CN112532971A - Image processing method, image processing device, display terminal and computer readable storage medium - Google Patents

Image processing method, image processing device, display terminal and computer readable storage medium Download PDF

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Publication number
CN112532971A
CN112532971A CN202011342382.8A CN202011342382A CN112532971A CN 112532971 A CN112532971 A CN 112532971A CN 202011342382 A CN202011342382 A CN 202011342382A CN 112532971 A CN112532971 A CN 112532971A
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image
definition
preset
target image
image processing
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余鹏
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Shenzhen Skyworth RGB Electronics Co Ltd
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Shenzhen Skyworth RGB Electronics Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/02Diagnosis, testing or measuring for television systems or their details for colour television signals

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  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
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  • Signal Processing (AREA)
  • Controls And Circuits For Display Device (AREA)

Abstract

The invention discloses an image processing method which is used for a display terminal and comprises the following steps: acquiring a target image to be processed; judging whether the target image is an artificial image; when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set; and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image. The invention also discloses an image processing device, a display terminal and a computer readable storage medium. The artificial image obtained by the image processing method has better definition.

Description

Image processing method, image processing device, display terminal and computer readable storage medium
Technical Field
The present invention relates to the field of device control, and in particular, to an image processing method and apparatus, a display terminal, and a computer-readable storage medium.
Background
When testing the display terminal, an engineer tests the display terminal by using some relatively exquisite pictures or videos, wherein a part of the pictures or videos are designed or edited by a designer, i.e., artificial images, and the other part of the pictures or videos are natural images shot naturally. And respectively adjusting the definition of the artificial image and the natural image by utilizing the definition parameter of a preset register.
However, when the sharpness of the human contrast image is adjusted by the conventional image sharpness adjustment method, the sharpness of the obtained artificial image is poor.
Disclosure of Invention
The invention mainly aims to provide an image processing method, an image processing device, a display terminal and a computer readable storage medium, and aims to solve the technical problem that the definition of an artificial image obtained by using the existing image definition adjusting method to adjust the definition of a human contrast image is poor in the prior art.
In order to achieve the above object, the present invention provides an image processing method for a display terminal, the image processing method comprising the steps of:
acquiring a target image to be processed;
judging whether the target image is an artificial image;
when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set;
and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image.
Optionally, the step of determining whether the target image is an artificial image includes:
and judging whether the target image is an artificial image or not by utilizing a PQ TOOL TOOL.
Optionally, the step of determining whether the target image is an artificial image by using a PQ TOOL includes:
acquiring a register set;
determining a debug register in the register set using a PQ TOOL TOOL;
processing the target image by using the parameters in the debugging register to obtain a preprocessed image;
judging whether the preprocessed image has a preset number of preset color regions;
and if the preprocessed image has a preset number of areas with preset colors, the target image is an artificial image.
Optionally, after the step of determining whether the preprocessed image has the preset number of preset color regions, the method further includes:
when the preset number of preset color areas do not exist in the preprocessed image, determining a selected natural image definition register corresponding to the target image from the preset definition register set;
and performing definition adjustment on the target image by using the definition parameter in the selected natural image definition register to obtain a second result image.
Optionally, before the step of determining, from a preset sharpness register set, a selected human contrast image sharpness register corresponding to the target image when the target image is an artificial image, the method further includes:
and acquiring the preset definition register set from a sending end, wherein the preset definition register in the preset definition register set is obtained based on sample definition parameters and the processor operation capacity of the display terminal, and the sample definition parameters are acquired from the sample display terminal.
Optionally, the step of obtaining the preset definition register set from the sending end includes:
acquiring an upgrade package from the sending end, wherein the upgrade package comprises the preset definition register set;
and extracting the preset definition register set from the upgrade package.
Optionally, the preset definition register set is a file in a bin format.
In addition, to achieve the above object, the present invention further provides an image processing apparatus for a display terminal, the apparatus comprising:
the acquisition module is used for acquiring a target image to be processed;
the judging module is used for judging whether the target image is an artificial image;
the determining module is used for determining a selected human contrast image definition register corresponding to the target image from a preset definition register set when the target image is an artificial image;
and the obtaining module is used for adjusting the definition of the target image by utilizing the definition parameter in the selected artificial image definition device to obtain a first result image.
In addition, to achieve the above object, the present invention further provides a display terminal, including: the image processing system comprises a memory, a processor and an image processing program stored on the memory and running on the processor, wherein the image processing program realizes the steps of the image processing method according to any one of the above items when being executed by the processor.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having an image processing program stored thereon, wherein the image processing program, when executed by a processor, implements the steps of the image processing method according to any one of the above aspects.
The technical scheme of the invention provides an image processing method for a display terminal, which comprises the following steps: acquiring a target image to be processed; judging whether the target image is an artificial image; when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set; and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image. Therefore, the invention utilizes the definition parameter of the selected human contrast image definition register in the preset definition register to adjust the definition of the human contrast image, and the definition parameter of the artificial image is different from the definition parameter of the natural image, so that the mutual reference and mixing can cause the reduction of the image definition.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a display terminal of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an image processing method according to a first embodiment of the present invention;
FIG. 3 is a block diagram of an image processing apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a display terminal of a hardware operating environment according to an embodiment of the present invention.
The display terminal may be a User Equipment (UE) such as a Mobile phone, a smart phone, a laptop, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, a Mobile Station (MS), etc. The display terminal may be referred to as a user terminal, a portable terminal, a desktop terminal, or the like.
Generally, a display terminal includes: at least one processor 301, a memory 302, and an image processing program stored on the memory and executable on the processor, the image processing program being configured to implement the steps of the image processing method as described above.
The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. The processor 301 may further include an AI (Artificial Intelligence) processor for processing operations related to the image processing method, so that the image processing method model can be trained and learned autonomously, thereby improving efficiency and accuracy.
Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 302 is used to store at least one instruction for execution by the processor 801 to implement the image processing method provided by the method embodiments of the present application.
In some embodiments, the terminal may further include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. Various peripheral devices may be connected to communication interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power source 306.
The communication interface 303 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the communication interface 303 may be implemented on a single chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 304 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 305 is a touch display screen, the display screen 305 also has the ability to capture touch signals on or over the surface of the display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. At this point, the display screen 305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 305 may be one, the front panel of the electronic device; in other embodiments, the display screens 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display screen 305 may be a flexible display screen disposed on a curved surface or a folded surface of the electronic device. Even further, the display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 305 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The power supply 306 is used to power various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology. Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the image processing apparatus, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where an image processing program is stored, and when the image processing program is executed by a processor, the image processing method implements the steps of the image processing method described above. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. Determining by way of example, the program instructions may be deployed to be executed on one display terminal, or on multiple display terminals located at one site, or distributed across multiple sites and interconnected by a communication network.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The computer-readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Based on the above hardware structure, an embodiment of the image processing method of the present invention is provided.
Referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of an image processing method according to the present invention, the method is applied to a display terminal, and the method includes the following steps:
step S11: and acquiring a target image to be processed.
It should be noted that the execution main body of the method is a display terminal, and the display terminal refers to the above structure, which is not described herein again. The target image is an image to be processed, and can be a picture or a video stream; it is understood that the target image may be an artificial image or a natural image, wherein the artificial image is an image synthesized or processed by human, and the natural image is an image directly photographed by an apparatus without any processing. The target image may be acquired from a network, may be acquired from other devices, or may be in a memory of the display terminal.
Step S12: and judging whether the target image is an artificial image.
It should be noted that, in the prior art, after the artificial image is subjected to sharpness adjustment, the sharpness of the obtained adjusted human contrast image is poor, and the applicant finds that: because the artificial image and the natural image in the prior art are adjusted by using a set of definition parameters in common and the definition parameters of the artificial image and the natural image are different, the definition of the adjusted human contrast image obtained after the artificial image is processed is poorer; therefore, the applicant sets different definition parameters according to the difference of the definition parameters of the artificial image and the natural image, so as to adjust the definition of the human contrast image and the definition of the natural image respectively. At this time, it is necessary to determine whether the target image is an artificial image.
Further, step S12 includes: and judging whether the target image is an artificial image or not by utilizing a PQ TOOL TOOL.
It is understood that the PQ TOOL is a better TOOL for general use, and the user can select other TOOLs with similar functions according to the requirement, which should not be construed as a limitation of the present invention.
In a specific application, step S12 includes: acquiring a register set; determining a debug register in the register set using a PQ TOOL TOOL; processing the target image by using the parameters in the debugging register to obtain a preprocessed image; judging whether the preprocessed image has a preset number of preset color regions; if the preprocessed images exist in a preset number of areas with preset colors, the target image is an artificial image; if the preprocessed image does not have the preset number of areas with preset colors, the target image is not an artificial image, and the target image is a natural image.
It should be noted that, the execution body display terminal of the present invention usually stores a plurality of registers, that is, a register set, and the register set is directly obtained from the display terminal and is not obtained from other devices or networks; each register stores different programs and program operating parameters including, for example, a brightness register, a sharpness register, and a size register. Also, registers of the same function may include multiple different registers, e.g., a resolution register includes multiple different resolution registers. In this embodiment, the acquired register set may be all register sets, or may be a register set including only a definition register (a plurality of definition registers), which is not limited in the invention.
Thirdly, after obtaining the register set, using a PQ TOOL to determine a debugging register in the register set, where the debugging register may be a register corresponding to debug mode bits in the register set. And then, processing the target image by using the debugging register to obtain a preprocessed image.
In addition, the preset number may be 4, or may be other values, and generally, 4 is a value that is common by default for each user; the preset color may be pink or other colors, and generally, pink is a color which is used by each user as a default and is common. It is understood that when the predetermined number is 4 and the predetermined color is pink, the pre-processed image includes 4 pink regions, i.e. the artificial image, and the pre-processed image includes not 4 pink regions, i.e. the artificial image, for example, the pre-processed image includes 3 pink regions, i.e. the artificial image, and the pre-processed image includes 4 green regions, i.e. the artificial image.
Step S13: when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set;
it should be noted that the preset definition register set is set by a user according to a requirement, the preset definition register set includes a plurality of preset definition registers, and may include a human contrast definition register, a natural image definition set register, and the like, and meanwhile, the human contrast register may also refer to a plurality of different human contrast registers, so as to adjust the definitions of different artificial images by using definition parameters in the different human contrast registers, which is not limited in the present invention.
Usually, the preset definition register in the preset definition register set is obtained by a user according to the operation capability of a processor of the display terminal and definition parameters in definition registers of display terminals of other brands, and the like; other brands may be trademarks of industry benchmarks such as certain stars and certain ni, processors may include processors of certain departments and certain stars, and so on. Generally, a sample definition parameter is obtained from a sample definition register of a sample display terminal, a preset definition parameter is obtained based on the sample definition parameter and the computing capability of a processor of the display terminal, and a preset definition register set is obtained by using the preset definition parameter.
Further, before step S13, the method further includes: and acquiring the preset definition register set from a sending end, wherein the preset definition register in the preset definition register set is obtained based on sample definition parameters and the processor operation capacity of the display terminal, and the sample definition parameters are acquired from the sample display terminal.
In general, a main body performing the present invention acquires a preset definition register set from a transmitting end before performing the method of the present invention. The sending terminal is generally a cloud terminal or a server, provides equipment support for the display terminal, and is used for sending the installation package with the new function to the display terminal, so that the functions of the display terminal are more and more complete and perfect. The sample definition parameter is the definition parameter in the definition register of the display terminal of the post brand, namely, the sample display terminal is the display terminal of the post brand; the processor computing power of the display terminal is different, and the specific values of the definition parameters are also different, so the processor computing power of the display terminal is also a reference standard.
Further, step S12 includes: acquiring an upgrade package from the sending end, wherein the upgrade package comprises the preset definition register set; and extracting the preset definition register set from the upgrade package.
Generally, a user obtains a preset definition register (which may include a plurality of preset definition registers, a human radiography definition register, or a natural radiography definition register) by using a sample definition parameter and the operation capability of a processor of the display terminal, stores the preset definition register in a region corresponding to the human radiography definition register and a region corresponding to the natural radiography definition register in a PQ table to obtain a new PQ table, compiles the PQ table into a corresponding bin format file (i.e., the preset definition register set is a bin format file), and then adds the bin format file into an upgrade package to obtain the upgrade package from a transmitting end, extract the bin format file in the upgrade package, and obtain a preset definition register set based on the bin format file.
Step S14: and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image.
It should be noted that the preset sharpness registers all include sharpness parameters. If a plurality of artificial image sharpness registers are arranged in the preset sharpness register, the acquired corresponding selected human radiography sharpness parameters need to be matched with the original sharpness of the target image, namely, human radiography sharpness registers corresponding to artificial images with different sharpness may be different, a human radiography sharpness most matched with the sharpness of the target image needs to be determined in the plurality of artificial image sharpness registers, and sharpness adjustment is carried out by using sharpness parameters in the most matched human radiography sharpness. If there is a human contrast image definition device in the preset definition register, the register parameter in the human contrast image definition device is used for definition adjustment.
Further, after step S12, the method further includes: when the preset number of preset color areas do not exist in the preprocessed image, determining a natural image definition parameter corresponding to the target image from the preset definition parameter set; and carrying out definition adjustment on the target image by utilizing the natural image definition parameter to obtain a second result image.
It should be noted that when the preprocessed image does not have a preset number of preset color regions, that is, when the target image is not an artificial image, a natural image sharpness parameter corresponding to the target image is determined from the preset sharpness parameter set, so that the sharpness of the target image is adjusted by using the natural image sharpness parameter.
Similarly, if there are multiple natural image sharpness registers in the preset sharpness register, the acquired corresponding selected natural image sharpness parameter needs to be matched with the original sharpness of the target image, that is, the natural image sharpness registers corresponding to the natural images with different sharpness may be different, and it is necessary to determine one natural image sharpness device that is most matched with the sharpness of the target image from the multiple natural image sharpness devices, and perform sharpness adjustment using the sharpness parameter in the most matched natural image sharpness device. If a natural image definition device is arranged in the preset definition register, the definition is adjusted by using the register parameter in the natural image definition device.
In a specific application, if the target image is a picture, the image processing method of the present invention is directly performed on the picture, if the target image is a video, the step of determining one frame of the video is performed to determine whether the video is an artificial image (where one frame is an artificial image, which indicates that the video is artificially processed, i.e., an artificial video), and then the image processing method of the present invention is performed on each frame (i.e., steps S13-S14).
The technical solution of this embodiment provides an image processing method for a display terminal, where the image processing method includes the following steps: acquiring a target image to be processed; judging whether the target image is an artificial image; when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set; and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image. Therefore, the invention utilizes the definition parameter of the selected human contrast image definition register in the preset definition register to adjust the definition of the human contrast image, and the definition parameter of the artificial image is different from the definition parameter of the natural image, so that the mutual reference and mixing can cause the reduction of the image definition.
Referring to fig. 3, fig. 3 is a block diagram of a first embodiment of an image processing apparatus according to the present invention, the apparatus is used for a display terminal, and the apparatus includes:
an obtaining module 10, configured to obtain a target image to be processed;
a determining module 20, configured to determine whether the target image is an artificial image;
a determining module 30, configured to determine, from a preset definition register set, a selected human contrast definition register corresponding to the target image when the target image is an artificial image;
an obtaining module 40, configured to perform sharpness adjustment on the target image by using sharpness parameters in the selected artificial image sharpness device, so as to obtain a first result image.
The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An image processing method, which is used for a display terminal, the image processing method comprising the steps of:
acquiring a target image to be processed;
judging whether the target image is an artificial image;
when the target image is an artificial image, determining a selected human contrast image definition register corresponding to the target image from a preset definition register set;
and carrying out definition adjustment on the target image by using the definition parameter in the selected artificial image definition device to obtain a first result image.
2. The image processing method of claim 1, wherein the step of determining whether the target image is an artificial image comprises:
and judging whether the target image is an artificial image or not by utilizing a PQ TOOL TOOL.
3. The image processing method of claim 2, wherein the step of determining whether the target image is an artificial image using a PQ TOOL comprises:
acquiring a register set;
determining a debug register in the register set using a PQ TOOL TOOL;
processing the target image by using the parameters in the debugging register to obtain a preprocessed image;
judging whether the preprocessed image has a preset number of preset color regions;
and if the preprocessed image has a preset number of areas with preset colors, the target image is an artificial image.
4. The image processing method as claimed in claim 3, wherein after the step of determining whether the pre-processed image has the predetermined number of the predetermined color regions, the method further comprises:
when the preset number of preset color areas do not exist in the preprocessed image, determining a selected natural image definition register corresponding to the target image from the preset definition register set;
and performing definition adjustment on the target image by using the definition parameter in the selected natural image definition register to obtain a second result image.
5. The image processing method of claim 4, wherein before the step of determining the selected human contrast image sharpness register corresponding to the target image from a set of preset sharpness registers when the target image is an artificial image, the method further comprises:
and acquiring the preset definition register set from a sending end, wherein the preset definition register in the preset definition register set is obtained based on sample definition parameters and the processor operation capacity of the display terminal, and the sample definition parameters are acquired from the sample display terminal.
6. The image processing method as claimed in claim 5, wherein said step of obtaining said preset sharpness register set from the sender comprises:
acquiring an upgrade package from the sending end, wherein the upgrade package comprises the preset definition register set;
and extracting the preset definition register set from the upgrade package.
7. The image processing method as claimed in any one of claims 1 to 6, wherein said predetermined sharpness register set is a file in a bin format.
8. An image processing apparatus for a display terminal, the apparatus comprising:
the acquisition module is used for acquiring a target image to be processed;
the judging module is used for judging whether the target image is an artificial image;
the determining module is used for determining a selected human contrast image definition register corresponding to the target image from a preset definition register set when the target image is an artificial image;
and the obtaining module is used for adjusting the definition of the target image by utilizing the definition parameter in the selected artificial image definition device to obtain a first result image.
9. A display terminal, characterized in that the display terminal comprises: a memory, a processor and an image processing program stored on the memory and running on the processor, the image processing program when executed by the processor implementing the steps of the image processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, having an image processing program stored thereon, the image processing program, when executed by a processor, implementing the steps of the image processing method according to any one of claims 1 to 7.
CN202011342382.8A 2020-11-25 2020-11-25 Image processing method, image processing device, display terminal and computer readable storage medium Pending CN112532971A (en)

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Application publication date: 20210319