281 results about "Color calibration" patented technology

The invention provides a deep learning self-calibration system for high-precision color management, and relates to the technical field of color calibration, a system architecture comprises an algorithm layer, a system architecture layer and a data processing and optimizing layer, through fusion of multiple advanced algorithms in the algorithm layer, the precision of color correction is effectively improved, and the accuracy of color correction is improved. The high consistency of colors of printed matters in the whole production process is ensured, the quality stability of printed products is greatly improved, data processing is carried out through all modules of the data processing and optimizing layer, real-time data in the printing production process are efficiently processed, a model is dynamically updated, and the printing production efficiency is improved. The design of the system architecture layer provides a comprehensive adaptation scheme for large-scale production, multiple links and multiple equipment materials in the printing industry, the universality and flexibility of the system are enhanced, and the system is suitable for large-scale production, multiple links and multiple equipment materials in the printing industry. The time and labor cost for readjusting the system due to the change of equipment materials is reduced, and the production strain capacity of enterprises is improved.

The invention discloses a fishery underwater image enhancement method based on a multi-branch joint correction network, and the method comprises the steps: carrying out the denoising of an original underwater image through a minimum image segmentation noise separator, and obtaining a brightness channel and a color channel; secondly, decoupling a brightness channel to obtain intrinsic characteristic information and brightness information, and designing a brightness correction network to eliminate brightness degradation of the image; and performing multi-scale feature extraction on the corrected brightness channel, and performing wavelet transform on the brightness channel to a frequency domain to obtain an enhanced brightness channel. And carrying out difference operation on the two brightness channels before and after brightness correction, and then carrying out binarization processing to obtain an artificial light source illumination area mask. And finally, carrying out artificial light source illumination area mask-guided color restoration on the color channel, outputting an enhanced color channel, fusing the enhanced color channel with an enhanced brightness channel, and outputting an enhancement result. According to the method, detail reduction and color calibration of the underwater image can be effectively realized.

The invention provides a multi-scale polarization data fusion method based on a 4K polarization imaging detector, and relates to the technical field of image processing, and the method comprises the steps: carrying out the adaptive edge detection of four original polarization images, generating a comprehensive edge image, and carrying out the definition scoring; performing color calibration on each original polarization image based on the ambient light intensity and the color temperature, and outputting a polarization image after color calibration and a color deviation score; combining definition scores, color deviation scores and global brightness information entropies of the four polarization images after color calibration to construct a multi-objective optimization function, and solving the multi-objective optimization function in a multi-exposure parameter space to obtain an optimal exposure parameter combination; applying the optimal exposure parameter combination to image capture of the next period, and calculating global quality reward values of four newly collected polarization images; when the global quality reward value meets a preset condition, wavelet decomposition and frequency division multi-scale fusion are carried out on the polarization images after color correction, a fused image is generated, and the quality of the polarization images is effectively improved.

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 digital image processing and digital printing control, in particular to a digital printing color calibration method and system based on real-time image processing, and the method comprises the steps: constructing a fabric surface feature point coordinate set through a mixed feature tracking technology; calculating and predicting a target deformation field of the fabric at the printing position by applying a self-adaptive time domain prediction algorithm; and performing dynamic pixel interpolation on the original digital image by combining the target deformation field and the fabric texture feature map analyzed in real time to generate final printing image data. According to the invention, by combining high-robustness tracking, high-precision adaptive prediction and high-fidelity image generation technologies, the geometric precision and visual quality of printed products are significantly improved.

The invention relates to the technical field of LED display, and discloses an LED display color calibration method, device and system. The method comprises the following steps: applying a reverse test voltage to LED pixels in an LED display panel in a display frame blanking period, and calculating a real-time junction temperature value and a service life state value of each LED pixel; discrete phase coding reconstruction is carried out on the original display driving signal to obtain a temperature self-adaptive driving compensation signal; a temperature-sensitive fluorescent composite material layer is arranged on a substrate layer of an LED display panel, and the temperature-sensitive fluorescent composite material layer is activated through blue light components emitted by LED pixels to obtain an optical passive compensation spectrum; dividing the LED display panel into a plurality of independent control areas and generating an inter-area cooperative compensation parameter set; and constructing a pixel-level point diffusion compensation function and performing spatial domain dynamic compensation to obtain an LED display output image after color calibration. According to the invention, the problem of non-uniform area caused by manufacturing batch difference of a large-size display screen is effectively solved.

The invention discloses a beer sealing cover defect identification method based on image intelligent identification, and relates to the field of image identification, and the method comprises the steps: extracting the brightness distribution, color histogram and edge gradient features of a picture shot by a camera; constructing a precise light type calculation model, and dynamically adjusting brightness transition curves of adjacent partitions; identifying a high-contrast edge in the picture, and dynamically adjusting a brightness decay curve of adjacent partitions according to an edge brightness difference; color calibration is carried out through a three-dimensional color lookup table; and performing defect identification on an actual sealing cover image by using a dual mechanism. The light rays of the light source emitter are regulated and controlled, so that under the contrast condition, a machine and human eyes are easy to identify, the halo diffusion radius is reduced, and color calibration is carried out through the three-dimensional color lookup table, so that the machine and the human eyes are prevented from being influenced by images during identification, and the overall identification accuracy is ensured.

A color checker device is disclosed. The color checker device includes a substrate configured to be inserted into a model eye and to conform to a surface curvature of the model eye when inserted therein. A color test target is located on the substrate. The color test target comprises a plurality of color sections configured for generating a color characterization profile of a fundus imaging camera configured to capture a color image of a human retina. A method of generating a color characterization profile using the color checker device and a fundus imaging system having the color characterization profile stored thereon are also disclosed.

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 invention discloses a target tracking method and device based on a rolling and pitching type holder, and the method comprises the steps: building a polynomial response model through adaptive color calibration, and achieving the dynamic color correction; an improved YOLOv8 model is combined with a bidirectional feature pyramid network to carry out multi-scale target detection, and template matching is assisted to improve a low-confidence-coefficient scene recognition rate; predicting the position and the speed of the target by using Kalman filtering to cope with a shielding condition; and high-precision smooth rotation of the holder is realized through quaternion attitude solution in combination with PID (Proportion Integration Differentiation) and FOC (Fiber Operating Control) double-loop cooperative control. The device adopts a rolling and pitching type holder structure and comprises a main controller, an angle sensor, a visual sensor and a magnetic encoder, the mechanical structure is simplified, the weight is reduced, and higher response speed and higher control precision are achieved. The target tracking accuracy, stability and anti-interference capability of the intelligent mobile platform in a complex environment are remarkably improved, and the method is suitable for various dynamic scenes such as aerial photography and industrial inspection.

A system and method for producing color calibrated videos using a calibration slate are provided. A video of a subject is recorded with a calibration slate appearing in at least one frame of the video. The calibration slate includes printed colors that can be compared against standard colors associated with the slate to color calibrate the video. Once at least one frame of the video has been color calibrated, calibrated colors of the calibrated frame may then be utilized for color calibration of additional frames of the video.

The invention provides a color calibration processing method and electronic equipment. The method comprises the following steps: acquiring primary color information of light-emitting equipment; determining the theoretical brightness of each channel corresponding to the target color; determining the current duty ratio of each channel under the current junction temperature according to the current junction temperature, the reference junction temperature brightness of each channel and the theoretical brightness of each channel corresponding to the target color, and obtaining a color mixing output result; determining new reference junction temperature brightness of each channel and junction temperature offset of each channel; obtaining a new maximum brightness and a new current duty ratio of each channel under the current junction temperature, and lightening the light-emitting device again based on each new current duty ratio to obtain a new color mixing output result; and if the new color mixing output result meets the preset error range, taking the junction temperature offset of each channel as the calibration junction temperature offset of each channel of the light-emitting equipment, and taking the new reference junction temperature brightness of each channel as the calibration reference junction temperature brightness of each channel. And the color mixing precision of the light-emitting equipment in the whole working temperature range is improved.

An electronic device including a projection part; a user interface; an illumination sensor; and at least one processor configured to identify whether an external light exists around the electronic device based on an illumination value sensed by the illumination sensor, control the projection part to project an image including a plurality of color patches on a projection surface, perform color calibration of an output image based on whether an external light exists around the electronic device and a color of a color patch among the plurality of color patches selected through the user interface, and control the projection part to project the output image for which the color calibration has been performed.

The embodiment of the invention discloses a correction parameter determination method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of color calibration, and the method comprises the steps: obtaining a brightness value corresponding to a first gray scale in a to-be-tested sample and a color coordinate corresponding to a reference RGB combination, and the reference RGB combination represents a to-be-corrected color; determining color coordinates corresponding to a plurality of RGB combinations based on the brightness value corresponding to the first gray scale and the color coordinates corresponding to the reference RGB combination; and under the condition that the difference between the color coordinate corresponding to any RGB combination and the target color coordinate is smaller than a preset threshold value, taking the RGB parameter corresponding to any RGB combination as the correction parameter of the to-be-corrected color. Therefore, the finally corrected color is closer to the target color in the color space, the color deviation is reduced, more real and accurate color experience is provided for a user, and the cost of color calibration is also reduced.

The invention discloses a vehicle-mounted display screen color calibration method and system based on ambient luminosity. The method comprises the following steps: acquiring ambient light characteristic data; performing filtering processing and dimension reduction processing on the environment light characteristic data, performing comparative analysis on the environment light characteristic data and a light characteristic database to obtain environment light classification and environment light characteristics, inputting the environment light classification and the environment light characteristics into a screen color parameter adjustment model, and outputting initial display parameters; environment light influence data is obtained through analysis according to the initial display parameters and the spectral distribution data, color parameters in the initial display parameters are corrected to obtain corrected display parameters, the corrected display parameters are applied to a screen display module, and adjusted screen display effect data are obtained; and comparing the screen display effect data with the visual consistency standard, and when the screen display effect data does not reach the visual consistency standard, re-correcting the color parameter to obtain a final display parameter, and applying the final display parameter to the screen display module. The method can improve the screen display effect.

The invention provides a digital pathological section color calibration method and device, and the method comprises the following steps: obtaining a standard color image and an image to be subjected to color correction, and extracting the feature points of the standard color image and the feature points of the image to be subjected to color correction, matching the standard color image and the image to be subjected to color correction based on the feature points to obtain a standard color matching image and a matching image to be subjected to color correction; performing histogram color correction on the matching image to be subjected to color correction by taking a standard color matching image as a reference to obtain a first color correction image, and performing CCM color correction on the first color correction image by taking the standard color matching image as the reference to obtain a second color correction image, and performing gamma correction on the color of the second color correction image by taking a standard color matching image as a reference to obtain a color correction completed image. According to the scheme, all pixel information of the target image is fully utilized, the color correction process is quantified to eliminate artificial errors, and the efficiency and accuracy of color correction of the digital pathological image can be remarkably improved.

The invention relates to the field of digital printing equipment, and discloses a multi-modal data fusion digital printing equipment color dynamic calibration system which comprises a data acquisition and preprocessing module, a tensor modeling and optimization module, a causal reasoning module, a feedback control module, a cross-equipment mapping module and a self-diagnosis module. The method comprises the following steps that multi-modal data of equipment and environment are collected in real time, intelligent analysis is carried out, and control parameters are dynamically adjusted, so that the problem that a traditional color management method lacks real-time feedback and dynamic adaptive capacity is solved, and the stability and accuracy of the color calibration process are ensured. According to the method, color, image, environment and equipment operation data are collected, a multi-modal tensor is constructed, sparse feature compression is carried out, color deviation reasoning and adjustment quantity generation are realized in combination with causal structure learning, and a self-diagnosis mechanism and closed-loop control are assisted, so that real-time monitoring of the equipment operation state and dynamic adjustment of the color state are realized.

The invention discloses a soil color exploration and identification system and method, belongs to the technical field of soil color identification, can effectively reduce the influence of ambient light on soil color discrimination through a standardized color correction board and software image processing, and performs hierarchical division on a soil color identification image along a vertical plane, thereby improving the accuracy of soil color identification. Pixel point color information of a plurality of independent soil layers is obtained, so that the color distribution uniformity of a single layer is judged, then the color distribution condition of the whole image is comprehensively analyzed to divide soil types, and different color recognition modes are selected according to the judged soil types to be compared with a colorimetric card digital image. Compared with a mode of directly extracting color information of an overall image and comparing a colorimetric card, hierarchical division is adopted, single-to-overall soil type judgment is carried out, and a proper recognition mode is selected according to a judgment result, so that the color recognition accuracy is effectively improved.

The invention relates to a 3D LUT color space correction method and system, a terminal and a storage medium. The method comprises the following steps: realizing EOTF correction and white point correction of a display based on a post-stage 1D LUT; checking whether the 1DLUT takes effect or not, if so, entering the next step, and otherwise, prompting; color correction of the display is realized based on the 3D LUT of the preceding stage; by adopting the mode and method provided by the invention, the advantages of the 1D LUT and the 3DLUT are integrated, the 3D LUT is adopted for accurate color correction in the preceding stage, and the 1D LUT is adopted for processing the EOTF curve in the later stage, so that the accuracy of color correction is ensured, the smooth EOTF curve can be obtained, and the problems encountered in the current industry are solved.

The invention discloses a flue-cured tobacco leaf state prediction method and system based on a space-time sequence algorithm, and relates to the technical field of tobacco production. The flue-cured tobacco leaf state prediction method based on the space-time sequence algorithm comprises the following steps: carrying out color calibration on a flue-cured tobacco leaf image by adopting black field calibration and white balance calibration; performing data set segmentation on the tobacco leaf image after color calibration according to a preset proportion, and performing data cleaning on the segmented data set to generate a baking image database; constructing a baking image data set with time sequence features based on the optimized baking image database; and utilizing a space-time sequence prediction algorithm. According to the invention, in the baking process, technicians need to continuously observe the form changes such as yellowing and water loss of tobacco leaves through an observation window, and dynamically control the operations such as temperature rise, temperature stabilization and moisture removal; the mode depends on subjective experience of visual perception of baking personnel, has relatively large subjectivity and limitation, and is difficult to ensure accuracy.

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 invention relates to the technical field of display screen correction, in particular to an LCD display screen color correction system and method, and the method comprises the steps: dividing an LCD display screen into a plurality of independent correction subareas, and obtaining the display parameters of each correction subarea; based on the difference between the display parameter of each correction partition and a preset standard value, constructing a correction partition color difference compensation matrix, and fitting a linear compensation coefficient of the RGB channel through a least square method; smoothing the compensation matrixes of the adjacent correction partitions by adopting a bilinear interpolation algorithm to generate a global compensation mapping table; and dynamically acquiring the temperature of each correction subarea through a temperature sensor network, correcting the compensation matrix based on a thermal expansion coefficient model of the liquid crystal material, updating the global compensation mapping table, and inputting the updated global compensation mapping table into a storage unit of a display screen driving chip to complete correction. The problem that an existing global correction method cannot meet the production requirement for an ultra-large LCD display screen is solved.

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 invention discloses a color register calibration method, a printing device, electronic equipment and a storage medium, and relates to the technical field of ink-jet printing.The color register calibration method comprises the steps that a printing file of a preset target printing image is obtained, and the target printing image comprises a target printing image obtaining area and a calibration sample page area; in the process of controlling the spray head module to perform image line-by-line printing on the printing paper in a second direction according to the printing file, obtaining an actual calibration identifier in a calibration sample page area corresponding to a target line through a visual identification module; determining an offset according to the actual calibration identifier, a preset reference initial point and a preset calibration identifier; according to the method and the device, the offset of the ink marks on the sample page is obtained by automatically identifying and calibrating the sample page area, and then the nozzle module is automatically and correspondingly adjusted, so that the automation of color register calibration is realized, the labor cost is saved, and the color register efficiency is improved.

A wound assessment method is provided. The wound assessment method includes receiving an image that includes an L-shaped color calibration card and a wound; performing an image preprocessing on the image, based on the L-shaped color calibration card, to obtain an adjusted image, where the image preprocessing includes a distortion correction and a color calibration; obtaining a wound image excluding the L-shaped color calibration card, based on the adjusted image, where the wound image includes a plurality of regions; and classifying each of the plurality of regions of the wound image into one of wound tissue types, to obtain a wound tissue type distribution of the wound, where the wound tissue types include a granulation tissue, a slough tissue, and an eschar tissue.

The invention discloses an embroidery positioning printing method based on machine vision, electronic equipment and a computer readable storage medium, and relates to the technical field of embroidery printing, basic data of a camera and a printer are obtained, the camera is connected to an upper computer, and if the camera is used for the first time, a calibration process is executed to complete starting point binding and distortion correction of the camera and the printer; selecting template mapping positioning or template deformation mapping positioning according to matched material characteristics, intercepting a printing area image as a template, and extracting feature points for positioning; positioning the logo image and the template map, and adjusting a local form into a logo template by using image processing software; finally, the logo template and material position information are transmitted into a program and mapped to a blank TIF image, the blank TIF image is transmitted into a printer to complete positioning printing after PRN processing, the steps of calibration parameter calculation, stretching and compression scale factor calculation, rotation angle adjustment and the like are involved, coordinate optimization, color calibration and anti-aliasing processing are further conducted on the mapped image, and accurate embroidery positioning printing can be achieved.

The invention relates to the technical field of image processing, in particular to a medical image display system based on color calibration, and the system comprises a calibration tensor generation module which generates a three-dimensional calibration input tensor; the closed-loop feedback calibration module is used for inputting the three-dimensional calibration input tensor into a pre-trained multi-modal adversarial compensation network and generating a pixel-level aging-environment coupling compensation coefficient matrix and a color gamut anchor point coordinate; and the compensation execution module is used for writing the compensated quantized color instruction set into a redundant driving unit of the display panel to realize cooperative offset of equipment aging and environmental interference. According to the method, the color rendition error in the high-resolution medical image can be effectively reduced, the color stability is improved, and the method is suitable for real reproduction of high-precision diagnosis scenes such as endoscope and CT pseudo-color images.

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.