Monochromatic speckle severity measurement system and method for human eye perception

Abstract

The invention provides a single-dispersion speckle severity measurement system and method for human eye perception, relates to the technical field of speckle perception condition measurement, and solves the technical problem that the severity of single-dispersion speckles associated with human eye perception cannot be measured in the prior art. The system specifically comprises a first light source, a second light source, a beam splitter, an attenuator, a beam combiner, a dodging and speckle suppression system and a screen assembly. The first light source generates coherent laser, and the second light source generates incoherent light; the beam splitter splits two light source lights into two sub-beams with equal light intensity, and the attenuator adjusts the light intensity of each sub-beam; the beam combiner fuses the corresponding sub-beams to form two mixed light fields, and the light uniformizing and speckle suppression system performs light uniformizing treatment on the mixed light fields; the screen assembly comprises a first screen assembly and a second screen assembly, can switch two or more screens, and respectively receives the two processed mixed light fields. The method and the device are used for measuring the speckle sensing condition severity.

Description

Technical Field

[0001] This application relates to the field of speckle perception measurement technology, and in particular to a monochrome speckle severity measurement system and method for human eye perception. Background Technology

[0002] Laser speckle can reduce display quality and cause eye fatigue, hindering the development of the laser display industry. Accurately measuring the human eye's perception of the severity of monochromatic speckle is crucial for optimizing speckle suppression technology. Existing technologies mainly determine the severity of monochromatic speckle by measuring speckle contrast, but do not utilize the human eye's speckle perception threshold for calibration, and also ignore the influence of speckle spatial structure on perception judgment. Furthermore, they lack corresponding psychophysical experimental measurement methods, resulting in measurement results that cannot truly reflect the actual perception of the human eye. Therefore, existing technologies have the technical problem of being unable to measure the severity of monochromatic speckle that is related to human eye perception. Summary of the Invention

[0003] This application provides a system and method for measuring the severity of monochromatic speckle based on human visual perception, which solves the technical problem that existing technologies cannot measure the severity of monochromatic speckle that is related to human visual perception.

[0004] To achieve the above objectives, this application adopts the following technical solution: In a first aspect, a monochromatic speckle severity measurement system for human eye perception is provided, comprising: a first light source, a second light source, a beam splitter, an attenuator, a beam combiner, a homogenization and speckle suppression system, and a screen assembly; wherein, the first light source is used to generate coherent laser light; the second light source is used to generate incoherent light; the beam splitter is used to split the coherent laser light into a first sub-beam and a second sub-beam, and to split the incoherent light light into a third sub-beam and a fourth sub-beam; the attenuator is used to adjust the light intensity of the first sub-beam, the second sub-beam, the third sub-beam, and the fourth sub-beam; the beam combiner is used to fuse the first sub-beam and the third sub-beam to form a first mixed light field, and to fuse the second sub-beam and the fourth sub-beam to form a second mixed light field; the homogenization and speckle suppression system is used to homogenize the first mixed light field and the second mixed light field; the screen assembly includes a first screen assembly and a second screen assembly, used to receive the homogenized first mixed light field and the second mixed light field respectively; both the first screen assembly and the second screen assembly are switchable screens.

[0005] In conjunction with the first aspect mentioned above, in one possible implementation, the intensity of the first sub-beam and the second sub-beam generated by the beam splitter can be changed according to their intensity ratio, and the intensity of the third sub-beam and the fourth sub-beam can be changed according to their intensity ratio.

[0006] In conjunction with the first aspect mentioned above, in one possible implementation, the beam combiner can also fuse the first sub-beam with the fourth sub-beam to form a first mixed optical field, and fuse the second sub-beam with the third sub-beam to form a second mixed optical field.

[0007] In conjunction with the first aspect mentioned above, in one possible implementation, the second light source is an LED light source or other incoherent light source, and the generated incoherent light will not produce speckle.

[0008] Secondly, a method for measuring the severity of monochromatic speckle patterns perceived by the human eye is provided, comprising: acquiring the light intensities of coherent laser and incoherent light; obtaining a mixing ratio based on the ratio of coherent laser light intensity to incoherent light intensity, and calculating the speckle contrast of the mixed light field based on the mixing ratio; determining a test scenario by adjusting the mixing ratio and screen components; the test scenario includes a first scenario, a second scenario, and a third scenario; acquiring the severity proportion P of the first screen component and the severity proportion 1-P of the second screen component under different scenarios; the severity proportion is the proportion of the number of times multiple observers select the more severe speckle pattern between the first screen component and the second screen component; converting the severity proportion P into a Z value, and quantifying the perceived difference in the severity of the speckle patterns between the first screen component and the second screen component based on the Z value.

[0009] In conjunction with the second aspect above, in one possible implementation, the speckle contrast of the mixed optical field is calculated according to the following formula:

[0010] Where i is the mixed light field index. For the i-th mixed light field speckle contrast, The speckle contrast of the first light source. The speckle contrast of the second light source. Let be the mixing ratio of the i-th mixed light field.

[0011] In conjunction with the second aspect above, in one possible implementation, the first scenario is that the two screen components are of the same type, and the speckle contrast of the first mixed light field and the second mixed light field are different; the second scenario is that after the speckle contrast of the same type of screen is calibrated to be consistent, one of the screen components is replaced with a different type; the third scenario is that the two screen components are of different types, and the speckle contrast of the first mixed light field and the second mixed light field are the same.

[0012] In conjunction with the second aspect above, in one possible implementation, the method further includes: when the test scenario is determined to be the first scenario, maintaining the brightness of the first screen component and the second screen component consistent.

[0013] In conjunction with the second aspect above, in one possible implementation, the severity proportion P is converted into a Z value, including: setting the severity proportion P as the upper limit of the integral of the standard cumulative normal distribution based on the standard cumulative normal distribution; calculating the standard normal distribution quantile corresponding to the upper limit of the integral to obtain the Z value.

[0014] In conjunction with the second aspect above, in one possible implementation, the speckle contrast value of the second light source satisfies the following... If the light field intensity is non-uniform, the speckle contrast of the second light source is non-zero; if the light field intensity is uniform, the speckle contrast of the second light source is zero.

[0015] Thirdly, a monochrome speckle severity measurement device for human eye perception is provided, comprising: a communication unit and a processing unit; the communication unit is used to acquire the light intensity of coherent laser and incoherent light; the processing unit is used to obtain a mixing ratio based on the ratio of coherent laser light intensity to incoherent light intensity, and to calculate the speckle contrast of the mixed light field based on the mixing ratio; a test scenario is determined by adjusting the mixing ratio and screen components; the test scenario includes a first scenario, a second scenario, and a third scenario; the severity proportion P of the first screen component and the severity proportion 1-P of the second screen component are acquired under different scenarios; the severity proportion is the proportion of the number of times multiple observers select the more severe speckle pattern of the first screen component and the second screen component; the severity proportion P is converted into a Z value, and the perceived difference in the severity of the speckle pattern of the first screen component and the second screen component is quantified based on the Z value.

[0016] This application provides a system and method for measuring the severity of monochrome speckle based on human visual perception. It can correlate with actual human visual perception and realize the quantitative measurement of the severity of monochrome speckle under different speckle contrasts and different speckle spatial distributions. It solves the technical problem that existing technologies cannot measure the severity of monochrome speckle correlated with human visual perception, and provides reliable data support for the optimization of speckle suppression technology.

[0017] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description

[0018] Figure 1 A system architecture diagram of a monochromatic speckle severity measurement system for human eye perception provided in this application embodiment; Figure 2 A flowchart illustrating a method for measuring the severity of monochromatic speckle based on human visual perception, provided in an embodiment of this application; Figure 3 A flowchart illustrating another method for measuring the severity of monochromatic speckle based on human visual perception, provided in an embodiment of this application; Figure 4 A schematic diagram of Z-value scoring based on a standard normal distribution table is provided for an embodiment of this application; Figure 5 This is a schematic diagram of a monochrome speckle severity measurement device for human eye perception, provided as an embodiment of this application. Detailed Implementation

[0019] In the description of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. The "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" means one or more, and "multiple" means two or more. The terms "first," "second," etc., do not limit the quantity or order of execution, and "first," "second," etc., do not necessarily imply differences.

[0020] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0021] The monochromatic speckle severity measurement method for human eye perception provided in this application embodiment can be applied to, for example... Figure 1 The monochromatic speckle severity measurement system shown includes: a laser source, an uncorrelated light source, a beam splitter, an attenuator, a beam combiner, a homogenization and speckle suppression system, screen 1, and screen 2.

[0022] The system comprises a laser source as the first light source, used to generate coherent laser light that produces speckle; an incoherent light source as the second light source, used to generate incoherent light that theoretically does not produce speckle; a beam splitter, used to perform intensity splitting operations on the coherent laser and incoherent light, allowing the intensity to be changed according to the intensity ratio, splitting the coherent laser into a first sub-beam and a second sub-beam, and the incoherent light into a third sub-beam and a fourth sub-beam; and attenuators deployed on the optical paths of each sub-beam, used to independently adjust the intensity of the first, second, third, and fourth sub-beams, thereby controlling the mixing ratio of coherent laser and incoherent light, and simultaneously calibrating the brightness of the light fields received on both screens to ensure brightness. Consistent; the beam combiner is used to fuse the split sub-beams into a mixed light field according to a preset combination. It can be selected to fuse the first sub-beam and the third sub-beam into a first mixed light field, and the second sub-beam and the fourth sub-beam into a second mixed light field, or the first sub-beam and the fourth sub-beam into a first mixed light field, and the second sub-beam and the third sub-beam into a second mixed light field; the homogenization and speckle suppression system is used to homogenize the two mixed light fields respectively to optimize the uniformity of the light field; screen 1 and screen 2 are switchable display carriers, which respectively receive the first mixed light field and the second mixed light field after homogenization and present the corresponding speckle pattern for the observer to compare and judge.

[0023] Preferably, the non-correlated light source is an LED light source, and the generated incoherent light will not produce speckle.

[0024] To address the technical problem that existing technologies cannot measure the severity of monochromatic speckle in relation to human visual perception, this application provides a method for measuring the severity of monochromatic speckle in relation to human visual perception. The method includes: acquiring the light intensity of coherent laser and incoherent light to determine the mixing ratio and speckle contrast of the mixed light field; constructing three types of test scenarios by adjusting the mixing ratio and screen components; statistically analyzing the selection results of speckle patterns on two screens by multiple observers to obtain the severity proportion P and 1-P; converting P into a Z value to quantify the perceived difference. Based on this, it is possible to accurately correlate with actual human visual perception, achieving quantitative measurement of the severity of monochromatic speckle under different speckle contrasts and different speckle spatial distribution scenarios, providing reliable data support for speckle suppression technology optimization.

[0025] like Figure 2 As shown in the embodiments of this application, the method for measuring the severity of monochromatic speckle based on human visual perception includes: S201. Obtain the light intensity of coherent laser and incoherent light.

[0026] The coherent laser is generated by the first light source (laser source), and the incoherent light is generated by the second light source (LED source). The light intensity is the light power per unit area.

[0027] In this embodiment, light intensity sensors are used and deployed in the optical paths of each sub-beam. Light intensity data are collected multiple times in a dark room environment, and the average value is taken as the final measurement value.

[0028] It should be noted that the light intensity sensor must be placed perpendicular to the direction of light beam propagation to avoid measurement errors caused by deviations in the incident angle.

[0029] As an example, the laser light source outputs coherent light with a wavelength of 532nm, while the LED light source outputs incoherent white light. The light intensity sensor measured the average light intensity of the laser sub-beam to be 8mW / cm² and the average light intensity of the LED sub-beam to be 12mW / cm², respectively.

[0030] Based on the above steps, the light intensity data of the two light sources are accurately obtained, providing accurate input for the calculation of the mixing ratio and speckle contrast.

[0031] S202. Obtain the mixing ratio based on the ratio of coherent laser intensity to incoherent light intensity, and calculate the speckle contrast of the mixed light field based on the mixing ratio.

[0032] Among them, the mixing ratio is the ratio of the intensity of coherent laser light to the intensity of incoherent light in the mixed light field, and the speckle contrast is the relative degree of intensity fluctuation in the speckle pattern, reflecting the unevenness of speckle brightness.

[0033] In this embodiment of the application, by Calculate the mixing ratio, where i is the index of the mixed light field. Let i be the mixing ratio of the i-th mixed light field. The intensity of the laser light. Given the incoherent light intensity, and combining it with the speckle contrast of each of the two light sources, the speckle contrast of the mixed light field is calculated.

[0034] Optionally, the speckle contrast of the laser source satisfies: The speckle contrast of an incoherent light source satisfies: ,in, The speckle contrast of the laser source. For speckle contrast of incoherent light sources, The average value of the laser light field. The standard deviation of the laser field. The mean value of the incoherent light field. The standard deviation of the incoherent light field.

[0035] And / or, the speckle contrast of the mixed optical field is calculated to satisfy the following formula:

[0036] in, For the i-th mixed light field speckle contrast, The standard deviation of light intensity in the mixed light field. The average light intensity of the mixed light field.

[0037] It should be noted that, theoretically, uncorrelated light such as LEDs will not produce speckle, i.e. However, considering that the intensity non-uniformity will be measured as speckle contrast in the actual measurement process, its actual value is not 0. Therefore, the speckle contrast of the second light source... .

[0038] As an example, it is known =0.4, =0.05, =8 / 12≈0.67, substituting into the formula, we get Ci≈0.24.

[0039] Based on the above steps, precise control of speckle contrast in mixed light fields can be achieved, providing controllable parameters for comparative testing in different scenarios.

[0040] S203. Determine the test scenario by adjusting the mixing ratio and screen components.

[0041] The test scenarios are used to specifically analyze the impact of speckle contrast and screen type on human visual perception, including three preset scenarios: the first scenario, the second scenario, and the third scenario.

[0042] In this embodiment, the mixing ratio is changed by adjusting the attenuators on each sub-beam path. The test scenarios were determined by changing the screen components and switching the screen type. The specific test scenarios were as follows: the first scenario was that the two screen components were of the same type, and the speckle contrast of the first mixed light field and the second mixed light field were different, while the brightness of the first screen component and the second screen component was kept consistent; the second scenario was that after the speckle contrast of the same type of screen was calibrated to be consistent, one of the screen components was replaced with a different type; the third scenario was that the two screen components were of different types, and the speckle contrast of the first mixed light field and the second mixed light field were the same.

[0043] It should be noted that the speckle contrast in each scene is measured using a speckle measurement device, and the consistency of the speckle contrast is determined based on the measurement results.

[0044] As an example, two LCD screens are constructed, and the attenuator is adjusted to make... =0.5、 =0.8, the speckle contrast of the two screens is different, which is the first scene; first, calibrate both screens as LCD screens to make the speckle contrast consistent, and then replace the second screen with an OLED screen to construct the second scene; construct the first screen as an LCD screen and the second screen as an OLED screen, and adjust the attenuator to make the speckle contrast equal, which is the third scene.

[0045] Based on the above steps, a test scenario covering the core influencing factors is constructed, and the scenario parameters are controllable and the comparison conditions are fair, ensuring the validity of the test results.

[0046] S204. Obtain the severity percentage P of the first screen component and the severity percentage 1-P of the second screen component under different scenarios.

[0047] Wherein, the severity proportion P is the proportion of the total number of times multiple observers selected the first screen where the speckle was more severe out of the total number of valid selections, and 1-P is the proportion of those who selected the second screen.

[0048] In this embodiment of the application, 15 observers with normal vision were selected. Each person independently observed each test scenario 5 times. The selection results were recorded after each observation, and invalid data such as accidental touches and incomplete observations were removed.

[0049] As an example, 15 observers observed the third scene 5 times, with a total of 75 valid choices. Among them, 39 of the choices were that the speckle on the first screen was more severe, P=39 / 75=0.52, 1-P=0.48.

[0050] Based on the above steps, the correlation between speckle contrast and human visual perception was quantified by analyzing the severity proportion of three scenarios, the impact of screen characteristics on speckle perception was evaluated, and the perceptual effect of spatial distribution differences was quantified.

[0051] S205. Convert the severity percentage P into a Z value, and quantify the perceived difference in the severity of speckle patterns between the first screen component and the second screen component based on the Z value.

[0052] Among them, the Z value is a standardized quantitative indicator used to intuitively reflect the relative severity of different speckle patterns.

[0053] In this embodiment of the application, the severity proportion P is converted into a Z value based on the standard cumulative normal distribution, and the difference is perceived by comparing the magnitude of the Z values.

[0054] It should be noted that the Z-score is positively correlated with the perceived severity; that is, the larger the Z-score, the higher the probability that the corresponding speckle pattern is perceived as more severe.

[0055] Based on the above steps, subjective perception and judgment are transformed into objective quantitative data, enabling accurate comparison of perceived differences in the severity of speckle.

[0056] Based on the above technical solution, the measurement of the severity of monochrome speckle related to human eye perception has been realized. It not only covers key influencing factors such as speckle contrast and screen type, but also reduces subjective bias through standardization methods. It solves the technical problem that existing technologies cannot measure the severity of monochrome speckle related to human eye perception, and provides a reliable quantitative basis for speckle suppression technology optimization.

[0057] In one possible implementation of the embodiments of this application, combined with Figure 2 ,like Figure 3 As shown, the conversion of the severity ratio P to the Z value in S205 above can be achieved through the following S301 and S302, which are explained in detail below: S301. Based on the standard cumulative normal distribution, the severity percentage P is set as the upper limit of the integral of the standard cumulative normal distribution.

[0058] The standard cumulative normal distribution is a cumulative probability distribution of a normal distribution with a mean of 0 and a variance of 1. The upper limit of integration is the final value of the cumulative integration of this distribution.

[0059] In this application embodiment, the standard cumulative normal distribution function commonly used in statistics is adopted. As the conversion benchmark, the severity percentage P obtained from S204 is directly substituted and set to... The upper limit of integration, that is, satisfying (Z) = P (Z is the quantile to be determined).

[0060] It should be noted that the value of P must be between 0 and 1. If it exceeds this range, the validity of the data selected by the observer needs to be investigated.

[0061] As an example, if P = 0.7357, then 0.7357 is set as the standard cumulative normal distribution. The maximum number of points, i.e. (Z)=0.7357.

[0062] Based on the above steps, the relationship between P and Z values ​​is clarified, ensuring the standardization and uniformity of the conversion process.

[0063] S302. Calculate the standard normal distribution quantile corresponding to the upper limit of integration to obtain the Z value.

[0064] In this embodiment of the application, Z= (P), or obtain the Z value by looking up the standard normal distribution table.

[0065] As an example, such as Figure 4 As shown, for P=0.7357, Z=0.63 is obtained by looking up the standard normal distribution table.

[0066] Based on the above steps, the subjective statistical P-value is transformed into the objective quantitative Z-value, thereby achieving a precise representation of perceived differences.

[0067] Based on the above technical solution, a standardized distribution transformation process is used to convert the observer's subjective selection results into quantifiable and comparable Z-values, ensuring the objectivity and accuracy of the measurement of differences in the perceived severity of speckle.

[0068] The foregoing primarily describes the solutions of the embodiments of this application from the perspective of device implementation. It is understood that each device, such as a monochromatic speckle severity measurement device for human eye perception, includes at least one of the hardware structures and software modules corresponding to each function in order to achieve the above-mentioned functions. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is implemented in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0069] This application embodiment can divide the monochromatic speckle severity measurement device for human eye perception into functional units based on the above method example. For example, each function can be divided into separate functional units, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0070] When using integrated units, Figure 5 A possible structural schematic diagram of the monochromatic speckle severity measurement device (denoted as monochromatic speckle severity measurement device 50 for human eye perception) involved in the above embodiments is shown. The monochromatic speckle severity measurement device 50 for human eye perception includes a processing unit 501 and a communication unit 502, and may also include a storage unit 503. Figure 5 The schematic diagram shown can be used to illustrate the structure of the monochromatic speckle severity measurement device for human eye perception involved in the above embodiments.

[0071] when Figure 5The schematic diagram shown illustrates the structure of the monochromatic speckle severity measurement device for human eye perception involved in the above embodiments. The processing unit 501 is used to control and manage the operation of the monochromatic speckle severity measurement device for human eye perception, the communication unit 502 is used for the monochromatic speckle severity measurement device for human eye perception to communicate with other devices, and the storage unit 503 is used to store the program code and data of the monochromatic speckle severity measurement device for human eye perception.

[0072] For example, communication unit 502 is used to acquire the light intensity of coherent laser and incoherent light; Processing unit 501 is used to obtain a mixing ratio based on the ratio of coherent laser light intensity to incoherent light intensity, and calculate the speckle contrast of the mixed light field based on the mixing ratio; by adjusting the mixing ratio and screen components, a test scene is determined; the test scene includes a first scene, a second scene, and a third scene; the severity proportion P of the first screen component and the severity proportion 1-P of the second screen component are obtained in different scenes respectively; the severity proportion is the proportion of the number of times multiple observers observe the speckle pattern of the first screen component and the second screen component and choose the more severe one; the severity proportion P is converted into a Z value, and the perceived difference in the severity of the speckle pattern of the first screen component and the second screen component is quantified based on the Z value.

[0073] In one possible implementation, the speckle contrast of the mixed optical field is calculated according to the following formula:

[0074] Where i is the mixed light field index. For the i-th mixed light field speckle contrast, The speckle contrast of the first light source. The speckle contrast of the second light source. Let be the mixing ratio of the i-th mixed light field.

[0075] In one possible implementation, the first scenario is that the two screen components are of the same type, and the speckle contrast of the first mixed light field and the second mixed light field are different; the second scenario is that after the speckle contrast of the same type of screen is calibrated to be consistent, one of the screen components is replaced with a different type; the third scenario is that the two screen components are of different types, and the speckle contrast of the first mixed light field and the second mixed light field are the same.

[0076] In one possible implementation, the processing unit 501 is further configured to maintain consistent brightness between the first screen component and the second screen component when the test scenario is determined to be the first scenario.

[0077] In one possible implementation, the processing unit 501 is further configured to convert the severity proportion P into a Z value, including: setting the severity proportion P as the upper limit of the integral of the standard cumulative normal distribution based on the standard cumulative normal distribution; calculating the standard normal distribution quantile corresponding to the upper limit of the integral to obtain the Z value.

[0078] In one possible implementation, the speckle contrast value of the second light source satisfies the following... If the light field intensity is non-uniform, the speckle contrast of the second light source is non-zero; if the light field intensity is uniform, the speckle contrast of the second light source is zero.

[0079] The processing unit 501 can be a processor or a controller, and the communication unit 502 can be a communication interface, transceiver, transceiver circuit, transceiver device, etc. The term "communication interface" is a general term and may include one or more interfaces. The storage unit 503 can be a memory. When the monochromatic speckle severity measurement device 50 for human eye perception is a chip, the processing unit 501 can be a processor or a controller, and the communication unit 502 can be an input interface and / or an output interface, pins, or circuits, etc. The storage unit 503 can be a storage unit within the chip (e.g., a register, cache, etc.) or a storage unit located outside the chip (e.g., read-only memory (ROM), random access memory (RAM, etc.).

[0080] The communication unit can also be called a transceiver unit. The antenna and control circuit with transceiver functions in the monochromatic speckle severity measurement device 50 for human eye perception can be considered as the communication unit 502 of the monochromatic speckle severity measurement device 50 for human eye perception, and the processor with processing functions can be considered as the processing unit 501 of the monochromatic speckle severity measurement device 50 for human eye perception. Optionally, the device in the communication unit 502 used to implement the receiving function can be considered as the communication unit, which is used to execute the receiving steps in the embodiments of this application. The communication unit can be a receiver, a receiver circuit, etc. The device in the communication unit 502 used to implement the transmitting function can be considered as the transmitting unit, which is used to execute the transmitting steps in the embodiments of this application. The transmitting unit can be a transmitter, a transmitter, a transmitting circuit, etc.

[0081] Figure 5If the integrated units in the process are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. Storage media for storing computer software products include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.

[0082] Figure 5 The units in the process can also be called modules; for example, a processing unit can be called a processing module.

[0083] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0084] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

Claims

1. A monochromatic speckle severity measurement system for human visual perception, characterized in that, include: First light source, second light source, beam splitter, attenuator, beam combiner, homogenization and speckle suppression system, screen assembly; The first light source is used to generate coherent laser light; The second light source is used to generate incoherent light; The beam splitter is used to split the coherent laser beam into a first sub-beam and a second sub-beam, and to split the incoherent light beam into a third sub-beam and a fourth sub-beam. The attenuator is used to adjust the light intensity of the first sub-beam, the second sub-beam, the third sub-beam, and the fourth sub-beam. The beam combiner is used to fuse the first sub-beam and the third sub-beam to form a first mixed optical field, and to fuse the second sub-beam and the fourth sub-beam to form a second mixed optical field. The light homogenization and speckle suppression system is used to homogenize the first mixed light field and the second mixed light field. The screen assembly includes a first screen assembly and a second screen assembly, which are used to receive the first mixed light field and the second mixed light field after light homogenization processing, respectively; both the first screen assembly and the second screen assembly are switchable screens.

2. The monochromatic speckle severity measurement system for human eye perception according to claim 1, characterized in that, The intensity of the first and second sub-beams generated by the beam splitter can be changed according to their intensity ratio, and the intensity of the third and fourth sub-beams can also be changed according to their intensity ratio.

3. The monochromatic speckle severity measurement system for human eye perception according to claim 1, characterized in that, The beam combiner can also fuse the first sub-beam and the fourth sub-beam to form a first mixed optical field, and fuse the second sub-beam and the third sub-beam to form a second mixed optical field.

4. The monochromatic speckle severity measurement system for human eye perception according to claim 1, characterized in that, The second light source is an LED light source or other incoherent light source, and the incoherent light produced will not produce speckle.

5. A method for measuring the severity of monochromatic speckle based on human eye perception, applied to the monochromatic speckle severity measurement system for human eye perception as described in any one of claims 1-4, characterized in that, The method includes: Obtain the light intensity of coherent laser and incoherent light; The mixing ratio is obtained based on the ratio of coherent laser intensity to incoherent light intensity, and the speckle contrast of the mixed light field is calculated based on the mixing ratio. The test scenario is determined by adjusting the mixing ratio and the screen component; the test scenario includes a first scenario, a second scenario, and a third scenario. The severity percentage P of the first screen component and the severity percentage 1-P of the second screen component are obtained in different scenarios respectively; the severity percentage is the percentage of the number of times multiple observers observe the speckle pattern of the first screen component and the second screen component and find that the speckle pattern is more severe. The severity percentage P is converted into a Z value, and the perceived difference in the severity of speckle patterns between the first screen component and the second screen component is quantified based on the Z value.

6. The method according to claim 5, characterized in that, The calculation of the speckle contrast of the mixed optical field satisfies the following formula: Where i is the mixed light field index. For the i-th mixed light field speckle contrast, The speckle contrast of the first light source. For the speckle contrast of the second light source, Let be the mixing ratio of the i-th mixed light field.

7. The method according to claim 5, characterized in that, The first scenario is that the two screen components are of the same type, and the speckle contrast of the first mixed light field and the second mixed light field are different; the second scenario is that after the speckle contrast of the same type of screen is calibrated to be consistent, one of the screen components is replaced with a different type; the third scenario is that the two screen components are of different types, and the speckle contrast of the first mixed light field and the second mixed light field are the same.

8. The method according to claim 7, characterized in that, The method further includes: when the test scenario is determined to be the first scenario, maintaining the brightness of the first screen component and the second screen component is consistent.

9. The method according to claim 5, characterized in that, Converting the severity percentage P to a Z value includes: Based on the standard cumulative normal distribution, the severity ratio P is set as the upper limit of the integral of the standard cumulative normal distribution; Calculate the standard normal distribution quantile corresponding to the upper limit of the integral to obtain the Z value.

10. The method according to claim 6, characterized in that, The speckle contrast of the second light source satisfies the following values: If there is non-uniformity in the light field intensity, the speckle contrast of the second light source will be non-zero. If the light field intensity is uniform, then the speckle contrast of the second light source is 0.

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