Remote imaging display control method for improving vision

Abstract

The invention discloses a remote imaging display control method for improving vision, and particularly relates to the technical field of optical imaging, which comprises the following steps: S1, imaging area determination: determining data in a target display as a target imaging area, dividing the target imaging area into sub-areas according to an equitime division mode, and sequentially numbering the sub-areas in the imaging area as 1, 2,..., i,..., n; s2, data acquisition: acquiring optical imaging data and vision adaptation data of the target imaging area; the optical imaging data and the vision adaptation data are analyzed and processed in real time at the same time, a dynamic vision protection mechanism is provided, the display effect of the image is emphasized, protection on the vision of the user is fully considered, and the vision improvement effect is improved.

Description

Technical Field

[0001] The present invention relates to the field of optical imaging technology, and more particularly to a method for controlling a long-distance imaging display for improving vision. Background Art

[0002] With the accelerated pace of modern life and the widespread use of electronic devices, people use monitors for a long time for work, study, and entertainment, resulting in increasingly serious problems of eye fatigue and myopia; therefore, it is necessary to develop a new type of display long-distance imaging system to improve the above situation.

[0003] The traditional imaging control method includes a signal processing module, a display module and a control module; the signal processing module is responsible for receiving image signals from a computer or other signal source and converting them into a format that the display can understand; the display module is responsible for converting electrical signals into visual images; the control module is responsible for receiving user operation instructions and controlling each module to make corresponding adjustments.

[0004] However, there are still some shortcomings in actual use, such as the lack of vision protection mechanism. Traditional displays usually do not have a built-in vision protection mechanism and only focus on the image display effect, while ignoring the protection of the user's eyesight; the application scenarios are limited. Traditional displays are usually suitable for close viewing, and their application scenarios are relatively limited; the degree of intelligence is low. Traditional displays do not have intelligent adjustment functions and cannot adjust display parameters in real time according to the user's viewing situation.

[0005] Therefore, there is an urgent need to provide a long-distance imaging display control method for improving vision, so as to solve the problems of existing imaging control methods lacking a vision protection mechanism, limited application scenarios and low intelligence. Summary of the invention

[0006] In order to overcome the above defects of the prior art, an embodiment of the present invention provides a remote imaging display control method for improving vision, and solves the problems raised in the above background technology through the following scheme.

[0007] To achieve the above object, the present invention provides the following technical solution: a remote imaging display control method for improving vision, comprising: S1, determining the imaging area, for determining the data in the target display as the target imaging area, and dividing it into sub-areas according to an equal time division method, and numbering the sub-areas in the imaging area as 1, 2, ..., i, ..., n in sequence; S2, data acquisition, used to obtain optical imaging data and vision adaptation data of the target imaging area; S3, optical imaging data processing, for analyzing and processing the optical imaging data obtained in S2 to obtain the display physical property influence coefficient, the ambient light data influence coefficient and the lens optical property data influence coefficient; S4, vision adaptation data processing, for analyzing and processing the vision adaptation data obtained in S2 to obtain the vision correction data influence coefficient and the visual perception data influence coefficient; S5. Comprehensive data analysis, importing the display physical property influence coefficient value, ambient light data influence coefficient value, lens optical property data influence coefficient value, vision correction data influence coefficient value and visual perception data influence coefficient value obtained in S3 and S4 into the imaging mode rationality index mathematical model to obtain the imaging mode rationality index value; S6, imaging mode judgment, comparing the imaging mode rationality index value obtained in S5 with the preset imaging mode rationality index values ​​under multiple standards, calculating the minimum value of the difference between the imaging mode rationality index value and the preset imaging mode rationality index values ​​under multiple standards, when the minimum value in the difference value is less than the preset difference threshold, the judgment result is that the imaging mode is normal, when the minimum value in the difference value is greater than the preset difference threshold, the judgment result is that the imaging mode is abnormal; S7, imaging feedback, when the judgment result is that the imaging mode is abnormal, the data in the target imaging area is adjusted to the next standard according to the difference value obtained in S6, and the imaging mode is remotely adjusted according to this standard, and then the data is re-collected and transmitted to the data collection step; S8, human-computer interaction, transmits the obtained difference value, judgment result and data in the target imaging area to the user information terminal, and provides reference data for the user to make adjustment measures.

[0008] Preferably, the optical imaging data include parameters influencing display physical characteristics, parameters influencing ambient lighting data, and parameters influencing lens optical characteristics data; the vision adaptation data include parameters influencing vision correction data and parameters influencing visual perception data.

[0009] Preferably, the parameters affecting the physical characteristics of the display include the pixel pitch of the display, denoted as d; the contrast of the display, denoted as CR; the resolution of the display, denoted as R; the refresh rate of the display, denoted as FR; the brightness of the display, denoted as L; the parameters affecting the ambient light data include the brightness of the ambient light, denoted as I; the color temperature of the ambient light, denoted as T; the contrast of the ambient light, denoted as C; the flicker frequency of the ambient light, denoted as F; the parameters affecting the optical characteristic data of the lens include the focal length of the lens, denoted as f; the aperture number of the lens, denoted as N; the distortion coefficient of the lens, denoted as D; the optical transmittance of the lens, denoted as Q; the parameters affecting the vision correction data include the equivalent spherical degree of myopia, denoted as M; the equivalent spherical degree of hyperopia, denoted as H; the axis of binocular astigmatism, denoted as A; the interpupillary distance between the binoculars, denoted as P; the amplitude of eye adjustment, denoted as r; the visual perception data include the viewing time, denoted as t1; the viewing rest time, denoted as t2; the blue light filtering efficiency, denoted as η; and the viewing distance, denoted as l.

[0010] Preferably, the optical imaging data processing step includes a step of calculating a coefficient of influence of display physical characteristics, a step of calculating a coefficient of influence of ambient lighting data, and a step of calculating a coefficient of influence of lens optical characteristic data.

[0011] Preferably, the display physical property influence coefficient calculation step is used to import the display physical property influence parameters into the display physical property influence coefficient mathematical model to obtain the display physical property influence coefficient value; the ambient lighting data influence coefficient calculation step is used to import the ambient lighting data influence parameters into the ambient lighting data influence coefficient mathematical model to obtain the ambient lighting data influence coefficient value; the lens optical property data influence coefficient calculation step is used to import the lens optical property data influence parameters into the lens optical property data influence coefficient mathematical model to obtain the lens optical property data influence coefficient value.

[0012] Preferably, the mathematical model of the influence coefficient of the display physical characteristics is specifically: , The mathematical model of the influence coefficient of ambient light data is as follows: , The mathematical model of the influence coefficient of lens optical characteristic data is as follows: , CR i Indicates the display contrast in the i-th time period; FR i represents the refresh rate of the display in the i-th time period; L i represents the display brightness in the i-th time period, L min Indicates the rated minimum brightness of the display; I i Represents the ambient light brightness in the i-th time period; represents the maximum ambient light color temperature in the i-th time period, Indicates the minimum ambient light color temperature in the i-th time period; C i represents the ambient light contrast in the i-th time period; F i represents the ambient light flicker frequency in the i-th time period; f i represents the focal length of the lens in the i-th time period; N i represents the lens aperture number in the i-th time period; D i represents the lens distortion coefficient in the i-th time period; Q i Represents the optical transmittance of the lens in the i-th time period.

[0013] Preferably, the vision adaptation data processing step includes a vision correction data influence coefficient calculation step and a visual perception data influence coefficient calculation step.

[0014] Preferably, the vision correction data influence coefficient calculation step is used to import the vision correction data influence parameters into the vision correction data influence coefficient mathematical model to obtain the vision correction data influence coefficient value; the visual perception data influence coefficient calculation step is used to import the visual perception data influence parameters into the visual perception data influence coefficient mathematical model to obtain the visual perception data influence coefficient value.

[0015] Preferably, the mathematical model of the influence coefficient of vision correction data is specifically: , The mathematical model of the influence coefficient of visual perception data is as follows: , Among them, M i H represents the equivalent spherical degree of myopia in the i-th time period; i A represents the equivalent spherical degree of hyperopia in the i-th time period; i represents the astigmatism axis of both eyes in the i-th time period; P i represents the interpupillary distance between the two eyes in the i-th time period; r i represents the eye adjustment amplitude in the i-th time period; t1 i represents the viewing time in the i-th time period; t2 i represents the viewing break time in the i-th time period; η i represents the blue light filtering efficiency in the i-th time period; l i represents the viewing distance in the i-th time period.

[0016] Preferably, the mathematical model of the imaging mode rationality index is specifically: , Among them, α represents the influence coefficient value of the display physical characteristics, β represents the influence coefficient value of the ambient lighting data, γ represents the influence coefficient value of the lens optical characteristics data, χ represents the influence coefficient value of the vision correction data, and δ represents the influence coefficient value of the visual perception data.

[0017] Technical effects and advantages of the present invention: 1. The present invention simultaneously analyzes and processes the optical imaging data and the vision adaptation data in real time, and also provides a dynamic vision protection mechanism, which not only pays attention to the display effect of the image, but also fully considers the protection of the user's vision, thereby improving the vision improvement effect; 2. The present invention can provide a relatively long-distance imaging effect by performing real-time analysis on vision adaptation data, reduce the burden of ciliary muscle adjustment, and avoid close-range eye damage. Its application scenarios are wide and flexible; 3. The present invention adjusts the display by utilizing the imaging feedback step, and can adjust the display parameters in real time according to the user's viewing environment, duration and imaging status, so that the user can view the screen content more clearly and comfortably. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] As attached Figure 1 A long-distance imaging display control method for improving vision shown in the figure includes: S1, imaging area determination, S2, data acquisition, S3, optical imaging data processing, S4, vision adaptation data processing, S5, comprehensive data analysis, S6, imaging mode judgment, S7, imaging feedback, S8, human-computer interaction.

[0021] S1. Determine the imaging area, which is used to determine the data in the target display as the target imaging area, and divide it into sub-areas according to an equal time division method, and number the sub-areas in the imaging area as 1, 2, ..., i, ..., n in sequence.

[0022] S2. Data acquisition, used to obtain optical imaging data and vision adaptation data of the target imaging area.

[0023] In this embodiment, it should be specifically explained that the optical imaging data includes parameters affecting display physical characteristics, ambient lighting data, and lens optical characteristics data; the vision adaptation data includes parameters affecting vision correction data and visual perception data.

[0024] In this embodiment, it is specifically necessary to explain that the parameters affecting the physical characteristics of the display include the pixel pitch of the display, denoted as d; the contrast of the display, denoted as CR; the resolution of the display, denoted as R; the refresh rate of the display, denoted as FR; the brightness of the display, denoted as L; the parameters affecting the ambient light data include the brightness of the ambient light, denoted as I; the color temperature of the ambient light, denoted as T; the contrast of the ambient light, denoted as C; the flicker frequency of the ambient light, denoted as F; the parameters affecting the optical characteristic data of the lens include the focal length of the lens, denoted as f; the aperture number of the lens, denoted as N; the distortion coefficient of the lens, denoted as D; the optical transmittance of the lens, denoted as Q; the parameters affecting the vision correction data include the equivalent spherical degree of myopia, denoted as M; the equivalent spherical degree of hyperopia, denoted as H; the axis of binocular astigmatism, denoted as A; the interpupillary distance between the binoculars, denoted as P; the amplitude of eye adjustment, denoted as r; the visual perception data include the viewing time, denoted as t1; the viewing rest time, denoted as t2; the blue light filtering efficiency, denoted as η; and the viewing distance, denoted as l.

[0025] In this embodiment, it is specifically necessary to explain that the data acquisition step obtains the display pixel pitch, display contrast, display resolution, display refresh rate and display brightness through the display detection software, and calculates the ambient light contrast; measures the ambient light brightness through the light sensor, obtains the ambient light color temperature through the built-in camera shooting mode, and obtains the ambient light flicker frequency through the photoelectric sensor; obtains the lens focal length and lens aperture number through the lens identification, and obtains the lens distortion coefficient and lens optical transmittance through the optical analysis software; infers the myopia equivalent spherical degree, hyperopia equivalent spherical degree, binocular astigmatism axis, binocular pupil distance, eye adjustment amplitude, viewing time and viewing rest time through vision detection and usage habits; obtains the blue light filtration efficiency through the display settings; and obtains the viewing distance through the distance sensor.

[0026] S3, optical imaging data processing, is used to analyze and process the optical imaging data obtained in S2 to obtain the display physical property influence coefficient, the ambient light data influence coefficient and the lens optical property data influence coefficient.

[0027] In this embodiment, it should be specifically explained that the optical imaging data processing step includes a display physical property influence coefficient calculation step, an ambient light data influence coefficient calculation step, and a lens optical property data influence coefficient calculation step.

[0028] In this embodiment, it is specifically necessary to explain that the display physical property influence coefficient calculation step is used to import the display physical property influence parameter into the display physical property influence coefficient mathematical model to obtain the display physical property influence coefficient value; the ambient lighting data influence coefficient calculation step is used to import the ambient lighting data influence parameter into the ambient lighting data influence coefficient mathematical model to obtain the ambient lighting data influence coefficient value; the lens optical property data influence coefficient calculation step is used to import the lens optical property data influence parameter into the lens optical property data influence coefficient mathematical model to obtain the lens optical property data influence coefficient value.

[0029] In this embodiment, it should be specifically explained that the mathematical model of the display physical property influence coefficient is specifically: , The mathematical model of the influence coefficient of ambient light data is as follows: , The mathematical model of the influence coefficient of lens optical characteristic data is as follows: , CR i Indicates the display contrast in the i-th time period; FR i represents the refresh rate of the display in the i-th time period; L i represents the display brightness in the i-th time period, L min Indicates the rated minimum brightness of the display; I i Represents the ambient light brightness in the i-th time period; represents the maximum ambient light color temperature in the i-th time period, Indicates the minimum ambient light color temperature in the i-th time period; C i represents the ambient light contrast in the i-th time period; F i represents the ambient light flicker frequency in the i-th time period; f i represents the focal length of the lens in the i-th time period; N i represents the lens aperture number in the i-th time period; D i represents the lens distortion coefficient in the i-th time period; Q i Represents the optical transmittance of the lens in the i-th time period.

[0030] S4, vision adaptation data processing, is used to analyze and process the vision adaptation data obtained in S2 to obtain the vision correction data influence coefficient and the visual perception data influence coefficient.

[0031] In this embodiment, it should be specifically explained that the vision adaptation data processing step includes a vision correction data influence coefficient calculation step and a visual perception data influence coefficient calculation step.

[0032] In this embodiment, it is specifically necessary to explain that the vision correction data influence coefficient calculation step is used to import the vision correction data influence parameters into the vision correction data influence coefficient mathematical model to obtain the vision correction data influence coefficient value; the visual perception data influence coefficient calculation step is used to import the visual perception data influence parameters into the visual perception data influence coefficient mathematical model to obtain the visual perception data influence coefficient value.

[0033] In this embodiment, it should be specifically explained that the mathematical model of the influence coefficient of vision correction data is specifically: , The mathematical model of the influence coefficient of visual perception data is as follows: , Among them, M i H represents the equivalent spherical degree of myopia in the i-th time period; i A represents the equivalent spherical degree of hyperopia in the i-th time period; i represents the astigmatism axis of both eyes in the i-th time period; P i represents the interpupillary distance between the two eyes in the i-th time period; r i represents the eye adjustment amplitude in the i-th time period; t1 i represents the viewing time in the i-th time period; t2 i represents the viewing break time in the i-th time period; η i represents the blue light filtering efficiency in the i-th time period; l i represents the viewing distance in the i-th time period.

[0034] S5. Comprehensive data analysis: import the display physical property influence coefficient value, ambient lighting data influence coefficient value, lens optical property data influence coefficient value, vision correction data influence coefficient value and visual perception data influence coefficient value obtained in S3 and S4 into the imaging mode rationality index mathematical model to obtain the imaging mode rationality index value.

[0035] In this embodiment, it should be specifically explained that the mathematical model of the imaging mode rationality index is specifically: , Among them, α represents the influence coefficient value of the display physical characteristics, β represents the influence coefficient value of the ambient lighting data, γ represents the influence coefficient value of the lens optical characteristics data, χ represents the influence coefficient value of the vision correction data, and δ represents the influence coefficient value of the visual perception data.

[0036] S6. Imaging mode judgment. Compare the imaging mode rationality index value obtained in S5 with the preset imaging mode rationality index values ​​under multiple standards, and calculate the minimum value of the difference between the imaging mode rationality index value and the preset imaging mode rationality index values ​​under multiple standards. When the minimum value in the difference value is less than the preset difference threshold, the judgment result is that the imaging mode is normal; when the minimum value in the difference value is greater than the preset difference threshold, the judgment result is that the imaging mode is abnormal.

[0037] In this embodiment, it is specifically necessary to explain that the preset imaging mode rationality index values ​​under the multiple standards are the average values ​​of the imaging mode rationality index values ​​under different historical eye protection modes; the preset difference threshold is the average value of the difference between the historical imaging mode rationality index values ​​and the preset imaging mode rationality index values ​​under the corresponding standards.

[0038] S7, imaging feedback, when the judgment result is that the imaging mode is abnormal, the data in the target imaging area is adjusted to the next standard according to the difference value obtained in S6, and the imaging mode is remotely adjusted according to this standard, and then the data is re-collected and transmitted to the data collection step.

[0039] S8, human-computer interaction, transmits the obtained difference value, judgment result and data in the target imaging area to the user information terminal, and provides reference data for the user to make adjustment measures.

[0040] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for controlling a long-distance imaging display for improving vision, characterized in that: include: S1, determining the imaging area, for determining the data in the target display as the target imaging area, and dividing it into sub-areas according to an equal time division method, and numbering the sub-areas in the imaging area as 1, 2, ..., i, ..., n in sequence; S2, data acquisition, used to obtain optical imaging data and vision adaptation data of the target imaging area; S3, optical imaging data processing, for analyzing and processing the optical imaging data obtained in S2 to obtain the display physical property influence coefficient, the ambient light data influence coefficient and the lens optical property data influence coefficient; S4, vision adaptation data processing, for analyzing and processing the vision adaptation data obtained in S2 to obtain the vision correction data influence coefficient and the visual perception data influence coefficient; S5. Comprehensive data analysis, importing the display physical property influence coefficient value, ambient light data influence coefficient value, lens optical property data influence coefficient value, vision correction data influence coefficient value and visual perception data influence coefficient value obtained in S3 and S4 into the imaging mode rationality index mathematical model to obtain the imaging mode rationality index value; S6, imaging mode judgment, comparing the imaging mode rationality index value obtained in S5 with the preset imaging mode rationality index values ​​under multiple standards, calculating the minimum value of the difference between the imaging mode rationality index value and the preset imaging mode rationality index values ​​under multiple standards, when the minimum value in the difference value is less than the preset difference threshold, the judgment result is that the imaging mode is normal, when the minimum value in the difference value is greater than the preset difference threshold, the judgment result is that the imaging mode is abnormal; S7, imaging feedback, when the judgment result is that the imaging mode is abnormal, the data in the target imaging area is adjusted to the next standard according to the difference value obtained in S6, and the imaging mode is remotely adjusted according to this standard, and then the data is re-collected and transmitted to the data collection step; S8, human-computer interaction, transmits the obtained difference value, judgment result and data in the target imaging area to the user information terminal, and provides reference data for the user to make adjustment measures.

2. A method for controlling a long-distance imaging display for improving vision according to claim 1, characterized in that: The optical imaging data includes parameters affecting display physical characteristics, ambient lighting data, and lens optical characteristics data; the vision adaptation data includes parameters affecting vision correction data and visual perception data.

3. A method for controlling a long-distance imaging display for improving vision according to claim 2, characterized in that: The display physical property influencing parameters include display pixel pitch, denoted as d; display contrast, denoted as CR; Display resolution, denoted by R; display refresh rate, denoted by FR; display brightness, denoted by L; ambient light data influencing parameters include ambient light brightness, denoted by I; ambient light color temperature, denoted by T; ambient light contrast, denoted by C; ambient light flicker frequency, denoted by F; lens optical characteristic data influencing parameters include lens focal length, denoted by f; lens aperture number, denoted by N; lens distortion coefficient, denoted by D; lens optical transmittance, denoted by Q; vision correction data influencing parameters include myopia equivalent spherical degree, denoted by M; hyperopia equivalent spherical degree, denoted by H; binocular astigmatism axis, denoted by A; binocular pupil distance, denoted by P; eye adjustment amplitude, denoted by r; visual perception data include viewing time, denoted by t1; viewing rest time, denoted by t2; blue light filtration efficiency, denoted by η; viewing distance, denoted by l.

4. A method for controlling a long-distance imaging display for improving vision according to claim 1, characterized in that: The optical imaging data processing step includes a display physical property influence coefficient calculation step, an ambient lighting data influence coefficient calculation step, and a lens optical property data influence coefficient calculation step.

5. A method for controlling a long-distance imaging display for improving vision according to claim 4, characterized in that: The display physical property influence coefficient calculation step is used to import the display physical property influence parameter into the display physical property influence coefficient mathematical model to obtain the display physical property influence coefficient value; the ambient light data influence coefficient calculation step is used to import the ambient light data influence parameter into the ambient light data influence coefficient mathematical model to obtain the ambient light data influence coefficient value; The lens optical characteristic data influence coefficient calculation step is used to import the lens optical characteristic data influence parameter into the lens optical characteristic data influence coefficient mathematical model to obtain the lens optical characteristic data influence coefficient value.

6. A method for controlling a long-distance imaging display for improving vision according to claim 5, characterized in that: The mathematical model of the influence coefficient of the physical characteristics of the display is specifically: ， The mathematical model of the influence coefficient of ambient light data is as follows: ， The mathematical model of the influence coefficient of lens optical characteristic data is as follows: ， CR i Indicates the display contrast in the i-th time period; FR i represents the refresh rate of the display in the i-th time period; L i represents the display brightness in the i-th time period, L min Indicates the rated minimum brightness of the display; I i Represents the ambient light brightness in the i-th time period; represents the maximum ambient light color temperature in the i-th time period, Indicates the minimum ambient light color temperature in the i-th time period; C i represents the ambient light contrast in the i-th time period; F i represents the ambient light flicker frequency in the i-th time period; f i represents the focal length of the lens in the i-th time period; N i represents the lens aperture number in the i-th time period; D i represents the lens distortion coefficient in the i-th time period; Q i Represents the optical transmittance of the lens in the i-th time period.

7. A method for controlling a long-distance imaging display for improving vision according to claim 1, characterized in that: The vision adaptation data processing step includes a vision correction data influence coefficient calculation step and a visual perception data influence coefficient calculation step.

8. A method for controlling a long-distance imaging display for improving vision according to claim 7, characterized in that: The vision correction data influence coefficient calculation step is used to import the vision correction data influence parameters into the vision correction data influence coefficient mathematical model to obtain the vision correction data influence coefficient value; the visual perception data influence coefficient calculation step is used to import the visual perception data influence parameters into the visual perception data influence coefficient mathematical model to obtain the visual perception data influence coefficient value.

9. A remote imaging display control method for improving vision according to claim 8, characterized in that: The mathematical model of the influence coefficient of vision correction data is specifically: ， The mathematical model of the influence coefficient of visual perception data is as follows: ， Among them, M i H represents the equivalent spherical degree of myopia in the i-th time period; i A represents the equivalent spherical degree of hyperopia in the i-th time period; i represents the astigmatism axis of both eyes in the i-th time period; P i represents the interpupillary distance between the two eyes in the i-th time period; r i represents the eye adjustment amplitude in the i-th time period; t1 i represents the viewing time in the i-th time period; t2 i represents the viewing break duration in the i-th time period; η i represents the blue light filtering efficiency in the i-th time period; l i represents the viewing distance in the i-th time period.

10. The method for controlling a long-distance imaging display for improving vision according to claim 1, characterized in that: The mathematical model of the imaging mode rationality index is specifically: ， Among them, α represents the influence coefficient value of the display physical characteristics, β represents the influence coefficient value of the ambient lighting data, γ represents the influence coefficient value of the lens optical characteristics data, χ represents the influence coefficient value of the vision correction data, and δ represents the influence coefficient value of the visual perception data.

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