228 results about "Visual comfort probability" patented technology

The invention provides an adjustable spectrum-based liquid crystal display system and a control method thereof, relates to the technical field of display systems, and aims to overcome the limitations of poor environmental adaptability, easiness in causing visual fatigue, single user experience and the like of an existing display. The system creatively integrates a liquid crystal panel, a high-precision multi-main-color Micro-LED backlight, a pixel inner sensing array, an external multi-mode sensing module, a dynamic addressable micro-optical array, a dynamic polarization modulation layer and an optional transparent energy collection layer. The intelligent controller carries out fusion processing on the real-time biological state, environment information and application context data of the user obtained by the multi-source sensor, and carries out accurate state evaluation and future trend prediction. And determining an optimal space-time-direction-spectrum-polarized light field output characteristic and an intelligent energy management strategy through a multi-objective optimization decision engine, and driving each optical regulation and control component to execute in real time. The visual comfort and health level are remarkably improved, and the information fidelity and task performance in a complex environment are ensured.

The invention belongs to the technical field of intelligent lighting, and discloses an intelligent adjustment method and system for the spectrum of a quantum dot light-emitting lamp. The objective of the invention is to solve the problem that an existing lighting system cannot meet personalized healthy lighting requirements. The method comprises the following steps: firstly, acquiring user biological rhythm, environment spectrum, use scene, user preference and physiological health data through multi-dimensional data acquisition, and constructing a feature data set; then human factor optical feature extraction and cross-situation demand analysis are carried out, and a spectral response model is established; carrying out quantum dot material photoelectric characteristic mapping and spectrum synthesis modeling based on the model, and determining a luminescence parameter space; constructing a spectrum optimization model, performing multi-objective optimization by comprehensively considering visual comfort, energy efficiency and health influence, and generating a dynamic spectrum regulation and control strategy; closed-loop verification and adaptive optimization are carried out based on real-time physiological feedback, and an intelligent spectrum adjustment scheme is formed. According to the invention, the advantage of spectrum adjustability of the quantum dot material is fully exerted, and real personalized intelligent illumination is realized.

The invention relates to the technical field of display, and particularly discloses a dynamic ambient light adaptive OLED display optimization method and system, and the method comprises the steps: obtaining an ambient light time sequence data set of an environment where an OLED display screen is located, and synchronously obtaining real-time display parameters and historical brightness adjustment data of the display screen; acquiring ambient light sensing features according to the ambient light time sequence data set; obtaining photo-thermal structure coverage area data of the OLED display screen according to the real-time display parameters; and acquiring preliminary optimization parameters according to the ambient light sensing characteristics and the photo-thermal structure coverage area data. According to the invention, illumination intensity, spectrum drift and contrast change are captured in real time in combination with ambient light perception characteristics, the one-sidedness of adjustment only according to brightness traditionally is solved, reflection can be reduced through photothermal structure deformation under strong light, brightness can be improved to offset interference, and human visual characteristics can be matched under weak light. And the display definition and the visual comfort in different environments are effectively improved.

The invention relates to a brightness control method and system for a vehicle-mounted head-up display and the display. A dynamic adaptation model based on ambient light intensity is constructed by combining human eye visual adaptation characteristics and HUD field angle characteristics, visual adaptation behaviors of human eyes under different illumination conditions can be simulated, and the brightness of the HUD is automatically adjusted according to different light intensity changes, so that information display better conforms to the visual comfort of the human eyes. According to the invention, the maximum HUD display brightness acceptable by human eyes under different illumination conditions can be calculated, the brightness adjustment values under different illumination conditions are dynamically calculated by using the De Boer coefficient, and the brightness of the HUD display is adjusted in real time according to the external light environment, so that the brightness adaptive dynamic closed-loop adjustment is realized, the HUD is effectively prevented from being too bright under low ambient light, and the HUD display quality is improved. The visual blinding phenomenon caused by instantaneous strong light reflection or bright element emerging in a dark scene is avoided, the function safety level of the vehicle-mounted HUD system is remarkably improved, and the ISO 26262ASIL-B level safety requirement is met.

The invention relates to the technical field of display, and particularly discloses an intelligent self-adaptive eye protection display system which sequentially comprises a content analysis module, an ambient light detection module, an eye protection parameter calculation module, a display parameter adjustment module and a user feedback module. The system identifies the screen content type and the dynamic degree in real time, synchronously detects the ambient light intensity and the color temperature, obtains the optimal combination of the blue light proportion, the brightness, the contrast ratio, the color temperature and the sharpness through a multi-target optimization model, and smoothly adjusts the display through driving; a user can score, finely adjust and mark a scene, and feedback data enters a self-learning engine to iteratively update a parameter weight so as to form a content-environment-user closed loop. The system can significantly reduce blue light harm and improve visual comfort without external hardware.

The invention relates to the technical field of intelligent dimming, in particular to an intelligent projector light source power dynamic adjustment method, which comprises the following steps of: acquiring an image through an image sensor, constructing a pyramid, dividing grids, aggregating HSV-V values by adopting a sliding window, outputting a brightness variation rate, and comparing a dynamic threshold value to generate an adjustment priority; and calculating a compensation coefficient in combination with an environment illumination interpolation to generate a correction weight parameter, extracting a main peak region span fusion output brightness structure stability, performing weighted fusion after normalization to obtain a driving current proportion, performing scaling to generate an adjustment parameter, and sending and executing the adjustment parameter. According to the method, the light source power is regulated and controlled through multi-dimensional data fusion, brightness variation is extracted through an image pyramid and a sliding window, a dynamic threshold value is used for screening an adjusting area, linear interpolation is used for fusing environment illumination, a histogram is used for detecting a main brightness interval, abnormal fluctuation is restrained, driving current is normalized and balanced, the response speed is increased, and the energy efficiency is optimized; and the picture stability and the visual comfort are enhanced.

The invention provides an intelligent sunshade shutter visual comfort performance regulation and control method based on a dynamic programming algorithm. The method comprises the following steps: step 1, collecting potential influence factors of visual comfort performance of a light environment and visual comfort evaluation index values, and constructing a visual comfort data set of the light environment of the office space; step 2, training a random forest model algorithm in machine learning by using the data set in the step 1 to complete construction of a light environment visual comfort index prediction model; and step 3, constructing a sunshade regulation and control intelligent body based on dynamic programming by using the light environment visual comfort index prediction model in the step 2, and completing intelligent sunshade shutter visual comfort performance regulation and control based on a dynamic programming algorithm. According to the method, various factors of the light environment and the visual comfort evaluation indexes are comprehensively considered, intelligent regulation and control of the sunshade shutter are achieved by means of a dynamic planning algorithm, the visual comfort requirements of people in different light environments can be met to the maximum extent, and the visual comfort of the indoor light environment is practically and effectively improved.

The invention discloses a display screen brightness adaptive adjustment method and system, and the method comprises the steps: obtaining and analyzing the information data of ambient light where a display screen is located, and determining the brightness features and color temperature features of the ambient light; determining a light source characteristic coefficient of the ambient light based on the ambient light brightness characteristic and the ambient light color temperature characteristic, and setting the initial brightness of the display screen according to the light source characteristic coefficient; obtaining and analyzing a display content image of the display screen, and determining color features in the display content image; determining a color feature coefficient of the display content image based on each color feature, and determining an adaptive adjustment value based on the color feature coefficient; and performing adaptive adjustment on the initial brightness of the display screen according to the adaptive adjustment value. According to the invention, the functions of intelligent environment perception, image analysis and adaptive adjustment can be realized, the visual comfort of a user is improved, the user experience is enhanced, and the intelligent level of the display equipment is improved.

The invention discloses a short video content accurate recommendation system based on artificial intelligence image recognition, particularly relates to the technical field of short video personalized recommendation, and is used for solving the problem of matching of user interest and visual bearing capacity. The method comprises the following steps: extracting short video key frame spatial-temporal characteristics through a multi-scale convolutional neural network, constructing a cognitive load threshold curve in combination with a user micro gesture sequence, representing the tolerance range of a user to visual complexity in different time periods, and generating a visual complexity vector; calculating a visual load matching index by using an adaptive dynamic warping algorithm, and adjusting a candidate video sequence through a load penalty factor to generate an initial recommendation probability; modeling a user dynamic interest vector based on a gated loop unit network in combination with an attention mechanism; and finally, user interests and video semantics are fused through multi-dimensional features, a final recommendation list is generated through a multi-objective optimization algorithm under the constraint of visual load, and personalized recommendation of interest matching degree maximization and visual comfort optimization is realized.

The invention provides a smart green landscape illumination adaptive control method and system based on deep learning, and relates to the technical field of illumination control, and the method comprises the steps: collecting parameters through an environment sensor, fusing features through a parallel residual network, constructing a layered adaptive neural network, and generating an illumination scene; and calculating an optimal control strategy by using a packet collaborative learning network to realize illumination adjustment. According to the invention, the lighting parameters can be automatically adjusted according to the environmental change, the visual comfort is improved, the energy consumption is reduced, and the intellectualization and greenization of landscape lighting are realized.

The invention discloses a self-adaptive display definition optimization system and method based on time variation, and the system comprises a time detection module which is used for obtaining the information of a current time period; the ambient light sensor is used for detecting ambient light intensity and color temperature; the display parameter adjusting module is used for dynamically adjusting the resolution, sharpness, color temperature, brightness and blue light proportion of the display according to the time period and the ambient light data; the user habit learning module is used for analyzing user manual adjustment records and optimizing default parameters; the eye protection mode module is used for triggering protective adjustment of display parameters according to the continuous use duration; according to the invention, the resolution and sharpness can be automatically adjusted according to different time periods, and the definition and the visual comfort are balanced; blue light radiation is intelligently reduced at night, and interference on melatonin secretion is reduced; unnecessary display parameters are automatically reduced according to ambient light and time, and the endurance of equipment is prolonged; and a customized display mode is provided by learning user habits.

The invention relates to the technical field of rail transit vehicle lighting, in particular to an intelligent health management method for a train LED lighting system and related equipment.The method comprises the steps that the shell reference temperature, a driving current signal and a vibration signal of an LED lamp are obtained, and the junction temperature of a lamp bead is calculated based on an electrothermal coupling model; a vibration accumulation damage value and a thermal stress damage value are calculated, welding spot abnormity is judged by combining a current ripple coefficient, abnormal lamp beads are identified through a current difference degree, thermal field distribution is constructed, regional lamp bead health degrees are calculated by fusing multiple parameters, and brightness compensation and smooth dimming are carried out on a high-health-degree region in sequence. The problems that the junction temperature of the train LED lighting system is difficult to monitor, fault early warning lags behind, and lighting uniformity is poor are effectively solved, and the reliability of the LED lighting system and the visual comfort of passengers are remarkably improved.

The invention discloses a multi-point defocus management method for intelligent training glasses, and particularly relates to the technical field of defocus management, and the method comprises the following steps: S1, data collection; s2, scene recognition and intention judgment; s3, generating a dynamic defocusing scheme; s4, performing out-of-focus stimulation presentation; and S5, performing effect evaluation and adaptive adjustment. Original isolated eye movement tracking, scene recognition and adjustable optical technologies are organically connected in series through an intelligent decision-making core, an autonomous system capable of managing defocus like automatic driving is formed, the fundamental pain point that a traditional technology is static and rigid and cannot adapt to the dynamic requirement of a user is solved, and the user experience is improved. According to the invention, qualitative change of defocus stimulation from fixing to following is realized, it is ensured that the defocus stimulation can continuously and accurately act on the most critical area of the retina, meanwhile, the definition of the central view is ensured to the maximum extent, the contradiction between the defocus effect and the visual comfort is solved, and accurate intervention is realized.

The invention discloses a display color temperature dynamic optimization method and system based on ambient light and content recognition, and relates to the technical field of display regulation and control, and the method comprises the steps: obtaining an ambient light parameter of an environment where a display screen is located in real time; determining the type of the display content and content feature distribution; determining a preset reference color temperature parameter; in combination with a visual comfort model corresponding to the display content type, performing content adaptability correction on the reference color temperature parameter to generate a dynamic optimized color temperature parameter; carrying out regionalized weight distribution on the dynamic optimization color temperature parameters; and generating a color temperature regulation and control instruction of each pixel region of the display screen based on a regionalized weight distribution result, and driving a backlight module to execute regional color temperature adjustment. Through a multi-dimensional cooperation mechanism of ambient light adaptive compensation, content feature driven optimization, regionalized weight distribution and physiological feedback closed-loop regulation and control, dynamic and accurate adaptation of the color temperature of the display screen is realized, the visual comfort and the color expressive force are remarkably improved, and the visual fatigue occurrence rate is reduced.

The invention relates to the technical field of building design, and discloses a visual comfort assessment method and device for a virtual reality building, and the method comprises the steps: collecting building image data; labeling the building image data; performing sample generation by adopting an adversarial network algorithm generated based on building image data distribution, and expanding a building image data set; a federal learning architecture is adopted, and local building image data samples are utilized to train a visual comfort evaluation model on a plurality of servers; and the model on each server is trained on the respective building image data, and performs parameter updating interaction with the central visual comfort evaluation model to obtain the visual comfort evaluation model. According to the method, data privacy protection is realized by adopting a federated learning architecture, training of the visual comfort evaluation model is completed at the client through a distributed training mode, only model parameters are exchanged instead of original building image data, and the problem of privacy disclosure caused by sharing sensitive data among multiple devices is solved.

The invention relates to the technical field of display screen self-adaptive toning, and particularly discloses a display screen self-adaptive toning method and system based on ambient light, and the method comprises the steps: ambient light value collection, ambient light change trend analysis, brightness adjustment curve generation, display characteristic parameter reading, color cooperation instruction fusion, decision value real-time calibration and screen driving execution. According to the invention, the brightness and color component values of the ambient light are collected through the optical sensor, the change trend is analyzed, the stepped brightness adjustment instruction is generated, the characteristic parameters of the display panel are read, and the brightness and color adjustment instructions are fused, so that the light-color collaborative change is realized; by detecting the deviation between the actual output of the screen driving chip and the fusion compensation signal, the ambient light change trend judgment is automatically adjusted and reset; according to the invention, the visual comfort is effectively improved, glare and color cast are reduced, accurate restoration of colors on different display screens is ensured, and the display quality is improved.

The invention discloses a vision correction lens for an XR product and a manufacturing method thereof.The lens comprises a front surface and a rear surface, the front surface is arranged to be a plane, the rear surface is arranged to be a curved surface, and the manufacturing method specifically comprises the steps that S1, a three-dimensional human eye eyeball simulation model containing human eye structure features is constructed, establishing a lens-eyeball combined optical model; s2, optimizing the integrated structure of the lens and the waveguide; s3, sampling lens grid data points point by point; s4, constructing a target evaluation function MF and optimization parameters; s5, correlation coefficients are calculated, and lens and free ring curved surface profiles are constructed; according to the invention, the difference between the natural light and the light from the XR waveguide sheet in wavelength and light component is particularly distinguished, the problem of image distortion at the edge of the field of view under a large visual angle can be obviously improved, and the image quality and visual comfort of the XR glasses are effectively improved on the premise of ensuring the vision correction function, so that the vision correction effect is improved. And the integrated structure of the lens and the waveguide is simplified.

The invention relates to an asymmetric scattering myopia control lens based on human eye visual behaviors, which is applied to the technical field of eye vision optics, and has the design core that an asymmetric visual behavior mode shown by human eyes in an actual visual task is deeply integrated into the optical design of the lens. Therefore, an asymmetric optical structure with scattering intensity distribution highly matched with individual visual habits is constructed. According to the lens, scattering characteristics can be accurately configured in a specific area of the lens according to a preset human eye visual behavior data model, especially in the lower half part of the lens, namely a visual field area corresponding to near-distance tasks such as near-distance reading, writing or electronic equipment use of a wearer; the scattering intensity is higher than that of the upper half part (corresponding to a far task view field area), so that the myopia control efficiency is remarkably improved, and meanwhile, the visual comfort and definition of a wearer are effectively considered.

The invention discloses a display equipment brightness dynamic adjusting method and system based on human factor engineering, and belongs to the field of liquid crystal display. Aiming at the problems of human eye perception deviation and visual fatigue caused by the fact that traditional display equipment depends on a fixed Gamma curve, an eye movement tracking module and an ambient light sensor are integrated to collect physiological signals and ambient light parameters of a user in real time, and a brightness perception nonlinear function is constructed in combination with the Weber-Fechner law; and brightness curve parameters are dynamically optimized by using a deep reinforcement learning algorithm, so that environment adaptive adjustment of the Gamma value is realized. According to the method, through real-time fusion of multi-modal physiological signals and environmental data, in combination with a human eye visual perception model and a deep reinforcement learning algorithm, a dynamic self-adaptive brightness mapping system is constructed, and triple breakthrough of visual comfort, energy efficiency and image quality of display equipment in a complex scene is realized on the premise that hardware architecture does not need to be changed.

A drive circuit for switching color temperature and brightness with a toggle switch and an LED lighting fixture are provided. The drive circuit includes an LED light group, a power supply unit, a dimming unit, and a color temperature adjustment unit. The LED lighting fixture includes a housing, a lamp housing that is adhered to the housing, and a PCB board that integrates a light source group and a drive power supply. The power and color temperature are adjusted through a toggle switch, an operation is simple, thereby facilitating a user to use different powers for lighting and selecting an appropriate color temperature in different spaces to enhance the user experience and visual comfort.

The invention discloses an image display method for a naked-eye 3D large screen, and particularly relates to the technical field of intelligent display, which comprises the following steps of: firstly, acquiring and tracking the positions of eyes of multiple audiences in front of the screen in real time through a depth camera network, and distributing a unique ID (Identity) for each audience to realize continuous tracking; thirdly, dividing the audiences into a plurality of visual areas based on a dynamic clustering algorithm, and calculating the rendering priority of each visual area according to the number of the audiences in each visual area and the importance of the content of the concerned screen; then, left and right eye views with correct parallax are rendered in parallel for each activated visual area, and digital pre-compensation is performed by using a pre-stored optical model so as to suppress crosstalk and uneven brightness; and finally, according to the distance and angle of the visual area of the audience, querying the human factor engineering database to obtain a comfortable parallax threshold, and dynamically compressing the extreme depth of field exceeding the threshold in the scene. According to the invention, multi-audience self-adaptive high-quality 3D display is realized, and the watching experience, the resource utilization efficiency and the visual comfort are effectively improved.

The invention relates to the technical field of multi-point defocusing, in particular to an optical stable photochromic multi-point defocusing myopia control lens prescription generation method, which comprises the following steps of: based on eyes of a wearer, scanning cornea by using a non-contact optical device, extracting iris and pupil characteristics, monitoring an adjustment reaction, and performing three-dimensional reconstruction and multi-direction light path tracking analysis to obtain a myopia control lens prescription. And the distribution configuration of the annular belt is optimized, and the overlapping area is adjusted by combining the photochromic requirement, so that the fusion function partition structure is formed. Through collection of multi-source visual parameters and combination of spatial modeling and focusing path analysis, cut-through association of individual visual behaviors and structural attributes in lens customization is realized, functional requirements of different areas and photochromic response are dynamically fused through hierarchical adjustment of the spatial structure of an intervention area, and the visual performance of the lens is improved. And the material and microstructure data are synchronously output to a manufacturing link, so that the collaborative matching capability of the visual area partition is enhanced, and the requirements of a wearer on visual comfort and optical reaction are met.

The invention discloses a multi-focal near-to-eye display holographic optical element and a preparation method and device thereof. The element adopts a composite structure of a substrate, a multi-focal correction layer and a holographic recording layer, a holographic grating accurately matched with each optical partition of the correction layer is formed in the recording layer through a partition exposure technology, and multi-depth virtual image display and user refraction correction functions can be realized at the same time. The preparation device comprises a coherent light source, a beam splitter, a diffusion plate, a focal plane displacement system, a mask component and a master controller, and partition exposure is realized through cooperative control. The problem that traditional near-to-eye display cannot meet multi-focus display and refraction correction at the same time is solved, a user can clearly perceive fused multi-depth virtual information and a real environment without additionally wearing glasses, the visual comfort and experience are remarkably improved, and the method is suitable for AR / VR and other head-mounted display devices.

The invention discloses a full-color LED screen optical adjustment and intelligent energy-saving detection method, and relates to the field of LED screen adjustment and energy saving. Ambient light data is collected through a bionic distributed sensor network, and features such as illumination intensity and color temperature are extracted through PCA dimension reduction; constructing a human eye visual perception model based on the CIE chromaticity diagram, and introducing a visual adaptation factor to dynamically adjust color gamut mapping; dividing a screen dimming area, and calculating an optimal brightness value by adopting a local contrast enhancement algorithm; the RGB ratio is optimized through a genetic algorithm, and the color difference between the mixed spectrum and the target color gamut is minimized; power consumption is monitored in real time, an energy consumption prediction model is established, and an optimization strategy is triggered when a predicted value exceeds a threshold value. The color gamut coverage rate is high, the local contrast ratio is excellent, and the comprehensive energy-saving rate is greatly improved; blue light harm is reduced, screen flicker is eliminated, the visual comfort is improved, the functions of peep prevention and block chain energy consumption evidence storage are achieved, and the display quality, the energy efficiency performance and the use safety of the LED screen are comprehensively improved.

The invention relates to the technical field of multi-point defocusing, in particular to an optical stable photochromic multi-point defocusing myopia control lens prescription generation method, which comprises the following steps of: based on eyes of a wearer, scanning cornea by using a non-contact optical device, extracting iris and pupil characteristics, monitoring an adjustment reaction, and performing three-dimensional reconstruction and multi-direction light path tracking analysis to obtain a myopia control lens prescription. And the distribution configuration of the annular belt is optimized, and the overlapping area is adjusted by combining the photochromic requirement, so that the fusion function partition structure is formed. Through collection of multi-source visual parameters and combination of spatial modeling and focusing path analysis, cut-through association of individual visual behaviors and structural attributes in lens customization is realized, functional requirements of different areas and photochromic response are dynamically fused through hierarchical adjustment of the spatial structure of an intervention area, and the visual performance of the lens is improved. And the material and microstructure data are synchronously output to a manufacturing link, so that the collaborative matching capability of the visual area partition is enhanced, and the requirements of a wearer on visual comfort and optical reaction are met.

The invention discloses a spectrum control axis adjusting method and system for assisting myopia prevention and control, and relates to the field of biomedical engineering.The method comprises the steps that a user uploads personal information, meanwhile, current illumination data and eyeball movement data of the user are monitored and collected, and the personal information, the current illumination data and the eyeball movement data of the user are preprocessed; establishing a user spectrum model based on the preprocessed personal information and the current illumination data of the user, predicting the optimal spectrum combination of the user, adjusting the specific gravity combination of each wave band in the LED light source according to the prediction result, monitoring the actual spectrum entering the eyes in real time, and comparing the actual spectrum with the optimal spectrum combination of the user, adjusting the spectrum output of the LED light source according to the difference; by establishing the user spectrum model, the spectrum combination can be dynamically adjusted according to the real-time environment condition of the user, and it is ensured that the light condition most suitable for the user is provided. And the visual comfort of the user and the myopia prevention and control effect are obviously improved.

The present application provides a brightness control method and apparatus, a device, and a storage medium. The method comprises: firstly, acquiring a current manual brightness adjustment level of a display screen of a vehicle; on the basis of the current manual brightness adjustment level, obtaining a corresponding manual adjustment brightness signal and then determining whether a brightness automatic adjustment function of the display screen is in an on-state; and if so, when a change in environmental brightness is detected, on the basis of a combination of the manual adjustment brightness signal and a brightness detection signal of a brightness sensor, automatically adjusting the backlight brightness of the display screen. When a change in environmental brightness is detected, the backlight brightness of the display screen is adaptively adjusted by means of the brightness automatic adjustment function on the basis of supporting the manual adjustment of the backlight brightness of the display screen, which overcomes the defect of poor visual experience caused by fixed manual brightness levels and automatic brightness calibration in the related art, thereby improving the driving and riding visual experience when a driving scenario changes, and ensuring that users obtain better visual comfort.

The invention discloses an asynchronous space and time warping rendering system for XR equipment. The asynchronous space and time warping rendering system comprises an attitude prediction module, an asynchronous warping processing module, a synthesis and output module and a monitoring and feedback module. According to the method, space warping and time warping are decoupled from a main rendering thread, an independent asynchronous warping processing assembly line is constructed, interference of warping calculation on main rendering performance can be effectively isolated, and the stability of an application rendering frame rate is ensured; according to the system, through dynamic monitoring of rendering load and prediction precision, distortion parameters and execution strategies are adaptively adjusted, and on the premise of ensuring visual quality, perception delay can be significantly reduced and frame rate output can be smoothed; according to the method, a layered buffering and synthesizing mechanism is adopted, the problem of inter-frame asynchronization or tearing possibly caused by asynchronous execution is reduced, image coherence and visual comfort in a high-dynamic motion scene are improved, and meanwhile the overall utilization rate of graphic processing hardware is increased.

The invention discloses a multi-scale infrared polarization image enhancement method based on MSD-PCNN, and relates to the technical field of infrared image processing, and the method comprises the steps: firstly, carrying out the multi-scale and multi-direction decomposition of an input intensity image I and a polarization feature map DoLP based on NSST, and obtaining a low-frequency sub-band and a high-frequency sub-band; secondly, according to the obtained low-frequency sub-band, designing a low-frequency sub-band fusion rule based on distance difference perception; and finally, according to the obtained high-frequency sub-band, designing a high-frequency sub-band fusion rule based on MSD-PCNN, and fully extracting texture and edge detail features. According to the MSD-PCNN-based multi-scale infrared polarization image enhancement method provided by the invention, redundant information interference is suppressed, the hierarchical definition of an image structure is improved, and meanwhile, the visual comfort and global naturalness of a fused image are also improved.

The invention discloses a partitioned scattering optical lens for myopia control and a design method of the partitioned scattering optical lens, which are applied to the technical field of optics, and aims to solve the problem that the central visual quality and the peripheral myopia control effect cannot be considered at the same time in the prior art, the optical lens comprises a central optical region, a peripheral optical region and a smooth transition zone, the central optical area is low in scattering coefficient and high in MTF, a high modulation transfer function and low scattering loss are achieved, the peripheral optical area is high in scattering coefficient and low in MTF, the central optical area is used for inducing peripheral myopic defocus, the smooth transition area is used for achieving continuous gradual change of the scattering coefficient, visual sudden change is avoided, and visual comfort is ensured. The design method comprises the steps of eye parameter acquisition, optical performance target definition, microstructure design and simulation optimization, through the scheme, effective decoupling of central vision and peripheral myopia control is achieved, high-definition vision is ensured, myopia progress is restrained, and wearing comfort is improved.