109 results about "Color compensation" patented technology

The invention discloses an intelligent asthenopia control method and system based on eye movement and electroencephalogram data. The method comprises the steps that eye movement time sequence data and electroencephalogram rhythm signals of a user are synchronously obtained through a multi-mode sensing unit; inputting the eye movement time sequence data and the electroencephalogram rhythm signal into a multi-modal fusion decision model, and generating a fatigue level through feature weighting based on an attention mechanism; at least one intervention mode is dynamically selected according to the asthenopia level, and the intervention modes comprise the first mode, the second mode and the third mode; in the first mode, a display interface adjusting instruction containing natural light simulation parameters is generated, and the display interface adjusting instruction is integrated with a vegetation color system compensation algorithm; and mode 2: starting a visual training program with ecological images, and generating a dynamic guide mark simulating natural motion on an interface. According to the invention, through a data-environment-physiology multi-dimensional collaborative innovative architecture, the spanning of asthenopia regulation from passive response to ecological active restoration is realized.

The invention relates to the technical field of image focus detection, in particular to a fiber endoscope image focus detection method and system, and the method comprises the following steps: providing a data quality guide interface; capturing narrow-band light images of the endoscope away from a first preset position and a second preset position of the intestinal wall in the axial movement process, calculating brightness gain values of a blue light channel and a green light channel, calculating an asymmetric scattering correction coefficient, and updating indication of color information calibration integrity; tracking the pixel moving speed of the interferent in the view in the propulsion operation process, calculating the relative depth of the interferent, and updating the indication of the validity of the depth data of the interference layer; identifying the image area which is not shielded by the interferent, and updating the indication of the information coverage degree of the background area; triggering an image synthesis operation; performing color compensation on the image information of the image area which is stored in the background canvas and is not shielded by the interferent; reconstructing a clear image; and performing focus detection on the clear image. The method improves the accuracy of focus detection.

The invention discloses an underwater image enhancement method and computer equipment, and the method mainly comprises the steps: correcting the color of an underwater original image through employing a self-adaptive color compensation algorithm, enhancing the details through employing a Multiply Contour Bougie (MCB) morphological detail enhancement algorithm, and achieving the global enhancement through employing a self-adaptive gamma correction method. And finally, fusing the detail and global enhancement result through a weighted stationary wavelet visual perception fusion strategy to obtain a final underwater image. The minimum color loss (MCL) algorithm designed by the invention can solve the problem of color channel information loss, so that the mean value of each color channel is similar to the histogram distribution; the image contour can be restored based on an MCB morphological detail enhancement algorithm, and details are highlighted; according to the weighted stationary wavelet visual perception fusion strategy, image information of different scales can be integrated, the definition and the layering sense are improved, the defects of a traditional method in detail and noise processing are overcome, and a high-quality image is obtained.

The invention provides a perception-consistent underwater image enhancement method, and relates to the technical field of image enhancement. The method comprises the following steps: firstly, performing dual-channel color compensation, white balance correction and histogram contrast enhancement on an original image to obtain a color enhanced image; secondly, performing median filtering and gamma correction on a brightness channel to generate a multi-exposure image sequence; extracting a detail layer and a base layer of each exposure image, performing weighted fusion based on contrast, exposure and saturation weights, and realizing detail enhancement in combination with rapid steering filtering; and finally, fusing the color enhanced image and the detail enhanced image according to the contrast ratio, the saturation degree and the structural saliency. According to the method, the image quality is improved through dual-path cooperation and dynamic exposure fusion, the method is suitable for scenes such as underwater monitoring, aquatic product monitoring and underwater inspection, complex training is not needed, and deployment on low-power-consumption equipment is facilitated.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

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 provides a thangka image exposure correction method and device based on illumination separation and color compensation. A composite network architecture is constructed and comprises three core modules: an illumination separation simulation module (LSAM), an adaptive convolutional color compensation module (ACCM) and a wavelet attention feature enhancement module (WAEM), the LSAM generates darkening and brightening feature maps through illumination separation, and image details are enhanced in combination with channel attention and a multi-scale self-attention mechanism; the ACCM dynamically adjusts color deviation through dynamic convolution and deformable convolution, and color errors are reduced; wAEM is combined with wavelet transform and an attention mechanism to extract and enhance low-frequency and high-frequency features of the Thangka image, and texture and color details are enhanced. Through cooperative work of the modules, the problem of uneven exposure of the Thangka image can be effectively solved, the color fidelity and detail definition of the corrected image are remarkably improved, and effective technical support is provided for digital repair and protection of the Thangka image.

The invention relates to the technical field of display screen color correction, and provides a film and television shooting LED display screen color correction method and system, and the method comprises the steps: obtaining a real-time video stream from a camera; generating color priority region identification information based on the real-time video stream; setting a corresponding target reference color for the identified color priority area; acquiring pixel data of the color priority area from the real-time video stream according to the color priority area identification information; comparing the pixel data of the color priority area with a target reference color to obtain a color deviation; generating a local color compensation scheme according to the color deviation; performing color transition processing on the non-priority area by using a local color compensation scheme to obtain an input signal sent to the LED display screen; and applying the local color compensation scheme to an input signal in real time so as to realize color correction of the LED display screen. The method has the advantages that the picture reality sense and the manufacturing efficiency are improved.

The application discloses a mobile phone screen display image enhancement method and system, and relates to the technical field of mobile phone screen control.The method comprises the following steps: acquiring a user face video stream and mobile phone space motion data; identifying head posture information according to the user face video stream; identifying mobile phone posture information by using an extended Kalman filter according to the mobile phone space motion data; calculating a polarization axis included angle between a polarization axis of polarized sunglasses and a polarization axis of a mobile phone screen according to the head posture information and the mobile phone posture information; determining mobile phone screen adjustment parameters according to the polarization axis included angle; and performing compensation processing on the mobile phone screen according to the mobile phone screen adjustment parameters, wherein the compensation processing comprises brightness compensation and color compensation.The application can determine mobile phone screen adjustment parameters in combination with head posture information and mobile phone posture information, and perform brightness compensation and color compensation, so as to realize display image enhancement, and improve accuracy and user experience.

This invention relates to the field of projection equipment technology, specifically providing a temperature-adaptive color correction system and method for DLP projection equipment. The system includes an optical temperature monitoring module comprising four temperature sensors for temperature monitoring; a main control processing module using a microcontroller as the core processor, comprising four ADC channels for color compensation calculation; and an execution drive module comprising a first subunit (RGB laser driver circuit connected to the microcontroller), a second subunit (multi-zone fan control circuit), and a third subunit (power management circuit) for heat dissipation control. The microcontroller is connected to an EEPROM memory chip via an I²C bus. A heat dissipation structure module includes four axial fans and corresponding air ducts for each fan. Multiple temperature sensors are placed on key optical components such as the RGB laser and DMD chip to monitor the actual operating temperature of each area in real time.

The application relates to the technical field of display, and discloses a self-adaptive color deviation compensation method and device of a liquid crystal display screen and a storage medium, the method comprising the following steps: collecting real-time ambient light change data, and generating ambient light feature data set; analyzing the mapping relationship between screen color deviation and light parameters in the ambient light feature data set, determining the interference mode of ambient light on screen color; constructing a color rule database according to the interference mode, and generating a reference data matrix for real-time color deviation compensation; generating a self-adaptive color adjustment curve based on the reference data matrix, determining color compensation parameters under different ambient light conditions; and generating a color compensation scheme according to the color compensation parameters, and adjusting the color presentation of the display screen in real time. The application solves the problem of screen color deviation of the liquid crystal display screen under complex and changeable light environments, realizes real-time correction of the liquid crystal display screen, and ensures the accuracy of color display under different light environments.

The present application relates to the technical field of image analysis, and specifically provides a special-shaped sample color measurement defect correction and error compensation method and system based on image analysis, which comprises the following steps: collecting an original image of a sample to be measured and preprocessing the original image to obtain a to-be-measured image; matching the to-be-measured image with a pre-constructed color measurement defect standard database, identifying defect features and positions through an image analysis algorithm, matching a correction strategy to obtain a correction image of an effective color measurement area; adjusting color measurement instrument parameters according to the defect features, collecting color values of the effective area, and performing mean value processing to obtain original average color values; extracting image shape, material and color core features, matching a color compensation algorithm in association with the original average color values, and completing compensation to obtain target color values. The method realizes full-process automation of special-shaped sample color measurement, effectively eliminates collection deviations caused by shapes, improves color measurement precision and efficiency, and adapts to industrial high-precision control requirements.

The invention discloses a saturation adjustment method, an electronic device, a storage medium and a computer program product, and relates to the technical field of image recognition, and the method comprises the steps: analyzing the color distribution condition of a to-be-processed image frame, and obtaining a color compensation coefficient, the color distribution condition comprising a color ratio, and the color ratio is inversely proportional to the color compensation coefficient; determining a basic saturation compensation coefficient corresponding to the illumination parameter of the current environment, and obtaining a target compensation coefficient based on the color compensation weight and the basic saturation compensation coefficient; and adjusting the saturation of the to-be-processed image frame based on the target compensation coefficient to obtain a target image frame. The technical problem that the display effect is poor due to the fact that current display equipment is poor in environment self-adaptive capacity is solved.

The invention relates to a multi-degree-of-freedom desilting and obstacle clearing operation track planning and control method, and belongs to the technical field of desilting and obstacle clearing operation. The method comprises the following steps: dividing an underwater image collected by a multi-beam image sonar into a plurality of sub-images, carrying out two-dimensional Fourier transform on each sub-image to obtain a frequency domain signal after Fourier transform, and denoising to obtain a denoised underwater image; performing color compensation on the denoised underwater image to obtain a compensated underwater image, and training a deep learning model to obtain a sludge recognition model; and using the sludge identification model to detect the sludge in the water at the target dredging position so as to complete the dredging operation. According to the method, the deep learning model is trained by using the denoised underwater image, the sludge identification model for the sludge features is constructed, and compared with a traditional image processing method based on threshold segmentation, edge detection and the like, deep features of the sludge in multiple dimensions such as texture, color, shape and the like can be adaptively extracted; and high-precision detection and segmentation of the sludge area are realized.

The present application discloses a display control method and device for an electronic device, an electronic device, and a storage medium, belonging to the field of display control technology. The display control method includes: obtaining posture information and viewing angle information of the electronic device, and determining M target display units among N display units; determining the equivalent color coordinates of each target display unit based on the posture information and viewing angle information, thereby obtaining M equivalent color coordinates; determining a first color compensation value for each target display unit based on each of the M equivalent color coordinates, thereby obtaining M first color compensation values; determining a second color compensation value for each non-target display unit based on the M first color compensation values; and controlling the display content of the display panel based on the first color compensation values ​​and the second color compensation values.

The invention relates to the technical field of digital signal processing, and provides an MIP LED light color compensation driving method and device based on deep learning. The method comprises the following steps: acquiring real-time data of an MIP LED array, preprocessing the real-time data, and generating a multi-modal data tensor formed by standard data; performing decoupling processing on the data tensor by constructing a decoupling network to generate a decoupling component; performing volt-ampere characteristic modeling based on product data of the MIP LED array to generate volt-ampere characteristic parameters, and generating compensated driving voltage according to the decoupling component and the volt-ampere characteristic parameters; and performing fusion processing on the driving voltage and a driving signal in the real-time data to generate a control signal. Real-time data containing driving signals and the like are firstly obtained, brightness and other components are separated through decoupling processing, compensation driving voltage is generated in combination with hardware volt-ampere characteristics, finally, control signals are generated through fusion, and the stability, accuracy and uniformity of light color output of the MIP LED array are effectively improved.

The invention relates to a display device, a method of compensating brightness and color of the display device, and an electronic device. The display device includes: a display panel including a plurality of compensation areas, each of the plurality of compensation areas including at least one pixel; a driving controller including a compensation controller and a luminance color compensator, the driving controller performing luminance and color compensation for each of the plurality of compensation regions and generating a voltage code and a data signal; a gamma reference voltage generator receiving the voltage code and generating a gamma reference voltage based on the voltage code; and a data driver connected to the driving controller and the gamma reference voltage generator, and generating a data voltage based on the data signal and the gamma reference voltage. Each of the plurality of compensation regions after luminance and color compensation may have a target gamma value and a target color coordinate. The plurality of compensation regions may be shifted while brightness and color compensation is performed.

The invention relates to the field of intelligent wearable equipment, and discloses intelligent sleeve glasses type multifunctional liquid crystal dimming glasses which comprise a glasses frame, glasses legs are fixedly connected to the two sides of the glasses frame, a color adjusting assembly is fixedly connected to the outer portion of the glasses frame, a shell is fixedly connected to the outer portions of the glasses legs, and an interaction assembly is installed in the shell. The shell is used for communicating with a mobile terminal APP and customizing the light transmittance, and a modularized light color self-adaption and audio enhancement integrated system is installed in the shell. The light color sensing module is arranged to collect ambient light intensity and spectral information in real time, a multi-layer color adjusting assembly composed of a red dye liquid crystal layer, a blue dye liquid crystal layer and a neutral gray light reducing film is combined, and a light color compensation algorithm integrated in the central processing module is used for cooperative operation. The driving voltage of the three layers of optical films can be dynamically adjusted according to specific color temperature characteristics of ambient light and user setting, so that color cast is compensated while brightness is adjusted.

This invention discloses an underwater image correction method and system based on adaptive color enhancement. The invention first performs preliminary color compensation processing on the acquired original underwater image to be corrected; then, it uses a minimum color loss constraint to perform equalization adjustment on the result of the preliminary compensation processing; finally, it performs color compensation processing on the result of the equalization adjustment to complete the image correction of the original underwater image to be corrected. This invention can improve the color restoration effect and can be widely applied in the field of image processing technology.

The invention discloses a multi-dimensional visual uniformity compensation and enhancement method for a curved-surface tail lamp. The method comprises the following steps of S1, performing angle and distance compensation on a display image of the curved-surface tail lamp; s2, splicing compensation is carried out on the curved surface tail lamp display image; and S3, performing color compensation on the curved surface tail lamp display image. The invention provides a multi-dimensional visual uniformity compensation and enhancement method for a curved surface tail lamp, so that the brightness perception of the whole tail lamp tends to be consistent no matter from which angle an observer sees in a preset observation area, and the brightness difference caused by the curved surface is eliminated. On the premise that hardware is not changed, edge transition is softened and strengthened through an algorithm, the abrupt feeling of a splicing seam is greatly weakened, and the integrity and continuity of display are improved. It is guaranteed that the tail lamp displays any color accurately and consistently, LED supersaturation or damage caused by excessive driving is avoided, reliability is improved, and the service life is prolonged.

This invention relates to the field of display control technology, specifically a method for reducing the power consumption of LED televisions. The method acquires illuminance using an ambient light sensor with integrated infrared suppression function, and generates effective ambient light feature values ​​through time-delay nonlinear hysteresis filtering; calculates the average image level and brightness histogram of video frames to generate image content features; calculates first and second backlight reference values ​​respectively, and uses a cross-state weight allocation strategy to dynamically map the target backlight adjustment value. Simultaneously, it extracts video motion vector information to bypass redundant calculations of static images; employs a nonlinear cosine gradient mathematical function to achieve a smooth transition of the physical backlight, and simultaneously uses a weighted piecewise linear enhancement curve for pixel-level visual lossless color compensation. This invention achieves a multi-dimensional dynamic balance between image quality protection, extreme energy saving, and computational optimization in complex scenarios.

The invention discloses a self-adaptive underwater image enhancement method based on multi-domain fusion and color compensation, and belongs to the technical field of image processing, and the method comprises the following steps: S1, obtaining an underwater image, and carrying out the data preprocessing of the underwater image; s2, carrying out adaptive underwater defogging compensation processing on the preprocessed underwater image; and S3, performing color balance processing on the underwater image after the adaptive underwater defogging compensation processing to complete underwater image enhancement. According to the method, the defects of insufficient cross-environment generalization ability, inaccurate color recovery, large calculation burden and the like in the prior art are effectively solved, and the method has better underwater environment adaptability and real-time processing potential in combination with self-adaption, a physical principle-based module, selective filtering and a color optimization strategy; and a more accurate and efficient technical scheme is provided for fine perception of the underwater environment.

This invention discloses a collaborative advertising printing method, device, and medium based on edge computing, relating to the field of edge computing technology. The method includes: distributing print data streams to edge computing nodes according to an advertising printing collaborative execution queue; continuously monitoring the changing trends of color compensation amplitude and paper feed compensation amplitude during print data stream correction; generating a compensation instability migration control sheet; based on the compensation instability migration control sheet, marking the continuation positions of unfinished tasks in the advertising printing collaborative execution queue; transferring unfinished tasks to available edge computing nodes in the node collaborative allocation relationship for continued execution; synchronously updating the cache reuse status and carrying stability status; and generating a closed-loop collaborative advertising printing archive. This invention improves the collaborative processing efficiency of advertising printing tasks among multiple edge computing nodes.

The application discloses a Rayleigh scattering self-adaptive color compensation image defogging method, applied to the technical field of image processing, and comprises the following steps: based on the improved bright channel, reference images are obtained to segment bright and dark areas of a foggy image, a threshold value is set to select the image of a dark channel prior theory failure part, the transmittance is optimized through a tolerance value, the foggy image is smoothed by using a guide filter, and the atmospheric light value is analyzed through the Rayleigh scattering theory; the image is evaluated by using an HCC objective parameter, the atmospheric light value of the B channel is repeatedly iterated and compensated, and finally, the image defogging is completed. The application effectively improves the image defogging precision, enriches the image details, solves the image color difference problem, improves the image brightness, and eliminates the sky area halo problem.

This application provides a color temperature compensation method and display device for display panels. The method determines full grayscale color temperature data using first chromaticity coordinate information and compensated color temperature data using second chromaticity coordinate information. It then matches the uncorrected full grayscale color temperature data with the compensated color temperature data, determining the difference between each grayscale color temperature data under uncorrected conditions and the standard grayscale color temperature data. This allows adjustment of the grayscale of each solid color image, thereby changing the compensated color temperature data to be close to or even equal to the standard grayscale color temperature data. The method determines the compensated color temperature data corresponding to each grayscale color temperature data under uncorrected conditions, thus determining the corrected chromaticity data for each grayscale. Finally, color compensation is performed on the display panel based on the corrected chromaticity data. This process eliminates the need to capture chromaticity images or extract data, improving data processing efficiency.

The invention provides a pathological section color complementing method based on artificial intelligence, and relates to the technical field of digital pathology, and the method comprises the steps: carrying out the section digital processing of a fading image and a normal dyeing image of the same dyeing in a pathological section, and obtaining a training data set; standardizing the faded slice image in the training data set to obtain a target faded slice image; constructing a complementary color model; training the complementary color model by using the training data set to obtain a trained complementary color model; processing the target faded slice image by using the trained complementary color model to obtain complementary color image blocks; and splicing the color complementing image blocks of the same section to obtain a color complementing result, and completing color complementing of the pathological section. The problem that in the prior art, the dyeing quality of pathological sections is not high is solved.

The application discloses a mobile phone auxiliary screen light supplement control method, device, equipment and storage medium. The application receives a video signal from a Scaler module through a picture processing module; controls a light sensing module to monitor environmental brightness in real time and transmits environmental brightness data to the picture processing module; controls the picture processing module to compare the environmental brightness data with a preset brightness value to determine whether to turn on a light supplement lamp; after turning on the light supplement lamp, controls the picture processing module to confirm the initial brightness of the light supplement lamp; controls the picture processing module to perform picture analysis and processing on a video display picture according to the video signal; determines a color compensation value and a brightness compensation value of the video display picture according to the result of the picture analysis and processing; and performs color compensation and brightness compensation on the video display picture according to the color compensation value and the brightness compensation value of the video display picture. The application can automatically and intelligently adjust light supplement according to the environmental brightness of a mobile phone auxiliary screen device, and can realize color difference compensation of a video display picture, thereby improving the picture display effect.

An optical device includes a display device emitting a light and a polarization rotator. The polarization rotator is disposed in front of a light emitting surface of the display device. The polarization rotator includes a wave plate assembly and a back polarizer. The wave plate assembly includes a first quarter-wave plate having an optical axis oriented at a first angle, a first half-wave plate having an optical axis oriented at a second angle, and a second quarter-wave plate having an optical axis oriented at a third angle, in which the first half-wave plate is between the first quarter-wave plate and the second quarter-wave plate, and the second angle is different from the first angle and the third angle. The wave plate assembly is optically coupling between the back polarizer and the display device.

The invention relates to a composite pane (1) for separating an interior (INT) from an exterior (AMB), at least comprising, in the following order, an outer pane (2) having an exterior-side surface (I) and an interior-side surface (II), a first connecting layer (4), at least one photovoltaic component (6), which has at least one colored semitransparent photovoltaic cell (7), a second connecting layer (5), and an inner pane (3) having an exterior-side surface (III) and an interior-side surface (IV). A color compensation layer (8) is formed on the interior-side relative to the at least one photovoltaic component (6), and at least in the regions of the composite pane (1) in which the at least one colored semitransparent photovoltaic cell (7) is provided in a view through the composite pane (1), the transmission through the composite pane (1) from the exterior (AMB) into the interior (INT) deviates from the mean value by a maximum of 5% points in the wavelength range of 400 nm to 780 nm.

A light source module is composed of three independent RGB light-emitting units, each light source is provided with an independent constant-current driving circuit, and pulse width modulation (PWM) dimming is supported; the sensor module is integrated with a three-channel photoelectric detector and a control module, a plurality of groups of standardized light intensity curve parameters are preset, and a digital PID controller is adopted to dynamically adjust light source output; and the baseline calibration unit is used for executing three-stage calibration, namely dark current calibration, monochromatic reference calibration and double-color compensation calibration before titration is started, and synchronously adjusting the voltages of the G light source and the B light source to G1base and B1base after the R light source is turned off. The invention solves the problems that the light path system of the full-automatic Kjeldahl azotometer product in the current market is a constant energy light path, if the color and concentration of the absorption liquid are greatly changed, the intensity or color of the light emitted by the light path system cannot be changed, the signal received by the color sensor is unstable, and the titration curve is inaccurate.