CN113900748A - Image processing method and device and computer readable storage medium - Google Patents
Image processing method and device and computer readable storage medium Download PDFInfo
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- CN113900748A CN113900748A CN202111086442.9A CN202111086442A CN113900748A CN 113900748 A CN113900748 A CN 113900748A CN 202111086442 A CN202111086442 A CN 202111086442A CN 113900748 A CN113900748 A CN 113900748A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
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Abstract
The application discloses an image processing method, an image processing device and a computer readable storage medium, which are used for improving the image processing efficiency. The method comprises the following steps: determining a processing mode of a target image; determining at least one target algorithm required to be used from an algorithm library according to the processing mode; generating a parameter adjustment page according to the at least one target algorithm, wherein the parameter adjustment page comprises controls, and one target algorithm corresponds to at least one control; displaying the parameter adjustment page; receiving an operation instruction of a user to each control in the parameter adjusting page; and modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an image processing method and apparatus, and a computer-readable storage medium.
Background
Image processing, using a computer to analyze the image to achieve a desired result. Also known as image processing. Common methods of image processing include image transformation, image coding compression, image enhancement and restoration, image segmentation, image description, image classification (recognition), and the like.
In the prior art, when an image is processed, a plurality of operations are often required to be executed, one operation corresponds to one operation algorithm, and the image is processed by executing the plurality of operation algorithms.
However, the adjustable parameters in the operation algorithm often need to be adjusted, and the operation algorithm needs to be modified at a code level each time the adjustable parameters of the operation algorithm need to be modified, so that in order to modify some adjustable parameters, a user needs to spend a lot of time on modifying the codes of the operation algorithm, and the image processing efficiency is reduced.
Disclosure of Invention
The application provides an image processing method, an image processing device and a computer readable storage medium, which can improve the image processing efficiency.
A first aspect of the present application provides a method of image processing, comprising:
determining a processing mode of a target image;
determining at least one target algorithm required to be used from an algorithm library according to the processing mode;
generating a parameter adjustment page according to the at least one target algorithm, wherein the parameter adjustment page comprises controls, and one target algorithm corresponds to at least one control;
displaying the parameter adjustment page;
receiving an operation instruction of a user to each control in the parameter adjusting page;
and modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
Optionally, the generating a parameter adjustment page according to the at least one target algorithm includes:
sequentially acquiring adjustable parameter name-control type pairs included by each target algorithm in the at least one target algorithm, wherein each target algorithm comprises at least one adjustable parameter name-control type pair;
generating corresponding controls according to adjustable parameter name-control type pairs included by each target algorithm;
and generating a parameter adjusting page according to the generated control.
Optionally, after determining at least one target algorithm to be used from an algorithm library according to the processing manner, the method further includes:
determining a cascade relationship between each target algorithm of the at least one target algorithm.
Optionally, after modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction, the method further includes:
and sequentially executing the operation of each target algorithm on the target image according to the cascade relation.
Optionally, the method further includes:
creating a new algorithm and setting an adjustable parameter name-control type pair of the new algorithm;
adding the new algorithm to the algorithm library.
A second aspect of the present application provides an apparatus for image processing, comprising:
a first determination unit for determining a processing mode of the target image;
the second determining unit is used for determining at least one target algorithm required to be used from the algorithm library according to the processing mode;
the generating unit is used for generating a parameter adjusting page according to the at least one target algorithm, the parameter adjusting page comprises controls, and one target algorithm corresponds to the at least one control;
the display unit is used for displaying the parameter adjustment page;
the receiving unit is used for receiving an operation instruction of a user to each control in the parameter adjusting page;
and the modifying unit is used for modifying the adjustable parameter value of the corresponding target algorithm according to the operating instruction.
Optionally, the generating unit is specifically configured to:
sequentially acquiring adjustable parameter name-control type pairs included by each target algorithm in the at least one target algorithm, wherein each target algorithm comprises at least one adjustable parameter name-control type pair;
generating corresponding controls according to adjustable parameter name-control type pairs included by each target algorithm;
and generating a parameter adjusting page according to the generated control.
Optionally, the apparatus further comprises:
and the third determining unit is used for determining the cascade relation among the target algorithms in the at least one target algorithm.
Optionally, the apparatus further comprises:
and the execution unit is used for sequentially executing the operation of each target algorithm on the target image according to the cascade relation.
Optionally, the apparatus further comprises:
the system comprises a creating unit, a parameter setting unit and a parameter setting unit, wherein the creating unit is used for creating a new algorithm and setting an adjustable parameter name-control type pair of the new algorithm;
and the adding unit is used for adding the new algorithm into the algorithm library.
A third aspect of the present application provides an apparatus for image processing, comprising:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory stores a program, and the processor executes the program to perform the method according to the first aspect and any one of the possible embodiments of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having a program stored thereon, where the program is to make a computer perform the method of the first aspect and any one of the possible implementation manners of the first aspect when the program is executed on the computer.
According to the technical scheme, the method has the following advantages:
the method comprises the steps of firstly determining a processing mode of a target image, then determining at least one target algorithm to be used from an algorithm library according to the processing mode, and then generating a parameter adjustment page according to the at least one target algorithm, wherein the parameter adjustment page comprises at least one control, the control is generated according to the at least one target algorithm, then displaying the parameter adjustment page, and after receiving an operation instruction of a user on each control in the parameter adjustment page, modifying adjustable parameters of the target algorithm corresponding to each control according to the operation instruction. The user only needs to adjust the control of the parameter adjustment page, so that the adjustable parameters in each target algorithm can be correspondingly adjusted, the process of adjusting the adjustable parameters by the user is simplified, and the image processing efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a method for image processing according to the present application;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of a method for image processing according to the present application;
FIG. 3 is a schematic diagram of an embodiment of an apparatus for image processing according to the present application;
FIG. 4 is a schematic diagram of another embodiment of an apparatus for image processing according to the present application;
fig. 5 is a schematic structural diagram of another embodiment of the image processing apparatus in the present application.
Detailed Description
The application provides an image processing method, an image processing device and a computer readable storage medium, which are used for improving the image processing efficiency.
The method of the present application may be applied to a server, a terminal, or other devices with logic processing capability, and the present application is not limited thereto. For convenience of description, the following description will be given taking the execution body as an example.
Embodiments in the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of an image processing method in the present application includes:
101. the terminal determines the processing mode of the target image.
In practical applications, before processing a target image, a processing mode of the target image needs to be determined, so that a terminal needs to determine the processing mode of the target image, and the processing mode includes noise elimination, noise increase, restoration, enhancement and the like. Each processing means is associated with an algorithm required to execute the processing means.
102. And the terminal determines at least one target algorithm required to be used from the algorithm library according to the processing mode.
Since each processing method is associated with an algorithm required for executing the processing method, after the processing method for the target image is determined, the terminal can determine at least one target algorithm required to be used from the algorithm library according to the processing method to execute the processing method.
103. And the terminal generates a parameter adjustment page according to at least one target algorithm.
When the terminal determines at least one target algorithm to be used, a parameter adjustment page can be generated according to the at least one target algorithm, wherein the parameter adjustment page comprises at least one control, each target algorithm corresponds to at least one control, and each control corresponds to one target algorithm. The control comprises a drop-down box and a slider. Each option of the drop-down box represents an adjustable parameter value, and the left end and the right end of the sliding bar respectively represent the upper limit and the lower limit of the adjustable parameter value.
104. And the terminal displays a parameter adjusting page.
After the parameter adjustment page is generated, the terminal can display the parameter adjustment page so as to facilitate the user to operate the control in the parameter adjustment page.
105. And the terminal receives an operation instruction of the user on each control in the parameter adjustment page.
After the terminal displays the parameter adjustment page, the user may operate each control on the parameter adjustment page, including selecting an option of a drop-down box control, changing the position of a slider in a slider control, and so on. And the terminal can receive the operation instructions after the operation of the user.
106. And the terminal modifies the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
After receiving the operation instruction, the terminal may determine the adjusted values of the controls according to the operation instruction, and then modify the adjustable parameter values of the corresponding target algorithm according to the values.
In this embodiment, the terminal first needs to determine a processing mode for a target image, then determines at least one target algorithm to be used from an algorithm library according to the processing mode, and then generates a parameter adjustment page according to the at least one target algorithm, where the parameter adjustment page includes at least one control, the control is generated according to the at least one target algorithm, then displays the parameter adjustment page, and after receiving an operation instruction of a user on each control at the parameter adjustment page, modifies an adjustable parameter of the target algorithm corresponding to each control according to the operation instruction. Therefore, the user only needs to adjust the control of the parameter adjustment page, and the adjustable parameters in each target algorithm can be correspondingly adjusted, so that the process of adjusting the adjustable parameters by the user is simplified, and the image processing efficiency is improved.
Referring to fig. 2, another embodiment of the image processing method of the present application includes:
201. and the terminal creates a new algorithm and sets an adjustable parameter name-control type pair of the new algorithm.
In practical application, a user can input an instruction for creating a new algorithm to a terminal according to actual requirements, wherein the instruction comprises an adjustable parameter name-control type pair of the new algorithm, and the adjustable parameter name-control type pair represents an adjustable parameter name of the new algorithm, a control type corresponding to the adjustable parameter name and a value range of the adjustable parameter name, wherein when the control type is a drop-down box, the value range of the adjustable parameter name comprises a plurality of fixed values and is consistent with the number of options in the drop-down box; when the control type is a slider, the value range of the adjustable parameter name comprises a closed interval formed by two values. It should be noted that the number of pairs of adjustable parameter name-control types of the new algorithm is at least one. After receiving the instruction, the terminal may create a new algorithm according to the instruction and set an adjustable parameter name-control type pair of the new algorithm.
202. The terminal adds the new algorithm to the algorithm library.
The terminal can add the created new algorithm to the algorithm library and associate the new algorithm with one or more processing modes, so that the new algorithm can be called to operate when the processing mode associated with the new algorithm is executed.
In the embodiment, a method for customizing the new algorithm is reserved, so that a user can customize the new algorithm, the flexibility of image processing is improved, and the user experience is also improved.
203. The terminal determines the processing mode of the target image.
204. And the terminal determines at least one target algorithm required to be used from the algorithm library according to the processing mode.
In this embodiment, steps 203 to 204 are similar to steps 101 to 102 in the previous embodiment, and are not described again here.
205. The terminal sequentially obtains adjustable parameter name-control type pairs included by each target algorithm in at least one target algorithm.
After determining at least one target algorithm, the terminal may obtain an adjustable parameter name-control type pair of each target algorithm to obtain information of each adjustable parameter name-control type pair, including an adjustable parameter name, a control type corresponding to the adjustable parameter name, and a value range of the adjustable parameter name. It should be noted that each target algorithm includes one or more tunable parameter name-control type pairs.
206. And the terminal generates a corresponding control according to the adjustable parameter name-control type pair included by each target algorithm.
After the adjustable parameter name-control type pairs of each target algorithm are obtained, the terminal can generate the corresponding type of control according to the adjustable parameter name-control type pairs included in each target algorithm, and the adjustable parameter names and the value ranges are blended into the generated control because the adjustable parameter name-control type pairs include information of the control types.
207. And the terminal generates a parameter adjusting page according to the generated control.
After the terminal generates the control, the generated control can be added to a preset container, so that a parameter adjustment page is generated.
208. And the terminal displays a parameter adjusting page.
209. And the terminal receives an operation instruction of the user on each control in the parameter adjustment page.
210. And the terminal modifies the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
In this embodiment, steps 208 to 210 are similar to steps 104 to 106 in the previous embodiment, and are not described again here.
211. The terminal determines the cascade relation among target algorithms in at least one target algorithm.
The terminal can determine the cascade relation among the target algorithms in at least one target algorithm, namely the sequence relation executed among the target algorithms. For example, when at least one target algorithm includes A, B, C, D and E, and the determined cascade relationship between the 5 target algorithms is C-a-D-E-B, the 5 target algorithms are executed in the order of executing C first, then executing a, then executing D, then executing E, and then executing B.
212. And the terminal sequentially executes the operation of each target algorithm on the target image according to the cascade relation.
After determining the cascade relationship, the terminal may sequentially perform the operation of each target algorithm on the target image according to the cascade relationship.
In the embodiment, the terminal determines the cascade relation among the target algorithms, and can accurately control the influence on the target image when the operation of each target algorithm is executed in the process of executing the target image, thereby being beneficial to the control of the target image processing process.
The method of image processing in the present application is described above, and the apparatus of image processing in the present application is described below.
Referring to fig. 3, an embodiment of an apparatus for image processing according to the present application includes:
a first determination unit 301 configured to determine a processing manner for the target image;
a second determining unit 302, configured to determine at least one target algorithm to be used from the algorithm library according to the processing manner;
a generating unit 303, configured to generate a parameter adjustment page according to at least one target algorithm, where the parameter adjustment page includes controls, and one target algorithm corresponds to at least one control;
a display unit 304 for displaying a parameter adjustment page;
a receiving unit 305, configured to receive an operation instruction of a user on each control in a parameter adjustment page;
and the modifying unit 306 is used for modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
In this embodiment, the first determining unit 301 needs to determine a processing mode of a target image, then the second determining unit 302 determines at least one target algorithm to be used from an algorithm library according to the processing mode, the generating unit 303 generates a parameter adjustment page according to the at least one target algorithm, where the parameter adjustment page includes at least one control, the control is generated according to the at least one target algorithm, then the displaying unit 304 displays the parameter adjustment page, and after the receiving unit 305 receives an operation instruction of a user on each control in the parameter adjustment page, the modifying unit 306 modifies an adjustable parameter of a target algorithm corresponding to each control according to the operation instruction. Therefore, the user only needs to adjust the control of the parameter adjustment page, and the adjustable parameters in each target algorithm can be correspondingly adjusted, so that the process of adjusting the adjustable parameters by the user is simplified, and the image processing efficiency is improved.
Referring to fig. 4, an image processing apparatus according to another embodiment of the present application includes:
a first determination unit 401 configured to determine a processing manner of a target image;
a second determining unit 402, configured to determine at least one target algorithm to be used from the algorithm library according to the processing manner;
a generating unit 403, configured to generate a parameter adjustment page according to at least one target algorithm, where the parameter adjustment page includes controls, and one target algorithm corresponds to at least one control;
a display unit 404 for displaying a parameter adjustment page;
a receiving unit 405, configured to receive an operation instruction of a user on each control in a parameter adjustment page;
and a modifying unit 406, configured to modify the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
In this embodiment, the generating unit 403 is specifically configured to:
sequentially acquiring adjustable parameter name-control type pairs included by each target algorithm in at least one target algorithm, wherein each target algorithm comprises at least one adjustable parameter name-control type pair;
generating corresponding controls according to adjustable parameter name-control type pairs included by each target algorithm;
and generating a parameter adjusting page according to the generated control.
In this embodiment, the apparatus for image processing may further include a third determining unit 407, an executing unit 408, a creating unit 409, and an adding unit 410.
A third determining unit 407, configured to determine a cascade relationship between target algorithms in the at least one target algorithm.
And the execution unit 408 is configured to sequentially execute the operations of the target algorithms on the target image according to the cascade relationship.
A creating unit 409 for creating a new algorithm and setting an adjustable parameter name-control type pair of the new algorithm;
an adding unit 410 for adding the new algorithm to the algorithm library.
In this embodiment, the functions of the units correspond to the steps in the embodiment shown in fig. 2, and are not described herein again.
Referring to fig. 5, an image processing apparatus according to another embodiment of the present application includes:
a processor 501, a memory 502, an input-output unit 503, and a bus 504;
the processor 501 is connected with the memory 502, the input/output unit 503 and the bus 504;
the memory 502 stores programs that are executed by the processor 501 to perform the method of any one of the possible implementations of the embodiments shown in fig. 1-2.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. As described above. The formed units can be realized in a hardware form, and can also be realized in a software functional unit form.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A method of image processing, comprising:
determining a processing mode of a target image;
determining at least one target algorithm required to be used from an algorithm library according to the processing mode;
generating a parameter adjustment page according to the at least one target algorithm, wherein the parameter adjustment page comprises controls, and one target algorithm corresponds to at least one control;
displaying the parameter adjustment page;
receiving an operation instruction of a user to each control in the parameter adjusting page;
and modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction.
2. The method of claim 1, wherein generating a parameter adjustment page according to the at least one target algorithm comprises:
sequentially acquiring adjustable parameter name-control type pairs included by each target algorithm in the at least one target algorithm, wherein each target algorithm comprises at least one adjustable parameter name-control type pair;
generating corresponding controls according to adjustable parameter name-control type pairs included by each target algorithm;
and generating a parameter adjusting page according to the generated control.
3. The method according to claim 1, wherein after determining at least one target algorithm to be used from an algorithm library according to the processing manner, the method further comprises:
determining a cascade relationship between each target algorithm of the at least one target algorithm.
4. The method of claim 3, wherein after modifying the adjustable parameter value of the corresponding target algorithm according to the operation instruction, the method further comprises:
and sequentially executing the operation of each target algorithm on the target image according to the cascade relation.
5. The method according to any one of claims 1 to 4, further comprising:
creating a new algorithm and setting an adjustable parameter name-control type pair of the new algorithm;
adding the new algorithm to the algorithm library.
6. An apparatus for image processing, comprising:
a first determination unit for determining a processing mode of the target image;
the second determining unit is used for determining at least one target algorithm required to be used from the algorithm library according to the processing mode;
the generating unit is used for generating a parameter adjusting page according to the at least one target algorithm, the parameter adjusting page comprises controls, and one target algorithm corresponds to the at least one control;
the display unit is used for displaying the parameter adjustment page;
the receiving unit is used for receiving an operation instruction of a user to each control in the parameter adjusting page;
and the modifying unit is used for modifying the adjustable parameter value of the corresponding target algorithm according to the operating instruction.
7. The apparatus according to claim 6, wherein the generating unit is specifically configured to:
sequentially acquiring adjustable parameter name-control type pairs included by each target algorithm in the at least one target algorithm, wherein each target algorithm comprises at least one adjustable parameter name-control type pair;
generating corresponding controls according to adjustable parameter name-control type pairs included by each target algorithm;
and generating a parameter adjusting page according to the generated control.
8. The apparatus of claim 6, further comprising:
and the third determining unit is used for determining the cascade relation among the target algorithms in the at least one target algorithm.
9. An apparatus for image processing, comprising:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory holds a program that the processor calls to perform the method of any of claims 1 to 5.
10. A computer-readable storage medium having a program stored thereon, which when executed on a computer causes the computer to perform the method of any one of claims 1 to 5.
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| CN202111086442.9A CN113900748A (en) | 2021-09-16 | 2021-09-16 | Image processing method and device and computer readable storage medium |
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| CN202111086442.9A CN113900748A (en) | 2021-09-16 | 2021-09-16 | Image processing method and device and computer readable storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116069436A (en) * | 2023-03-17 | 2023-05-05 | 阿里巴巴达摩院(杭州)科技有限公司 | Remote sensing image processing method, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103123718A (en) * | 2011-11-21 | 2013-05-29 | 腾讯科技（深圳）有限公司 | Image processing method and system |
| CN108307101A (en) * | 2017-05-16 | 2018-07-20 | 腾讯科技（深圳）有限公司 | A kind of image processing method and electronic equipment, server |
| CN109101312A (en) * | 2018-08-30 | 2018-12-28 | Oppo广东移动通信有限公司 | Application interface edit methods, device, storage medium and mobile terminal |
| CN109543646A (en) * | 2018-11-30 | 2019-03-29 | 深圳市脸萌科技有限公司 | Face image processing process, device, electronic equipment and computer storage medium |
-
2021
- 2021-09-16 CN CN202111086442.9A patent/CN113900748A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103123718A (en) * | 2011-11-21 | 2013-05-29 | 腾讯科技（深圳）有限公司 | Image processing method and system |
| CN108307101A (en) * | 2017-05-16 | 2018-07-20 | 腾讯科技（深圳）有限公司 | A kind of image processing method and electronic equipment, server |
| CN109101312A (en) * | 2018-08-30 | 2018-12-28 | Oppo广东移动通信有限公司 | Application interface edit methods, device, storage medium and mobile terminal |
| CN109543646A (en) * | 2018-11-30 | 2019-03-29 | 深圳市脸萌科技有限公司 | Face image processing process, device, electronic equipment and computer storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116069436A (en) * | 2023-03-17 | 2023-05-05 | 阿里巴巴达摩院(杭州)科技有限公司 | Remote sensing image processing method, electronic equipment and storage medium |
| CN116069436B (en) * | 2023-03-17 | 2023-07-21 | 阿里巴巴达摩院(杭州)科技有限公司 | Remote sensing image processing method, electronic equipment and storage medium |
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