156 results about "Color calibration" patented technology

The invention provides a multi-scale pyramid weighted fusion underwater image enhancement method based on double prior, and the method comprises the steps: obtaining a degraded underwater image, and carrying out the global and local cooperation body color calibration of the degraded underwater image; decomposing the color correction image into a base layer, a detail layer and a noise layer by adopting a variational decomposition algorithm; performing spectral prior and transmissivity loss constraint on the base layer image to obtain a defogged image; fusing the detail layer image and the noise layer image to obtain a filtered image; performing enhancement processing on the filtered image by adopting a nonlinear mapping and contrast enhancement strategy to obtain an enhanced image; performing multi-level feature integration and reconstruction on the defogged image and the enhanced image by adopting a multi-scale pyramid adaptive weighted fusion method to obtain an underwater image with natural color and high visual definition; according to the method, the traditional image processing and variational optimization thought is combined to effectively correct the color deviation of the degraded underwater image, the image contrast and the detail definition are improved, and the visualization effect of the underwater image is improved.

The application provides a method for camera color calibration applied to an electronic device, the electronic device comprising a camera array (including a first camera) and a high-resolution multispectral camera, the method comprising: synchronously collecting original images of a first scene by the first camera and the high-resolution multispectral camera, wherein the first camera collects a three-channel image (a first image), and the high-resolution multispectral camera synchronously collects an M-channel image (a second image), M being a positive integer greater than or equal to 3; converting the second image from the M-channel image to a three-channel image by a first conversion function; taking the converted three-channel image as a reference to perform color calibration on the first image to obtain first color parameters for color adjustment of the first camera. In the method, the color of the array camera is aligned with the color perceived by the high-resolution multispectral camera, and the authenticity and consistency of the color of the image captured by the camera in the camera array can be improved.

The present invention relates to a circuit for multi-color LED mixed color balance calibration, the circuit comprising: an LED loop comprising one or more LED channels of different colors, each of the one or more LED channels of different colors comprising one or more LEDs of the same color and an LED switch; an LED junction point configured to be connected to one or more LED channels of different colors; a divider resistor configured to be connected between the LED junction point and the color calibration switch; a color calibration switch configured to enable or inhibit color calibration based on the received color calibration enable signal; and a microprocessor configured to generate a color calibration enable signal, measure a first voltage when each of the one or more LED channels of different colors at the LED junction is individually turned on based on the generated color calibration enable signal, and adjust a mixed color output by the LED loop based on the measured first voltage.

Systems and methods for color correction of images are described herein. An example method includes receiving, at a first time and a second time: first and second image data from an imaging device of a medical imaging system captured during a medical procedure; and first and second values of an operating parameter of a light source of the medical imaging system, wherein a color of light emitted from the light source is shifted based on the values of the operating parameter. A first color shift is determined based on the first value, and a color correction function is applied to the first image data to compensate for the first color shift to generate first color corrected image data. Second color-corrected image data is generated by determining a second color shift based on the second value and applying a color correction function to the second image data to compensate for the second color shift.

The application discloses a kind of based on multiple exposure generation fusion's low-light image enhancement system, belong to low-light image enhancement technical field.System includes: adaptive multiple exposure adjustment module (AMEA), joint prediction gamma coefficient, linear modulation factor and compensation parameter, to input low-light image carries out nonlinear and linear combination transformation, generates multiple luminance, contrast and different color response multiple exposure candidate image;Multiple exposure fusion module (MEF), original low-light image and candidate image channel splicing are carried out, and preliminary enhancement image is obtained by fine-grained weighting fusion of channel fusion coefficient and introduction of perception compensation parameter correction;Color refinement module (CRM), using encoder decoder structure and introducing fast fourier representation in bottleneck layer, realize spatial domain and frequency domain joint modeling, carry out global color calibration and local detail optimization to preliminary enhancement image.The overall network uses lightweight design such as depth separable convolution and dense connection, inference is simple, and can be run in real time in edge device.The application generates by adaptive multiple exposure, structure constraint fusion and frequency domain refinement, effectively restores dark texture, suppresses over-enhancement and color deviation, improves visual naturalness and robustness in complex low-light scene.

The invention provides an unsafe behavior early warning method and system based on big data mining. The method comprises the following steps: performing color calibration and track extraction on a historical working image to obtain a track image; inputting the track image into a neural network for training to obtain an unsafe event early warning model; inputting a currently collected activity image of the to-be-monitored person into the unsafe event early warning model for identification to obtain an activity state of the to-be-monitored person; and sending out a corresponding alarm signal according to the activity state of the to-be-monitored person. According to the method, the training samples are obtained by sequentially performing color calibration and trajectory extraction on the historical working images, and the training samples are input into the neural network for training to obtain the unsafe event early warning model, so that the activity state of each to-be-monitored person can be accurately identified by using the model; and when the activity state of the to-be-monitored personnel is abnormal, an alarm is given, so that the safety of each to-be-monitored personnel can be ensured in real time, and the supervision effect is improved.

A printing device includes a printing engine, a storage unit, and a controller. The printing engine prints on a printing medium. The storage unit stores an overall patch image including patches for color calibration for printing an image based on image data. The patches include basic patches corresponding to predetermined colors. The overall patch image has a first patch area in which the basic patches are arranged and a second patch area different from the first patch area. The controller performs: generating a specified patch that is a patch for a color specified by a user in a preview image corresponding to the image; and printing the overall patch image using the printing engine. In a case where the specified patch is generated, in the printing the generated specified patch is printed in the first patch area and one of the basic patches is printed in the second patch area.

The invention relates to the technical field of color calibration compensation, in particular to an RGB color calibration compensation method and device suitable for an automobile atmosphere lamp, and the method comprises the steps: collecting a music signal and a PWM signal of each channel of an RGB atmosphere lamp; according to beat beating characteristics and low-light saliency of the atmosphere lamp in the vehicle, calculating beating beat unbalance degree, and further combining the energy attenuation rate of each RGB channel to calculate a compensation factor of each RGB channel; and the PWM duty ratio is compensated by using the compensation factor so as to control the average voltage of each RGB channel, and RGB color calibration compensation of the automobile atmosphere lamp is realized. The invention aims to compensate the average voltage of the automobile atmosphere lamp in each RGB channel so as to realize RGB color calibration compensation of the automobile atmosphere lamp.

This invention relates to the field of electronic display technology, and more particularly to an online self-calibration system for the brightness and color of display backlight zones based on optical feedback. The system includes an acquisition module, a judgment module, a light and color calibration module, a determination module, a control calibration module, a prompting module, and an adjustment module. This invention acquires multi-dimensional parameters, synthesizes dynamic interference intensity based on tilt angle, spot illuminance, and infrared transmittance, and compares it with a preset threshold to determine the presence of interference. When interference is detected, the system compensates for the measured brightness and color temperature using the dynamic interference intensity and infrared transmittance, outputting a calibration value reflecting the true light-emitting state of the backlight. It adjusts the backlight drive current and PWM duty cycle through a collaborative calibration factor. Simultaneously, when performance degradation reaches a preset condition, a prompt is issued and the interference threshold is dynamically adjusted. This effectively solves the problems of low calibration accuracy and poor cross-screen consistency caused by the inability to distinguish between environmental interference and backlight aging, and the lack of multi-screen collaboration.

The invention discloses a portable three-dimensional reconstruction modeling instrument for fruit appearance phenotypic characters of fruit and vegetable crops. Comprising a fruit appearance phenotypic character shooting sensor support, a fruit overhanging type fixing device, a multi-head sensor module, a model geometry and color calibration device, an instrument shooting data storage module and a fruit appearance phenotypic character three-dimensional reconstruction modeling instrument control module. According to the invention, by designing a fruit omnibearing video shooting platform and a multi-head sensor group, a portable fruit and vegetable crop fruit appearance phenotypic character three-dimensional reconstruction modeling instrument is constructed; a modeling target is fixed in a suspension mode, and shooting parameters of a sensor group and the rotating speed of a sensor support can be controlled, so that fruit appearance omnibearing images are quickly and efficiently acquired, image transmission, modeling, storage and data output are realized, and the method is used for subsequent fruit appearance three-dimensional true color reconstruction modeling. And model geometry and color feature measurement is supported.

The invention discloses a color calibration method and device, projection equipment and a storage medium, and relates to the technical field of projection. The method comprises the following steps: carrying out white balance calibration under a target color gamut on projection equipment; the calibrated projection equipment sequentially projects a single-color picture of each color in the six original colors; obtaining the current color coordinates of the projected monochromatic pictures of each color in sequence through a color corrector; adjusting the color adjustment parameter corresponding to each color in the projection equipment until the current color coordinate of the monochromatic picture of each color projected again after the parameter adjustment is detected is matched with the standard color coordinate of the monochromatic picture of each color in the target color gamut, and obtaining the standard color adjustment parameter of each color in the projection equipment. Therefore, the projection equipment after white balance calibration can perform color calibration on the to-be-projected picture by using the standard color adjustment parameter corresponding to each color in the six original colors and then output the to-be-projected picture, so that the color accuracy of the projected picture is improved.

The invention is suitable for the technical field of display, and provides a display device and a control method of the display device, and the method comprises the steps: receiving a video signal from a streaming media device, and carrying out the analysis of the video signal, and obtaining a video frame sequence corresponding to the video signal; under the condition that any video frame in the video frame sequence has color correction guide information, forbidding a first image processing function, the first image processing function comprising an image processing function for automatically adjusting corresponding parameters of the dynamic picture; performing image processing on video frames in the video frame sequence according to the current image processing function to obtain a processed video frame sequence; and driving the display to display the processed video frame sequence, so that the color calibration device performs color calibration on the display, and after the calibration is completed, sending color calibration data to the streaming media device, so that the streaming media device calibrates the video signal to be sent to the controller according to the color calibration data. According to the invention, the accuracy of color calibration can be improved.

An intelligent perception system measurement test method based on image color calibration, the method is used for color defect parameter acquisition of the camera, and is used for intelligent perception test data set calibration, and the intelligent model is tested by using the calibrated data set. The method can apply the color parameters of the camera to the data through a quadratic function, obtain a test data set containing related hardware parameters, make the test of the intelligent model more close to the actual performance of the future algorithm, effectively improve the accuracy of the test result, and by comparing the test results before and after calibration, whether the current camera meets the task requirements can be effectively determined.

The application discloses a kind of deep water measurement method and system based on binocular ranging, method includes the following steps: S1, in air or ideal environment, the color calibration board image of known RGB value is collected by binocular camera, as color reference image;S2, color calibration board is placed at underwater target scene, and the first underwater image of color calibration board is collected by RGBW light supplement lamp cooperates binocular camera;S3, contrast first underwater image and color reference image, calculate the high intensity configuration parameter of RGBW light supplement lamp;S4, RGBW light supplement lamp is adjusted to high intensity configuration parameter, cooperates binocular camera and collects underwater target scene image and the second underwater image of color calibration board;S5, underwater target scene image is preprocessed, and underwater target scene actual image is obtained.The application solves the problem that the measurement accuracy is not enough in the application of existing measurement technology under deep water condition, and can realize the efficient operation of accurate identification and reliable analysis of underwater target.

The invention discloses a field geological specimen rapid classification and knowledge pushing system based on image recognition, and relates to the technical field of image recognition processing, and the system comprises a specimen image collection and preprocessing module which collects geological specimen images, and carries out the noise reduction, color calibration, specimen region segmentation and feature enhancement processing of the images; the deep learning classification model module is used for identifying specimen types and specific categories based on a convolutional neural network according to the geological specimen images; the knowledge base construction and knowledge pushing module is used for constructing an associated knowledge base, pushing personalized knowledge based on a deep learning classification result and a user identity, and supporting field instant lookup; the data management and synchronization module is used for recording specimen classification results, collecting information and realizing local and cloud data synchronization; and the man-machine interaction module provides a simple operation interface and adapts to field operation requirements. The problem of low classification accuracy in the prior art is solved, and the field environment adaptability and the knowledge pushing instantaneity are improved.

The present application relates to the printing technical field, specifically to a kind of color registration calibration method, device and equipment based on virtual nozzle.The method includes: selecting one nozzle as reference nozzle from several nozzles, and selecting a column of nozzles as reference nozzle column from reference nozzle;A virtual nozzle is constructed, and the offset adjustment value of virtual nozzle relative to the reference nozzle column is preset;The calibration value of each nozzle column relative to the reference nozzle column is obtained, and is recorded as relative calibration value;The relative calibration value is converted into the calibration value of each nozzle column relative to virtual nozzle according to offset adjustment value, and is recorded as absolute calibration value;According to absolute calibration value, each nozzle column is calibrated.The embodiment of the present application converts relative calibration value into absolute calibration value, when a certain nozzle column needs to be calibrated separately, it will not affect the absolute calibration value of other nozzle columns, thereby greatly improving the efficiency of printing calibration.

This invention discloses a color calibration method for a structured light camera based on color temperature consistency, belonging to the field of camera calibration technology. The method includes: constraining color temperature consistency based on the linear relationship between the exposure time of the RGB light source and the image grayscale in the structured light camera; performing light uniformity correction on the structured light camera based on color temperature consistency; performing white balance correction on the structured light camera after completing the light uniformity correction; and completing the color calibration of the structured light camera using a color chart while ensuring the white balance constraint. Utilizing a grayscale sensor combined with an RGB light source for color calibration reduces hardware costs and system complexity while maintaining the high sensitivity and high signal-to-noise ratio advantages of the structured light camera.

A color correction chart (10) is provided with a substrate (11) and a color patch (12a) formed on the substrate (11), the color patch (12a) includes a first color, and coordinate points of the first color are located in a region (L1) surrounded by three points (0.200, 0.070), (0.450, 0.280), (0.310, 0.340) on an xy chromaticity diagram.

The present application provides a filter, a camera module, a camera apparatus, and an electronic device. The camera apparatus comprises a first camera module, wherein the first camera module comprises a lens, a filter, and an image sensor which are sequentially arranged along an optical axis. The filter is used for allowing light within a target wavelength range to pass through to acquire, on the image sensor, spectral information of a target object; and the filter has a first transmittance curve acquired under a normal incidence condition and a second transmittance curve acquired under an oblique incidence condition. On the first transmittance curve, a wavelength corresponding to 50% transmittance comprises a first wavelength, and the first wavelength is within the range of 600 nm-660 nm; and on the second transmittance curve, a wavelength corresponding to 50% transmittance comprises a second wavelength, and the difference between the first wavelength and the second wavelength is within the range of 0-20 nm. The described technical solution can improve the color calibration accuracy of the camera module while ensuring the color reproduction capability of the camera module.

The embodiment of the disclosure belongs to the technical field of signal processing, and particularly relates to a color synchronization and color difference correction method and device for FPV unmanned aerial vehicle digital decoding, which comprises the following steps: receiving an analog image transmission signal of an FPV unmanned aerial vehicle, digitally sampling the analog image transmission signal, and obtaining chrominance signals of a plurality of sampling points in each row; calculating a phase error of each row based on the chrominance signals of the plurality of sampling points in each row and a local oscillator signal of a receiving end device; performing phase compensation row by row based on the phase error of each row, and digitally decoding the chrominance signals after phase compensation; and performing color calibration compensation on the original CVBS signal according to the chrominance difference between the digitally decoded signal and an actual analog signal. The scheme simplifies the color synchronization process, avoids the complexity of a traditional phase-locked loop, and at the same time, through independent calculation of the phase error of each row, accurate chrominance compensation is performed, and the image quality is significantly improved.

The invention is suitable for the technical field of color management, and provides an inkjet color calibration method and system based on material characteristics, and the method comprises the steps: obtaining a multiband reflectivity image of the surface of a to-be-inkjet substrate through multispectral imaging; extracting material features of the base material from the reflectivity image; acquiring ambient light spectrum data, and correcting the color appearance model; based on the material features and the corrected color appearance model, mapping a target color space to a device-related color space through a color conversion model, and generating a color conversion lookup table; according to the material characteristics, ink jet parameters are optimized; and according to the color conversion lookup table and the optimized inkjet parameters, controlling inkjet equipment to execute inkjet. According to the invention, the technical problems of color distortion, low calibration efficiency and inconsistent colors of multiple devices during cross-material painting due to the fact that the optical property difference of materials is not considered in the prior art are solved.

This invention relates to the field of medical image processing technology, and proposes an intelligent method for color calibration of dental photographs and an automatic color selection system for prostheses. The method includes: receiving an oral image containing a shade guide and teeth; identifying the shade guide and target teeth in the oral image; obtaining the distorted color value of the shade guide; constructing a color difference conversion model based on the distorted color value and pre-stored standard color values ​​of the shade guide; and performing color correction on the target teeth in the oral image based on the color difference conversion model to obtain a corrected image. This invention solves the problem of tooth color distortion in oral images.

A color calibration system and a color calibration method are provided. The color calibration method includes: measuring a first calibration image displayed by a first display device to obtain optical characteristic information by an image capturing device; receiving the optical characteristic information from the image capturing device and converting a data format of the optical characteristic information to generate a first calibration command by a server; and receiving the first calibration command from the server, updating a first display parameter of the first display device according to the first calibration command, and displaying a first output image according to the updated first display parameter by the first display device.

The application belongs to the field of intelligent manufacturing, and discloses a bionic body manufacturing method, device and system supporting remote customization of a user, electronic equipment, a storage medium and a computer program product, solves the problem that the finished product does not meet the expectation due to image transmission distortion in remote customization, and the method comprises the following steps: acquiring customized images (previously obtained by the user by shooting a reference object and a first calibration card by using a first camera) shot from multiple angles; the first calibration card comprises a color calibration card and a skin calibration card; a calibration body is arranged in the color calibration card and / or the skin calibration card, and is used for calibrating an illumination condition and a camera spatial frequency response; for each angle, imaging scene parameters on the user side are generated according to the customized images; cross-scene calibration parameters are determined according to the imaging scene parameters on the user side and the manufacturing side; after the reference object images in the customized images are corrected according to the cross-scene calibration parameters, bionic body 3D modeling is performed according to the reference object images of each angle to manufacture a bionic body.

The invention discloses a plant phenotype extraction-oriented point cloud calibration method and a plant phenotype extraction-oriented point cloud calibration system. The method comprises the following steps of arranging a 3D printing cylindrical disc with known sizes and clear plane normal characteristics and a standard color card in a plant point cloud acquisition scene; extracting point cloud data of the cylindrical disc region, and carrying out point cloud scale and direction calibration based on plane fitting and normal vector calculation of the cylindrical disc region; cutting the calibrated point cloud data to obtain a color card area point cloud, and generating a point cloud top view; performing color block detection on the point cloud top view, extracting an effective color block, constructing a matching relationship between a reference color block of a standard color card and a center point of the effective color block of the point cloud, calculating a rotation matrix and a translation vector between the reference color block and the point cloud color block based on a two-dimensional rigid transformation model, mapping the reference color block into the point cloud top view, and performing missing color block prediction; and constructing a color correction matrix to realize global color calibration. According to the invention, the consistency of the scale, direction and color of the point cloud can be improved.

The invention relates to the technical field of wetland water environment investigation and analysis, in particular to a wetland environment condition acquisition, investigation and analysis method, which comprises the following steps: S1, acquiring unmanned aerial vehicle image data of a wetland research area, and acquiring in-situ water quality index data and geographic coordinates of a plurality of sampling points in a wetland; s2, performing aerial triangulation and ortho-mosaic processing on the unmanned aerial vehicle image data to generate an ortho-mosaic image; and S3, performing white balance correction on the orthographic mosaic image based on the color calibration plate reference area in the orthographic mosaic image. According to the method, the water quality spatial distribution diagram generated by inversion is automatically compared with the preset optical early warning threshold value, so that real-time identification, spatial positioning and early warning signal output of the abnormal water quality area are realized, potential environmental risks such as eutrophication and turbidity abnormity can be actively found in the early stage, and the early warning effect is improved. And visual and operable decision support is provided for wetland ecological protection and pollution prevention and control.

A display panel, a driving method thereof and a computer readable storage medium. The driving method of the display panel comprises: adjusting a first Gamma curve of the display panel; the first Gamma curve is a Gamma curve of the display panel in a first luminance interval; calculating a second Gamma curve of the display panel according to the first Gamma curve; the second Gamma curve is a Gamma curve of the display panel in a second luminance interval; 0 < first threshold value <= first luminance interval <= second luminance interval; performing luminance interpolation between the first luminance interval and the second luminance interval; performing color calibration on the interpolated luminance at different pixel opening rates to obtain a gray scale compensation coefficient of the interpolated luminance at different pixel opening rates; and storing a mapping relationship between the gray scale compensation coefficient and the pixel opening rate.

The invention discloses a high-fidelity printed card image reproduction method and system based on dynamic color calibration, and aims to solve the problem of color distortion caused by environment change, material difference and equipment drift. According to the method, a physical standard color card is arranged on each card, a reflection spectrum of the card is collected in real time by means of hyperspectral imaging, environmental parameters are sensed synchronously, a color characteristic curve is dynamically generated in combination with a printing material recognition technology, and then reverse mapping correction is conducted on an original image. And color drift is automatically compensated in continuous printing through a closed-loop feedback mechanism. According to the method, the conversion from static presetting to dynamic self-adaptive calibration is realized, the accuracy and batch consistency of color reproduction are remarkably improved, and the method is suitable for the field of high-end printing with extremely high requirements on color fidelity.

Embodiments of the present application disclose a color correction method and device, electronic equipment and a storage medium. After obtaining a sensor output image in an image acquisition device, for each channel of each pixel in the image, a target value corresponding to an actual value is found in a preset corresponding relationship table. The target value is used to replace the actual value to obtain a corrected image. Each target value in the corresponding relationship table is in a linear relationship with an exposure time of the sensor output image. In the corrected image obtained based on the present application, the value of each channel of each pixel is in a linear relationship with the exposure time of the sensor output image, which ensures that the dark part color in the subsequent color calibration process is correct, and overcomes the problem that the captured image is prone to dark part color distortion.

A system produces medical images that are calibrated using a calibration slate. A subject is photographed with a calibration slate shown in the image. The calibration slate includes printed colors. The printed colors shown in the captured image can be compared against standard colors associated with the slate to color calibrate the image. Various types of medical images such as images showing wounds or other skin conditions may be color calibrated using the system.