22 results about "Colour look-up table" patented technology

The present application provides an image display method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring a color lookup table, the color lookup table being a mapping relationship, which is learned by a neural network model, between an original image and a target image, the brightness of the target image being lower than the brightness of the original image, and the difference value between the contrast of the target image and the contrast of the original image being smaller than a target threshold; and on the basis of the color lookup table, performing mapping processing on an image to be displayed, so as to obtain a displayed image. According to the method, the brightness of the displayed image is reduced, and the difference value between the contrast of the displayed image and the contrast of the image to be displayed is smaller than the target threshold; moreover, the brightness reduction of the displayed image reduces the power consumption, and the difference value between the contrast of the displayed image and the contrast of the image to be displayed is smaller than the target threshold, so that the quality of the displayed image is ensured, thereby realizing low-power-consumption and high-quality image display.

The invention discloses a chromatic aberration correction method based on computer visual feedback and a storage medium. The method comprises the following steps: traversing each standard color value; controlling each projector to project a pure color image generated according to the current standard color value, and simultaneously shooting the images projected by each projector through a camera; respectively calculating the imaging color difference between the reference projector and each projector to be adjusted according to the shot image; if the imaging color difference is smaller than the preset color difference threshold value, the latest output color value of the projector to be adjusted is used as a corrected color value corresponding to the current standard color value; otherwise, updating the output color value of the projector to be adjusted, and repeating the steps of projecting the image and calculating the imaging color difference; after traversal is completed, obtaining a color lookup table of each projector to be adjusted; and when the to-be-displayed color value needs to be displayed, controlling the reference projector to display the to-be-displayed color value, and controlling each to-be-adjusted projector to display a corresponding corrected color value of the to-be-displayed color value in the to-be-adjusted projector. According to the invention, chromatic aberration between projectors can be offset.

According to an embodiment of the disclosure, an electronic device includes a camera, a display, a memory, and at least one processor electrically connected to the display and the memory. The processor obtains an input selecting a first image, generates a color filter by comparing the first image with a second image having a different color pattern from the first image, obtains a third image, and generates a fourth image by applying the generated color filter to the third image. The processor derives a function and a coefficient of the function by comparing color values of pixels of the first image and the second image. The color filter can include the derived function, the coefficient of the function, and a color lookup table generated based on the derived function by comparing the first image and the second image. The processor stores the generated color filter in the memory and generates the fourth image by applying the stored color filter to the third image.

The application is applied to the field of image correction, and discloses a method, device, electronic equipment and medium for correcting microscope images. The method comprises the following steps: acquiring a to-be-corrected image photographed by a digital microscope under a preset scene. A three-dimensional color lookup table, a brightness correction function and a definition restoration coefficient corresponding to the digital microscope are acquired. The three-dimensional color lookup table, the brightness correction function and the definition restoration coefficient are acquired by referring to a reference image. The reference image is acquired by photographing a preset optical calibration piece under the preset scene by the digital microscope. The three-dimensional color lookup table, the brightness correction function and the definition restoration coefficient are used for respectively correcting the color, brightness and definition of the to-be-corrected image, so that a target image after correction is obtained. Thus, the to-be-corrected image can be automatically corrected in the color dimension, brightness dimension and definition dimension, the adaptability is high, and the correction effect of the microscope image is improved.

To mitigate some problems of pixel color mapping used in SLHDR type of HDR video decoding, we teach a high dynamic range video encoding circuit (300) configured to encode a high dynamic range image (IM HDR) having a first maximum pixel luminance (PB CI) with a second image (Im LWRDR) having a lower dynamic range and a corresponding lower second maximum pixel luminance (PB C2), the second image being functionally encoded as a luminance mapping function (400) for a decoder to apply to pixel luminances (Y PQ) of the high dynamic range image to obtain corresponding pixel luminances (PO) of the second image, the encoder comprising a data formatter (304) configured to output the high dynamic range image and metadata (MET) encoding the luminance mapping function (400) to a video communication medium (399), the functional encoding of the second image being further based on a color lookup table (CL(Y PQ)) encoding a multiplier constant (B) for all possible values of pixel luminances of the high dynamic range image, and the formatter being configured to output this color lookup table in the metadata, characterized in that the high dynamic range video encoding circuit comprises a gain determination circuit (302) configured to determine luminance gain values (G PQ) quantifying a ratio of output image luminances equal to a luminance position of a correct normalized luminance position divided by output luminances of luminances of pixels of the high dynamic range image, wherein the high dynamic range video encoding circuit comprises a color lookup table determination circuit (303) configured to determine the color lookup table (CL(Y PQ)) based on values of the luminance gain values for various luminances of pixels present in the high dynamic range image. Similarly, we teach how to embody the same principles in a SLHDR type of video decoder.

Embodiments of the present disclosure provide a method and an apparatus for processing a live streaming image frame, an electronic device, a computer-readable storage medium, a computer program product, and a computer program. The method includes: acquiring an image frame processing request; acquiring, according to the image frame processing request, a live streaming image frame corresponding to virtual reality live streaming content; determining an area to be processed in the live streaming image frame, and performing a first processing operation on the area to be processed, to obtain an image frame to be processed; performing, according to a first color lookup table corresponding to the live streaming image frame, a global second processing operation on the image frame to be processed, to obtain a processed target image frame; and displaying the target image frame.

The present application relates to virtual reality image processing technical field, disclose a kind of virtual reality ideological and political content adaptive generation method based on affective computing, comprising: user physiological signal is mapped as visual intervention weight coefficient;Preload reference and target color lookup table;In rasterization stage, the mask identification of information primitive is written to template buffer;In fragment shading stage, read template value, if matching mask identification, then weight is zero, otherwise keep weight;Based on weight, linear interpolation is performed on the sampling value of double lookup table, the present application realizes global atmosphere rendering and local information fidelity pixel-level decoupling by template buffer, solves the problem that key information is lost due to dynamic visual style reconstruction under constant computing power overhead.

The present disclosure provides a color enhancement method, device, equipment and storage medium, and relates to the technical field of image processing. The method comprises: acquiring a color index value corresponding to each pixel point in each dimension in a to-be-processed image; based on the color index value of each pixel point in each dimension, traversing a first preset color lookup table (LUT) associated with the dimension to obtain a target type of a memory color corresponding to the pixel point; according to the target type of the memory color and the corresponding color index value of each pixel point, traversing a second preset LUT to obtain a color adjustment amount corresponding to the pixel point; and based on the color adjustment amount corresponding to each pixel point, performing color adjustment on each pixel point to obtain a target image after color enhancement. Thus, when performing color enhancement on the to-be-processed image, through memory color enhancement, the target image can better meet the user's expectation of color, and the user experience is improved.

The invention discloses a screen white point calibration method and device, electronic equipment and a medium, and belongs to the technical field of electronics, and the method comprises the steps: obtaining a three-dimensional color lookup table (3D DLUT) to be looked up by measuring the spectral information of a color picture of an adjacent region of a preset white point; searching a target color value with the minimum color difference with the target calibration value of the white point to be calibrated from the 3D DLUT to be searched; under the condition that the color difference between the target color value and the target calibration value is smaller than a first preset threshold value, outputting the target color value as a calibrated target white point; under the condition that the color difference between the target color value and the target calibration value is greater than or equal to a first preset threshold value, reducing the step length, generating a new 3DLUT by taking the target color value as a center, and generating a target 3DLUT by performing interpolation on the new 3DLUT; and replacing the to-be-searched 3DLUT with the target 3DLUT, and returning to execute the step of searching the target color value with the minimum color difference with the target calibration value from the to-be-searched 3DLUT until the target color value with the color difference with the target calibration value smaller than the first preset threshold value is searched.

The invention relates to the technical field of virtual reality image processing, and discloses a virtual reality ideological and political content self-adaptive generation method based on emotion calculation, which comprises the following steps: mapping a user physiological signal into a visual intervention weight coefficient; preloading a reference color lookup table and a target color lookup table; writing a mask identifier of the information primitive into the template buffer area in a rasterization stage; reading a template numerical value in a fragment coloring stage, if the template numerical value is matched with a mask identifier, returning the weight to zero, otherwise, keeping the weight; according to the method, pixel-level decoupling of global atmosphere rendering and local information fidelity is achieved through the template buffer area, and the problem that key information is lost due to dynamic visual style reconstruction is solved under constant computing power overhead.

The invention provides an image processing method and device and a vehicle, which can be applied to the field of intelligent cabins. Acquiring an image and / or sensing data; according to the image and / or sensing data, determining a weight vector, N weights in the weight vector being in one-to-one correspondence with N LUTs in a color lookup table LUT group, N being an integer greater than 1; determining a target LUT according to the weight vector and N LUTs in the LUT group; according to the target LUT, processing the image to obtain a processed image; and controlling the display device to display the processed image. The method and the device can be applied to an intelligent automobile or an electric automobile, and are beneficial to improving the watching effect when a user watches an image.

The invention discloses an image processing method and device and electronic equipment, and belongs to the technical field of image processing.The method comprises the steps that according to a first color image, a scene label of the first color image and an original image, a dynamic color lookup table matched with a shooting scene of the first color image is determined; wherein the scene label is used for representing a semantic scene category of the first color image; and performing color conversion processing on the first color image based on the dynamic color lookup table to generate a second color image.

The invention discloses a screen color calibration method and device, electronic equipment and a medium, and belongs to the technical field of electronics, and the method comprises the steps: obtaining a first spectral tristimulus value XYZ value corresponding to a preset color picture obtained by measuring the preset color picture through a spectral measurement module, determining an RGB-XYZ relationship of the preset color picture according to the RGB value of the preset color picture and the first XYZ value; calibrating the initial XYZ value of the target white point according to the RGB-XYZ relationship to obtain a calibrated XYZ value of the target white point, and converting the calibrated XYZ value into an RGB color value; obtaining a second XYZ value obtained by measuring a target color picture through a color analysis module, wherein the target color picture is a color picture of the target color gamut or a color picture based on the RGB color value of the target white point; performing color adaptation conversion on the target color gamut according to the second XYZ value to obtain a target XYZ value set of the target white point under the RGB grid node set; and calibrating the color picture of the target color gamut according to the target XYZ value set to obtain a three-dimensional color lookup table (3DLUT) after calibration of the target color gamut.

The application belongs to the technical field of computer vision and image processing, and specifically discloses a video defogging method and system based on enhanced alignment, which comprises the following steps: color mapping is performed on multiple foggy images through a color lookup table to obtain multiple enhanced images; based on the enhanced image corresponding to the foggy target frame and the enhanced images corresponding to each foggy reference frame, spatiotemporal optical flow estimation is performed to obtain three-dimensional optical flow; based on the three-dimensional optical flow, image transformation is performed on the foggy reference frame to obtain an aligned frame; based on the aligned frame, the foggy target frame and the enhanced image corresponding to the foggy target frame, splicing and feature fusion are performed to obtain a defogged image corresponding to the foggy target frame. The application enhances the details of the foggy image, obtains more accurate alignment results, provides more interframe information with the accurate aligned frame, effectively helps the network to learn better defogging capability, improves the utilization capability of the deep neural network for interframe information, and achieves better video defogging effect.

The present disclosure provides a thermal energy effect rendering method, a thermal energy effect rendering device, a computer storage medium and an electronic device, and relates to the technical field of computer graphics. The thermal energy effect rendering method comprises the following steps: determining a first position of a virtual model to be rendered in a current game scene; finding first thermal energy data corresponding to the first position from a pre-constructed rendering texture map; wherein the rendering texture map comprises different positions in the current game scene and thermal energy data corresponding to each position; finding a target color value corresponding to the first thermal energy data from a pre-constructed color lookup table; wherein the color lookup table comprises different thermal energy data and color values corresponding to each thermal energy data; and rendering a thermal energy effect in the target virtual model based on the target color value to obtain a target virtual model corresponding to the virtual model to be rendered. The present disclosure can reduce the performance overhead of game picture rendering, thereby improving the smoothness of game running.

Some embodiments relate to techniques for efficiently generating a synthetic singleplex image. A multiplex image is accessed that includes red, green, and blue (RGB) pixel values representing a tissue section stained with two or more biomarkers. A color lookup table (cLUT) is accessed that maps RGB pixel values from the multiplex image to RGB pixel values of a synthetic singleplex image corresponding to a selected biomarker. For each pixel in the multiplex image, an index is determined based on its RGB value and retrieving from the cLUT a corresponding output RGB value. A synthetic singleplex image is generated by assigning, to each pixel location, the corresponding output RGB value retrieved from the cLUT.

The application provides an image processing method and device and a vehicle, which can be applied to the field of intelligent cockpits. Image and / or sensing data are acquired; a weight vector is determined according to the image and / or sensing data, N weights in the weight vector correspond to N LUTs in a color lookup table (LUT) group in a one-to-one manner, and N is an integer greater than 1; a target LUT is determined according to the weight vector and the N LUTs in the LUT group; the image is processed according to the target LUT to obtain a processed image; and a display device is controlled to display the processed image. The application can be applied to intelligent cars or electric cars, and helps to improve the viewing effect of a user when watching an image.

The invention is applied to the field of image correction, and discloses a method and device for correcting a microscope image, electronic equipment and a medium. The method comprises the following steps: acquiring a to-be-corrected image shot by the digital microscope in a preset scene; and obtaining a three-dimensional color lookup table, a brightness correction function and a definition repair coefficient corresponding to the digital microscope. Wherein the three-dimensional color lookup table, the brightness correction function and the definition restoration coefficient are obtained through the reference image; the reference image is obtained by shooting a preset optical calibration piece in a preset scene through the digital microscope. Performing color correction, brightness correction and definition correction on the to-be-corrected image by using the three-dimensional color lookup table, the brightness correction function and the definition restoration coefficient to obtain a corrected target image; therefore, multi-dimensional correction of the color dimension, the brightness dimension and the definition dimension can be automatically carried out on the to-be-corrected image, the adaptability is high, and the correction effect of the microscope image is improved.

The invention provides an image display method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a color lookup table, the color lookup table is a mapping relation between an original image and a target image learned through a neural network model, the brightness of the target image is lower than the brightness of the original image, and the color lookup table is a color lookup table between the original image and the target image; the difference value between the contrast ratio of the target image and the contrast ratio of the original image is smaller than a target threshold value; and according to the color lookup table, performing mapping processing on a to-be-displayed image to obtain a display image. Through the method, the brightness of the display image is reduced, the difference between the contrast of the display image and the contrast of the to-be-displayed image is smaller than the target threshold value, power consumption is reduced due to reduction of the brightness of the display image, and the difference between the contrast of the display image and the contrast of the to-be-displayed image is smaller than the target threshold value. Therefore, image display with low power consumption and high quality is realized.

Some embodiments relate to techniques for efficiently generating a synthetic singleplex image. A multiplex image is accessed that includes red, green, and blue (RGB) pixel values representing a tissue section stained with two or more biomarkers. A color lookup table (cLUT) is accessed that maps RGB pixel values from the multiplex image to RGB pixel values of a synthetic singleplex image corresponding to a selected biomarker. For each pixel in the multiplex image, an index is determined based on its RGB value and retrieving from the cLUT a corresponding output RGB value. A synthetic singleplex image is generated by assigning, to each pixel location, the corresponding output RGB value retrieved from the cLUT.

The invention relates to the technical field of image processing, and discloses a self-adaptive high-color-gradation linear color mapping method and system for a depth map and a medium, and the method comprises the steps: obtaining input depth map data; performing normalization processing on the original depth value of the depth map data, and mapping the original depth value to a unified standard interval; based on the normalized depth value distribution, adaptively dividing a plurality of depth intervals; and mapping the depth value of each pixel in the depth map to a corresponding color gradation in a pre-generated high-color-gradation color lookup table according to the depth interval to which the depth value belongs, so as to generate a color depth map. The depth values are normalized and interval division is performed in combination with depth distribution, so that the mapping range can be dynamically adjusted according to different scenes, and the adaptability and detail expressive force of the depth map in a complex environment are effectively improved.