1095 results about "Gamut" patented technology

The invention relates to the technical field of display control, in particular to a display self-monitoring method and system and a display, and the method comprises the following steps: collecting light intensity data, comparing and classifying ambient light as low light, strong light or reflected light with a preset standard, judging whether a real-time color temperature and a standard color temperature difference value exceed a threshold value, if yes, adjusting the color temperature and the brightness, and if not, adjusting the brightness; pixel RGB channel proportions are extracted frame by frame, a color gamut distribution diagram is generated, restoration instruction time features are recorded, the color temperature adjustment trend is counted, and a backlight gradient compensation mode is generated. In the invention, the light intensity around the display is monitored in real time, the light intensity is compared with the preset illumination condition, and the ambient light condition is automatically classified, so that the display can adjust the color temperature and the brightness according to different illumination environments, and the backlight drive of the display is adjusted in time by analyzing the coverage areas of the red, green and blue channels in the display frame frame by frame; the adaptive capacity and the long-term stability of the display under variable illumination conditions are improved, and more optimized visual experience is provided for users.

The invention relates to the technical field of organic display data processing, in particular to an organic display interface multichannel signal modulation method, which comprises the following steps of: generating a standardized data set through gamma correction and gamut mapping, and inputting the standardized data set into time sequence, amplitude and frequency sub-models deployed in a federal learning framework; and respectively analyzing the pulse width-refresh rate relevance, the driving voltage-brightness nonlinear relationship and the conduction period-mobility dynamic response, generating an optimized weight coefficient, and fusing the optimized weight coefficient into a boundary constraint condition of a cross-sub-model. A migration rate parameter index, amplitude gradient calculation and duty ratio correction service of chain calling is constructed based on a service grid, a reinforcement learning dynamic routing strategy is combined to avoid resource competition nodes, and brightness error characteristics are periodically fed back to reversely optimize gradient updating. According to the method, the conflict between time sequence deviation accumulation and local optimum is effectively suppressed, the color gradation continuity, the dynamic range and the edge sharpness are improved, and efficient cooperative modulation of multi-channel signals is realized.

The invention belongs to the field of screen color gamut correction, and discloses a mobile phone screen color gamut correction method and system, and the method comprises the steps: S1, obtaining ambient light data and screen content data; s2, acquiring color correction parameters based on the ambient light data and the screen content data; s3, obtaining personalized correction parameters based on the color correction parameters; s4, obtaining partition correction parameters based on the personalized correction parameters; s5, acquiring an adaptive feedback correction parameter based on the partition correction parameter; and S6, obtaining the display color of the screen based on the adaptive feedback correction parameter. The invention provides a nonlinear color gamut mapping model so as to ensure that parameters after color correction can be accurately mapped to a color gamut range capable of being displayed by a screen. In the mapping process, the nonlinear coefficient of the mapping function needs to be dynamically adjusted according to the actual display characteristics of the screen, and the consistency of color display under different brightness and contrast ratios is ensured.

Embodiments of the present application disclose an ambient light compensation method and apparatus, an electronic device, a storage medium, and a program product. The method comprises: capturing an ambient image in response to the distance between an object and a distance sensor being less than a preset threshold; determining an original light color and a color cast value of current ambient light on the basis of color information in the ambient image, wherein the color cast value represents a color distribution state of the original light color in a color gamut; on the basis of the original light color and a preset target light color of target ambient light, determining a compensation light color corresponding to the current ambient light; determining light brightness adjustment parameters on the basis of the compensation light color and the color cast value; and on the basis of the light brightness adjustment parameters, using the compensation light color to perform light compensation on the current ambient light.

The invention relates to a color calibration method and system based on a display driving chip, and the method comprises the following steps: carrying out the sub-pixel spectrum reconstruction of an original spectrum data stream based on a color gamut boundary vector group, and obtaining a sub-pixel spectrum matrix; performing white point chromaticity estimation on the sub-pixel spectrum matrix to obtain white point chromaticity coordinates; performing gamma curve correction on the sub-pixel spectrum matrix based on the white point chromaticity coordinates to obtain a gamma correction coefficient matrix; performing color space conversion on the gamma correction coefficient matrix through a preset three-dimensional lookup table to obtain color control parameters, and inputting the color control parameters into a preset display driving chip to drive sub-pixels of each pixel unit in the display panel to emit light to obtain color calibration display output, the defects of a traditional display driving chip in the aspect of color calibration are overcome, and the defects are mainly embodied in the technical problems that color differences between different display panels cannot be effectively processed and the color drift phenomenon occurs along with time lapse.

The invention relates to the technical field of paper marking image acquisition optimization, in particular to an intelligent paper marking image acquisition system and method based on AI and terminal equipment. An original image is acquired through an image acquisition unit, and a color temperature distribution thermodynamic diagram is generated by a light source analysis unit through a convolutional neural network; the dynamic compensation unit divides compensation grids and executes exposure compensation, the self-adaptive correction unit outputs a target image through bilinear interpolation and color space conversion, and the quality evaluation unit compares a positioning mark color gamut value to trigger a grading re-shooting mechanism. The problems of insufficient complex illumination adaptability and poor image quality stability in the prior art are solved, highlight-shadow intelligent compensation, color space adaptive conversion and quality closed-loop control of the answer sheet image are realized through AI-driven multi-unit cooperation, the full-filling point recognition accuracy and the image qualification rate are improved, and the image quality is improved. And the high-efficiency examination paper marking requirement of large-scale examination is met.

The invention discloses a liquid crystal display screen gray scale control method based on adaptive brightness compensation, which relates to the technical field of liquid crystal display screen control, and comprises the following steps: collecting environmental spectrum distribution information and a pixel gray scale voltage response curve of a liquid crystal display screen in real time, and carrying out fusion processing to form a time sequence joint feature vector; through multi-mode synchronous sampling and time sequence joint feature vector generation, ambient light and screen content changes are accurately captured, target adjustment values of backlight power and gray scale voltage are dynamically predicted, and response lag and overshoot are avoided. Through spectral domain balancing and a self-adaptive damping scheduling mechanism, cooperative control of backlight and gray scale is optimized, high-frequency oscillation is suppressed, and linear response of a low-frequency band is ensured. Meanwhile, Gamma mapping and global color gamut calibration are dynamically refreshed, accurate adjustment of area-level brightness and gray scale is achieved, and continuity of the display effect and visual experience of a user are improved.

The invention provides a cross-platform content compatibility method and system based on a virtual shooting LED display screen. The method comprises the following steps: processing an irrelevant data content stream of a content stream of a heterogeneous content source to generate an intermediate data stream; constructing a virtual logic display space according to the resolution parameter of the intermediate data stream and the curvature data of the physical screen database; performing dynamic resource allocation based on the control point grid of the virtual logic display space, and generating a rendering task queue; loading a three-dimensional lookup table to perform forward color gamut conversion according to the rendering task queue and a physical screen color configuration file, and adjusting HSL offset according to collected real-time chroma data to generate frame cache data; and determining a delay compensation value based on the frame buffer data and the PTP clock signal, and inserting a corresponding time offset in an output queue through the delay compensation value to generate a multi-screen output signal. According to the scheme, the rendering accuracy, the color consistency and the display stability in the virtual shooting scene can be remarkably improved.

The invention provides a light emitting diode with improved color purity and a preparation method thereof, and belongs to the technical field of photoelectron manufacturing. The light-emitting diode comprises a first semiconductor layer, a first light-emitting layer, a second light-emitting layer and a second semiconductor layer which are sequentially stacked, the first light-emitting layer is a green light-emitting layer, the second light-emitting layer is a blue light-emitting layer, and the ratio of the light-emitting intensity of the first light-emitting layer to the light-emitting intensity of the second light-emitting layer ranges from 2: 10 to 4.8: 10. According to the embodiment of the invention, the color gamut value of the light-emitting diode can be improved, the color purity of the light-emitting diode can be improved, and the light-emitting effect is improved.

The invention discloses a control management method and system for an LED backlight source, and relates to the technical field of backlight source control. The video decoding module is used for analyzing an input video signal and extracting an image brightness distribution entropy value and a color gamut coverage degree; the backlight partition regulation and control unit is used for dynamically adjusting a backlight partition topological structure; the prediction compensation module is used for generating a future frame brightness change trend and correcting a current backlight driving signal by using a feedforward compensation coefficient; the photoelectric sensing array is used for measuring the reflection characteristic of ambient light in real time; and the collaborative dimming controller is used for acquiring the type information of the playing equipment and loading a differential dimming strategy library. By dynamically analyzing video content characteristics, ambient light conditions and equipment information source types and adjusting a backlight partition structure and brightness output in real time, the HDR scene switching response speed is remarkably improved, the dark field gray scale identification degree is enhanced, backlight instantaneous peak power consumption is reduced, the non-linear brightness requirement of streaming media content is met at the same time, and the real-time performance of the system is improved. And better visual experience is provided for the user, and energy consumption optimization is realized.

The invention discloses a backlight control method, display equipment and a computer readable storage medium, and relates to the technical field of liquid crystal display, the backlight control method is applied to a backlight system, the backlight system comprises an LED backlight source, the LED backlight source comprises a three-primary-color light-emitting source and a white light-emitting source, and the method comprises the steps of obtaining a to-be-displayed target image, determining a three-primary-color backlight gray value of the three-primary-color light emitting source based on the target image; a white backlight gray value is determined based on the three-primary-color backlight gray value, and the white backlight gray value is in positive correlation with the three-primary-color backlight gray value; and driving the three-primary-color light-emitting source to emit light based on the three-primary-color backlight gray value, and driving the white light-emitting source to emit light based on the white light-emitting source, so that the LED backlight source provides backlight. The light emitting efficiency of the backlight source is improved, and the brightness and the color gamut are considered on the basis of low energy consumption.

The invention relates to a color enhancement method and device, equipment and a storage medium, and the method comprises the steps: responding to an original RGB value of a to-be-displayed image of a screen, and detecting the illuminance of the current environment of the screen; a first three-dimensional color lookup table is obtained in response to the situation that the illuminance meets a preset condition, and the first three-dimensional color lookup table is constructed based on an original color gamut of the screen; and performing gamut mapping on the original RGB value based on the first three-dimensional color lookup table to obtain a target RGB value of the to-be-displayed image, the target RGB value being used for the screen to display the to-be-displayed image. According to the invention, the display color of the screen can be enhanced by using a larger color gamut when the illuminance meets the preset condition, the color display precision of the to-be-displayed image can be maintained, the image blurring is avoided, and the user experience can be improved.

The invention relates to the technical field of liquid crystal display, and provides liquid crystal display equipment based on a field order and a color image display method. An image to be displayed can be decomposed into three sub-frames based on a field sequential display technology, each sub-frame corresponds to a color field, when a liquid crystal panel is driven according to a main color gray scale value of the color field corresponding to each sub-frame, at least one backlight source corresponding to each color field is firstly driven to emit backlight of a first duration within a time period when liquid crystal molecules reach a steady state, and then the backlight source corresponding to each color field is driven to emit backlight of a second duration within a time period when the liquid crystal molecules reach the steady state. The white light of the second duration is emitted after the first duration, so that the white light is added in the backlight lightening stage of each color field, the color gamut range of the color field corresponding to each sub-frame is effectively reduced, and the color separation phenomenon is reduced. In addition, each subframe corresponds to a single color field or a mixed color field, so that the color separation phenomenon in various algorithms can be improved.

The invention relates to the technical field of oral cavity imaging, in particular to an oral cavity nursing monitoring imaging system and method.The system image structure decomposition module, the local contour recognition module, the image change detection module, the abnormal area filling module and the color gamut dynamic regulation and control module are included. Functional areas are clearly divided, the area recognition precision of images is improved, particularly, in tooth boundary recognition, contrastive analysis of brightness and color differences is utilized, the recognizability of tooth contours and continuous frame tracking of tooth structure changes are remarkably enhanced, the dynamic deformation path of the tooth structure changes is displayed, the monitoring capacity of tiny changes is improved, and meanwhile, the recognition accuracy of the tooth contours is improved. The automatic completion technology is used for repairing the fracture boundary in the image and restoring the boundary continuity, and the color channel is adjusted to ensure the overall visual consistency of the image and avoid visual discordance, so that the image quality and the analysis accuracy are improved.

The invention discloses a light source color preference degree evaluation method and device, equipment and a storage medium, and relates to the technical field of light source quality testing. The method comprises the following steps: acquiring a color temperature parameter of a test light source and spectral power distribution in a preset wavelength range, acquiring an associated reference light source based on the color temperature parameter, and calculating reference spectral power distribution; a color quality index is then calculated based on the plurality of test color samples according to the color temperature parameter, the spectral power distribution, and the reference spectral power distribution. Calculating a color gamut space area formed by the test color sample under the test light source according to the spectral power distribution, calculating a color resolution index according to the color gamut space area, and finally calculating a color preference index of the test light source according to the color quality index and the color resolution index. Therefore, the color preference index is calculated according to the color temperature parameter and the reference light source, the calculation process is associated with visual feelings such as visual discrimination, and a basis is provided for accurate evaluation or comparison of the color development quality of different color temperature test light sources through quantitative calculation of the color preference.

The invention provides a mobile phone screen color gamut control method and system, and the method comprises the steps: collecting the spectral characteristics of ambient light, and constructing a spectrum matrix; constructing a dynamic reference color model based on the spectrum matrix to generate a global color gamut adjustment matrix, and dynamically adjusting the screen color gamut according to the global color gamut adjustment matrix; collecting eye movement data of a user in real time, constructing a fixation area, and performing area color gamut optimization analysis on the fixation area in combination with the dynamic reference color model; according to an optimization analysis result, local compensation is carried out in combination with the global color gamut, and a final local color gamut matrix is generated; the energy consumption of the non-gazing area is reduced, and unnecessary color processing is reduced. The invention provides an intelligent and dynamic color gamut self-adaptive adjusting system by combining environment spectrum detection and eye movement tracking technologies, overcomes the defects of the prior art in the aspects of environment light adaptability, color accuracy and energy efficiency, and has remarkable innovativeness and practical value.

The invention discloses an embedded image decoding display system based on an ARM, and relates to the technical field of computers, and the system comprises a dynamic sensing module which is used for monitoring the CPU occupancy rate, the cache hit rate and the memory bandwidth utilization rate of an ARM processor in real time, establishing a three-dimensional resource vector containing a dynamic weight coefficient, and calculating a threshold boundary; the adaptive decoding engine comprises an optimization unit which is used for reconstructing a bit stream processing channel and a register data exchange mechanism based on an SIMD expansion instruction of an ARMv8.2 instruction set; the prediction unit is used for predicting instruction-level hotspot distribution of the decoding task by adopting a TinyLSTM model and generating an instruction transmitting strategy; the hardware optimization module is used for executing a heterogeneous collaboration strategy of the NEON coprocessor and the MaliGPU, and the heterogeneous collaboration strategy comprises the following steps: dividing DCT / IDCT (discrete cosine transform / inverse discrete cosine transform) calculation granularity; determining a mixing precision conversion assembly line of the GPU shader according to the color gamut of the display equipment; and the display driving module is used for implementing a decoding parameter dynamic confusion algorithm in the security domain and forming a tamper-proof closed loop with the optimization unit.

The invention discloses an intelligent management system and method applied to clothing flexible customization, and relates to the technical field of clothing intelligent manufacturing, and the system comprises a multi-source color data acquisition module, a color space preprocessing module, a dynamic color space mapping module, an edge real-time calibration module, an equipment state monitoring module and a full-process data closed-loop module. Wherein the multi-source color data acquisition module constructs a cross-device color reference library, the color space preprocessing module standardizes color data and unifies a color gamut, the dynamic color space mapping module generates and optimizes a dynamic conversion matrix, and the edge real-time calibration module updates device parameters in combination with fabric characteristics. The equipment state monitoring module constructs a correlation model to analyze the equipment state and color deviation, and the full-process data closed-loop module stores data through a block chain and optimizes an algorithm. The system realizes a complete process from fabric color data acquisition, cross-device mapping calibration, device state monitoring to full-process data closed-loop management through cooperation of the modules.

The invention discloses a preparation method of a colorimetric sensing array capable of intelligently detecting meat freshness, and belongs to the technical field of meat freshness intelligent detection systems. The preparation method of the colorimetric sensor array comprises the following steps: dissolving carboxymethyl cellulose in water to prepare an aqueous solution, then adding anthocyanin, then dividing the solution into N equal parts, taking 1 part as a blank, and respectively adding the rest N-1 parts into corresponding ionic liquids to form anthocyanin solutions with different color gamuts; the preparation method comprises the following steps: respectively casting in a culture dish, drying, uncovering a film, carrying out hydrophobic coating on the film by using a hydrophobic coating, drying, cutting into wafers with the same scale by using a puncher, and fixing in a pore plate to obtain the colorimetric sensor array. The colorimetric sensing array has the advantages of portability, visualization, no damage, stability, biodegradability, simplicity in preparation and operation, reusability and the like, can monitor and predict the freshness of meat in real time, and can solve the problems and defects of a traditional detection method.

The invention provides a Mini LED backlight module system for improving the color gamut range of display equipment, which is characterized in that firstly, high-precision electronic control and an intelligent feedback mechanism are integrated, a distributed driving framework is adopted, and refined light source adjustment is realized; secondly, the light source ratio is adjusted in real time by dynamically analyzing the image content, and the color expression range is widened; then, continuously monitoring the driving current through a closed-loop feedback system, and adopting a self-adaptive correction driving strategy to effectively inhibit the interference of environment and device aging on color stability; finally, through temperature management, power consumption and heat dissipation requirements are dynamically balanced, and stable operation of the system is ensured; in addition, a low-delay processing architecture is adopted, and video signals and backlight response are seamlessly connected. Through deep collaboration of software and hardware, the problems of poor uniformity, thermal color cast and response delay caused by color gamut limitation and aging in the prior art are systematically solved, and the display performance is remarkably improved.

The invention provides an underwater image enhancement method fusing multi-scale frequency domain and multi-color gamut features, and the method comprises the following steps: employing an underwater robot to collect an original image, carrying out the size normalization processing, and obtaining a standardized image; inputting the standardized image into a frequency domain feature enhancement network to generate an enhanced frequency domain feature; forming the standardized image into three paths of color features; splicing and fusing the three paths of color features to obtain enhanced color features; splicing and fusing the enhanced color representation and the frequency domain representation to obtain a final joint feature; and L1 loss and structural similarity loss are adopted for joint supervision, and network training is completed. According to the method, multi-scale frequency domain enhancement and multi-color gamut information enhancement are coupled in the same frame, so that collaborative repair of multiple degeneration such as color distortion, contrast reduction and detail blur of the underwater image is realized.

The invention relates to the technical field of health assessment, in particular to a traditional Chinese medicine health assessment method and system based on intelligent analysis, and the method comprises the steps: carrying out the multispectral image collection of the face and tongue picture of a user, carrying out the color gradation quantification processing and texture feature extraction of the obtained image data, and obtaining a face color gamut feature matrix and a tongue picture texture feature vector; and based on the tongue picture-complexion associated features and a syndrome description text input by the user, performing intelligent classification pre-judgment on traditional Chinese medicine syndrome types to obtain an initial syndrome label set, and based on user physique data, correcting the initial syndrome label set to obtain a syndrome feature fusion vector. Through the health fluctuation index and the health trend early warning signal, the change of the health condition of the user can be dynamically evaluated, and a personalized health intervention scheme is generated on the basis, so that the fluctuation of the health condition can be reflected in real time, intervention measures can be taken in time, and potential health risks can be prevented.

An image forming apparatus includes a first image forming unit, a second image forming unit, and a control unit configured to control the first image forming unit and the second image forming unit. The control unit performs control so as to allow execution of a first mode and a second mode in which a color gamut of an image to be formed on a printing material is expanded from the first mode, as an image forming mode for forming an image on a printing material. The second mode includes a second single-color mode in which image formation is performed by only the first image forming unit and a second multicolor mode in which image formation is performed by the first image forming unit and the second image forming unit.

The invention relates to a quantum dot optical encoder measurement error dynamic compensation method and system and a storage medium. The method comprises the following steps: acquiring a multi-color-gamut code channel image according to a quantum dot optical encoder; constructing a sub-pixel level compensation network model; a code channel fine feature extraction network, a causal inference network, a decision network, a sub-pixel level positioning network, a coding and decoding network and Q learning are introduced, so that a single-factor measurement error compensation agent is constructed; parallel decomposition multi-subtask model training is adopted, the output of a causal inference network is combined, and the compensation agent strategy proportion of each influence factor is calculated, so that a measurement error compensation agent under the influence of multiple factors is constructed; and measuring error dynamic compensation is completed. By adopting the method, decoupling of coupling errors of internal and external factors can be realized, and error compensation can be performed in a more targeted manner by analyzing the strategy ratio of each compensation sub-agent, so that the measurement precision is improved.

There is provided with an information processing apparatus. A first obtaining unit obtains first color information from a first image, which includes a pixel representing color information of a first color defined in a first color gamut and a pixel representing color information of a second color defined in the first color gamut. A first correction unit, in a case where a color difference between a third color defined in a second color gamut and a fourth color defined in the second color gamut is less than a predetermined threshold, corrects a first conversion parameter for the color conversion processing such that a color obtained by converting the first color is a fifth color. A conversion unit performs color conversion processing in which the corrected first conversion parameter is used on a second image different from the first image.

The invention discloses an intelligent cloud management high-definition card printer system, and relates to the technical field of card printers, the intelligent cloud management high-definition card printer system comprises a processor, a database and a printing module, the processor is connected with the database through signal transmission, and the printing module is connected with the processor through signal transmission. The printing module comprises an information acquisition assembly and a printing assembly, the information acquisition assembly is used for acquiring material information and environment information, the printing assembly is used for printing cards, and the processor controls the printing module to start by receiving a primary starting signal and a secondary starting signal. The processor constructs a color compensation module through information collected by the information collection assembly to output a color compensation value to adjust the printing assembly. By designing and constructing the color compensation model, the function of high-precision card printing is realized, the problems of dependence on off-line measurement, color gamut deviation and response lag are solved, the color deviation can be compensated in real time, and the quality and specialty of card printing are improved.

The invention discloses a preparation method and application of stimuli-responsive wide-gamut color-changing phosphorescent carbon dots, and the preparation method comprises the following steps: S1, at 180-250 DEG C, taking levofloxacin and acid as reaction raw materials, and carrying out hydrothermal reaction in an aqueous solution for 1-8 hours; s2, cooling a reaction product obtained by the hydrothermal reaction, and performing centrifugal separation to obtain a reactant solution; and S3, drying the obtained reactant solution to obtain the stimuli-responsive wide-color-gamut color-changing phosphorescent carbon dots. The preparation method of the stimuli-responsive wide-gamut color-changing phosphorescent carbon dots is simple, the raw materials are wide in source and easy to obtain, the reaction conditions are mild, the yield is high, and the carbon dots are green, pollution-free, low in toxicity and suitable for batch production; the stimuli-responsive wide-color-gamut color-changing phosphorescent carbon dot material fills the blank of wide-color-gamut color-changing phosphorescent carbon dot materials, solves the problem that stimuli-responsive wide-color-gamut color-changing phosphorescent carbon dots are difficult to prepare, and can be used for phosphorescent color display, advanced information encryption and food freshness monitoring.

The invention discloses a Soundbar light and television picture real-time synchronization method and device, equipment and a medium, and the method comprises the steps: obtaining a television video in real time, detecting a vertical synchronization pulse signal of the television video, taking the vertical synchronization pulse signal as a trigger signal, and carrying out the original frame rate detection of the television video; carrying out adaptive matching on the original frame rate, extracting the picture dominant hue in the television video by adopting a region weighting algorithm according to the original frame rate, and synchronously obtaining the picture dominant hue of each frame; and obtaining a conversion matrix, performing color gamut matching on the picture dominant hue by using the conversion matrix to obtain an LED actual color gamut of the Soundbar light, mapping each color value in the LED actual color gamut into an LED driving signal, and performing synchronous driving on the LED of the Soundbar light. The problems that in the prior art, linkage with the television content cannot be achieved, the dominant hue cannot be accurately extracted, and the lamplight color is disjointed with the picture content are solved.

The invention relates to a visual angle color cast correction method for a transparent display screen and related equipment, and the method comprises the following steps: carrying out the spectral data collection of a plurality of preset visual angle positions of the transparent display screen, and obtaining a visual angle spectral distribution matrix; performing color gamut space mapping on pixel units of the transparent display screen based on the view angle spectral distribution matrix to obtain a view angle dependent color shift feature map; performing color correction compensation calculation on the view-angle-dependent color offset feature map to obtain a multi-dimensional color offset compensation lookup table; performing pre-distortion processing on a driving signal of the transparent display screen based on the multi-dimensional color cast compensation lookup table to obtain a visual angle self-adaptive driving control signal; and controlling the transparent display screen to perform color cast correction based on the visual angle self-adaptive driving control signal, thereby solving the technical problems that the compensation effect is limited and even color distortion is aggravated under some extreme visual angles due to the fact that mutual optical interference among pixels is often ignored in the correction process in the prior art.

The invention discloses an insulator defect detection method based on an improved YOLOV7 power transmission system, and the method comprises the following steps: (1) collecting a plurality of high-resolution insulator images of three different defect types, and taking the high-resolution insulator images as original materials for model training; (2) performing data enhancement on an original data set material by randomly combining four geometric data enhancement technologies of image zooming and distortion, image filling, image overturning and color gamut transformation; (3) introducing a visual context network into a high-level feature extraction layer of the trunk feature extraction network; and (4) introducing an EMA attention mechanism into two output channels P4 and P5 of the trunk feature extraction network. Through a series of optimization and improvement, the method has remarkable beneficial effects in the aspects of detection precision, model robustness, detection efficiency, power system safety and the like, and has important practical application value and popularization significance for guaranteeing railway electrification facilities.