CN110220674B - Display screen health performance evaluation method and device - Google Patents
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Abstract
The invention discloses a method and a device for evaluating the health performance of a display screen, wherein the method comprises the following steps: collecting a plurality of displayed objects in a display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects; calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point; and comprehensively evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects. Compared with the prior art, the method and the device have the advantages that the light and chromaticity performance parameter values of the displayed object are obtained by evaluating each pixel point in the displayed object of the display screen, and then the health performance of the display is evaluated according to the light and chromaticity performance parameter values of the plurality of displayed objects, so that the evaluation result is more accurate.
Description
Technical Field
The invention relates to the technical field of display screens, in particular to a method and a device for evaluating health performance of a display screen.
Background
At present, the backlight source of a display screen usually adopts several groups of light sources, i.e. red light, green light and blue light (RGB), and displays various colors by controlling the proportion of red light, green light and blue light, and the corresponding red, green and blue backlight sources form a triangular color gamut, i.e. the maximum color gamut range that can be displayed by the display screen, on the chromaticity diagram of CIE 1931XYZ or CIE 1976uv, etc. proposed by CIE (commission internationale de l' eclairage). The backlight source of part of the display screen adopts red light, green light, blue light and white light (RGBW), the chromaticity of the white light is positioned in the triangular color gamut formed by the red light, the green light and the blue light, and the white light is further divided into three color gamuts of RGW, GBW and RBW.
In actual life, because a large amount of light radiation dose of the display screen can be absorbed by using the display for a long time, so that the health of a human body is influenced, more and more users begin to consider the health performance of the display when selecting the display, and how to evaluate the health performance of the display screen is very important.
Disclosure of Invention
The application provides a method and a device for evaluating the health performance of a display screen, which can be used for evaluating the health performance of the display screen.
Specifically, a first aspect of the present application provides a method for evaluating health performance of a display screen, where the method includes:
collecting a plurality of displayed objects in a display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects;
calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point;
and evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects.
Optionally, the step of detecting a spectrum corresponding to each pixel point in the currently displayed object includes:
detecting relative spectral energy distribution parameters corresponding to each pixel point in the currently displayed object;
and/or detecting the spectral intensity parameter corresponding to each pixel point in the current display object.
Optionally, the step of obtaining the light and chromaticity performance parameter values of each pixel point according to the spectrum calculation includes:
calculating to obtain a relative value corresponding to the light and chromaticity performance parameter value of each pixel point according to the relative spectral energy distribution parameter;
and/or calculating to obtain the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point according to the spectrum intensity parameter.
Optionally, the step of obtaining the light and chrominance performance parameter values corresponding to the currently displayed object by using the calculated light and chrominance performance parameter values of each pixel point includes:
and accumulating the calculated light and chromaticity performance parameter values of each pixel point to obtain the light and chromaticity performance parameter values corresponding to the current display object.
Optionally, the step of obtaining the light and chrominance performance parameter values corresponding to the currently displayed object by using the calculated light and chrominance performance parameter values of each pixel point includes:
detecting the number of pixel points contained in the current display object;
and randomly selecting a pixel point in the current display object, and multiplying the light and chromaticity performance parameter values of the selected pixel point by the number of the pixel points contained in the current display object to obtain the light and chromaticity performance parameter values corresponding to the current display object.
Optionally, the step of evaluating the health performance of the display screen to be evaluated based on the collected light and chromaticity performance parameter values corresponding to each display object includes:
determining the time length required by the collection of the plurality of display objects, accumulating the light and chromaticity performance parameter values corresponding to the plurality of display objects to obtain the performance evaluation parameter values of the display screen to be evaluated in the time length, and evaluating the health performance of the display screen to be evaluated by using the obtained performance evaluation parameter values.
Optionally, the step of evaluating the health performance of the display screen to be evaluated based on the collected light and chromaticity performance parameter values corresponding to each display object includes:
determining the time length required by collecting the plurality of display objects, randomly selecting one display object from the collected display objects, multiplying the light and chromaticity performance parameter values of the selected display objects by the number of the collected display objects to obtain the performance evaluation parameter value of the display screen to be evaluated in the time length, and evaluating the health performance of the display screen to be evaluated by using the obtained performance evaluation parameter value.
Optionally, before the step of detecting the spectrum corresponding to each pixel point in the currently displayed object, the method further includes:
carrying out color detection on the display screen to be evaluated;
if the display screen to be evaluated adopts an RGB backlight source, continuously executing the step of detecting the spectrum corresponding to each pixel point in the currently displayed object;
and if the display screen to be evaluated adopts an RGBW backlight source, after the color gamut of the display screen to be evaluated is adjusted to any one of three color gamut modes of RGW, GBW and RBW, continuously executing the step of detecting the spectrum corresponding to each pixel point in the currently displayed object.
Optionally, before the step of collecting a plurality of display objects in the display screen to be evaluated, the method further includes:
detecting the change condition of the spectral intensity of each color channel of each pixel point when the gray value of each color channel of each pixel point in the display screen to be evaluated changes;
determining a correction curve between the spectral intensity and the gray value of each color channel of each pixel point according to the spectral intensity change condition of each color channel of each pixel point, and obtaining the spectral energy distribution of each pixel point according to the gray value corresponding to the computer;
and establishing a one-to-one corresponding relation between the computer color space and the CIE color space according to the relation between the gray value of each color channel and the spectral intensity.
Optionally, the light and chromaticity performance parameter values include a display efficiency, a health performance value, a blue light damage value, and a chromaticity performance value.
Optionally, an explicit function model relationship exists between the chromaticity of the display screen to be evaluated and the light and chromaticity performance parameter values.
The second aspect of the present application provides a display screen health performance evaluation device, which includes:
the detection module is used for collecting a plurality of displayed objects in the display screen to be evaluated and detecting the spectrum corresponding to each pixel point in the currently displayed objects;
the calculation module is used for calculating and obtaining the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the current display object by using the calculated light and chromaticity performance parameter values of each pixel point;
and the evaluation module is used for evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects.
The method for evaluating the health performance of the display screen comprises the following steps: collecting a plurality of displayed objects in the display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects; calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point; and evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects. Compared with the prior art, the method and the device have the advantages that each pixel point in any one displayed object displayed on the display screen is evaluated to obtain the light and chromaticity performance parameter values of the displayed object, and then the health performance of the display is evaluated according to the light and chromaticity performance parameter values of the plurality of displayed objects, so that the evaluation result is more accurate.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating steps of a method for evaluating health performance of a display screen according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a spectrum synthesis corresponding to an RGB backlight in the embodiment of the present application;
FIG. 3 is a schematic diagram of a spectrum synthesis corresponding to the RGBW backlight source in the embodiment of the present invention;
FIG. 4 is a schematic flowchart illustrating a detailed procedure of a method for evaluating health performance of a display screen according to an embodiment of the present application;
FIG. 5 is a graph illustrating a calibration curve and a fitting relationship between the spectral intensity and the gray scale of a light source of a given display screen according to an embodiment of the present invention;
fig. 6 is a schematic diagram of program modules of a display screen health performance evaluation apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating steps of a display screen health performance evaluation method in an embodiment of the present application, where the display screen health performance evaluation method in the embodiment includes:
In this embodiment, when the display screen to be evaluated is evaluated, a display object is collected from the display screen to be evaluated, then the spectrum corresponding to each pixel point in the display object is calculated, then a preset time interval is set, another display object is collected from the display screen to be evaluated, the spectrum corresponding to each pixel point in the display object is calculated by using the same method, and so on until a plurality of display objects are collected from the display screen to be evaluated. The plurality of display objects may include only one display object, or may include two or more display objects.
The display object may be a frame of an image, text, video or other data displayed in the display screen to be evaluated. The display screen to be evaluated comprises various application display screens such as a smart phone, a motor, a computer, an outdoor display screen and the like.
For better understanding of the present embodiment, referring to fig. 2, fig. 2 is a schematic diagram of a spectrum synthesis corresponding to an RGB backlight source in the embodiment of the present application.
And 102, calculating to obtain light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the current display object by using the calculated light and chromaticity performance parameter values of each pixel point.
In this embodiment, after the performance parameter values corresponding to each pixel point in the current display object are obtained through calculation, the performance parameter values corresponding to all pixel points in the display screen to be evaluated may be combined to obtain the light and chromaticity performance parameter values corresponding to the display object.
The calculated light and chromaticity performance parameter values of each pixel point can be accumulated to obtain the light and chromaticity performance parameter values corresponding to the current display object.
In addition, the number of pixel points contained in the currently displayed object can be detected, one pixel point is randomly selected from the currently displayed object, and the light and chromaticity performance parameter values of the selected pixel point are multiplied by the number of the pixel points contained in the currently displayed object to obtain the light and chromaticity performance parameter values corresponding to the currently displayed object.
In this embodiment, the number of horizontal pixels and the number of vertical pixels in the display screen to be evaluated may be detected in advance, and then the number of pixels in the currently displayed object may be calculated by using the detected number of horizontal pixels and the detected number of vertical pixels.
In addition, in this embodiment, the physical size of the display screen, including the horizontal size and the vertical size of the display screen to be evaluated, may also be detected according to the number of the pixels in the display screen to be evaluated and the size of each pixel.
The performance parameters of the pixel points may include display efficiency, health performance values, blue light damage values, and other performance parameters that can be obtained through spectral calculation.
And 103, evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects.
In this embodiment, after obtaining the light and chromaticity performance parameters corresponding to each display object, the performance evaluation parameter value of the display screen to be evaluated within the time length may be calculated in a preset operation manner according to the number of the collected display objects and the time length required for collecting the plurality of display objects, and the health performance of the display screen to be evaluated may be evaluated based on the performance evaluation parameter value.
The preset operation mode comprises integral operation.
Specifically, the time length required for collecting a plurality of display objects can be determined, the light and chromaticity performance parameter values corresponding to the plurality of display objects are accumulated to obtain the performance evaluation parameter value of the display screen to be evaluated within the time length, and the health performance of the display screen to be evaluated is evaluated by using the obtained performance evaluation parameter value.
Or determining the time length required for acquiring a plurality of display objects, randomly selecting one display object from the acquired display objects, multiplying the light and chromaticity performance parameter values of the selected display object by the number of the acquired display objects to obtain the performance evaluation parameter value of the display screen to be evaluated within the time length, and evaluating the health performance of the display screen to be evaluated by using the obtained performance evaluation parameter value.
The method for evaluating the health performance of the display screen comprises the following steps: collecting a plurality of displayed objects in the display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects; calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point; and evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects. Compared with the prior art, the method and the device have the advantages that each pixel point in any one displayed object displayed on the display screen is evaluated to obtain the light and chromaticity performance parameter values of the displayed object, and then the health performance of the display is evaluated according to the light and chromaticity performance parameter values of the plurality of displayed objects, so that the evaluation result is more accurate.
Further, based on the above embodiment, in this embodiment, the step of detecting the spectrum corresponding to each pixel point in the current display object described in the step 101 may be specifically subdivided into:
detecting relative spectral energy distribution parameters corresponding to each pixel point in the currently displayed object; and/or detecting the spectral intensity parameter corresponding to each pixel point in the current display object.
That is, in the embodiment of the present invention, the relative spectral energy distribution parameter corresponding to each pixel point in the current display object may be detected, or the spectral intensity parameter corresponding to each pixel point in the current display object may be detected, or the relative spectral energy distribution parameter and the spectral intensity parameter corresponding to each pixel point in the current display object may be detected at the same time.
In the embodiment of the invention, the relative spectral energy distribution parameter corresponding to each pixel point in the current display object is preferentially detected.
Further, after detecting the relative spectral energy distribution parameter and/or the spectral intensity parameter corresponding to each pixel point in the current display object, the performance parameter of each pixel point obtained by the spectral calculation described in the above step 102 may be specifically detailed as:
calculating to obtain a relative value corresponding to the light and chromaticity performance parameter value of each pixel point according to the relative spectral energy distribution parameter; and/or calculating to obtain the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point according to the spectrum intensity parameter.
In the embodiment of the invention, the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point is preferentially calculated through the spectral intensity parameter, then the light and chromaticity performance parameter value corresponding to the current display object is obtained by using the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point, and the health performance of the display screen to be evaluated is evaluated based on the collected light and chromaticity performance parameter value corresponding to each display object.
In the method for evaluating health performance of a display screen provided by this embodiment, the relative spectral energy distribution parameter corresponding to each pixel point in the current display object is detected, and/or the spectral intensity parameter corresponding to each pixel point in the current display object is detected, so as to calculate the relative value and/or the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point, and then the light and chromaticity performance parameter value corresponding to the current display object can be obtained by using the relative value and/or the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point.
Further, based on the above embodiment, in the embodiment of the present invention, before detecting the spectrum corresponding to each pixel point in the current display object, the method further includes the following steps:
step a, carrying out color detection on the display screen to be evaluated;
b, if the display screen to be evaluated adopts an RGB backlight source, continuously detecting the spectrum corresponding to each pixel point in the currently displayed object;
and c, if the display screen to be evaluated adopts an RGBW backlight source, after the color gamut of the display screen to be evaluated is adjusted to any one of three color gamut modes of RGW, GBW and RBW, continuously detecting the spectrum corresponding to each pixel point in the current display object.
The RGBW backlight source is formed by adding a W white backlight source on the original RGB backlight source and adopting a four-color pixel design, when the images with the same brightness are displayed, the power consumption is lower, and under the condition of the same power consumption, the brightness is greatly improved, so that the image hierarchy is clearer, and the images are more transparent.
Specifically, considering that some display screens currently use an RGBW backlight source, in this embodiment, before detecting a spectrum corresponding to each pixel in the current display object, if the display screen to be evaluated uses the RGBW backlight source, the color gamut of the display screen to be evaluated is adjusted to any one of three color gamut modes, namely RGW, GBW, and RBW, and then the spectrum corresponding to each pixel in the current display object is continuously detected.
For better understanding of the present embodiment, referring to fig. 3, fig. 3 is a schematic diagram of a spectrum synthesis corresponding to the RGBW backlight in the embodiment of the present application. In fig. 3, gamut 1 represents RGW gamut mode, gamut 2 represents GBW gamut mode, and gamut 3 represents RBW gamut mode.
In the method for evaluating the health performance of the display screen provided in this embodiment, when the display screen to be evaluated adopts the RGBW backlight, the spectrum corresponding to each pixel point in the current display object can be detected by adjusting the color gamut of the display screen to be evaluated to any one of three color gamut modes, namely RGW, GBW and RBW.
Further, based on the content described in the foregoing embodiment, referring to fig. 4, fig. 4 is a schematic flowchart of a detailed step of the method for evaluating health performance of a display screen in the embodiment of the present invention, in this embodiment, before the foregoing step 101, the method further includes the following steps:
In this embodiment, in order to make the evaluation result of the health performance of the display screen more accurate, before the evaluation of the display screen to be evaluated, the change of the spectral intensity of each color channel of each pixel point when the display screen to be evaluated displays different gray levels can be detected at the same time, and then the correction curve between the spectral intensity and the gray level of each color channel of each pixel point is determined.
For example, when the gray value of each pixel point is detected to be RGB (0,0,0), RGB (50, 0,0), RGB (100, 0,0), RGB (150, 0,0), RGB (200, 0,0), RGB (255, 0,0), the spectral intensity of each pixel point in the R (red) color channel is detected, and a calibration curve is obtained according to the relationship between the two; similarly, the spectral intensities of the G (green) and B (blue) color channels can be obtained, and the calibration curve can be obtained according to the relationship between the two. Detecting the gray value of each pixel point in RGB (0,0,0), RGB (50, 50, 50), RGB (100, 100, 100), RGB (150, 150, 150), RGB (200, 200, 200), RGB (255, 255, 255), the spectral intensity of each pixel point in the gray channel, and obtaining the correction curve according to the relationship between the two
For better understanding of the present embodiment, referring to fig. 5, fig. 5 is a graph illustrating a calibration curve and a fitting relationship between the spectral intensity of the light source of a given display screen and the gray scale in the embodiment of the present application. The calibration curve of the relationship between the light source spectral intensity and the gray scale, similar to the Gamma calibration curve, can be converted into each other, and is a power function describing the brightness and the input voltage, and Y is (X + e)γWherein, Y is brightness, X is output voltage, e is compensation coefficient, and the power value (gamma) is gamma value, and the gamma curve of CRT can be changed by changing the power value (gamma). The patent describes a calibration curve of the relationship between the spectral intensity and the gray level of a light source, and can use a power function, an exponential function, a unitary multi-time function and the like to carry out high-precision fitting, and the relationship between the spectral intensity and the gray level can be accurately described by corresponding fitting formula results.
Further, based on the content described in the foregoing embodiments, in this embodiment, the performance parameter values include display efficiency, and the calculating, in step 102, the light and chromaticity performance parameter values of each pixel point according to the spectrum specifically includes:
calculating the display efficiency LE and LER corresponding to each pixel point in the current display object according to the following formula,
wherein, KmAnd expressing a preset optical power equivalent parameter, P (lambda) expressing a relative spectral energy distribution parameter or a spectral intensity parameter corresponding to each pixel point, V (lambda) expressing a preset photopic vision spectral photopic vision efficiency function, and lambda expressing a spectral wavelength.
When P (lambda) represents the relative spectral energy distribution parameter corresponding to each pixel point, the calculated display efficiency LER is a relative value, and when P (lambda) represents the spectral intensity parameter corresponding to each pixel point, the calculated display efficiency LER is an absolute value.
In this embodiment, since the visible wavelength range of human eyes is 380nm to 780nm, the display efficiency LER corresponding to each pixel point with a wavelength within 380nm to 780nm can be calculated.
Wherein, Km＝683lm/W。
The light source spectrum energy P (lambda) and the light wave wavelength lambda have a functional relation, and the light source spectrum energy P (lambda) changes along with the change of the light wave wavelength lambda.
The photopic vision spectrum photopic vision efficiency function refers to that under the photopic vision condition, human eyes radiate in different wavelengths in a visible spectrum range of 380-780 nm, namely, various chromatic lights have different perceptibility. For each color of light with equal energy, human eyes feel yellow green and brightest, and then purple, blue and darkest red. The human eyes have different perceptibility to different color lights and can be characterized by a spectral luminous efficiency function and represented by a spectral luminous efficiency curve. The so-called spectral luminous efficiency function is the reciprocal of the energy required by different wavelengths to achieve the same brightness, i.e., V (λ) ═ 1/EλIn the formula: v (lambda) is spectral lightValue of visual efficiency function, EλIs monochromatic light energy. Since the retina contains two different sensory cells, the V (λ) function changes at different illumination levels. When the brightness is more than 3 cd/square meter, the visual sense is realized, the cone cells play a main role, and the peak value of V (lambda) is 555 nm; when the luminance brightness is less than 0.03 cd/square meter, the rod body cells play a main role in dark vision, and the peak value of V (lambda) moves to the short wave direction and is in a blue-green part of 507 nm. When the brightness is 0.03-3 cd/square meter, the cone cells and the rod cells act together, so that mesopic vision is obtained. The visual function of mesopic vision cannot be modeled by a linear combination of photopic and scotopic vision functions. Because there is an interaction between rod cells and pyramidal cells in the mesopic range.
Specifically, in some places of a cockpit and a laboratory, the indoor display screen is in an intermediate vision state, and the related light and colorimetry performance is calculated by adopting an intermediate vision lower correlation function.
Specifically, after the display efficiency corresponding to each pixel point in the current display object is calculated, the display efficiency corresponding to the current display object can be obtained by using the calculated display efficiency corresponding to each pixel point in the current display object, and then the display efficiency corresponding to the display screen to be evaluated is evaluated based on the collected display efficiency corresponding to each display object, so that the purpose of evaluating the display efficiency of the display screen to be evaluated is achieved.
Further, based on the content described in the foregoing embodiments, in this embodiment, the performance parameter value includes a health performance value, and the calculating the performance parameter of each pixel point according to the spectrum in step 102 specifically includes:
calculating the health performance values ME, MER and M/P corresponding to each pixel point in the current display object according to the following formula:
wherein K denotes a preset correction coefficient and M (λ) denotes a preset melatonin response curve function.
Alternatively, M (λ) may be replaced with C (λ), which represents a preset circadian effect response curve function.
Wherein melatonin is one of hormones secreted by the pineal body of human brain, and can shorten the wake time before sleep and the time for falling asleep, improve sleep quality, and whiten skin. Modern medicine shows that the melatonin of human body is influenced by light rays, and the light rays released by the display screen possibly influence the secretion of the melatonin of human body, so the normal secretion of the melatonin of human body can be effectively ensured by evaluating the health performance of the display screen by the melatonin.
In this embodiment, the data of the variation between the melatonin secretion of the human body and the ambient light can be measured in advance through a large amount of experimental data, or the influence of the dose value of the light received by the human body on the health can be determined through the given relation in literature research.
Specifically, after the health performance value corresponding to each pixel point in the current display object is calculated, the health performance value corresponding to the current display object can be obtained by using the calculated health performance value corresponding to each pixel point in the current display object, and then the health performance value corresponding to the display screen to be evaluated is evaluated based on the acquired health performance value corresponding to each display object, so that the purpose of evaluating the health performance value of the display screen to be evaluated is achieved.
Further, based on the content described in the foregoing embodiments, in this embodiment, the performance parameter value includes a blue light damage value, and the calculating, in step 102, the performance parameter of each pixel point according to the spectrum specifically includes:
calculating the blue light damage value BLH corresponding to each pixel point in the current display object according to the following formula,
wherein, KBRepresents a preset correction factor and B (λ) represents a preset blue light damage response curve function.
Specifically, after the blue light damage value corresponding to each pixel point in the current display object is calculated, the blue light damage value corresponding to each pixel point in the current display object can be used to obtain the blue light damage value corresponding to the current display object, and then the blue light damage value corresponding to the display screen to be evaluated is evaluated based on the collected blue light damage values corresponding to the display objects, so that the purpose of evaluating the blue light damage value of the display screen to be evaluated is achieved.
Further, based on the content described in the above embodiments, in this embodiment, the performance parameter value further includes a chromaticity performance value, and the calculating the performance parameter of each pixel point according to the spectrum in step 102 specifically includes:
three stimulus values X, Y, Z of each pixel point in the current display object in the CIE color space are calculated according to the following formula,
wherein the content of the first and second substances,
representing a preset color matching function;
and calculating the x and y values of the chromaticity based on the stimulus value X, Y, Z to obtain the one-to-one correspondence between the chromaticity and the photochromic performance value of each pixel point in the current display object under the specific intensity.
In which, according to a mathematical model of vision and the results of color matching experiments, the international commission on illumination has set a specification called "1931 CIE standard observer" and a set of color matching functions is represented by three curves. The abscissa in the color matching function represents the wavelength of the visible spectrum and the ordinate represents the relative values of the primary colors X, Y and Z. The three curves represent how the X, Y and Z tristimulus values combine to produce all colors in the visible spectrum. For example, to match a color with a wavelength of 450nm (blue/violet), 0.33 units of the X primary color, 0.04 units of the Y primary color, and 1.77 units of the Z primary color are required.
Specifically, after the chromaticity performance value corresponding to each pixel point in the current display object is calculated, the chromaticity performance value corresponding to the current display object can be obtained by using the calculated chromaticity performance value corresponding to each pixel point in the current display object, and then the chromaticity performance value corresponding to the display screen to be evaluated is evaluated based on the collected chromaticity performance values corresponding to the display objects, so that the purpose of evaluating the chromaticity performance value of the display screen to be evaluated is achieved.
It is understood that the above embodiments describe the evaluation of various light and chromaticity performance values, including the display efficiency, health performance value, blue light damage value and chromaticity performance value, but the present application can also evaluate a plurality of parameters of the display efficiency, health performance value, blue light damage value and chromaticity performance value at the same time. For example, the display efficiency and the health performance value of the display screen to be evaluated may be evaluated at the same time, or the display efficiency, the health performance value and the chromaticity performance value of the display screen to be evaluated may be evaluated at the same time.
Further, there is an explicit function model relationship between the chromaticity of the display screen to be evaluated and the light and chromaticity performance parameter values, and the light and color composition in any three-color gamut meets the following conditions:
wherein L isr，Lg，LbRepresenting the sum of tristimulus values corresponding to RGB light sources, x and y representing display chromaticity of the display screen, and Rr,Rg,RbRepresenting R, G, B light source corresponding light source spectral energy proportionality coefficient, xr，yr，xg，yg，xb，ybRepresenting R, G, B the chromaticity values corresponding to the light sources, respectively.
Wherein, from a defined Rr,Rg,RbThe light source spectrum of the corresponding pixel point can be obtained, and the display efficiency, the health performance value and the blue light damage value are further calculated. Therefore, there is a display function model expression relationship between the chromaticity and the performance values of light and chromaticity.
Additionally, the relationship may also be expressed in a display function model for a given computer color space color versus CIE color space color.
Further, the present application also provides a display screen health performance evaluation apparatus, please refer to fig. 6, fig. 6 is a schematic diagram of a program module of the display screen health performance evaluation apparatus in an embodiment of the present application, in which the display screen health performance evaluation apparatus 200 includes:
the detection module 601 is configured to collect a plurality of display objects in the display screen to be evaluated, and detect a spectrum corresponding to each pixel point in the currently displayed object.
The calculating module 602 is configured to obtain light and chromaticity performance parameter values of each pixel according to the spectrum calculation, and obtain light and chromaticity performance parameter values corresponding to the currently displayed object by using the calculated light and chromaticity performance parameter values of each pixel.
The evaluation module 603 is configured to evaluate the health performance of the display screen to be evaluated based on the collected light and chromaticity performance parameter values corresponding to each display object.
In addition, the display screen health performance evaluation apparatus 200 may further include:
and the data storage module is used for storing the model characteristic information of the known display screen, including the spectrum information of the backlight source used by the known display screen and the correction curve information between the spectrum intensity and the gray value, and corresponding data can be acquired for calculation according to the model of the display screen to be evaluated.
The application provides a display screen health performance evaluation device 200 can realize: collecting a plurality of displayed objects in the display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects; calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point; and evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects. Compared with the prior art, the method and the device have the advantages that each pixel point in any one displayed object displayed on the display screen is evaluated to obtain the light and chromaticity performance parameter values of the displayed object, and then the health performance of the display is evaluated according to the light and chromaticity performance parameter values of the plurality of displayed objects, so that the evaluation result is more accurate.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that, for the sake of simplicity, the above-mentioned method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no acts or modules are necessarily required of the invention.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In view of the above description of the method and apparatus for evaluating health performance of a display screen according to the present invention, those skilled in the art will recognize that there may be variations in the embodiments and applications of the method and apparatus according to the present invention.
Claims (10)
1. A method for evaluating health performance of a display screen is characterized by comprising the following steps:
collecting a plurality of displayed objects in a display screen to be evaluated, and detecting a spectrum corresponding to each pixel point in the currently displayed objects;
calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the currently displayed image by using the calculated light and chromaticity performance parameter values of each pixel point, wherein the method comprises the following steps:
detecting the number of pixel points contained in the current display object,
randomly selecting a pixel point in the current display object, and multiplying the light and chromaticity performance parameter values of the selected pixel point by the number of the pixel points contained in the current display object to obtain the light and chromaticity performance parameter values corresponding to the current display object;
evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects; the light and chromaticity performance parameter values include display efficiency, health performance value, blue light damage value and chromaticity performance value.
2. The method for evaluating the health performance of the display screen according to claim 1, wherein the step of detecting the spectrum corresponding to each pixel point in the currently displayed object comprises:
detecting relative spectral energy distribution parameters corresponding to each pixel point in the currently displayed object;
and/or detecting the spectral intensity parameter corresponding to each pixel point in the current display object.
3. The method for evaluating the health performance of the display screen according to claim 2, wherein the step of calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum comprises:
calculating to obtain a relative value corresponding to the light and chromaticity performance parameter value of each pixel point according to the relative spectral energy distribution parameter;
and/or calculating to obtain the absolute value corresponding to the light and chromaticity performance parameter value of each pixel point according to the spectrum intensity parameter.
4. The method for evaluating the health performance of the display screen according to claim 1, wherein the step of obtaining the light and chrominance performance parameter values corresponding to the currently displayed object by using the calculated light and chrominance performance parameter values of each pixel point comprises:
and accumulating the calculated light and chromaticity performance parameter values of each pixel point to obtain the light and chromaticity performance parameter values corresponding to the current display object.
5. The method for evaluating the health performance of the display screen according to claim 1, wherein the step of evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects comprises:
determining the time length required by the collection of the plurality of display objects, accumulating the light and chromaticity performance parameter values corresponding to the plurality of display objects to obtain the performance evaluation parameter values of the display screen to be evaluated in the time length, and evaluating the health performance of the display screen to be evaluated by using the obtained performance evaluation parameter values.
6. The method for evaluating the health performance of the display screen according to claim 1, wherein the step of evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects comprises:
determining the time length required by collecting the plurality of display objects, randomly selecting one display object from the collected display objects, multiplying the light and chromaticity performance parameter values of the selected display objects by the number of the collected display objects to obtain the performance evaluation parameter value of the display screen to be evaluated in the time length, and evaluating the health performance of the display screen to be evaluated by using the obtained performance evaluation parameter value.
7. The method for evaluating the health performance of the display screen according to claim 1, wherein before the step of detecting the spectrum corresponding to each pixel point in the currently displayed object, the method further comprises:
carrying out color detection on the display screen to be evaluated;
if the display screen to be evaluated adopts an RGB backlight source, continuously executing the step of detecting the spectrum corresponding to each pixel point in the currently displayed object;
and if the display screen to be evaluated adopts an RGBW backlight source, after the color gamut of the display screen to be evaluated is adjusted to any one of three color gamut modes of RGW, GBW and RBW, continuously executing the step of detecting the spectrum corresponding to each pixel point in the currently displayed object.
8. The method for evaluating health performance of a display screen according to claim 1, wherein before the step of collecting a plurality of display objects in the display screen to be evaluated, further comprising:
detecting the spectral intensity change condition corresponding to each color channel of each pixel point when the gray value of each color channel of each pixel point in the display screen to be evaluated changes;
determining a correction curve between the spectral intensity and the gray value of each color channel of each pixel point according to the spectral intensity change condition of each color channel of each pixel point, and obtaining the spectral energy distribution of each pixel point according to the gray value corresponding to the computer;
and establishing a one-to-one corresponding relation between the computer color space and the CIE color space according to the relation between the gray value of each color channel and the spectral intensity.
9. The method for evaluating the health performance of the display screen according to claim 1, wherein an explicit function model relationship exists between the chromaticity of the display screen to be evaluated and the light and chromaticity performance parameter values.
10. A display screen health performance evaluation apparatus, characterized in that the apparatus comprises:
the detection module is used for collecting a plurality of displayed objects in the display screen to be evaluated and detecting the spectrum corresponding to each pixel point in the currently displayed objects;
the calculating module is used for calculating the light and chromaticity performance parameter values of each pixel point according to the spectrum, and obtaining the light and chromaticity performance parameter values corresponding to the current display object by using the calculated light and chromaticity performance parameter values of each pixel point, and comprises the following steps:
detecting the number of pixel points contained in the current display object,
randomly selecting a pixel point in the current display object, and multiplying the light and chromaticity performance parameter values of the selected pixel point by the number of the pixel points contained in the current display object to obtain the light and chromaticity performance parameter values corresponding to the current display object;
the evaluation module is used for evaluating the health performance of the display screen to be evaluated based on the light and chromaticity performance parameter values corresponding to the acquired display objects; the light and chromaticity performance parameter values include display efficiency, health performance value, blue light damage value and chromaticity performance value.
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| CN111586399B (en) * | 2020-04-01 | 2022-03-22 | 南昌大学 | Method for evaluating blue light hazard in video source |
| CN113240757B (en) * | 2021-05-12 | 2023-07-14 | 深圳市光科全息技术有限公司 | Blue light parameter detection method, device, equipment and medium |
| CN113380165B (en) * | 2021-06-10 | 2024-01-09 | Oppo广东移动通信有限公司 | Method, device, system and storage medium for detecting display device |
| CN113778767B (en) * | 2021-08-20 | 2023-07-21 | 南京巨鲨显示科技有限公司 | Medical display system and method capable of measuring and regulating optical health index |
| CN113870751A (en) * | 2021-10-08 | 2021-12-31 | 惠仁康宁(苏州)健康科技有限公司 | Method for setting blue light radiation safety boundary of brightness, color temperature and radiation accumulation |
| CN113870750A (en) * | 2021-10-08 | 2021-12-31 | 惠仁康宁(苏州)健康科技有限公司 | Method for setting blue light radiation safety boundary of color temperature and radiation accumulation |
| CN114166475A (en) * | 2021-12-02 | 2022-03-11 | Oppo广东移动通信有限公司 | Display screen detection method and device and storage medium |
| CN117238227B (en) * | 2023-11-14 | 2024-03-08 | 禹创半导体(深圳)有限公司 | OLED panel power saving method and device, computer equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007205820A (en) * | 2006-01-31 | 2007-08-16 | Dainippon Printing Co Ltd | Inspecting device for color filter, and inspecting method for color filter |
| CN101527108A (en) * | 2009-04-17 | 2009-09-09 | 天津光电星球显示设备有限公司 | Measuring method for colorimetric parameters of LED display screen |
| CN102721471A (en) * | 2012-07-02 | 2012-10-10 | 河北工业大学 | Method for conversion of spectrum into chromaticity |
| CN103954362A (en) * | 2014-04-25 | 2014-07-30 | 杭州电子科技大学 | Digital colourimetry method based on imaging device |
| CN103955079A (en) * | 2014-04-28 | 2014-07-30 | 深圳市华星光电技术有限公司 | Method for obtaining brightness and chrominance of white of RGBW display device by using RGB display device |
| JP2017188780A (en) * | 2016-04-06 | 2017-10-12 | 株式会社Ｉｍａｇｉｃａ | Performance evaluation method and system for image display device |
| JP2018085626A (en) * | 2016-11-24 | 2018-05-31 | 川原 功 | Image for color signal band characteristic evaluation |
| CN109186946A (en) * | 2018-09-25 | 2019-01-11 | 厦门大学 | The measurement method and its measuring device of luminescent device microcell luminosity and chromatic value |
| CN109655233A (en) * | 2018-12-18 | 2019-04-19 | 厦门大学 | A kind of multichannel light spectrum image-forming display screen Systems for optical inspection and its detection method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107068075B (en) * | 2016-12-30 | 2019-05-28 | 深圳市华星光电技术有限公司 | A kind of adjusting method of display device |
| CN109084898B (en) * | 2018-07-02 | 2020-06-30 | 北京印刷学院 | Method for establishing spectral response function of cone cell of observer |
-
2019
- 2019-04-25 CN CN201910339632.3A patent/CN110220674B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007205820A (en) * | 2006-01-31 | 2007-08-16 | Dainippon Printing Co Ltd | Inspecting device for color filter, and inspecting method for color filter |
| CN101527108A (en) * | 2009-04-17 | 2009-09-09 | 天津光电星球显示设备有限公司 | Measuring method for colorimetric parameters of LED display screen |
| CN102721471A (en) * | 2012-07-02 | 2012-10-10 | 河北工业大学 | Method for conversion of spectrum into chromaticity |
| CN103954362A (en) * | 2014-04-25 | 2014-07-30 | 杭州电子科技大学 | Digital colourimetry method based on imaging device |
| CN103955079A (en) * | 2014-04-28 | 2014-07-30 | 深圳市华星光电技术有限公司 | Method for obtaining brightness and chrominance of white of RGBW display device by using RGB display device |
| JP2017188780A (en) * | 2016-04-06 | 2017-10-12 | 株式会社Ｉｍａｇｉｃａ | Performance evaluation method and system for image display device |
| JP2018085626A (en) * | 2016-11-24 | 2018-05-31 | 川原 功 | Image for color signal band characteristic evaluation |
| CN109186946A (en) * | 2018-09-25 | 2019-01-11 | 厦门大学 | The measurement method and its measuring device of luminescent device microcell luminosity and chromatic value |
| CN109655233A (en) * | 2018-12-18 | 2019-04-19 | 厦门大学 | A kind of multichannel light spectrum image-forming display screen Systems for optical inspection and its detection method |
Non-Patent Citations (3)
| Title |
|---|
| 三芯片LED光谱效率性能优化研究;姚其;《激光与光电子学进展》;20150831(第8（2015）期);第324-330页 * |
| 不同显示器的蓝光危害及节律效应比较;杨超普 等;《激光与光电子学进展》;20171231(第12（2017）期);第384-390页 * |
| 显示屏蓝光健康评价及测量方法探讨;匿名;《百度文库https://wenku.baidu.com/view/6db51e6049d7c1c708a1284ac850ad02de800786.html》;20161215;正文第2页，第5-8页，图9-11，表1 * |
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|---|---|
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