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

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.

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 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 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 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.