have been shown and described above, it is to be understood that above-described embodiment is example
Property, it is impossible to limitation of the present invention is interpreted as, one of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changed, replacing and modification.
Claims (17)
1. a kind of color of image processing method based on the depth of field, the contextual data for handling imaging device collection, the scene
Data include scene master image, it is characterised in that described image color processing method comprises the following steps：
The contextual data is handled to obtain the depth information of the scene master image；
The foreground part of the scene master image is determined according to the depth information；With
The scene master image is handled to lift the color saturation of the foreground part.
2. color of image processing method as claimed in claim 1, it is characterised in that the contextual data includes and the scene
The step of corresponding depth image of master image, depth information of the processing contextual data to obtain the scene master image
Comprise the following steps：
The depth image is handled to obtain the depth data of the scene master image；With
The depth data is handled to obtain the depth information.
3. color of image processing method as claimed in claim 1, it is characterised in that the contextual data includes and the scene
The corresponding scene sub-picture of master image, the processing contextual data is to obtain the step of the depth information of the scene master image
Suddenly comprise the following steps：
The scene master image and the scene sub-picture is handled to obtain the depth data of the scene master image；With
The depth data is handled to obtain the depth information.
4. color of image processing method as claimed in claim 1, it is characterised in that described that institute is determined according to the depth information
The step of foreground part for stating scene master image, comprises the following steps：
The First Point of the scene master image is obtained according to the depth information；With
The region found with First Point adjoining and depth consecutive variations is used as the foreground part.
5. color of image processing method as claimed in claim 1, it is characterised in that the processing scene master image is to carry
The step of color saturation for rising the foreground part, comprises the following steps：
The scene master image is handled to recognize the main col of the foreground part；With
Improve the saturation degree of the main col.
6. color of image processing method as claimed in claim 1, it is characterised in that described image color processing method include with
Lower step：
Determine background parts of the scene master image in addition to the foreground part；With
The scene master image is handled to reduce the color saturation of the background parts.
7. a kind of color of image processing unit based on the depth of field, the contextual data for handling imaging device collection, the scene
Data include scene master image, it is characterised in that described image color processing apparatus includes：
First processing module, the first processing module is used to handle the contextual data to obtain the depth of the scene master image
Spend information；
First determining module, first determining module is used for the prospect that the scene master image is determined according to the depth information
Part；With
Second processing module, the Second processing module is used to handle the scene master image to lift the color of the foreground part
Color saturation degree.
8. color of image processing unit as claimed in claim 7, it is characterised in that the contextual data includes and the scene
The corresponding depth image of master image, the first processing module includes：
First processing units, the first processing units are used to handle the depth image to obtain the depth of the scene master image
Degrees of data；With
Second processing unit, the second processing unit is used to handle the depth data to obtain the depth information.
9. color of image processing unit as claimed in claim 7, it is characterised in that the contextual data includes and the scene
The corresponding scene sub-picture of master image, the first processing module includes：
3rd processing unit, the 3rd processing unit is used to handle the scene master image and the scene sub-picture to obtain
The depth data of the scene master image；With
Fourth processing unit, the fourth processing unit is used to handle the depth data to obtain the depth information.
10. color of image processing unit as claimed in claim 7, it is characterised in that first determining module includes：
5th processing unit, the 5th processing unit be used for according to the depth information obtain the scene master image most before
Point；With
Unit is found, the searching unit is used to find the region with First Point adjoining and depth consecutive variations as described
Foreground part.
11. color of image processing unit as claimed in claim 7, it is characterised in that the Second processing module includes：
6th processing unit, the 6th processing unit is used to handle the scene master image to recognize the master of the foreground part
Want color；With
7th processing unit, the 7th processing unit is used for the saturation degree for improving the main col.
12. color of image processing unit as claimed in claim 7, it is characterised in that described image color processing apparatus includes：
Second determining module, second determining module is used to determine background of the scene master image in addition to the foreground part
Part；With
3rd processing module, the 3rd processing module is used to handle the scene master image to reduce the color of the background parts
Color saturation degree.
13. a kind of electronic installation, it is characterised in that including：
Imaging device；With
Color of image processing unit as described in claim 7 to 12 any one.
14. electronic installation as claimed in claim 13, it is characterised in that the electronic installation includes mobile phone or tablet personal computer.
15. electronic installation as claimed in claim 13, it is characterised in that the imaging device includes main camera and secondary shooting
Head.
16. electronic installation as claimed in claim 13, it is characterised in that the imaging device includes camera and the projector.
17. electronic installation as claimed in claim 13, it is characterised in that the imaging device includes TOF depth cameras.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109816663A (en) * | 2018-10-15 | 2019-05-28 | 华为技术有限公司 | A kind of image processing method, device and equipment |
| WO2021098518A1 (en) * | 2019-11-18 | 2021-05-27 | RealMe重庆移动通信有限公司 | Image adjustment method and apparatus, electronic device, and storage medium |
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| CN113112505A (en) * | 2018-10-15 | 2021-07-13 | 华为技术有限公司 | Image processing method, device and equipment |
| CN113112505B (en) * | 2018-10-15 | 2022-04-29 | 华为技术有限公司 | Image processing method, device and equipment |
| WO2021098518A1 (en) * | 2019-11-18 | 2021-05-27 | RealMe重庆移动通信有限公司 | Image adjustment method and apparatus, electronic device, and storage medium |
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