CN117560545A - Image parameter adjusting method and device, display equipment and storage medium - Google Patents
Image parameter adjusting method and device, display equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 79
- 230000000694 effects Effects 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 7
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- 208000006992 Color Vision Defects Diseases 0.000 description 3
- 201000007254 color blindness Diseases 0.000 description 3
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- 239000000463 material Substances 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The application provides an image parameter adjusting method, an image parameter adjusting device, display equipment and a storage medium, and relates to the technical field of image communication. Acquiring target user information matched with the input target voiceprint information from a preset user information base; adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information; image parameters of the display device are adjusted based on the image quality model and the identified image scene. By adopting the method for adjusting the image parameters, the user can be identified through the voiceprint, the preset standard mode can be adjusted according to the preference of the identified user, the image parameters can be adaptively adjusted according to the image scene, good display effects can be ensured when the equipment plays pictures with different contents, parameter setting does not need to be manually adjusted according to the preference when different users use the equipment, and the intelligence of display equipment such as televisions is greatly improved.
Description
Technical Field
The present disclosure relates to the field of image communication technologies, and in particular, to a method and apparatus for adjusting image parameters, a display device, and a storage medium.
Background
With the development of technology and the continuous improvement of living standard of people, the use of various intelligent televisions is becoming more and more popular, and the intelligent televisions become an indispensable entertainment tool in the life of people.
When a display device such as a television leaves a factory, a default image setting parameter usually exists, and a user may not adapt to the original image setting parameter of the device due to individual difference in the using process, and in this case, the user can only manually adjust the parameter.
However, a single image setting parameter is not suitable for different image contents displayed in the device, and the perception of the image color by different users is different, so that the same set of parameter setting is not optimal for all users.
In summary, when the display devices such as televisions and the like adjust the image parameters, the technical problem of insufficient intelligence still exists.
Disclosure of Invention
The main purpose of the application is to provide a method, a device, a display device and a storage medium for adjusting image parameters, which aim to solve the technical problem that display devices such as televisions are not intelligent enough when adjusting the image parameters.
In order to achieve the above object, the present application provides a method for adjusting an image parameter, where the method for adjusting an image parameter is applied to a display device, the method for adjusting an image parameter includes:
acquiring target user information matched with the input target voiceprint information from a preset user information base;
adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
adjusting image parameters of the display device based on the image quality model and the identified image scene.
Optionally, in a possible embodiment, before the step of acquiring target user information matched with the input target voiceprint information in the preset user information base, the method further includes:
judging whether target user information matched with the input target voiceprint information exists in a preset user information base or not;
if the target user information matched with the target voiceprint information does not exist, displaying an image customization interface;
and acquiring new target user information through the image customization interface, and matching and storing the new target user information and the target voiceprint information into the user information base.
Optionally, in a possible embodiment, the acquiring new target user information through the image customization interface includes:
sequentially displaying a plurality of reference image groups through the image customization interface;
acquiring parameter setting instructions corresponding to the reference image groups;
generating an effect preview page corresponding to each parameter setting instruction;
after the storage instruction is acquired, each image customization parameter in each parameter setting instruction is stored into new target user information, and the new target user information is obtained.
Optionally, in a possible embodiment, after the step of displaying the image customization interface, the method further includes:
acquiring scene customization parameters corresponding to each preset scene through the image customization interface;
and storing each scene customization parameter into new target user information to obtain new target user information.
Optionally, in a feasible embodiment, the step of adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information includes:
acquiring standard image parameters in a preset standard mode and image customization parameters in the target user information;
And generating an image quality model corresponding to the target user information according to the standard image parameters and the image customization parameters.
Optionally, in a possible embodiment, the step of generating an image quality model corresponding to the target user information according to the standard image parameter and the image customization parameter includes:
calculating a parameter offset between the standard image parameter and the image customization parameter;
replacing the standard image parameters with the image customization parameters;
and synchronizing the parameter offset to each preset scene setting to generate an image quality model corresponding to the target user information.
Optionally, in a possible embodiment, the step of adjusting an image parameter of the display device based on the image quality model and the identified image scene includes:
performing scene recognition on the current output image to obtain an image scene;
and acquiring scene settings corresponding to the image scenes from the image quality model, and adjusting current image parameters according to scene image parameters in the scene settings.
In addition, in order to achieve the above object, the present application further provides an image parameter adjusting device, where the image parameter adjusting device is a virtual device, and the image parameter adjusting device includes:
The information matching module is used for acquiring target user information matched with the input target voiceprint information from a preset user information base;
the model acquisition module is used for adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
and the parameter adjusting module is used for adjusting the image parameters of the display equipment based on the image quality model and the identified image scene.
In addition, to achieve the above object, the present application further provides a display device including: the image parameter adjusting device comprises a memory, a processor and an image parameter adjusting program which is stored in the memory and can run on the processor, wherein the image parameter adjusting program realizes the steps of the image parameter adjusting method when being executed by the processor.
The present application also provides a computer storage medium having stored thereon an adjustment program for image parameters, which when executed by a processor, implements the steps of the image parameter adjustment method as described above.
The application provides an image parameter adjusting method, an image parameter adjusting device, a display device and a storage medium, wherein the image parameter adjusting method is applied to the display device and comprises the following steps: acquiring target user information matched with the input target voiceprint information from a preset user information base; adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information; adjusting image parameters of the display device based on the image quality model and the identified image scene.
Compared with the conventional technical means requiring manual adjustment of image parameters by a user, the image parameter adjustment method of the application obtains an image quality model suitable for the user by matching user information through voiceprints and setting a preset standard mode in adjustment equipment according to image preference preset by the user, and then adaptively adjusts various parameters of the image according to a scene displayed in the image identified by the equipment in real time and the image quality model.
Therefore, compared with the traditional mode of manually adjusting the image parameters by a user, the method for adjusting the image parameters can identify the user through voiceprint, adjust the preset standard mode according to the identified user preference, adaptively adjust the image parameters according to the image scene, ensure good display effect when the device plays pictures with different contents, and do not need to manually adjust parameter settings according to the preference when different users use, thereby greatly improving the intelligence of display devices such as televisions.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a display device structure of a device hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating an embodiment of a method for adjusting image parameters according to the present application;
FIG. 3 is a customized scene graph according to an embodiment of a method for adjusting image parameters of the present application;
FIG. 4 is a user interaction diagram related to an embodiment of a method for adjusting image parameters of the present application;
FIG. 5 is a flowchart illustrating an embodiment of a method for adjusting image parameters according to the present application;
fig. 6 is a schematic functional block diagram of an apparatus for adjusting image parameters according to an embodiment of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, with the development of technology and the continuous improvement of living standard of people, various smart televisions are becoming more and more popular, and smart televisions have become indispensable entertainment tools in people's life.
When a display device such as a television leaves a factory, a default image setting parameter usually exists, and a user may not adapt to the original image setting parameter of the device due to individual difference in the using process, and in this case, the user can only manually adjust the parameter.
With iteration of an android operating system and application of an AI chip at present, after android 8.0 is released, android operation provides a set of android nn interfaces, and a developer can develop a convolution algorithm based on nn, and the algorithm simply trains a related model in advance. The training principle of the model is that mass materials are adopted to be provided for the model, after the model is identified, manual correction is carried out, and the identification accuracy of the model to the materials is improved through continuous training. The identification can be operated in an independent hardware IP unit, does not occupy CPU (Central Processing Unit ) of a main Chip SOC (System on Chip), GPU (Graphics Processing Unit, graphics processor) resources, and can identify the currently played picture under the condition that normal use of the television is not affected. And automatically adjusting the image parameters such as hue, definition, brightness, saturation, contrast and the like of electronic equipment such as televisions and the like according to the identified scenes. However, many manufacturers do not consider that the user vision difference is different in preference to the image parameters, so that the image parameters which are automatically adjusted do not reach the most comfortable state for the user vision. A single image setting parameter is not suitable for different image contents displayed in the device, and different users perceive different image colors, so that the same set of parameter setting is not optimal for all users.
In summary, when the display devices such as televisions and the like adjust the image parameters, the technical problem of insufficient intelligence still exists.
In view of the above problems, the present application provides an image parameter adjusting method, an apparatus, a display device, and a storage medium, where the image parameter adjusting method is applied to the display device, and the image parameter adjusting method includes: acquiring target user information matched with the input target voiceprint information from a preset user information base; adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information; adjusting image parameters of the display device based on the image quality model and the identified image scene.
Compared with the conventional technical means requiring manual adjustment of image parameters by a user, the image parameter adjustment method of the application obtains an image quality model suitable for the user by matching user information through voiceprints and setting a preset standard mode in adjustment equipment according to image preference preset by the user, and then adaptively adjusts various parameters of the image according to a scene displayed in the image identified by the equipment in real time and the image quality model.
Therefore, compared with the traditional mode of manually adjusting the image parameters by a user, the method for adjusting the image parameters can identify the user through voiceprint, adjust the preset standard mode according to the identified user preference, adaptively adjust the image parameters according to the image scene, ensure good display effect when the device plays pictures with different contents, and do not need to manually adjust parameter settings according to the preference when different users use, thereby greatly improving the intelligence of display devices such as televisions.
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without making any inventive effort, are intended to be within the scope of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a display device structure of a device hardware running environment according to an embodiment of the present application.
The terminal device according to the embodiment of the present invention may be a data storage control terminal, a television, a PC, a portable computer, or the like in an image parameter adjustment system that executes the image parameter adjustment method of the present application.
As shown in fig. 1, the display device may include: a processor 1001, such as a CPU, memory 1005, and a communication bus 1002. Wherein a communication bus 1002 is used to enable connected communication between the processor 1001 and a memory 1005. The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the display device may also include a user interface 1003, a network interface 1004, a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, wiFi modules, and the like. The user interface may comprise a Display, an input sub-module such as a Keyboard (Keyboard), and optionally may comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI F I interface).
It will be appreciated by those skilled in the art that the display device structure shown in fig. 1 is not limiting of the display device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, and an adjustment program of image parameters may be included in a memory 1005 as one type of computer storage medium. An operating system is a program that manages and controls the display device hardware and software resources, supporting the adjustment of image parameters, and the execution of other software and/or programs. The network communication module is used to implement communication between the components within the memory 1005 and other hardware and software in the image parameter adjustment device.
In the display device shown in fig. 1, the processor 1001 is configured to execute an adjustment program of image parameters stored in the memory 1005, and to execute the following operations:
acquiring target user information matched with the input target voiceprint information from a preset user information base;
adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
adjusting image parameters of the display device based on the image quality model and the identified image scene.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
judging whether target user information matched with the input target voiceprint information exists in a preset user information base or not;
if the target user information matched with the target voiceprint information does not exist, displaying an image customization interface;
and acquiring new target user information through the image customization interface, and matching and storing the new target user information and the target voiceprint information into the user information base.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
Sequentially displaying a plurality of reference image groups through the image customization interface;
acquiring parameter setting instructions corresponding to the reference image groups;
generating an effect preview page corresponding to each parameter setting instruction;
after the storage instruction is acquired, each image customization parameter in each parameter setting instruction is stored into new target user information, and the new target user information is obtained.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
acquiring scene customization parameters corresponding to each preset scene through the image customization interface;
and storing each scene customization parameter into new target user information to obtain new target user information.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
acquiring standard image parameters in a preset standard mode and image customization parameters in the target user information;
and generating an image quality model corresponding to the target user information according to the standard image parameters and the image customization parameters.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
Calculating a parameter offset between the standard image parameter and the image customization parameter;
replacing the standard image parameters with the image customization parameters;
and synchronizing the parameter offset to each preset scene setting to generate an image quality model corresponding to the target user information.
Further, the processor 1001 may call an adjustment program of image parameters stored in the memory 1005, and further perform the following operations:
performing scene recognition on the current output image to obtain an image scene;
and acquiring scene settings corresponding to the image scenes from the image quality model, and adjusting current image parameters according to scene image parameters in the scene settings.
An embodiment of the present application provides a method for adjusting an image parameter, in a first embodiment of the method for adjusting an image parameter of the present application, please refer to fig. 2, the method for adjusting an image parameter includes:
step S10, acquiring target user information matched with the input target voiceprint information from a preset user information base;
in this embodiment, when a user uses the television, the television is started up, then the user logs in the account through the voiceprint information, after receiving the voiceprint information of the user, the television searches the user information base stored in the television for target user information matched with the voiceprint information, and the user login is completed.
It should be noted that, the television stores the user information of different users in the user information base, so that the users can match the corresponding user information when logging in.
Step S20, a preset standard mode is adjusted based on the target user information so as to obtain an image quality model corresponding to the target user information;
it should be noted that, when the television leaves the factory, an initial image parameter is set according to a large amount of statistical data, and in this embodiment, the initial image parameter is used as a standard mode.
In this embodiment, after a user logs in, the television obtains the preference setting of the user for the image in the target user information, and adjusts the preset standard mode of the television according to the preference setting of the user, so that the image quality model adapting to the preference of the user can be obtained after adjustment.
And step S30, adjusting image parameters of the display device based on the image quality model and the identified image scene.
In this embodiment, when the television is running, the television will identify the scene in the image in real time, and adjust the image parameters based on the standard mode according to the identified scene adaptation, so when the user has a preference setting, the preference setting and the image scene of the user are comprehensively considered to adjust the image parameters of the device.
Specifically, in a possible embodiment, the step S30 described above, the step of adjusting the image parameters of the display device based on the image quality model and the identified image scene, includes:
step S301, performing scene recognition on a current output image to obtain an image scene;
step S302, obtaining a scene setting corresponding to the image scene from the image quality model, and adjusting current image parameters according to scene image parameters in the scene setting.
In this embodiment, the device with android nn may perform a convolution algorithm based on nn, and provide a model for image recognition, where the model may identify a scene in an image.
In this embodiment, when the television runs, the scenes in the image are identified in real time, before leaving the factory, the scene image parameters for each scene are set on the basis of the standard mode according to different parameters required by different scenes, and after the corresponding scenes in the image are identified, the image parameters are automatically adjusted so that the display effect of the image is optimal. When the user has preference setting, the preference setting and the image scene of the user are comprehensively considered to adjust the image parameters of the equipment, so that the watching experience of the user can be always optimal.
Specifically, when a user opens a television, a section of voice is input to the television to log in, after the television receives the voice, the voice is matched with voiceprint information in a user information base, user information corresponding to the voiceprint information is obtained, the user login is completed, then a standard mode is adjusted according to parameters of user preference in the user information, an image quality model corresponding to the user preference is generated, then in the process of real-time operation of the television, played images are identified, and the image parameters of equipment are adjusted by integrating the image quality model and the identified image scene, so that the user is ensured to always keep the best image quality in the watching process.
In the voice print acquisition process, when a user registers, the television end reminds the user to record and acquire, the user can select a section of representative voice to be input into the television, and after the television is started, the voice of the user is automatically acquired to be identified.
If the user also has the option of not voice-print logging in a scene viewed by multiple persons, the device defaults to a standard mode to adaptively adjust image parameters based on the identified image scene.
In addition, in a possible embodiment, besides the voice print information is used for user authentication login, a camera can be additionally arranged on the television, and the user login is performed by face recognition or in an account password mode. The login method is a login scheme applicable to the adjustment method of the image parameters of the application, and other login schemes capable of user identification can be also applicable to the application, and are not described herein.
In addition, the surrounding environment can be detected according to a camera or other sensors, and the image parameters can be adjusted according to the influence of light rays and the like of the surrounding environment.
Compared with the conventional technical means requiring manual adjustment of image parameters by a user, the image parameter adjustment method of the application obtains an image quality model suitable for the user by matching user information through voiceprints and setting a preset standard mode in adjustment equipment according to image preference preset by the user, and then adaptively adjusts various parameters of the image according to a scene displayed in the image identified by the equipment in real time and the image quality model.
Therefore, compared with the traditional mode of manually adjusting the image parameters by a user, the method for adjusting the image parameters can identify the user through voiceprint, adjust the preset standard mode according to the identified user preference, adaptively adjust the image parameters according to the image scene, ensure good display effect when the device plays pictures with different contents, and do not need to manually adjust parameter settings according to the preference when different users use, thereby greatly improving the intelligence of display devices such as televisions.
Further, based on the above-described first embodiment of the method for adjusting image parameters of the present application, a second embodiment of the method for adjusting image parameters of the present application is proposed.
In a second embodiment of the image parameter adjustment method of the present application, before the step of obtaining the target user information matched with the input target voiceprint information in the preset user information base in the step S10, the method further includes:
step A10, judging whether target user information matched with the input target voiceprint information exists in a preset user information base;
step A20, if no target user information matched with the target voiceprint information exists, displaying an image customization interface;
and step A30, acquiring new target user information through the image customization interface, and matching and storing the new target user information and the target voiceprint information into the user information base.
In this embodiment, when the motor is started, voiceprint information of a user is automatically collected, after the voiceprint information is input by the user, whether target user information matched with the input voiceprint information exists in a user information base stored in the television is judged, if so, the step of matching and logging is performed, and if not, a new account is established, and the user information of the new user is stored.
When a new user is registered, an image customization page is displayed in the television, the user performs preference setting on the image customization page, and after the television acquires all the preference settings, the preference settings are stored in new user information and are matched with voiceprint information of the user to be stored in the television.
Further, in a possible embodiment, in the step a30, the step of acquiring new target user information through the image customization interface includes:
step A301, sequentially displaying a plurality of reference image groups through the image customization interface;
step A302, obtaining parameter setting instructions corresponding to each reference image group;
step A303, generating an effect preview page corresponding to each parameter setting instruction;
and step A304, after the storage instruction is acquired, storing each image customization parameter in each parameter setting instruction into new target user information to obtain the new target user information.
In this embodiment, when the television displays an image customization interface to a user, multiple groups of reference images are sequentially displayed in the interface, each group of reference images includes multiple reference images, the user is guided to select favorite images according to own preferences, the selected images are parameter setting instructions, and after the user finishes selection, all the selections of the user are integrated to generate an effect preview page. After the user confirms the final effect, selecting and storing the image parameters in each parameter setting instruction into the target user information of the user.
For example, referring to fig. 3, fig. 3 is a customized scene diagram according to an embodiment of a method for adjusting image parameters of the present application, where a user sits in front of a television according to an instruction, and the user may sit in a common viewing position to ensure an optimal matching experience. After the user confirms, the television end displays three groups of pictures on the image customization interface, each group displays 3 pictures on the left, middle and right, the content of the 3 pictures is identical, the related image parameters are different, the image parameters are acted on the pictures, and the user selects the corresponding pictures according to the preference of the user. The pictures are saved to a background server, and the pictures can be updated as required. For example, in customizing the saturation parameters, 3 groups of pictures are given to the user to confirm the selection, each group has 3 pictures, wherein the saturation of the right picture is 75, 50, 25 respectively in the left of the 3 pictures. The rest of the method for customizing contrast, definition and tone parameters is the same as saturation. The four values of saturation, contrast, definition and hue are all in the range of 0-100, three files are set, each group has three pictures, wherein the left picture, the middle picture and the right picture of the three pictures are respectively 75, 50 and 25 corresponding to the customized image parameters.
Referring to fig. 4, fig. 4 is a user interaction diagram related to an embodiment of an image parameter adjustment method of the present application, when each group of images is displayed, a user needs to use a remote controller or other control methods to select a preferred reference image, when the user drops focus on the preferred reference image, the user clicks "confirm" to select, then enters the next group of images, after completing the selection of each group of images, an effect image is generated by integrating all the selections, on an effect image page, the user can compare the effect image customized by the user with the original image in the standard mode according to the state of a switch, if the preview effect is satisfactory, the user can save, if the effect is unsatisfactory, the scheme can be customized again, or fine adjustment is performed on each image parameter.
It should be noted that, in this embodiment, all the customized image parameters are aimed at SDR (Standard Dynamic Range ), and the image parameters customized according to the visual preference of the user automatically correct and match the image parameters corresponding to HDR (High Dynamic Range Imaging, high dynamic range), where the SDR and the HDR image parameters respectively correspond to playing SDR and HDR film sources.
Further, in a possible embodiment, after the step of displaying the image customization interface in the step a20, the method further includes:
step B10, acquiring scene customization parameters corresponding to each preset scene through the image customization interface;
and step B20, storing each scene customization parameter into new target user information to obtain the new target user information.
In this embodiment, when user preference customization is obtained through the image customization interface, the images may be further grouped according to different scenes, and the reference images are subdivided according to the scenes and each parameter, so that the user preference is customized more finely, and the user experience is further improved.
Specifically, after entering an image customization interface, three pictures in a movie scene are displayed in the interface, wherein the pictures have the same content but different saturation, after the saturation setting in the movie scene is completed, the other parameter setting in the movie scene is sequentially completed, then the parameter setting in other scenes is sequentially completed, and each parameter of each scene is directly used as the parameter when the user watches, so that the adaptability to the user preference is further improved.
In addition, before all the pictures are selected, color blindness options can be provided, and different color optimization schemes are provided for different color blindness groups so as to adapt to the requirements of different types of color blindness groups on image parameters.
Thus, the application considers the personal visual preference of the user, and better visual effect is achieved by adopting the image parameters which are more fit with the personal visual preference of the user. And the image parameters with different user visual preferences can be stored separately without mutual influence, so that the user experience is greatly improved.
Further, based on the first embodiment and the second embodiment of the adjustment method of image parameters of the present application described above, a third embodiment of the adjustment method of image parameters of the present application is proposed.
In a third embodiment of the method for adjusting image parameters of the present application, the step S20 of adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information includes:
step S201, obtaining standard image parameters in a preset standard mode and image customization parameters in the target user information;
step S202, generating an image quality model corresponding to the target user information according to the standard image parameters and the image customization parameters.
In this embodiment, after user information corresponding to a user is obtained, each standard image parameter in a standard mode is obtained first, then an image customization parameter in target user information is obtained, and then an image quality model corresponding to the user can be obtained through calculation according to the standard image parameter and the image customization parameter.
Further, in a possible embodiment, the step S202 of generating the image quality model corresponding to the target user information according to the standard image parameter and the image customization parameter includes:
step S2021, calculating a parameter offset between the standard image parameter and the image customization parameter;
step S2022, replacing the standard image parameters with the image customization parameters;
step S2023 synchronizes the parameter offset to each preset scene setting, so as to generate an image quality model corresponding to the target user information.
In this embodiment, since the user is a preference setting performed under a standard scene in the customizing process, it is necessary to recalculate scene settings corresponding to respective scenes according to the offset between the image customizing parameter set by the user and the standard image parameter to obtain an image quality model corresponding to the user. For example, the saturation in the standard mode is 50, the saturation in the movie mode is 65, and the average saturation obtained by setting the three sets of saturation is 55 when the user prefers to set, and when the image quality model of the user is adopted, the saturation in the movie mode needs to be set to 70.
In addition, if the user adopts a customizing mode for subdividing according to scenes and parameters when customizing parameters, the parameters in each scene are directly applied to the image quality model, and the offset from the standard mode is not required to be calculated.
Specifically, referring to fig. 5, fig. 5 is a flowchart illustrating an implementation of an embodiment of a method for adjusting image parameters in the present application, when a user opens a television, the television first obtains user account information corresponding to voiceprint information according to voiceprint information of the user, then obtains four parameters, such as saturation, contrast, definition and hue, that are most suitable in a standard image mode according to a result of visual verification of the user, replaces the four parameters in the standard image mode, synchronizes the reduced/increased offset of the four parameters relative to the standard image mode, and provides an image display effect most suitable for the current user, and then automatically matches the best image parameters by synchronizing the reduced/increased offset of the four parameters relative to the standard image mode to a bright/movie/sports/game/office mode, and then intelligently generating a dedicated image quality model, saving the image parameters and account numbers of the user together, recording and saving related image parameters according to visual verification conditions of the user account for each family member, and automatically matching the best image parameters in combination with a scene recognized by a television AI chip.
Therefore, compared with the traditional mode of manually adjusting the image parameters by a user, the method for adjusting the image parameters can identify the user through voiceprint, adjust the preset standard mode according to the identified user preference, adaptively adjust the image parameters according to the image scene, ensure good display effect when the device plays pictures with different contents, and do not need to manually adjust parameter settings according to the preference when different users use, thereby greatly improving the intelligence of display devices such as televisions.
In addition, referring to fig. 6, fig. 6 is a schematic functional block diagram of an image parameter adjusting device according to the present application, and the present application further provides an image parameter adjusting device, where the image parameter adjusting device includes:
the information matching module 10 is used for acquiring target user information matched with the input target voiceprint information from a preset user information base;
the model obtaining module 20 is configured to adjust a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
a parameter adjustment module 30 for adjusting image parameters of the display device based on the image quality model and the identified image scene.
Optionally, the adjusting device of the image parameter further includes:
the registration module is used for judging whether target user information matched with the input target voiceprint information exists in a preset user information base; if the target user information matched with the target voiceprint information does not exist, displaying an image customization interface; and acquiring new target user information through the image customization interface, and matching and storing the new target user information and the target voiceprint information into the user information base.
Optionally, the registration module is further configured to:
sequentially displaying a plurality of reference image groups through the image customization interface; acquiring parameter setting instructions corresponding to the reference image groups; generating an effect preview page corresponding to each parameter setting instruction; after the storage instruction is acquired, each image customization parameter in each parameter setting instruction is stored into new target user information, and the new target user information is obtained.
Optionally, the registration module is further configured to:
acquiring scene customization parameters corresponding to each preset scene through the image customization interface; and storing each scene customization parameter into new target user information to obtain new target user information.
Optionally, the model acquisition module is further configured to:
acquiring standard image parameters in a preset standard mode and image customization parameters in the target user information; and generating an image quality model corresponding to the target user information according to the standard image parameters and the image customization parameters.
Optionally, the model acquisition module is further configured to:
calculating a parameter offset between the standard image parameter and the image customization parameter; replacing the standard image parameters with the image customization parameters; and synchronizing the parameter offset to each preset scene setting to generate an image quality model corresponding to the target user information.
Optionally, the parameter adjustment module is further configured to:
performing scene recognition on the current output image to obtain an image scene; and acquiring scene settings corresponding to the image scenes from the image quality model, and adjusting current image parameters according to scene image parameters in the scene settings.
The specific implementation manner of the image parameter adjusting device in the present application is basically the same as each embodiment of the image parameter adjusting method, and is not described herein again.
Furthermore, the present application proposes a computer storage medium having stored thereon a program for adjusting image parameters, which when executed by a processor, implements the steps of the method for adjusting image parameters of the present application as described above.
The specific embodiments of the computer storage medium in the present application are substantially the same as the embodiments of the above-mentioned image parameter adjustment method, and are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (10)
1. A method for adjusting an image parameter, wherein the method for adjusting an image parameter is applied to a display device, and the method for adjusting an image parameter comprises:
acquiring target user information matched with the input target voiceprint information from a preset user information base;
adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
adjusting image parameters of the display device based on the image quality model and the identified image scene.
2. The method for adjusting image parameters according to claim 1, wherein before the step of acquiring target user information matching the input target voiceprint information in a preset user information base, the method further comprises:
judging whether target user information matched with the input target voiceprint information exists in a preset user information base or not;
If the target user information matched with the target voiceprint information does not exist, displaying an image customization interface;
and acquiring new target user information through the image customization interface, and matching and storing the new target user information and the target voiceprint information into the user information base.
3. The method for adjusting image parameters according to claim 2, wherein the step of acquiring new target user information through the image customization interface comprises:
sequentially displaying a plurality of reference image groups through the image customization interface;
acquiring parameter setting instructions corresponding to the reference image groups;
generating an effect preview page corresponding to each parameter setting instruction;
after the storage instruction is acquired, each image customization parameter in each parameter setting instruction is stored into new target user information, and the new target user information is obtained.
4. The method of adjusting image parameters according to claim 2, wherein after the step of presenting an image customization interface, the method further comprises:
acquiring scene customization parameters corresponding to each preset scene through the image customization interface;
And storing each scene customization parameter into new target user information to obtain new target user information.
5. The method according to claim 1, wherein the step of adjusting a preset standard pattern based on the target user information to obtain an image quality model corresponding to the target user information comprises:
acquiring standard image parameters in a preset standard mode and image customization parameters in the target user information;
and generating an image quality model corresponding to the target user information according to the standard image parameters and the image customization parameters.
6. The method according to claim 5, wherein the step of generating the image quality model corresponding to the target user information based on the standard image parameters and the image customization parameters comprises:
calculating a parameter offset between the standard image parameter and the image customization parameter;
replacing the standard image parameters with the image customization parameters;
and synchronizing the parameter offset to each preset scene setting to generate an image quality model corresponding to the target user information.
7. The method of adjusting image parameters according to claim 1, wherein the step of adjusting the image parameters of the display device based on the image quality model and the identified image scene comprises:
performing scene recognition on the current output image to obtain an image scene;
and acquiring scene settings corresponding to the image scenes from the image quality model, and adjusting current image parameters according to scene image parameters in the scene settings.
8. An image parameter adjusting apparatus, wherein the image parameter adjusting apparatus is applied to a display device, the image parameter adjusting apparatus comprising:
the information matching module is used for acquiring target user information matched with the input target voiceprint information from a preset user information base;
the model acquisition module is used for adjusting a preset standard mode based on the target user information to obtain an image quality model corresponding to the target user information;
and the parameter adjusting module is used for adjusting the image parameters of the display equipment based on the image quality model and the identified image scene.
9. A display device, the display device comprising: memory, a processor, wherein the memory has stored thereon an adjustment program for image parameters, which when executed by the processor, implements the steps of the method for adjusting image parameters according to any one of claims 1 to 7.
10. A computer storage medium, wherein an adjustment program for an image parameter is stored on the computer storage medium, which when executed by a processor, implements the steps of the adjustment method for an image parameter according to any one of claims 1 to 7.
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