Color speckle acquisition method suitable for actual laser display

Abstract

The invention provides a color speckle acquisition method suitable for actual laser display, relates to the technical field of color speckle acquisition, and solves the technical problems of high requirements on speckle measurement equipment and large measurement workload caused by directly acquiring color speckle data under various colors in the prior art. The method comprises the following steps: measuring a base dispersion speckle to obtain a speckle intensity distribution matrix; obtaining the maximum value of the stimulation values of the three primary colors XYZ, and calculating the proportion of the stimulation values of the three primary colors of the target color in the maximum value of the stimulation values of the three primary colors to obtain different colors; and performing matrix multiplication on the proportion and the distribution matrix, and obtaining color speckle data under different colors and different brightness by adjusting the proportion. The method is used in the color speckle obtaining process, the color speckle data under all conditions can be calculated only by measuring the base color speckle data and the base color information of the laser display device, and the workload can be greatly reduced compared with direct measurement.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of color speckle acquisition, and particularly relates to a color speckle acquisition method suitable for actual laser display. BACKGROUND

[0002] Laser has become an excellent display light source due to its high brightness, large color gamut and long service life. However, the speckle phenomenon caused by laser will reduce the image display quality, cause eye fatigue and restrict the development of the laser display industry. The laser speckle phenomenon is an interference phenomenon caused by the high coherence of laser, which is generally manifested as speckles with different intensities. Therefore, many speckle suppression methods and technologies have been proposed to suppress speckles to an unobservable level for the human eye, so as to solve the negative effects caused by speckles.

[0003] In actual laser display, color content is usually displayed, and at this time, not only monochromatic speckles exist, but also color speckle phenomena are more common, which are formed by superimposing multiple speckles of different primary colors. At this time, the speckle particles will not only have different intensities, but also different colors. For example, a Chinese patent with the publication number CN117990346B discloses the analysis of color speckles at the white balance point, but cannot acquire the color speckle properties under all color conditions. Therefore, how to acquire color speckle information under various color conditions has become a technical problem to be solved. SUMMARY

[0004] The application provides a color speckle acquisition method suitable for actual laser display, which solves the technical problems that the direct acquisition of color speckle data under various color conditions in the prior art requires high speckle measurement equipment and has a large measurement workload.

[0005] To achieve the above purpose, the application adopts the following technical solutions:

[0006] In a first aspect, a color speckle acquisition method suitable for actual laser display is provided, comprising:

[0007] S1, measuring the primary color speckles of laser to obtain the speckle intensity distribution matrix of RGB three primary colors;

[0008] S2, acquiring the maximum value of the three primary color stimulus values, and calculating the proportion ratio α of the three primary color stimulus values of the target color in the maximum value of the three primary color stimulus values R,G,B ; wherein the α R,G,B comprises α R , α G and α B ;

[0009] S3, performing matrix multiplication on the proportion ratio α R,G,B and the column vector of the speckle intensity distribution matrix to obtain speckle data;

[0010] S4, adjusting the proportion ratio α R,G,B The speckle data is obtained under different colors and different brightnesses.

[0011] In combination with the first aspect, in a possible implementation manner, the speckle intensity distribution matrix of the three primary colors includes E R , E G , and E B .

[0012]

[0013] E R , E G , and E B represent the two-dimensional intensity distribution of the three primary color speckles.

[0014] In combination with the first aspect, in a possible implementation manner, all the measurement settings remain consistent except that the primary color lasers are different in the process of measuring the primary color speckles.

[0015] In combination with the first aspect, in a possible implementation manner, the manner of obtaining the maximum value of the three primary color stimulus values is as follows: obtaining a white balance point of the three primary color spectra and the laser, performing a matching calculation according to the three primary color spectra and the white balance point, and obtaining the maximum value of the three primary color stimulus values.

[0016] In combination with the first aspect, in a possible implementation manner, the manner of performing the matching calculation according to the three primary color spectra and the white balance point is as follows:

[0017] X R,G,B , Y R,G,B , and Z R,G,B are the stimulus values of RGB three primary colors respectively; and are the spectral weight functions defined by the CIE1931 standard and representing the standard response of the human eye to color; S R,G,B (λ) represents the normalized spectral power distribution function of the red-green-blue laser source; r R,G,B is the matching power ratio of the three primary colors; and λ is the wavelength.

[0018] In combination with the first aspect, in a possible implementation manner, the matching power ratio r R,G,B of the three primary colors includes r R , r G , and r B , and satisfies: r R +r G +r B =1.

[0019] In a possible implementation of the first aspect, the three primary color stimulus values corresponding to the target color are obtained by a spectroradiometer.

[0020] In a possible implementation of the first aspect, the color speckle data is represented as:

[0021] wherein X, Y and Z are the tristimulus values of the color speckle particles, and α R , α G and α B are the mixing ratios of the respective colors in the RGB three channels, X R,G,B , Y R,G,B and Z R,G.B are the tristimulus values of the RGB three channels, and E R,G,B represents the normalized speckle intensity distribution matrix.

[0022] In a possible implementation of the first aspect, the color speckle data is represented as:

[0023] In a possible implementation of the first aspect, the method for obtaining the normalized speckle intensity distribution matrix is: normalizing the mean values of the speckle intensity distribution matrix to obtain the normalized speckle intensity distribution matrix.

[0024] Based on the above technical solution, in the color speckle acquisition method suitable for actual laser display provided in the present application, only the primary color speckle data and the primary color color information of the laser display device need to be measured, and then the color speckle data under all conditions can be calculated by simulating the color display process of the display device, thereby providing complete color speckle data for the color speckle analysis and evaluation of the speckle measurement device, and a great amount of work can be saved compared with direct measurement.

[0025] In a second aspect, an electronic device is provided, comprising a communication unit and a processing unit; the communication unit is configured to obtain a speckle intensity distribution matrix of three primary colors and a maximum value of tristimulus values of the three primary colors;

[0026] The processing unit is configured to calculate a proportion α R,G,B of the tristimulus values of a target color in the maximum value of the tristimulus values of the three primary colors; wherein the α R,G,B comprises α R , α G and α B ; and perform matrix multiplication of the proportion α R,G,B and a column vector of the speckle intensity distribution matrix, so as to obtain the color speckle data under different colors and different brightnesses by adjusting the α values corresponding to the respective primary colors.

[0027] In a third aspect, the present application provides an electronic device, comprising: a processor and a storage medium; the storage medium comprises instructions, and the processor is configured to execute the instructions to implement the method described in the first aspect and any possible implementation manner of the first aspect. The electronic device can be an electronic device or a chip in the electronic device.

[0028] In a fourth aspect, the present application provides a color speckle acquisition system suitable for actual laser display, comprising: a data acquisition module, a calculation module and an output module; wherein the data acquisition module is configured to acquire a three-primary-color speckle intensity distribution matrix and maximum values of three-primary-color stimulus values; the calculation module is configured to calculate a proportion ratio α of a three-primary-color stimulus value of a target color in the maximum values of the three-primary-color stimulus values R,G,B ; wherein the α R,G,B comprises α R , α G and α B ; and the output module is configured to perform matrix multiplication on the proportion ratio α R,G,B and a column vector of the speckle intensity distribution matrix to obtain speckle data; and obtain color speckle data of the speckle data under different colors and different brightnesses through the proportion ratio α R,G,B .

[0029] In a fifth aspect, the present application provides a computer readable storage medium, and the computer readable storage medium stores instructions, and when the instructions are executed on an electronic device, the electronic device executes the method described in the first aspect and any possible implementation manner of the first aspect.

[0030] In a sixth aspect, the present application provides a computer program product comprising instructions, and when the computer program product is executed on an electronic device, the electronic device executes the method described in the first aspect and any possible implementation manner of the first aspect.

[0031] The present application provides a color speckle acquisition method suitable for actual laser display, which only needs to measure the base color speckle data and base color information of the laser display device, and then can calculate the color speckle data under all conditions through simulation of the color display process of the display device, thereby providing complete color speckle data for color speckle analysis and evaluation of the speckle measurement device, and saving a great amount of work compared with direct measurement.

[0032] It should be understood that the descriptions of technical features, technical solutions, advantages or the like in the present application do not imply that all features and advantages can be achieved in any single embodiment. Instead, it can be understood that the description of a feature or advantage means that the specific technical feature, technical solution or advantage is included in at least one embodiment. Therefore, the description of technical features, technical solutions or advantages in the specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and advantages described in the embodiments can be combined in any appropriate manner. Those skilled in the art will understand that the embodiments can be implemented without one or more specific technical features, technical solutions or advantages of a specific embodiment. In other embodiments, additional technical features and advantages can be identified in specific embodiments that do not embody all embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 A system architecture diagram of a color speckle acquisition system provided by an embodiment of the present application;

[0034] Figure 2 A flowchart of a color speckle acquisition method suitable for actual laser display provided by an embodiment of the present application;

[0035] Figure 3 A structural schematic diagram of an electronic device provided by an embodiment of the present application;

[0036] Figure 4 A hardware structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0037] In the description of the present application, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this document is only a description of the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, "at least one" means one or more, and "multiple" means two or more. "First", "second", etc. do not limit the quantity and execution order, and "first", "second", etc. do not necessarily mean different.

[0038] It should be noted that in the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance or illustration. Any embodiment or design solution described as "exemplary" or "for example" in the present application should not be interpreted as more preferred or advantageous than other embodiments or design solutions. Rather, the use of "exemplary" or "for example" is intended to present the relevant concept in a specific manner.

[0039] The color speckle acquisition method provided by the embodiment of the application is applicable to actual laser display. Figure 1 The communication system includes an information grabbing terminal 101, a remote computing device 102, and an edge computing node 103. Figure 1 The communication system includes an information grabbing terminal 101, a remote computing device 102, and an edge computing node 103.

[0040] The information grabbing terminal 101 is configured to acquire a three-primary-color speckle intensity distribution matrix and a maximum value of three-primary-color stimulus values.

[0041] The remote computing device 102 is configured to calculate a proportion ratio alpha of a three-primary-color stimulus value of a target color to the maximum value of the three-primary-color stimulus values. R,G,B The alpha includes alpha, alpha, and alpha. R,G,B The alpha includes alpha, alpha, and alpha. R G B

[0042] The edge computing node 103 is configured to perform matrix multiplication of the proportion ratio alpha and column vectors of the speckle intensity distribution matrix to obtain speckle data. R,G,B The edge computing node 103 is configured to perform matrix multiplication of the proportion ratio alpha and column vectors of the speckle intensity distribution matrix to obtain speckle data. R,G,B

[0043] To solve the technical problems of high requirements on speckle measurement equipment and large measurement workload in directly acquiring color speckle data under various colors in the prior art, the embodiment of the application provides a color speckle acquisition method applicable to actual laser display. R,G,B The alpha includes alpha, alpha, and alpha. R,G,B The alpha includes alpha, alpha, and alpha. R The alpha includes alpha, alpha, and alpha. G The alpha includes alpha, alpha, and alpha. B The alpha includes alpha, alpha, and alpha. R,G,B The alpha includes alpha, alpha, and alpha. R,G,B The alpha includes alpha, alpha, and alpha.

[0044] The color speckle acquisition method provided by the embodiment of the application is applicable to actual laser display. Figure 2 ​​​​As shown, the color speckle acquisition method suitable for actual laser display provided by the embodiment of the application comprises the following steps.

[0045] S201, measuring the base color speckles of the laser to obtain the speckle intensity distribution matrix of the RGB three base colors.

[0046] It should be noted that all settings should be consistent except that the base color lasers are different in the measurement of the base color speckle data, so that the spatial positions corresponding to each position of the speckle matrix of different base colors are mutually corresponding, that is, consistent with the superposition of the speckles generated by each base color in the actual color display process.

[0047] In a possible implementation manner of the embodiment of the application, the speckle intensity distribution matrix of the three base colors is as follows.

[0048] wherein, E R , E G and E B represent the two-dimensional intensity distribution of the three base color speckles.

[0049] In some implementation manners, the matrix can be changed into one-dimensional data in sequence when the data is calculated, and the one-dimensional array is converted into the original matrix format in sequence after the processing is completed, without losing any information.

[0050] S202, obtaining the maximum value of the three base color stimulus values, and calculating the proportion ratio α of the three base color stimulus values of the target color to the maximum value of the three base color stimulus values R,G,B .

[0051] wherein, the α R,G,B comprises α R , α G and α B .

[0052] It should be noted that the value range of the proportion ratio is between 0 and 1.

[0053] In some implementation manners, the three base color stimulus values corresponding to the target color can be measured and obtained by a spectroradiometer.

[0054] In a possible implementation manner of the embodiment of the application, the maximum value of the three base color stimulus values is obtained in the following manner: obtaining the white balance point of the three base color spectrum and the laser, performing matching calculation according to the three base color spectrum and the white balance point to obtain the maximum value of the three base color stimulus values.

[0055] wherein, the base color spectrum can be measured by a spectrometer or a device specially used for measuring color, and the device white balance point is measured by a color measuring device;

[0056] In a possible implementation of the embodiment of the present application, the way of performing the calculation of the color matching according to the three primary color spectra and the white balance point is as follows:

[0057] wherein X R,G,B , Y R,G,B and Z R,G,B are the stimulus values of the RGB three primary colors respectively; and are the spectral weight functions representing the standard response of the human eye to color, defined by CIE1931 standard; S R,G,B (λ) represents the normalized spectral power distribution function of the red-green-blue laser source; r R,G,B is the power matching ratio of the three primary colors; and λ is the wavelength.

[0058] It should be noted that the power matching ratio of the three primary colors is determined by the white balance point of the device, and the matching rule of the power matching ratio is as follows: r R +r G +r B =1.

[0059] S203, perform matrix multiplication on the proportion ratio α R,G,B and the column vector of the speckle intensity distribution matrix to obtain speckle data.

[0060] It should be noted that before performing the matrix multiplication, it is necessary to ensure that the two matrices are compatible in the multiplication dimension, that is, the number of columns of the proportion ratio matrix must be equal to the number of rows of the speckle intensity distribution matrix (or after transposition).

[0061] S204, obtain color speckle data under different colors and different brightnesses by adjusting α R,G,B .

[0062] wherein different colors correspond to different α values, the XYZ values of the color to be calculated are determined, and the α values of the corresponding RGB three channels are calculated according to the calculation.

[0063] In a possible implementation of the embodiment of the present application, the color speckle data is represented as follows:

[0064] wherein X, Y and Z are the tristimulus values of the color speckle particles, α R , α G and α B are the mixing ratios of the colors in the RGB three channels respectively, X R,G,B , Y R,G,B and Z R,G.B are the tristimulus values of the RGB three channels, and E R,G,B represents the normalized speckle intensity distribution matrix.

[0065] In some implementations, the representation of the color speckle data can also be:

[0066]

[0067] The method for obtaining the normalized speckle intensity distribution matrix is: normalizing each mean value of the speckle intensity distribution matrix to obtain the normalized speckle intensity distribution matrix.

[0068] Based on the above technical solutions, in the color speckle acquisition method suitable for actual laser display provided by the present application, only after the primary color speckle data and the primary color color information of the laser display device are measured, the color speckle data in all cases can be calculated through simulation of the color display process of the display device, complete color speckle data is provided for color speckle analysis and evaluation of the speckle measurement device, and great workload can be saved compared with direct measurement.

[0069] The above describes the solutions of the embodiments of the present application mainly from the perspective of device implementation. It can be understood that each device, for example, an electronic device, contains at least one of a corresponding hardware structure and a software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments disclosed herein, the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solutions. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0070] The embodiments of the present application can divide the functional units of the electronic device according to the above method examples, for example, each functional unit can be divided according to each function, or two or more functions can be integrated in one processing unit. The integrated unit can be realized in the form of hardware or software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division. There can be another division method in actual implementation.

[0071] In the case of integrated units, Figure 3 A possible structure schematic diagram of the electronic device (denoted as electronic device 30) involved in the above embodiments is shown, the electronic device 30 includes a processing unit 301 and a communication unit 302, and can also include a storage unit 303. Figure 3 The structure schematic diagram shown can be used to illustrate the structure of the electronic device involved in the above embodiments.

[0072] When Figure 3The structural schematic diagram shown is used to show the structure of the electronic device involved in the above embodiment. The processing unit 301 is used to control and manage the action of the electronic device. The communication unit 302 is used for communication between the electronic device and other devices. The storage unit 303 is used to store the program code and data of the electronic device.

[0073] For example, the communication unit 302 is used to obtain the speckle intensity distribution matrix of the three primary colors and the maximum value of the three primary color stimulus values.

[0074] The processing unit 302 is used to calculate the proportion of the three primary color stimulus values of the target color in the maximum value of the three primary color stimulus values, that is, the proportion of the target color in the maximum value of the three primary color stimulus values. R,G,B ; wherein the alpha R,G,B includes alpha R , alpha G and alpha B ; the proportion of alpha R,G,B is multiplied by the column vector of the speckle intensity distribution matrix to obtain the color speckle data under different colors and different brightnesses by adjusting the alpha value corresponding to each primary color.

[0075] The processing unit 301 can be a processor or a controller, and the communication unit 302 can be a communication interface, a transceiver, a transceiver, a transceiver circuit, a transceiver device, etc. The communication interface is a general term and can include one or more interfaces. The storage unit 303 can be a memory. When the electronic device 30 is a chip, the processing unit 301 can be a processor or a controller, and the communication unit 302 can be an input interface and / or an output interface, a pin or a circuit, etc. The storage unit 303 can be a storage unit (such as a register, a cache, etc.) within the chip, or a storage unit (such as a read-only memory (ROM), a random access memory (RAM), etc.) located outside the chip.

[0076] The communication unit can also be referred to as a transceiving unit. The antenna and control circuit with transceiving function in the electronic device 30 can be regarded as the communication unit 302 of the electronic device 30, and the processor with processing function can be regarded as the processing unit 301 of the electronic device 30. Optionally, the device for realizing the receiving function in the communication unit 302 can be regarded as a communication unit, and the communication unit is used to execute the receiving steps in the embodiments of the application. The communication unit can be a receiver, a receiver, a receiving circuit, etc. The device for realizing the sending function in the communication unit 302 can be regarded as a sending unit, and the sending unit is used to execute the sending steps in the embodiments of the application. The sending unit can be a transmitter, a sender, a sending circuit, etc.

[0077] Figure 3The units in the above embodiments can be stored in a computer readable storage medium if the units are implemented in the form of software function modules and sold or used as independent products. Based on such an understanding, the technical solutions of the embodiments of the present application essentially or partially, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods described in the embodiments of the present application. The storage medium storing the computer software product includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk, or an optical disk.

[0078] Figure 3 The units in the above embodiments can also be referred to as modules, for example, the processing unit can be referred to as a processing module.

[0079] The embodiments of the present application also provide a hardware structure diagram of an electronic device (denoted as electronic device 40), referring to Figure 4 The electronic device 40 includes a processor 401, and optionally further includes a memory 402 connected with the processor 401.

[0080] In a first possible implementation manner, referring to Figure 4 The electronic device 40 further includes a transceiver 403. The processor 401, the memory 402, and the transceiver 403 are connected through a bus. The transceiver 403 is configured to communicate with other devices or communication networks. Optionally, the transceiver 403 can include a transmitter and a receiver. The device for implementing the receiving function in the transceiver 403 can be regarded as a receiver, and the receiver is configured to perform the steps of receiving in the embodiments of the present application. The device for implementing the sending function in the transceiver 403 can be regarded as a transmitter, and the transmitter is configured to perform the steps of sending in the embodiments of the present application.

[0081] Based on the first possible implementation manner, Figure 4 The structure diagram shown in the above embodiments can be used to illustrate the structure of the electronic device.

[0082] Among them, Figure 4 The system chip in the electronic device can also be illustrated. In this case, the actions performed by the above electronic device can be implemented by the system chip, and the specific actions performed can be referred to in the above, and will not be described here.

[0083] In the implementation process, each step in the method provided by the embodiment can be completed by the integrated logic circuit of hardware in the processor or the instruction in the form of software. The steps of the method disclosed by the embodiment of the present application can be directly embodied as hardware processor execution completion, or execution completion by hardware and software module combination in the processor.

[0084] The processor in the present application can include but is not limited to at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), a microcontroller (MCU), or various types of computing devices running software, such as artificial intelligence processors, each of which can include one or more cores for executing software instructions to perform operations or processing. The processor can be a separate semiconductor chip, or can be integrated with other circuits as a semiconductor chip, for example, it can form a SoC (system on chip) with other circuits such as coding and decoding circuits, hardware acceleration circuits or various bus and interface circuits, or it can be integrated as a built-in processor in the ASIC. The ASIC integrated with the processor can be packaged separately or packaged together with other circuits. In addition to including cores for executing software instructions to perform operations or processing, the processor can further include necessary hardware accelerators, such as field programmable gate arrays (FPGAs), PLDs (programmable logic devices), or logic circuits that implement special logic operations.

[0085] The memory in the embodiment of the present application can include at least one of the following types: read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, and electrically erasable programmable read-only memory (EEPROM). In some scenarios, the memory can also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited to this.

[0086] The embodiment of the present application further provides a computer readable storage medium, comprising instructions which, when executed on a computer, cause the computer to perform any of the above methods.

[0087] The embodiment of the present application further provides a computer program product comprising instructions which, when executed on a computer, cause the computer to perform any of the above methods.

[0088] The embodiment of the present application further provides a chip, comprising a processor and an interface circuit, wherein the interface circuit is coupled with the processor, the processor is configured to execute a computer program or instructions to implement the above method, and the interface circuit is configured to communicate with other modules outside the chip.

[0089] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer readable storage medium can be any available medium that can be accessed by a computer or data storage device including one or more servers, data centers, etc. integrated with the medium. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0090] Although the present application is described herein in conjunction with various embodiments, other variations of the disclosed embodiments can be understood and implemented by those skilled in the art through viewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "one" does not exclude a plurality. A single processor or other unit can implement several functions listed in the claims. Some measures described in mutually different dependent claims can be combined and produce a good result.

[0091] Although the application has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the scope of the application. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation, as it should be understood that various modifications and equivalents can be used without departing from the spirit and scope of the application. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

Claims

1. A color speckle acquisition method suitable for practical laser display, characterized in that, The method comprises the following steps: Measuring a base color speckle of a laser to obtain a speckle intensity distribution matrix of three primary colors; The maximum value of the three primary color stimulus values is obtained, and a proportion ratio a of the three primary color stimulus values of the target color to the maximum value of the three primary color stimulus values is calculated R,G,B ; wherein the a R,G,B comprises a R , a G , and a B ; The proportion α R,G,B Matrix multiplication is performed with the speckle intensity distribution matrix to obtain speckle data. By adjusting the proportion ratio α R,G,B , color speckle data under different colors and different brightness is obtained.

2. The method of claim 1, wherein, The speckle intensity distribution matrix of the three primary colors comprises E R , E G , and E B ; wherein, 3. The method of claim 1, wherein, The method for obtaining the maximum value of the three primary color stimulus values comprises the following steps: obtaining a three primary color spectrum and a white balance point of the laser, and performing a matching calculation according to the three primary color spectrum and the white balance point to obtain the maximum value of the three primary color stimulus values.

4. The method of claim 3, wherein, The way of performing the color matching calculation according to the three primary color spectra and the white balance point is: where X R,G,B , Y R,G,B and Z R,G,B are the maximum values of the RGB three primary color stimulus values, respectively; and are the spectral weight functions representing the standard response of the human eye to color, defined by CIE 1931 standard; S R,G,B (λ) represents the normalized spectral power distribution function of the red-green-blue laser source; r R,G,B is the power matching ratio of the three primary colors; and λ is the wavelength.

5. The method of claim 4, wherein, The power matching ratio r of the three primary colors R,G,B including r R , r G and r B , and satisfying: r R +r G +r B =1.

6. The method of claim 1, wherein, The three primary color stimulus values corresponding to the target color are measured and obtained by a spectroradiometer.

7. The method of claim 2, wherein, The representation of the color speckle data is: where X, Y and Z are the tristimulus values of the color speckle particles, a R , a G and a B are the mixing ratios of each color in the RGB three channels, respectively, X R,G,B , Y R,G,B and Z R,G.B are the tristimulus values of the RGB three channels, and E R,H,B represents the normalized speckle intensity distribution matrix.

8. The method of claim 2, wherein, The representation of the color speckle data is: where X, Y and Z are the tristimulus values of the color speckle particles, a R , a G and a B are the mixing ratios of each color in the RGB three channels, X R,G,B , Y R,G,B and Z R,G.B are the tristimulus values of the RGB three channels, and E R,G,B represents the normalized speckle intensity distribution matrix.

9. The method according to claim 7 or 8, characterized in that, The method for obtaining the normalized speckle intensity distribution matrix comprises the following step: normalizing each mean value of the speckle intensity distribution matrix to obtain the normalized speckle intensity distribution matrix.

10. An electronic device, comprising: The method comprises the following steps: A communication unit and a processing unit; The communication unit is configured to obtain a speckle intensity distribution matrix of three primary colors and a maximum value of three primary color stimulus values. The processing unit is configured to adjust a proportion ratio a of a three-primary-color stimulus value corresponding to the target color relative to a maximum value of the three-primary-color stimulus value R,G,B ; wherein the three-primary-color stimulus value corresponding to the target color is obtained by adjusting the a value corresponding to the target color; and the proportion ratio a is multiplied by a column vector of the speckle intensity distribution matrix to obtain the color speckle data under different colors and different brightnesses by adjusting the a value corresponding to each primary color. R,G,B ; wherein the three-primary-color stimulus value corresponding to the target color is obtained by adjusting the a value corresponding to the target color; and the proportion ratio a is multiplied by a column vector of the speckle intensity distribution matrix to obtain the color speckle data under different colors and different brightnesses by adjusting the a value corresponding to each primary color.

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