CN115016117A - Lens optimization method, device, equipment and readable storage medium - Google Patents
Lens optimization method, device, equipment and readable storage medium Download PDFInfo
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- CN115016117A CN115016117A CN202210616440.4A CN202210616440A CN115016117A CN 115016117 A CN115016117 A CN 115016117A CN 202210616440 A CN202210616440 A CN 202210616440A CN 115016117 A CN115016117 A CN 115016117A
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- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
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Abstract
The invention provides a lens optimization method, a device, equipment and a readable storage medium, which relate to the technical field of lens optimization and comprise the steps of obtaining first information, wherein the first information comprises an object to be optimized imaged by a lens; according to the first information and a preset optimization variable, performing optimization processing on the imaging of the object point through the lens to obtain an optimized imaging result; and acquiring second information according to the optimized imaging result, wherein the second information comprises a lens parameter value which is in accordance with the optimization target in the imaging result, and an image surface of the object point imaged by the lens is an image surface with astigmatism smaller than a preset threshold. The lens obtained after optimization can meet the requirement of minimizing various aberrations, ensures the imaging quality of the lens, and has the advantages of compatibility, portability, low cost and the like by only adopting one lens.
Description
Technical Field
The invention relates to the technical field of lens optimization, in particular to a lens optimization method, a lens optimization device, lens optimization equipment and a readable storage medium.
Background
The lens design aims at reducing aberration during imaging as much as possible, and a single-piece lens of the existing VR device, for example, adopts a design scheme of a fresnel lens, in which curvature of field and coma in aberration are mainly corrected, spherical aberration cannot be completely corrected, and the fresnel lens does not solve design optimization problems of curvature of field, astigmatism and the like, so that the imaging quality of the lens is low, and the requirements of users are difficult to meet.
In summary, the existing lens is difficult to be compatible with the advantages of high imaging quality, portability, low cost and the like. Common simulation software such as FEKO, HFSS, ZEMAX and the like cannot perform flexible and efficient simulation and optimization design on the lens, and particularly in a high-frequency range, the simulation and optimization design on the lens with an electrical large size needs to occupy huge memory resources.
Disclosure of Invention
It is an object of the present invention to provide a lens optimization method, apparatus, device and readable storage medium to improve the above mentioned problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a lens optimization method, comprising:
acquiring first information, wherein the first information comprises a target to be optimized imaged by adopting a lens;
according to the first information and a preset optimization variable, performing optimization processing on the imaging of the object point through the lens to obtain an optimized imaging result;
and acquiring second information according to the optimized imaging result, wherein the second information comprises a lens parameter value which is in accordance with the optimization target in the imaging result, and an image surface of the object point imaged by the lens is an image surface with astigmatism smaller than a preset threshold.
Preferably, according to the first information and a preset optimization variable, performing optimization processing on the imaging of the object point through the lens to obtain an optimized imaging result, including:
generating an objective function according to the target to be optimized and the optimization variable;
determining an initial value of the optimization variable;
acquiring third information according to the initial value and the target function, wherein the third information comprises an imaging result of the object point through the lens;
and adjusting the initial value according to the comparison between the imaging result and the target to be optimized, and acquiring the imaging result of the object point passing through the lens according to the adjusted optimization variable value and the target function until the acquired imaging result conforms to the lens parameter value of the optimization target.
Preferably, optimized imaging results are obtained, which include:
performing two-dimensional processing of Gaussian beams on the first information;
simulating and analyzing the focusing effect of the lens by using a moment method on the result after the two-dimensional processing;
optimizing the curve of the lens by adopting a ray tracing method;
and according to the optimized result, verifying the focusing effect of the lens by adopting a two-dimensional moment method simulation analysis.
Preferably, the first information is acquired, and the first information includes an object to be optimized for imaging by using a lens, including:
acquiring a first preset condition, wherein the first preset condition comprises a condition that a target to be optimized comprises a light spot of the object point imaged on the image surface through the lens;
the aberration of the object point imaged by the lens meets a second preset condition, wherein the light of the object point comprises red light, green light and blue light;
the light spot of the object point imaged on the image plane through the lens meets a first preset condition, and the light spot comprises one or more of the following items: the root-mean-square radius of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point is smaller than a first radius value;
the geometric root radii of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point are smaller than a second radius value, wherein the aberration comprises: field curvature, astigmatism, distortion, dispersion, spherical aberration, and coma.
In a second aspect, the present application also provides a lens optimization apparatus, comprising:
an information acquisition module: the system comprises a first information acquisition unit, a second information acquisition unit and a third information acquisition unit, wherein the first information acquisition unit is used for acquiring first information which comprises a target to be optimized imaged by a lens;
a processing module: the lens is used for carrying out optimization processing on the imaging of the object point through the lens according to the first information and a preset optimization variable to obtain an optimized imaging result;
a screening module: and the image plane of the object point imaged by the lens is an image plane with astigmatism smaller than a preset threshold.
In a third aspect, the present application also provides a lens optimization apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the lens optimization method when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, which computer program, when executed by a processor, implements the steps of the lens-based optimization method described above.
The invention has the beneficial effects that: the optimized lens can meet the requirement of minimizing various aberrations, the imaging quality of the lens is ensured, and only one lens is adopted, so that the advantages of compatibility, portability, low cost and the like can be achieved; and the simulation and optimization design efficiency of the lens is improved, and the lens is more flexible and efficient.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a lens optimization method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a lens optimization device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a lens optimization apparatus according to an embodiment of the present invention.
In the figure, 701, an information acquisition module; 7011. an acquisition condition unit; 7012. a first coincidence unit; 7013. a second coincidence unit; 7014. an imaging unit; 702. a processing module; 7021. generating a function unit; 7022. a determination unit; 7023. an acquisition unit; 7024. an adjustment unit; 7025. a processing unit; 7026. an analysis unit; 7027. an optimization unit; 7028. a verification unit; 703. a screening module; 800. a lens optimization device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the present embodiment provides a lens optimization method.
Referring to fig. 1, the method is shown to include step S100, step S200 and step S300.
S100, acquiring first information, wherein the first information comprises an object to be optimized imaged by adopting a lens.
It is understood that, in this step, the following steps are included:
acquiring a first preset condition, wherein the first preset condition comprises a condition that a target to be optimized comprises a light spot of the object point imaged on the image surface through the lens;
the aberration of the object point imaged by the lens meets a second preset condition, wherein the light of the object point comprises red light, green light and blue light;
the light spot of the object point imaged on the image plane through the lens meets a first preset condition, and the light spot comprises one or more of the following items: the root-mean-square radius of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point is smaller than a first radius value;
the geometric root radii of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point are smaller than a second radius value, wherein the aberration comprises: field curvature, astigmatism, distortion, dispersion, spherical aberration, and coma.
On the first hand, a light spot of an object point imaged on an image surface (namely a Petzen image surface) through a lens meets a first preset condition;
in a second aspect, the aberration of the object point imaged by the lens meets a second predetermined condition.
In the first aspect, regarding the spot characteristics of the object point imaged on the image plane, based on the human visual system, the standard Red, Green, and Blue (RGB) light spots may be considered, and the wavelengths of the three light spots in the simulation operation of actual spot tracking are respectively: 0.486 micrometers (um), 0.587um, and 0.656 um.
Optionally, the implementation manner that the light spot of the object point on the image plane meets the first preset condition may include the following several cases:
firstly, the root-mean-square radius of a red light spot, a green light spot and a blue light spot of an object point imaged on an image surface is smaller than a first radius value;
secondly, the geometric root radii of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point are smaller than a second radius value.
S200, according to the first information and a preset optimization variable, carrying out optimization processing on the imaging of the object point through the lens to obtain an optimized imaging result.
It is understood that, in this step, the following are included:
generating an objective function according to the target to be optimized and the optimization variable;
determining an initial value of the optimization variable;
acquiring third information according to the initial value and the target function, wherein the third information comprises an imaging result of the object point through the lens;
and adjusting the initial value according to the comparison between the imaging result and the target to be optimized, and acquiring the imaging result of the object point passing through the lens according to the adjusted optimization variable value and the target function until the acquired imaging result conforms to the lens parameter value of the optimization target.
After an optimization target and an optimization variable are set according to the requirements of actual design, imaging of an object point through a lens can be optimized through the optimization variable, the object point in the embodiment of the invention is based on an exit pupil point of a pupil of a human eye, in the process of optimizing imaging of the object point, as the optimization variable is a variable quantity, partial or all variables in the optimization variable can be continuously adjusted and changed, the optimization variable value of the optimization target with the imaging result conforming to the setting can be found, the optimization variable value comprises a lens parameter value, and a lens can be manufactured by adopting the lens parameter value subsequently, so that the VR device with the imaging result conforming to the optimization target can be obtained. The process of adjusting the optimization variables may be a process of processing by computer software, for example, a calculation formula related to various aberrations in lens imaging is written into a computer program in an objective function manner, the program iterates to the objective function by continuously adjusting the objective variables in the objective function, the program stops iterating after a set optimization objective is reached after sufficient iterations, and a value of an objective parameter meeting the optimization objective is obtained, where the obtained value of the objective parameter includes a lens parameter value.
In the method provided by the embodiment of the invention, one of the design requirements is as follows: the image plane of the object point imaged by the lens is an image plane with astigmatism smaller than a preset threshold value, that is, the astigmatism is required to be infinitely close to zero. The meridian image plane and the sagittal image plane are both curved surfaces symmetrical to an optical axis and are schematic diagrams of astigmatic aberration in lens imaging, when the meridian image plane and the sagittal image plane are not superposed, the axial distance between the meridian image plane and the sagittal image plane is called astigmatism, namely the axial distance between T 'and S', when the astigmatism is zero, the meridian image plane and the sagittal image plane are superposed together, but the image plane bending still exists, and the curved image plane at the moment is called a Petzian field curvature image plane (hereinafter referred to as a Petzian image plane). In the embodiment of the present invention, the image plane of the object point imaging is the petzval image plane, that is, the method provided by the embodiment of the present invention optimizes the lens on the petzval image plane, that is, the image plane with an infinite astigmatism close to zero is directly selected in the optimization method for optimization.
In this step, the method further includes:
performing two-dimensional processing of Gaussian beams on the first information;
simulating and analyzing the focusing effect of the lens by using a moment method on the result after the two-dimensional processing;
optimizing the curve of the lens by adopting a ray tracing method;
and according to the optimized result, verifying the focusing effect of the lens by adopting a two-dimensional moment method simulation analysis.
It should be noted that, when the moment method is used for analyzing the electromagnetic problem, a proper integral equation is determined according to a target, then a proper basis function is selected to discretize an unknown function in the integral equation, a proper test function is selected to perform sampling inspection, and then matrix inversion is performed to obtain a value of the unknown function to be solved.
S300, according to the optimized imaging result, second information is obtained, the second information comprises lens parameter values which are screened from the imaging result and meet the optimization target, and the image surface of the object point imaged by the lens is an image surface with astigmatism smaller than a preset threshold value.
It is understood that in this step, triggered by the concept of optimizing the design, these aberrations may be set to meet optimization goals of human visual characteristics, including, for example, one or more of the following:
firstly, the positions of the meridional field curvature and the sagittal field curvature of the object point imaging are close to each other, so that the astigmatism is smaller than a preset threshold value;
secondly, distortion and dispersion of object point imaging are smaller than a preset threshold value in a preset visual field range;
thirdly, the spherical aberration and the coma aberration of the object point imaging on the image surface are smaller than a preset threshold value.
The existing warm bath equipment needs to be extracted from the equipment after the reaction of the test tube in the constant temperature environment is finished, the reaction state is observed by means of natural light or lamplight, and the observation result can be influenced by the difference of brightness and color of the natural light or the lamplight.
In the present embodiment, according to the technical principle: the imaging rule of the convex lens is utilized, the distance from the internal backlight plate and the observation sample (reaction cup) to the lens is smaller than the focal length, and an experiment observer can obtain an amplified image when observing the phenomenon through the other side of the lens, so that the observer is helped to observe the experiment result. The backlight plate adopts the color temperature closer to natural light, and after the backlight plate is adjusted to the proper brightness, the observer is provided with an observation condition more suitable for the natural light under the daylight lamp and various climatic environments. The heating block is arranged in the device, and the device is maintained at a fixed temperature after heating, so as to provide a warm bath environment for the reaction cup. The reagent in the reaction cup reacts with the sample to generate color change. When the reaction is finished, a backlight plate inside the device emits light, the light rays penetrate through the liquid in the reaction cup and are diffused outwards, and after the light rays are amplified by the optimized lens, the amplified color signals are fed back to an observer.
Optionally, in another implementation manner of the embodiment of the present invention, the aberration meets a second preset condition, which may include: the weighted value of the field curvature, astigmatism, distortion, chromatic dispersion, spherical aberration and coma aberration of the object point imaged by the lens is smaller than a preset aberration threshold value.
In the latter embodiment of the present invention, starting from the calculated value of the aberration after the imaging of the object point as a design target, when the imaging of the object point is required, the value of each item in the aberration is as small as possible, that is, the weighted value of all aberration values is as small as possible (the influence of each item in the aberration on the vision corresponds to the respective weighting coefficient), that is, the finally obtained aberration value is as small as possible.
Example 2:
as shown in fig. 2, the present embodiment provides a lens optimization apparatus, which includes a lens optimization apparatus, with reference to fig. 2, including:
the information acquisition module 701: the system comprises a first information acquisition unit, a second information acquisition unit and a third information acquisition unit, wherein the first information acquisition unit is used for acquiring first information which comprises a target to be optimized imaged by a lens;
the processing module 702: the lens is used for carrying out optimization processing on the imaging of the object point through the lens according to the first information and a preset optimization variable to obtain an optimized imaging result;
the screening module 703: and the image plane of the object point imaged by the lens is an image plane with astigmatism smaller than a preset threshold.
Specifically, the processing module 702 includes:
generating function unit 7021: the optimization system is used for generating an objective function according to the target to be optimized and the optimization variable;
determination unit 7022: for determining initial values of the optimization variables;
acquisition unit 7023: the lens is used for acquiring third information according to the initial value and the target function, wherein the third information comprises an imaging result of the object point through the lens;
adjusting unit 7024: and the lens parameter value adjusting unit is used for adjusting the initial value according to the comparison between the imaging result and the target to be optimized, and acquiring the imaging result of the object point passing through the lens according to the adjusted optimization variable value and the target function until the acquired imaging result conforms to the lens parameter value of the optimization target.
Specifically, the processing module 702 further includes:
the processing unit 7025: the first information is subjected to Gaussian beam two-dimensional processing;
analysis unit 7026: the lens focusing device is used for simulating and analyzing the focusing effect of the lens by using a moment method and the result after the two-dimensional processing;
optimization unit 7027: the system is used for optimizing the curve of the lens by adopting a ray tracing method;
the verification unit 7028: and the method is used for verifying the focusing effect of the lens by adopting two-dimensional moment method simulation analysis according to the optimization result.
Specifically, the information obtaining module 701 includes:
acquisition condition unit 7011: the system comprises a lens, a target to be optimized, a target acquisition unit, a target optimization unit and a control unit, wherein the lens is used for acquiring a first preset condition, and the first preset condition comprises a condition that an object point comprises a light spot formed on an image surface by the imaging of the lens;
first coincidence unit 7012: the aberration of the object point imaged by the lens meets a second preset condition, wherein the light of the object point comprises red light, green light and blue light;
second coincidence unit 7013: the light spot of the object point imaged on the image surface by the lens meets a first preset condition, and the light spot comprises one or more of the following items: the root-mean-square radius of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point is smaller than a first radius value;
imaging unit 7014: the geometric root radii of the red, green and blue spots for imaging the object point on the image plane are less than a second radius value, wherein the aberrations include: field curvature, astigmatism, distortion, dispersion, spherical aberration, and coma.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
Example 3:
corresponding to the above method embodiments, the present embodiment also provides a lens optimization apparatus, and a lens optimization apparatus described below and a lens optimization method described above may be referred to with each other.
Fig. 3 is a block diagram illustrating a lens optimization apparatus 800 according to an exemplary embodiment. As shown in fig. 3, the lens optimization apparatus 800 may include: a processor 801, a memory 802. The lens optimization apparatus 800 may also include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the lens optimization apparatus 800 to complete all or part of the steps of the lens optimization method. The memory 802 is used to store various types of data to support operation at the lens optimization device 800, such data can include, for example, instructions for any application or method operating on the lens optimization device 800, as well as application-related data, such as contact data, messaging, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the lens optimization apparatus 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the lens optimization Device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the lens optimization methods described above.
In another exemplary embodiment, there is also provided a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the lens optimization method described above. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the lens optimization apparatus 800 to perform the lens optimization method described above.
Example 4:
corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a lens optimization method described above may be referred to in correspondence.
A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the lens optimization method of the above-mentioned method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method of optimizing a lens, comprising:
acquiring first information, wherein the first information comprises a target to be optimized imaged by adopting a lens;
according to the first information and a preset optimization variable, performing optimization processing on the imaging of the object point through the lens to obtain an optimized imaging result;
and acquiring second information according to the optimized imaging result, wherein the second information comprises a lens parameter value which is in accordance with the optimization target in the imaging result, and an image surface of the object point imaged by the lens is an image surface with astigmatism smaller than a preset threshold.
2. The lens optimization method according to claim 1, wherein the optimizing the imaging of the object point through the lens according to the first information and a preset optimization variable to obtain an optimized imaging result comprises:
generating an objective function according to the target to be optimized and the optimization variable;
determining an initial value of the optimization variable;
acquiring third information according to the initial value and the target function, wherein the third information comprises an imaging result of the object point through the lens;
and adjusting the initial value according to the comparison between the imaging result and the target to be optimized, and acquiring the imaging result of the object point passing through the lens according to the adjusted optimization variable value and the target function until the acquired imaging result conforms to the lens parameter value of the optimization target.
3. The lens optimization method of claim 1, wherein the obtaining of the optimized imaging result comprises:
performing two-dimensional processing of Gaussian beams on the first information;
simulating and analyzing the focusing effect of the lens by using a moment method on the result after the two-dimensional processing;
optimizing the curve of the lens by adopting a ray tracing method;
and according to the optimized result, verifying the focusing effect of the lens by adopting a two-dimensional moment method simulation analysis.
4. The lens optimization method according to claim 1, wherein the obtaining of the first information includes an object to be optimized for imaging with a lens, and includes:
acquiring a first preset condition, wherein the first preset condition comprises a condition that a target to be optimized comprises a light spot of the object point imaged on the image surface through the lens;
the aberration of the object point imaged by the lens meets a second preset condition, wherein the light of the object point comprises red light, green light and blue light;
the light spot of the object point imaged on the image plane through the lens meets a first preset condition, and the light spot comprises one or more of the following items: the root-mean-square radius of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point is smaller than a first radius value;
the geometric root radii of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point are smaller than a second radius value, wherein the aberration comprises: field curvature, astigmatism, distortion, dispersion, spherical aberration, and coma.
5. A lens optimization device, comprising:
an information acquisition module: the system comprises a first information acquisition unit, a second information acquisition unit and a third information acquisition unit, wherein the first information acquisition unit is used for acquiring first information which comprises a target to be optimized imaged by a lens;
a processing module: the lens is used for carrying out optimization processing on the imaging of the object point through the lens according to the first information and a preset optimization variable to obtain an optimized imaging result;
a screening module: and the image plane of the object point imaged by the lens is an image plane with astigmatism smaller than a preset threshold.
6. The lens optimization device of claim 5, wherein the processing module comprises:
a generating function unit: the optimization system is used for generating an objective function according to the target to be optimized and the optimization variable;
a determination unit: for determining initial values of the optimization variables;
an acquisition unit: the lens is used for acquiring third information according to the initial value and the target function, wherein the third information comprises an imaging result of the object point through the lens;
an adjusting unit: and the lens parameter value adjusting unit is used for adjusting the initial value according to the comparison between the imaging result and the target to be optimized, and acquiring the imaging result of the object point passing through the lens according to the adjusted optimization variable value and the target function until the acquired imaging result conforms to the optimization target.
7. The lens optimization device of claim 5, wherein the processing module further comprises:
a processing unit: the first information is subjected to Gaussian beam two-dimensional processing;
an analysis unit: the lens focusing device is used for simulating and analyzing the focusing effect of the lens by using a moment method and the result after the two-dimensional processing;
an optimization unit: the system is used for optimizing the curve of the lens by adopting a ray tracing method;
a verification unit: and the method is used for verifying the focusing effect of the lens by adopting two-dimensional moment method simulation analysis according to the optimization result.
8. The lens optimization device of claim 5, wherein the information acquisition module comprises:
an acquisition condition unit: the system comprises a lens, a target to be optimized, a target acquisition unit, a target optimization unit and a control unit, wherein the lens is used for acquiring a first preset condition, and the first preset condition comprises a condition that an object point comprises a light spot formed on an image surface by the imaging of the lens;
a first coincidence unit: the aberration of the object point imaged by the lens meets a second preset condition, wherein the light of the object point comprises red light, green light and blue light;
a second coincidence unit: the light spot of the object point imaged on the image surface by the lens meets a first preset condition, and the light spot comprises one or more of the following items: the root-mean-square radius of the red light spot, the green light spot and the blue light spot imaged on the image surface by the object point is smaller than a first radius value;
an imaging unit: the geometric root radii of the red, green and blue spots for imaging the object point on the image plane are less than a second radius value, wherein the aberrations include: field curvature, astigmatism, distortion, dispersion, spherical aberration, and coma.
9. A lens optimization apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the lens optimization method according to any one of claims 1 to 4 when executing the computer program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the lens optimization method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210616440.4A CN115016117A (en) | 2022-06-01 | 2022-06-01 | Lens optimization method, device, equipment and readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108333748A (en) * | 2018-02-24 | 2018-07-27 | 京东方科技集团股份有限公司 | A kind of the lens optimization method and device of virtual reality device |
| CN110929375A (en) * | 2019-10-17 | 2020-03-27 | 中国科学院电子学研究所 | Efficient lens simulation and optimization method based on two-dimensional moment method and ray tracing method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108333748A (en) * | 2018-02-24 | 2018-07-27 | 京东方科技集团股份有限公司 | A kind of the lens optimization method and device of virtual reality device |
| CN110929375A (en) * | 2019-10-17 | 2020-03-27 | 中国科学院电子学研究所 | Efficient lens simulation and optimization method based on two-dimensional moment method and ray tracing method |
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