CN116312331B - Image quality adjustment control method and related device for display - Google Patents
Image quality adjustment control method and related device for display Download PDFInfo
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Abstract
The invention relates to the field of artificial intelligence, and discloses an image quality adjustment control method and a related device for a display, which are used for improving the accuracy of the image quality adjustment control of the display and improving the display image quality of the display. The method comprises the following steps: matching a plurality of first image quality adjustment modules from the display image quality adjustment assembly according to the first image quality adjustment parameter set to perform image quality adjustment control; performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to generate first display image quality information; setting an optimal image quality evaluation index, and judging whether the image quality information of the first display meets the optimal image quality evaluation index or not to obtain a judging result; if the judging result is not in conformity, generating a second image quality adjustment parameter set through the image quality information of the first display and determining at least one second image quality adjustment module; and performing image quality adjustment control on the target display, and acquiring image quality information of the second display until the image quality information of the second display meets the optimal image quality evaluation index.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an image quality adjustment control method and a related device for a display.
Background
With the continuous upgrading and development of hardware devices such as computers and displays, the requirements of users on the image quality of the displays are also increasing. However, the adjustment of image quality becomes very difficult and complicated due to subjective feelings of the user on the image quality and differences between different display products. Therefore, how to realize quick, accurate and user-desired display image quality adjustment has been an important research direction in the field of display technology.
Currently, some display image quality adjustment schemes exist in the market, such as common color management software and methods of brightness/contrast/hue (color temperature) control. However, there are some disadvantages to the method: the adjustment is complex: the user needs to have certain expertise and experience, and meanwhile, needs to accurately measure and calibrate each parameter, so that errors are easy to occur. The error is larger: because of human factors and equipment differences in the measuring and adjusting processes, certain errors often exist in the adjusting result. Inconsistency: due to the differences between different display products and different technical architectures, the adjustment results tend to be inconsistent.
Disclosure of Invention
The invention provides an image quality adjustment control method and a related device for a display, which are used for improving the accuracy of the image quality adjustment control of the display and improving the display image quality of the display.
The first aspect of the present invention provides an image quality adjustment control method for a display, the image quality adjustment control method for the display comprising:
acquiring display parameter information and display product attributes of a target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and performing image quality adjustment control through the plurality of first image quality adjustment modules;
performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment state data, and generating first display image quality information according to the image quality adjustment state data;
setting an optimal image quality evaluation index according to the display product attribute, and judging whether the first display image quality information accords with the optimal image quality evaluation index or not to obtain a judging result;
if the judging result is not in conformity, generating a second image quality adjustment parameter set through the first display image quality information, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set;
And performing image quality adjustment control on the target display through the at least one second image quality adjustment module, and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the obtaining display parameter information and display product attributes of the target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes, includes:
obtaining display parameter information of a target display based on a preset display calibration tool, wherein the display parameter information comprises: brightness, color, contrast, and gray balance parameters;
obtaining a display product attribute of the target display, wherein the display product attribute comprises: product specification and functional characteristics;
initializing the target display, and calculating a first image quality adjustment parameter set according to the display parameter information and the display product attribute, wherein the first image quality adjustment parameter set comprises: the numerical adjustment range of the plurality of image quality parameters.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the matching, according to the first image quality adjustment parameter set, a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly, and performing image quality adjustment control by the plurality of first image quality adjustment modules includes:
according to the first image quality adjustment parameter set, matching modules meeting parameter requirements from preset display image quality adjustment components to obtain a plurality of first image quality adjustment modules, wherein the plurality of first image quality adjustment modules comprise a color management module, a gray balance module and a contrast control module;
testing and calibrating each first image quality adjustment module to obtain a plurality of calibrated first image quality adjustment modules, and obtaining the priorities of the plurality of calibrated first image quality adjustment modules;
and respectively issuing working instructions to the plurality of first image quality adjustment modules according to the priorities so as to carry out image quality adjustment on the target display, and carrying out image quality adjustment control through the plurality of calibrated first image quality adjustment modules.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the performing image quality adjustment status feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment status data, and generating first display image quality information according to the image quality adjustment status data includes:
Respectively feeding back image quality adjustment states of the plurality of first image quality adjustment modules to obtain module parameter adjustment records corresponding to each first image quality adjustment module;
performing state data conversion on the module parameter adjustment record corresponding to each first image quality adjustment module to obtain image quality adjustment state data of each first image quality adjustment module;
and extracting a target parameter value in each image quality adjustment state data, and carrying out parameter integration on the target parameter value to obtain first display image quality information of the target display.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the setting an optimal image quality evaluation index according to the display product attribute, and determining whether the first display image quality information meets the optimal image quality evaluation index, to obtain a determination result, includes:
extracting image quality influence parameters from the display product attributes, wherein the image quality influence parameters comprise: resolution, screen size, color range, refresh rate, and brightness parameters;
determining an optimal image quality evaluation index of the target display according to the image quality influence parameter, wherein the optimal image quality evaluation index comprises: color uniformity, brightness uniformity, color gamut coverage, contrast, and gray balance;
Comparing the first display image quality information with the optimal image quality evaluation index, and judging whether the first display image quality information accords with the optimal image quality evaluation index or not to obtain a judging result, wherein the judging result comprises the following steps: either conforming or non-conforming.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, if the determination result is not met, generating a second image quality adjustment parameter set according to the first display image quality information, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set, where the method includes:
if the judging result is not in conformity, carrying out root cause analysis on the first display image quality information to obtain root abnormal information;
calculating a second image quality adjustment parameter set of the target display according to the root abnormality information, wherein the second image quality adjustment parameter set comprises adjustment values of a plurality of parameters;
determining at least one second image quality adjustment module from the display image quality adjustment assembly according to the second image quality adjustment parameter set, wherein the second image quality adjustment module comprises: enhance color, optimize contrast, and reduce noise.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the performing, by the at least one second image quality adjustment module, image quality adjustment control on the target display, and obtaining second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index includes:
loading the at least one second image quality adjustment module into a display image quality adjustment assembly, and performing image quality adjustment control on the target display through the at least one second image quality adjustment module;
monitoring the image quality of the target display to obtain second display image quality information of the target display;
judging whether the image quality information of the second display accords with an optimal evaluation index or not;
if yes, determining that the image quality of the target display is adjusted to an optimal state;
if the image quality information of the target display does not accord with the image quality information of the second display, determining parameters and values to be adjusted, and repeatedly performing image quality adjustment control on the target display until the image quality information of the second display accords with the optimal evaluation index is obtained.
A second aspect of the present invention provides an image quality adjustment control device for a display, the image quality adjustment control device for a display including:
The acquisition module is used for acquiring display parameter information and display product attributes of a target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
the matching module is used for matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and performing image quality adjustment control through the plurality of first image quality adjustment modules;
the feedback module is used for carrying out image quality adjustment state feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment state data, and generating first display image quality information according to the image quality adjustment state data;
the judging module is used for setting an optimal image quality evaluation index according to the display product attribute, judging whether the first display image quality information accords with the optimal image quality evaluation index, and obtaining a judging result;
the generating module is used for generating a second image quality adjustment parameter set through the first display image quality information if the judging result is not met, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set;
And the control module is used for performing image quality adjustment control on the target display through the at least one second image quality adjustment module, and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
A third aspect of the present invention provides an image quality adjustment control apparatus for a display, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the image quality adjustment control device of the display to execute the image quality adjustment control method of the display described above.
A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the above-described image quality adjustment control method of a display.
In the technical scheme provided by the invention, a plurality of first image quality adjustment modules are matched from a display image quality adjustment assembly according to a first image quality adjustment parameter set to carry out image quality adjustment control; performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to generate first display image quality information; setting an optimal image quality evaluation index, and judging whether the image quality information of the first display meets the optimal image quality evaluation index or not to obtain a judging result; if the judging result is not in conformity, generating a second image quality adjustment parameter set through the image quality information of the first display and determining at least one second image quality adjustment module; the invention can quickly calibrate the image quality of the target display by matching the preset first image quality calibration modules, thereby improving the calibration efficiency, automatically completing the image quality calibration control by a plurality of first image quality calibration modules, reducing manual intervention and misoperation, setting the optimal image quality evaluation index according to the product attribute of the display, calibrating according to an optimized scheme, ensuring the optimal display effect, generating a second image quality calibration parameter set and continuing to calibrate if the image quality information of the first display does not accord with the optimal image quality evaluation index, further improving the image quality calibration control accuracy of the display and the display image quality of the display.
Drawings
FIG. 1 is a diagram illustrating an embodiment of a method for controlling image quality adjustment of a display according to an embodiment of the present invention;
FIG. 2 is a flowchart of an embodiment of the image quality adjustment control according to the present invention;
FIG. 3 is a flowchart of the feedback of the image quality adjustment status in an embodiment of the present invention;
FIG. 4 is a flowchart of determining whether an optimal image quality evaluation index is met according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an embodiment of an apparatus for controlling image quality adjustment of a display according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an embodiment of an apparatus for controlling image quality adjustment of a display according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an image quality adjustment control method and a related device for a display, which are used for improving the accuracy of the image quality adjustment control of the display and improving the display image quality of the display. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For easy understanding, the following describes a specific flow of an embodiment of the present invention, referring to fig. 1, and an embodiment of a method for controlling image quality adjustment of a display according to an embodiment of the present invention includes:
s101, acquiring display parameter information and display product attributes of a target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
it should be understood that the execution subject of the present invention may be an image quality adjustment control device of a display, or may be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.
Specifically, the server first determines which display parameter information needs to be acquired, such as resolution, brightness, contrast, saturation, response time, etc. The parameter information is obtained by a control panel of the display or a display information tool provided by an operating system. For example, display parameter information is obtained by clicking on the desktop right button and selecting "display settings" and then clicking on "display properties" on Windows. It should be noted that, besides directly obtaining the parameter information of the display, the product attribute of the display, such as the product model, specification, characteristics, etc., may also be obtained by querying the product specification of the display or the official website thereof. For example, searching a display in a browser will list its product attributes including product model, size, resolution, brightness, color gamut, response time, etc. And formulating a first image quality adjustment parameter set according to the acquired display parameter information and the product attribute. The first image quality adjustment is usually optimized during the manufacture and assembly of the device, and is mainly used for ensuring that the device can operate normally and meeting the most basic requirements of users. The first image quality adjustment parameters typically include brightness, contrast, color temperature, etc., which can be adjusted in a display control panel or in a display setting tool provided by the operating system. For example, brightness, contrast, and color temperature are adjusted on Windows by "display properties" in the "display settings" page. In the step of the present invention, it is assumed that a first image quality adjustment is performed on a display. First, it is necessary to obtain parameter information of the display, including resolution, brightness, contrast, saturation, response time, etc. The product specification of the display or its official website is then queried for product attributes such as product model and specification, etc. Further, a first image quality adjustment parameter set is formulated, including parameters such as brightness, contrast, color temperature, and the like. The brightness is adjusted to a suitable level to ensure a proper use environment of the brightness level, and it is necessary to ensure the maximum difference between black and white for the contrast ratio in order to obtain the best visual effect. For color temperature, it is adjusted to a suitable level to ensure color rendition naturalness, optimal visual effect and user experience.
S102, matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to a first image quality adjustment parameter set, and performing image quality adjustment control through the plurality of first image quality adjustment modules;
specifically, the server first determines which first image quality adjustment modules are available for selection and how to select and match them. The optional first image quality adjustment module may include a plurality of parameters such as color temperature, brightness, contrast, color, and the like, and the first image quality adjustment parameter set may be matched using a predetermined rule or algorithm. For example, in display products of the same manufacturer, a matching rule is formulated to select a first image quality adjustment module that is best in matching, and a plurality of first image quality adjustment modules are selected to perform image quality adjustment control based on the matching result. And according to the number and characteristics of the matched first image quality adjusting modules, reasonably combining the first image quality adjusting modules for adjustment so as to obtain the optimal image quality effect. For example, if a display needs to perform color and contrast adjustment, two first image quality adjustment modules are selected for color and contrast adjustment, and corresponding adjustment is performed for different matching results. After a plurality of first image quality adjustment modules are selected, the image quality adjustment control is performed on the equipment through the modules. The process of image quality adjustment requires constant experimentation and adjustment in order to obtain the best visual effect and user experience. By adjusting the parameters of each first image quality adjusting module and the relation between the parameters, an optimal image quality effect is obtained. For example, the color and contrast are fine-tuned according to the selected adjustment module to achieve the best image quality effect, for example, if the image quality of a display is to be adjusted, first, a plurality of first image quality adjustment modules need to be matched in a preset display image quality adjustment module according to a first image quality adjustment parameter set of the device. Furthermore, two first image quality adjustment modules are selected, one for color adjustment and one for contrast adjustment. Then, the two first image quality adjustment modules are adopted to carry out image quality adjustment control on the equipment according to the actual matching effect. The parameters of the two first image quality adjustment modules can be continuously adjusted so as to obtain the best image quality effect. For example, the basic tone scale is initially adjusted according to the adjustment module, such as red, green, and blue. When the contrast is adjusted, the adjustment is carried out according to the scene displayed by the screen so as to achieve proper picture effect.
S103, performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment state data, and generating first display image quality information according to the image quality adjustment state data;
it should be noted that, first, image quality adjustment status feedback is performed on the plurality of first image quality adjustment modules, so as to understand the status and effect of each adjustment module. The feedback process may be accomplished by monitoring device status data (e.g., brightness, color, contrast, etc.) in real time and comparing with preset calibration standards. The feedback process should be performed periodically so as to know the operation condition of the device in time and adjust in time, and obtain a series of image quality adjustment status data (such as brightness, color, contrast, etc.) according to the image quality adjustment status feedback. These data may be used to generate an image quality adjustment status report including information about the current device's adjustment, adjustment effects, etc. The report generation process can be completed through data analysis or manual evaluation, and the first display image quality information including the information of the optimal image quality effect, the optimal configuration of equipment and the like is generated according to the image quality adjustment state data. This information may be used to reference future device designs and adjustments. For example, if a display needs brightness and contrast adjustment, the first display image quality information may be generated according to the result of the previous adjustment and the image quality adjustment status data, so as to achieve the expected effect more quickly and accurately in the subsequent device adjustment process. For example, assume that an image quality adjustment is performed for one type of display. Firstly, a plurality of first image quality adjusting modules are used for adjusting, and then the adjusting state is fed back so as to know the state and effect of each adjusting module. If the brightness adjustment is performed according to the standard level on the theoretical basis, the actual effect of the brightness adjustment can be judged by comparing the brightness adjustment with the standard level. This process requires constant experimentation and adjustment in order to obtain the best visual effect and user experience. And then analyzing the data obtained by feedback, and generating an image quality adjustment state report and first display image quality information by using the data analysis result.
S104, setting an optimal image quality evaluation index according to the display product attribute, and judging whether the image quality information of the first display meets the optimal image quality evaluation index or not to obtain a judging result;
specifically, first, the properties of the display product are evaluated, and an optimal image quality evaluation index is set according to the characteristics, specifications, performances and other factors of the display product. The evaluation process may take into account the effect of the device in different usage scenarios, e.g. in games, entertainment, work etc. in evaluating the properties of the display product it is necessary to determine which factors are most critical and important, e.g. brightness, contrast, color, response time etc. Then, an optimal image quality evaluation index can be customized according to the key factors. According to the optimal image quality evaluation index, the image quality information of the first display can be compared with the index to judge whether the image quality information meets the evaluation standard or not. If the image quality information can not meet the optimal image quality evaluation index, further adjustment and optimization are needed, and finally, a judging result is obtained according to the comparison result of the image quality information of the first display and the optimal image quality evaluation index. This process may be accomplished by data analysis and manual evaluation. If the image quality information of the display meets the optimal image quality evaluation index, the image quality information of the display can be regarded as meeting the requirements; if not, further adjustments and optimizations are required. For example, assume a display is to be evaluated and adjusted, and first, an evaluation of properties of the display product, such as performance, specifications, characteristics, etc., is performed. Then, an optimal image quality evaluation index is customized according to key factors such as color, brightness, response time and the like. Further, the first display image quality information such as brightness, contrast, saturation, etc. is evaluated and compared with the optimal image quality evaluation index. The comparison result reflects the existing state of the equipment image quality and the difficulty of the reconstruction work. If the image quality information can meet the optimal image quality evaluation index, it can be regarded as having met the standard; if the image quality information is not satisfactory, the above adjustment and optimization are required. For example, the color and brightness parameters may be adjusted according to the feedback data so that the image quality meets the optimal image quality evaluation index.
S105, if the judging result is not met, generating a second image quality adjustment parameter set through the image quality information of the first display, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set;
specifically, if the first display image quality information fails to meet the optimal image quality evaluation index, a second image quality adjustment process is required. The second image quality adjustment parameter set may be generated according to the first image quality adjustment parameter set, and may include factors such as color temperature, brightness, contrast, color, and the like. The process can refer to the previous design experience and the previously realized image quality adjustment technology, and the adjustment module is determined according to the second image quality adjustment parameter set: according to the second image quality adjustment parameter set, at least one second image quality adjustment module can be determined to perform image quality adjustment on the equipment. In order to determine the best matching tuning module, a predetermined rule or algorithm is required to match and filter before the tuning module is determined. For example, an optimal adjustment module may be selected according to factors such as the size, resolution, and basic parameters of the apparatus, and the second image quality adjustment may be performed according to the selected second image quality adjustment module. The parameters of each module and the relation between the parameters can be adjusted to obtain the best image quality effect. The adjustment process needs to be continuously tested and adjusted in order to obtain the best visual effect and user experience, e.g. assuming that a second image quality adjustment is to be made to one display. First, a second set of image quality adjustment parameters, such as color, brightness, contrast, etc., is generated from the first display image quality information. And then screening out at least one matched adjusting module by a preset rule or algorithm. For example, a color adjustment module and a brightness adjustment module can be selected, and parameters of the modules can be adjusted according to actual display conditions of the screen so as to achieve the best image quality effect. The adjustment process involves data analysis and user evaluation to ensure that the results meet expectations.
S106, performing image quality adjustment control on the target display through at least one second image quality adjustment module, and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
Specifically, according to the second image quality adjustment parameter set and the optimal image quality evaluation index, an image quality adjustment policy may be determined, for example, by adjusting color parameters, brightness, contrast, and the like to optimize the display effect. When the adjustment strategy is formulated, the influence relation among different parameters and the image quality standards in different scenes are considered. According to the determined adjustment strategy, one or more adjustment modules can be selected to perform image quality adjustment control on the target display. And the functions, performance, matching degree and other factors of the adjustment modules are considered when the adjustment modules are selected. For example, for color adjustment, a color aligner, colorimeter, etc. may be considered to help make the adjustment more accurate. And according to the selected second image quality adjustment module, performing image quality adjustment on the target equipment. In the adjustment process, each parameter needs to be adjusted and optimized step by step so as to achieve the best image quality effect. In the adjustment process, the image quality parameters can be adjusted in real time according to daily use conditions, user feedback and the like so as to meet the requirements of different users in different scenes, and along with the gradual progress of image quality adjustment, the image quality information of the second display is required to be continuously acquired so as to check whether the image quality information meets the optimal image quality evaluation index. The process of obtaining the image quality information can be completed by means of equipment state monitoring, data analysis and the like. For example, parameters such as brightness, color, contrast and the like can be measured to know the adjustment effect, and the adjustment effect is fed back to the adjustment process in time, so that the adjustment strategy is adjusted and optimized according to the acquired image quality information of the second display, and a better image quality effect is obtained. The adjusting and optimizing process can be repeated until the image quality information of the second display meets the optimal image quality evaluation index, so as to achieve the most satisfactory visual effect of the user.
For example, a second image quality adjustment is performed on a display of one type. First, according to the optimal image quality evaluation index, an adjustment strategy, such as adjustment of brightness and color parameters, is determined. Then, the colorimeter is selected as a regulating module to regulate the image quality of the target display. In the adjustment process, the parameters of each parameter adjuster are continuously adjusted, such as the parameters of brightness and color, so as to achieve the best visual effect. In the adjusting process, the second display image quality information of the target display is obtained at the same time so as to check whether the adjusting effect accords with the expectation. If the image quality information does not meet the requirements, adjustment and optimization are needed according to the acquired data until the image quality meets the optimal image quality evaluation index.
In the embodiment of the invention, according to the first image quality adjustment parameter set, a plurality of first image quality adjustment modules are matched from the display image quality adjustment assembly to carry out image quality adjustment control; performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to generate first display image quality information; setting an optimal image quality evaluation index, and judging whether the image quality information of the first display meets the optimal image quality evaluation index or not to obtain a judging result; if the judging result is not in conformity, generating a second image quality adjustment parameter set through the image quality information of the first display and determining at least one second image quality adjustment module; the invention can quickly calibrate the image quality of the target display by matching the preset first image quality calibration modules, thereby improving the calibration efficiency, automatically completing the image quality calibration control by a plurality of first image quality calibration modules, reducing manual intervention and misoperation, setting the optimal image quality evaluation index according to the product attribute of the display, calibrating according to an optimized scheme, ensuring the optimal display effect, generating a second image quality calibration parameter set and continuing to calibrate if the image quality information of the first display does not accord with the optimal image quality evaluation index, further improving the image quality calibration control accuracy of the display and the display image quality of the display.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Obtaining display parameter information of a target display based on a preset display calibration tool, wherein the display parameter information comprises: brightness, color, contrast, and gray balance parameters;
(2) Obtaining display product attributes of the target display, wherein the display product attributes include: product specification and functional characteristics;
(3) Initializing a target display, and calculating a first image quality adjustment parameter set according to display parameter information and display product attributes, wherein the first image quality adjustment parameter set comprises: the numerical adjustment range of the plurality of image quality parameters.
Specifically, the server first prepares a display calibration tool to obtain parameter information of the target display. The tool can acquire the parameter information of the first display by measuring parameters such as brightness, color, contrast and the like of the reflection light of the screen, and acquire the product attributes of the display, such as product specification, size, resolution, color gamut, response time, brightness and the like of the target display after acquiring the display parameter information of the target display. The attribute information has important significance for calculating the first image quality adjustment parameter set, and furthermore, the target display is initialized. This process may be accomplished by display management software or other related tools. In the setting process, it is necessary to consider characteristics of the device such as resolution, brightness, contrast, etc., and specifications and functions contained in product attributes. This process is intended to provide good basic conditions for subsequent tuning operations, and after the target display has been initialized, the first set of image quality tuning parameters may be calculated based on its display parameter information and product attributes. The set includes a set of image quality parameter adjustment ranges, for example, assuming a first image quality adjustment is to be performed on a display. Firstly, a preset display calibration tool is selected for acquiring parameter information of a target display, such as brightness, color, contrast ratio, gray balance parameters and the like. According to the parameter information, extremum, step length, variable range, adjustment parameters and the like of the display can be enumerated, so that the subsequent calculation of the first image quality adjustment parameter set is convenient. Next, a first product attribute of the target display, such as size or resolution, is obtained and a fine setting is made based on a rough estimate thereof. Finally, a first image quality adjustment parameter set is obtained through calculation through the information, so that parameters can be accurately and intelligently adjusted in subsequent image quality adjustment, and the target display can meet the optimal image quality evaluation index.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, according to a first image quality adjustment parameter set, matching modules meeting parameter requirements from preset display image quality adjustment components to obtain a plurality of first image quality adjustment modules, wherein the plurality of first image quality adjustment modules comprise a color management module, a gray balance module and a contrast control module;
s202, testing and calibrating each first image quality adjustment module to obtain a plurality of calibrated first image quality adjustment modules, and obtaining the priorities of the plurality of calibrated first image quality adjustment modules;
and S203, respectively issuing working instructions to the plurality of first image quality adjustment modules according to the priorities so as to adjust the image quality of the target display, and performing image quality adjustment control through the plurality of calibrated first image quality adjustment modules.
Specifically, the server matches a module meeting the requirements from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set. The modules include a color management module, a gray balance module, a contrast control module, and the like, and each of the first image quality adjustment modules is tested and calibrated to ensure that they can work properly and properly calibrate the display image quality. These tests and calibrations may involve basic calibration, calibration return and interference prevention steps, and require the results to be identified and verified according to the actual situation, and also require the acquisition of priorities of a plurality of calibrated first image quality calibration modules. These priorities may be affected by various factors such as stability, tuning efficiency, accuracy and applicability of the module, etc. The priorities can be obtained for making more reasonable and optimized decisions on the selection and the use of the modules in the subsequent image quality adjustment work, and working instructions are issued to a plurality of first image quality adjustment modules so as to adjust and control the image quality of the target display. It is also necessary to confirm the quality level by constant calibration and optimization and to select and apply the modules according to the target image quality requirements and the module performance. For example, assume that an image quality adjustment is to be performed for one type of display. First, according to the first image quality adjustment parameter set, a module meeting parameter requirements is matched from preset display image quality adjustment components, for example, a brightness control module is selected when brightness is adjusted, and a color management module is selected when color is adjusted. Then, each first image quality adjusting module is tested and calibrated to ensure that the first image quality adjusting module can work normally and correct the image quality of the display in actual operation. The priorities of the plurality of calibrated first image quality adjustment modules are also required to be obtained, so that the most suitable module is selected to achieve the ideal image quality effect.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, respectively carrying out image quality adjustment state feedback on a plurality of first image quality adjustment modules to obtain module parameter adjustment records corresponding to each first image quality adjustment module;
s302, performing state data conversion on module parameter adjustment records corresponding to each first image quality adjustment module to obtain image quality adjustment state data of each first image quality adjustment module;
s303, extracting target parameter values in each image quality adjustment state data, and carrying out parameter integration on the target parameter values to obtain first display image quality information of the target display.
Specifically, the server performs image quality adjustment status feedback on the plurality of first image quality adjustment modules to obtain module parameter adjustment records corresponding to each module. The records may include information such as a working state, a calibration parameter value, an optimization degree of each module, and the state data of the module calibration records corresponding to each first image quality calibration module is converted to obtain image quality calibration state data of each module. The data may include information such as brightness, color, contrast, gray balance, etc. parameter values and corresponding actual working states thereof, and the target parameter values in each image quality adjustment state data are extracted and integrated to obtain the first display image quality information of the target display. For example, assuming that an image quality adjustment is performed on a display, a status feedback may be performed on each first image quality adjustment module to obtain a parameter adjustment record of each module. The records contain the information of the working state, the adjustment parameter value and the optimization degree of each module. And then, carrying out state data conversion on the parameter adjustment record of each module, and converting the adjustment parameter value into state data which is easy to analyze and compare. Finally, extracting and integrating the target parameter values, such as brightness, color, contrast and the like, in each image quality adjustment state data, and performing calculation and integration processing to obtain the first display image quality information of the target display.
In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:
s401, extracting image quality influence parameters from display product attributes, wherein the image quality influence parameters comprise: resolution, screen size, color range, refresh rate, and brightness parameters;
s402, determining an optimal image quality evaluation index of the target display according to the image quality influence parameters, wherein the optimal image quality evaluation index comprises: color uniformity, brightness uniformity, color gamut coverage, contrast, and gray balance;
s403, comparing the first display image quality information with the optimal image quality evaluation index, and judging whether the first display image quality information meets the optimal image quality evaluation index or not to obtain a judging result, wherein the judging result comprises: either conforming or non-conforming.
Specifically, the server extracts image quality influencing parameters from the display product attributes, including resolution, screen size, color range, refresh rate, and brightness parameters, etc. These parameters have a direct or indirect effect on the image quality of the display. For example, resolution and screen size may affect the detail display of an image by a display; the color gamut and the color range can influence the accurate restoration of the display to the color, and the optimal image quality evaluation index of the target display is determined according to the image quality influence parameters. For example, consider color error and Gamma values, etc. when determining color uniformity evaluation indicators; in determining the brightness uniformity evaluation index, a brightness uniformity curve or the like is considered. And comparing the image quality information of the first display with the optimal image quality evaluation index to judge whether the image quality meets the requirement. For example: for a display, the product attribute can extract parameters such as 1920X1080 resolution, 27 inches screen size, 72% color range NTSC, 75Hz refresh rate and 350cd/m2 brightness parameter, and then based on these image quality influencing parameters, the optimal image quality evaluation index can be determined: color uniformity, brightness uniformity, color gamut coverage, contrast, gray balance, and so forth. Further, the image quality information of the first display and the optimum image quality evaluation index can be compared to evaluate whether or not they meet the requirements, for example, whether or not there is uneven brightness and color, whether or not there is a wide color gamut, a high contrast, and the like.
In a specific embodiment, the process of executing step S105 may specifically include the following steps:
(1) If the judging result is not in conformity, carrying out root cause analysis on the image quality information of the first display to obtain root abnormal information;
(2) Calculating a second image quality adjustment parameter set of the target display according to the root abnormal information, wherein the second image quality adjustment parameter set comprises adjustment values of a plurality of parameters;
(3) Determining at least one second image quality adjustment module from the display image quality adjustment assembly according to the second image quality adjustment parameter set, wherein the second image quality adjustment module comprises: enhance color, optimize contrast, and reduce noise.
Specifically, when the image quality information of the first display does not accord with the optimal image quality evaluation index, that is, the judging result is not accord with the optimal image quality evaluation index, root cause analysis is performed to determine root abnormal information, and after the problem is determined according to the root abnormal information, a second image quality adjustment parameter set of the target display is calculated according to the root abnormal information. The process requires processing and calculating the root anomaly information to determine adjustment parameters and adjustment values, and after determining a second set of image quality adjustment parameters for the target display, selecting at least one second image quality adjustment module from the display image quality adjustment assembly to optimally adjust the second set of image quality adjustment parameters. The second image quality adjustment module commonly used includes color enhancement, contrast optimization, noise reduction, etc. For example, when the image quality of one display is adjusted, the above steps are performed, the image quality evaluation result of the first display is firstly determined, if the result is not consistent, the step of root cause analysis is performed, and abnormal conditions of each part of the display are analyzed, for example, filament aging, display chip damage, poor contact of a circuit board and the like may exist. According to the root abnormal information, a second image quality adjustment parameter set of the target display can be calculated, for example, parameters such as brightness, contrast, saturation and the like can be adjusted, so that an ideal adjustment effect can be achieved. Then, according to these parameter sets, a second different image quality adjustment module may be selected, for example, an enhanced color module, an optimized contrast module, or a noise reduction module may be considered, and further adjustment optimization may be performed on the display until the final evaluation criterion is reached.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) Loading at least one second image quality adjustment module into the display image quality adjustment assembly, and performing image quality adjustment control on the target display through the at least one second image quality adjustment module;
(2) Monitoring the image quality of the target display to obtain second display image quality information of the target display;
(3) Judging whether the image quality information of the second display accords with an optimal evaluation index;
(4) If yes, determining that the image quality of the target display is adjusted to an optimal state;
(5) If the image quality information of the target display does not meet the image quality information of the second display, determining parameters and values to be adjusted, and repeatedly performing image quality adjustment control on the target display until the image quality information of the second display meeting the optimal evaluation index is obtained.
In particular, the method comprises the steps of,
the method for controlling the image quality adjustment of the display according to the embodiment of the present invention is described above, and the apparatus for controlling the image quality adjustment of the display according to the embodiment of the present invention is described below, referring to fig. 5, an embodiment of the apparatus for controlling the image quality adjustment of the display according to the embodiment of the present invention includes:
an obtaining module 501, configured to obtain display parameter information and display product attributes of a target display, and create a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
A matching module 502, configured to match a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and perform image quality adjustment control through the plurality of first image quality adjustment modules;
a feedback module 503, configured to perform image quality adjustment status feedback on the plurality of first image quality adjustment modules, obtain image quality adjustment status data, and generate first display image quality information according to the image quality adjustment status data;
a judging module 504, configured to set an optimal image quality evaluation index according to the display product attribute, and judge whether the first display image quality information meets the optimal image quality evaluation index, so as to obtain a judging result;
a generating module 505, configured to generate a second image quality adjustment parameter set according to the first display image quality information if the determination result is not met, and determine at least one second image quality adjustment module according to the second image quality adjustment parameter set;
and a control module 506, configured to perform image quality adjustment control on the target display by using the at least one second image quality adjustment module, and obtain second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
Matching a plurality of first image quality adjustment modules from the display image quality adjustment assembly according to the first image quality adjustment parameter set through the cooperative cooperation of the components so as to perform image quality adjustment control; performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to generate first display image quality information; setting an optimal image quality evaluation index, and judging whether the image quality information of the first display meets the optimal image quality evaluation index or not to obtain a judging result; if the judging result is not in conformity, generating a second image quality adjustment parameter set through the image quality information of the first display and determining at least one second image quality adjustment module; the invention can quickly calibrate the image quality of the target display by matching the preset first image quality calibration modules, thereby improving the calibration efficiency, automatically completing the image quality calibration control by a plurality of first image quality calibration modules, reducing manual intervention and misoperation, setting the optimal image quality evaluation index according to the product attribute of the display, calibrating according to an optimized scheme, ensuring the optimal display effect, generating a second image quality calibration parameter set and continuing to calibrate if the image quality information of the first display does not accord with the optimal image quality evaluation index, further improving the image quality calibration control accuracy of the display and the display image quality of the display.
Fig. 5 above describes the image quality adjustment control device of the display in the embodiment of the present invention in detail from the viewpoint of the modularized functional entity, and the image quality adjustment control apparatus of the display in the embodiment of the present invention is described in detail from the viewpoint of hardware processing.
Fig. 6 is a schematic structural diagram of an image quality adjustment control device for a display according to an embodiment of the present invention, where the image quality adjustment control device 600 for a display may have relatively large differences according to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the image quality adjustment control apparatus 600 for a display. Still further, the processor 610 may be configured to communicate with the storage medium 630 and execute a series of instruction operations in the storage medium 630 on the image quality adjustment control apparatus 600 of the display.
The display quality adjustment control device 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as Windows Serve, macOS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the configuration of the image quality adjustment control apparatus for a display shown in fig. 6 does not constitute a limitation of the image quality adjustment control apparatus for a display, and may include more or less components than those illustrated, or may combine some components, or may be a different arrangement of components.
The present invention also provides an image quality adjustment control apparatus for a display, which includes a memory and a processor, wherein the memory stores computer readable instructions that, when executed by the processor, cause the processor to execute the steps of the image quality adjustment control method for a display in the above embodiments.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, or may be a volatile computer readable storage medium, in which instructions are stored, which when executed on a computer, cause the computer to perform the steps of the image quality adjustment control method of a display.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (randomacceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; and the modification and replacement do not make the essence of the corresponding technical scheme deviate from the spirit and scope of the technical scheme of each embodiment of the invention.
Claims (10)
1. An image quality adjustment control method for a display is characterized in that the image quality adjustment control method for the display comprises the following steps:
acquiring display parameter information and display product attributes of a target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and performing image quality adjustment control through the plurality of first image quality adjustment modules;
performing image quality adjustment state feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment state data, and generating first display image quality information according to the image quality adjustment state data;
Setting an optimal image quality evaluation index according to the display product attribute, and judging whether the first display image quality information accords with the optimal image quality evaluation index or not to obtain a judging result;
if the judging result is not in conformity, generating a second image quality adjustment parameter set through the first display image quality information, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set;
and performing image quality adjustment control on the target display through the at least one second image quality adjustment module, and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
2. The method according to claim 1, wherein the acquiring the display parameter information and the display product attribute of the target display and creating the first image quality adjustment parameter set according to the display parameter information and the display product attribute includes:
obtaining display parameter information of a target display based on a preset display calibration tool, wherein the display parameter information comprises: brightness, color, contrast, and gray balance parameters;
Obtaining a display product attribute of the target display, wherein the display product attribute comprises: product specification and functional characteristics;
initializing the target display, and calculating a first image quality adjustment parameter set according to the display parameter information and the display product attribute, wherein the first image quality adjustment parameter set comprises: the numerical adjustment range of the plurality of image quality parameters.
3. The method according to claim 1, wherein the matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and performing image quality adjustment control by the plurality of first image quality adjustment modules, comprises:
according to the first image quality adjustment parameter set, matching modules meeting parameter requirements from preset display image quality adjustment components to obtain a plurality of first image quality adjustment modules, wherein the plurality of first image quality adjustment modules comprise a color management module, a gray balance module and a contrast control module;
testing and calibrating each first image quality adjustment module to obtain a plurality of calibrated first image quality adjustment modules, and obtaining the priorities of the plurality of calibrated first image quality adjustment modules;
And respectively issuing working instructions to the plurality of first image quality adjustment modules according to the priorities so as to carry out image quality adjustment on the target display, and carrying out image quality adjustment control through the plurality of calibrated first image quality adjustment modules.
4. The method according to claim 1, wherein the performing image quality adjustment status feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment status data, and generating first display image quality information according to the image quality adjustment status data, comprises:
respectively feeding back image quality adjustment states of the plurality of first image quality adjustment modules to obtain module parameter adjustment records corresponding to each first image quality adjustment module;
performing state data conversion on the module parameter adjustment record corresponding to each first image quality adjustment module to obtain image quality adjustment state data of each first image quality adjustment module;
and extracting a target parameter value in each image quality adjustment state data, and carrying out parameter integration on the target parameter value to obtain first display image quality information of the target display.
5. The method according to claim 1, wherein the setting an optimal image quality evaluation index according to the display product attribute, and determining whether the first display image quality information meets the optimal image quality evaluation index, and obtaining a determination result, includes:
Extracting image quality influence parameters from the display product attributes, wherein the image quality influence parameters comprise: resolution, screen size, color range, refresh rate, and brightness parameters;
determining an optimal image quality evaluation index of the target display according to the image quality influence parameter, wherein the optimal image quality evaluation index comprises: color uniformity, brightness uniformity, color gamut coverage, contrast, and gray balance;
comparing the first display image quality information with the optimal image quality evaluation index, and judging whether the first display image quality information accords with the optimal image quality evaluation index or not to obtain a judging result, wherein the judging result comprises the following steps: either conforming or non-conforming.
6. The method according to claim 1, wherein if the determination result is not met, generating a second image quality adjustment parameter set from the first display image quality information, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set, comprising:
if the judging result is not in conformity, carrying out root cause analysis on the first display image quality information to obtain root abnormal information;
Calculating a second image quality adjustment parameter set of the target display according to the root abnormality information, wherein the second image quality adjustment parameter set comprises adjustment values of a plurality of parameters;
determining at least one second image quality adjustment module from the display image quality adjustment assembly according to the second image quality adjustment parameter set, wherein the second image quality adjustment module comprises: enhance color, optimize contrast, and reduce noise.
7. The method according to claim 1, wherein the performing, by the at least one second image quality adjustment module, image quality adjustment control on the target display and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index, comprises:
loading the at least one second image quality adjustment module into a display image quality adjustment assembly, and performing image quality adjustment control on the target display through the at least one second image quality adjustment module;
monitoring the image quality of the target display to obtain second display image quality information of the target display;
Judging whether the image quality information of the second display accords with an optimal evaluation index or not;
if yes, determining that the image quality of the target display is adjusted to an optimal state;
if the image quality information of the target display does not accord with the image quality information of the second display, determining parameters and values to be adjusted, and repeatedly performing image quality adjustment control on the target display until the image quality information of the second display accords with the optimal evaluation index is obtained.
8. An image quality adjustment control device for a display, the image quality adjustment control device comprising:
the acquisition module is used for acquiring display parameter information and display product attributes of a target display, and creating a first image quality adjustment parameter set according to the display parameter information and the display product attributes;
the matching module is used for matching a plurality of first image quality adjustment modules from a preset display image quality adjustment assembly according to the first image quality adjustment parameter set, and performing image quality adjustment control through the plurality of first image quality adjustment modules;
the feedback module is used for carrying out image quality adjustment state feedback on the plurality of first image quality adjustment modules to obtain image quality adjustment state data, and generating first display image quality information according to the image quality adjustment state data;
The judging module is used for setting an optimal image quality evaluation index according to the display product attribute, judging whether the first display image quality information accords with the optimal image quality evaluation index, and obtaining a judging result;
the generating module is used for generating a second image quality adjustment parameter set through the first display image quality information if the judging result is not met, and determining at least one second image quality adjustment module according to the second image quality adjustment parameter set;
and the control module is used for performing image quality adjustment control on the target display through the at least one second image quality adjustment module, and acquiring second display image quality information of the target display until the second display image quality information meets the optimal image quality evaluation index.
9. An image quality adjustment control apparatus of a display, characterized in that the image quality adjustment control apparatus of a display includes: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the image quality adjustment control device of the display to perform the image quality adjustment control method of the display according to any one of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, which when executed by a processor, implement the image quality adjustment control method of a display according to any one of claims 1 to 7.
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