57results about How to "Fix color distortion" patented technology

The invention discloses a gray scale voltage compensation method and a display device, belongs to the technical field of display, and provides a solution for the technical problem of color distortion in the prior art. The gray scale voltage compensation method comprises the following steps: Step 1, a target gray scale voltage which is to be output by a target sub pixel is acquired; Step 2, a compensation voltage of the target sub pixel is acquired according to a preset condition; and Step 3, the target gray scale voltage and the compensation voltage are superposed into an actual gray scale voltage, and the actual gray scale voltage is output to the target sub pixel. The gray scale voltage compensation method can be used in display devices like liquid crystal display televisions, liquid crystal displays, mobile phones and tablet computers.

The invention discloses an image color correcting method and device. The method comprises the steps that 1. images to be corrected are subjected to preprocessing; 2. a camera color correcting model is established, and a correcting coefficient is obtained; and 3. the obtained color correcting coefficient is used for carrying out color correcting on the preprocessed images to be corrected. The problem of camera original image color distortion can be solved, the quality of moon surface colored image data is improved, difference on color sensing of different human eyes under different lighting conditions is removed, the inherent colors of the objects on the surface of the moon can be correctly reflected, and colored images with the consistent visual sensing as human eyes are obtained.

The embodiment of the present invention discloses a method for processing an inputted high dynamic range image and a display device and relates to the technical field of the display. The method and the display device are used for solving the problems of loss of image details, reduced contrast, color distortion and the like caused by the display of an HDR image or a video signal on a medium according to a method of the prior art. The method comprises a step of searching a tone mapping contrast coefficient table in each scene for a brightness value of each pixel point to obtain a tone mapping contrast coefficient of each pixel point in each scene, a step of weighting the tone mapping contrast coefficient of a same pixel point in each scene, and a step of taking the weighted tone mapping contrast coefficient as a color compensation coefficient, carrying out color compensation on each pixel point, and carrying out output.

The invention discloses an underwater image enhancement method based on a foreground model. The method comprises the following steps that: improving a background light estimation method so as to effectively avoid the influences of underwater image overexposure, artificial light sources and the like; combining with the cognition of people for the underwater image, and utilizing a dark channel priori algorithm to remove background scattering and extract the foreground model; and combining with a white balance algorithm to put forward a color correction method suitable for the underwater image, and utilizing the attenuation characteristic of light in water to correct channel gains according to a relationship between channel attenuation coefficients so as to compensate color distortion caused by attenuation; and utilizing the channel gains to regulate a fogless image, and finally, obtaining the enhanced underwater image. By use of the method, the enhancement effect of an object part is clear and distinct, and a visual effect is better; image blurring is effectively removed, so that the definition of the enhanced underwater image is greatly improved, image details are better, the image enhancement of the background part is not affected on the basis of the color correction of the foreground model, the enhanced underwater image has more natural integral colors, and image brightness is within an acceptable range.

The embodiment of the invention discloses a method for processing input high dynamic range images and a display device, and relates to the technical field of display, so as to solve the problems of loss of image details, contrast reduction, color distortion due to displaying HDR images and video signals on a medium in the prior art. The method comprises the steps of respectively searching for a tone mapping table in each scene according to the brightness value of each pixel point, so as to obtain the tone mapping value of each pixel point brightness value in each scene; wherein the tone mapping table is preset according to the ratio of the tone mapping value interval corresponding to the first preset brightness interval in each scene to the total tone mapping value interval is larger thanthe ratio of the first preset brightness interval to the total brightness interval; each first preset brightness interval is not overlapped with each other and forms a total brightness interval; weighting the tone mapping values of the same brightness value under each scene so as to obtain a weighted brightness value; and carrying out color compensation corresponding to the weighted brightness value on the chromatic value of the same pixel point.

The invention discloses an optimal setting method for three primary colors of display equipment with a large color gamut. The method comprises the following steps: firstly, a certain number of sampling points of the three primary colors namely red, green and blue are selected in a CIE 1976UCS uniform chromaticity scale diagram to constitute imaginary color gamuts with different settings; through chromaticity characterization models built for the working states of the imaginary color gamuts, CIELAB color differences of three typical memory colors namely skin color, grass green and skyblue and CIELAB reference values thereof are calculated, so that the color preference index of each imaginary color gamut is obtained, therefore, the imaginary color gamut with the highest color preference index is selected, and the chromaticity coordinates of the three primary colors are used as optimal settings. According to the invention, the problems of color distortion when a television signal and a digital image based on small color gamut are transmitted to the display equipment with the large color gamut is solved, the operation is simple, visual evaluation is not required and the practicability is high.

The invention discloses a dark channel and image segmentation-based traffic image defogging method and system. The method comprises the steps of segmenting a foggy traffic image to obtain a close-shot region and a sky region of the foggy traffic image; taking an average intensity value of the foggy traffic image as an atmospheric light coefficient, and calculating atmospheric light transmissivity of a scene in combination with a dark channel of the foggy traffic image; and performing adaptive correction on the atmospheric light transmissivity of the sky region in the atmospheric light transmissivity of the scene, and obtaining a defogged traffic image in combination with the atmospheric light coefficient and a degradation model of the foggy traffic image. According to the method and the system, the traffic image is defogged by comprehensively adopting the image segmentation and dark channel methods, and the condition that the transmissivity of the sky region after defogging is relatively low or is a negative value is avoided through the adaptive correction, so that the effectiveness and universality are higher; and the average intensity value of the sky region of the foggy traffic image is taken as the atmospheric light coefficient, so that the rationality is higher. The method and the system can be widely applied to the field of image processing.

The invention discloses an automatic image data collecting system which comprises a sample transfer control system, an image collecting control system and an optical imaging system. The sample transfer control system is used for transferring samples to a preset position, resting the samples in the preset position and sending image collecting order; the image collecting control system is used for receiving the image collecting order from the sample transfer control system and controlling the image data of the sample collected by the optical imaging system; and the optical imaging system comprises a camera for collecting image data of the samples. The automatic image data collecting system uses the standardized light source system during the image data collecting process of gold, jewel, jade ornaments, automatically collects the image data and solves a series of problems such as low working efficiency, distortion of the received image data, the impossibility of direct usage of the collected images and the like when non-standardized light source is applied to the image collecting process of samples during the data collection of the existing product data base, image collection of the exhibited samples and the image data collection of samples such as jewelry, jade and other ornaments to be appraised.

The invention discloses a fabric image color calibration algorithm based on spectral reflectance reconstruction, relates to the field of fabric image color correction, and solves the problem that thereconstruction precision is affected by image acquisition color distortion in the existing method. The technical scheme includes: acquiring color training samples through collection; constructing a virtual imaging system, and calculating virtual system responses of all color training samples and corresponding spectral reflectance estimated values; performing color space conversion according to a color space conversion formula; adopting a defined spectrum reconstruction error evaluation function to determine a representative color training sample; obtaining a spectral response function of an actual imaging system according to the determined representative color training sample; and obtaining a corresponding reconstructed spectral reflectance through a Wiener estimation method, and obtaininga reconstructed RGB image through color space conversion. According to the fabric image color calibration algorithm based on spectral reflectance reconstruction, the quality of the fabric image is improved, and real yarn color information of the fabric image is obtained.

The invention discloses an adaptive processing method for smog sky and white area of an aerial photograph image of an unmanned aerial vehicle. The method comprises steps: a UAV aerial photograph fog image to be processed is obtained; then the dark channel image and gray scale image of the fog image are acquired; an atmospheric light value A of the image is calculated according to the dark channelimage; the dark channel image is used as a rough estimate value of the atmospheric dissipation function and an adaptive threshold ThrB capable of segmenting a close range from a sky or a white regionis obtained from the gray-scale image; then the modified atmospheric dissipation function is obtained by substituting the modified atmospheric dissipation function into the improved atmospheric dissipation function formula; then the improved atmospheric dissipation function is refined by bilateral filtering; and then the image transmittance t (x) is obtained according to the transmittance estimation formula; finally, the fogless image is restored according to the image degradation model.

The invention provides an LED display control method, an image splicing edge optimization method and an image splicing processing device. Specifically, through adoption of a boundary extension mode, boundary extension is carried out an image interception range, so image data intercepted from input image data comprises the image data of the other side of the imaging splicing edge; the corresponding boundary extension is carried out on a screen mapping window, so the scaling of an image is kept unchanged; and through combination of an original image optimization algorithm of a video processing chip, integrated image optimization is carried out on the intercepted image data. In this way, the video processing chip can optimize the image data out of own display screen load area, thereby solving the color distortion condition of the splicing edge and improving the quality of the image of which splicing edge is processed.

The invention provides a determination method and apparatus for an effective region of a signal lamp. The method comprises the steps of determining an initial region of the signal lamp by utilizing interface configuration information; acquiring N frames of video images in a monitoring screen, and obtaining a grayscale difference image of the initial region by utilizing grayscale values, in the initial region, of the N frames of video images; obtaining a template image of a specified number, and sliding the template image on the grayscale difference image to obtain an effective value between each region of the grayscale difference image and the template image; and determining the effective region of the signal lamp by utilizing the region with the highest effective value. Through the technical scheme, the effective region of the signal lamp can be accurately located, the reliability of signal lamp recovery is improved, reasonable recovery of an over-exposure region of the signal lamp is realized, the over-exposure problem of the signal lamp is effectively solved, and the color of the signal lamp meets an actual demand.

The invention provides a visual rivalry improving method of a complementary color three-dimensional image for improving color fidelity. The method comprises the steps of transforming symmetrical left view and right view of a three-dimensional image from an RGB color space to a CIE L*a*b* color space; then calculating the sensing area of a cyan lens in the CIE L*a*b* color space; matching and mapping the right view to the two-dimensional sensing area of the cyan lens, and calculating corresponding a* and b* values of each pixel in the matched and mapped right view; adjusting the brightness of the left view and the right view based on a chromatic value, and separately calculating a corresponding L* value of each pixel in the adjusted left view and right view; inversely transforming the processed left view and right view from the CIE L*a*b* color space to the RGB color space to synthesize a red and cyan complementary color three-dimensional image. The method can improve the color fidelity of the complementary color three-dimensional image on the premise of effectively reducing the visual fatigue in view of the three-dimensional image and obtaining more comfortable three-dimensional visual experience.

The embodiment of the invention discloses a photographing method and device, a storage medium and a mobile terminal. The photographing method comprises the steps of calculating the flicker frequency of a flicker light source in real time when it is monitored that there is a flicker light source in a photographing preview image; calculating and generating first target exposure time according to theflicker frequency; and performing image photographing based on the first target exposure time to obtain a target photographed image. By adopting the above technical scheme, the embodiment of the invention can reasonably determine the target exposure time according to the flicker frequency of the flicker light source and photograph a photographing subject containing the flicker light source basedon the target exposure time, thereby not only effectively solving a problem of brightness and color distortion, which is caused by the flicker of the flicker light source, of the photographed image, but also being capable of avoiding the spatial texture caused by the flicker light source in the photographed image, and being capable of effectively improving the quality of the photographed image.

The invention discloses an automobile data recorder intelligent camera automatic exposure method, which comprises the steps of acquiring functional indexes of target digital images of a current frame, a former frame and a former former frame respectively, and acquiring the exposure time, an analog gain value and a digital gain value and corresponding adjusting step lengths of the target digital image of the current frame; comparing fluctuation variance with a set threshold; and performing adjustment on the exposure time, the analog gain value and the digital gain value of the next frame. Exposure images with more appropriate brightness, definition and saturation can be acquired for most driving scenes.

The invention discloses a method and a system for displaying two-dimensional images on multi-view three-dimensional display equipment for naked eyes. The method includes steps of S1, acquiring an input two-dimensional image, processing the input two-dimensional image so that a resolution ratio of the processed input image is matched with a resolution ratio of a view image, and generating a left image and a right image according to the processed input image; S2, computing an h-phase according to a multi-view display format, and performing multi-phase resample for the left image and the right image according to depth-of-field setting and the h-phase to generate the view image; and S3, mapping and coding the view image according to the multi-view display format and generating and outputting a multi-view coded image. The method and the system have the advantages that problems of color distortion and marginal sawteeth which are caused when two-dimensional images are displayed by existing three-dimensional display equipment for naked eyes can be effectively solved, a three-dimensional effect is realized, and an effect of displaying the two-dimensional images on the multi-view three-dimensional display equipment for the naked eyes is improved obviously.

The invention discloses a single image defogging method based on sky region probability segmentation. According to the invention, the sky area of the foggy image can be effectively identified and segmented, and the visual effect of the defogged image is good. By summarizing and analyzing the sky area of the foggy image, a sky area recognition algorithm based on a probability model is provided, andthe sky area of the foggy image is effectively recognized and segmented; then different transmissivity is adopted for the sky area and the non-sky area respectively, namely, gain amplification basedon an improved tolerance mechanism is conducted on the transmissivity of the sky area, the problem that the transmissivity of the sky area is underestimated is solved, and then the problem of color distortion of the sky area of the defogged image is solved. Moreover, the transmissivity is optimized by introducing a global smooth filtering method, so that the blocking effect of a defogging result is reduced; and details and brightness of the image are adjusted by adopting a Fourier transform method and gamma correction, so that the visual effect of the defogged image is improved.

The invention provides an underwater image enhancement method based on selective color compensation and three-interval equalization, and belongs to the image processing field. In order to solve the problems of color distortion, low contrast, blurred details and the like of an underwater degraded image, the method comprises a mean value-based selective color compensation method and a three-interval-based equalization method, and the compensation method comprises the following steps: calculating color mean values of R, G and B three-channel images to judge which channel the color of which is better stored, and taking the color channel which is better stored as a color compensation reference benchmark of the other two color channels; according to the equalization method, R, G and B three-channel images are decomposed into three sub-intervals through a lower side quantile method, and different equalization operations are adopted for the sub-intervals; and finally, color correction and contrast enhancement of the underwater degraded image are realized.

The invention discloses an image defogging method based on an improved dynamic atmospheric scattering coefficient function, and the method comprises the steps: solving a minimum channel image throughemploying R, G and B color channels of an original image, and calculating an atmospheric light value A of a foggy day image through a quadtree segmentation method; calculating the depth of field d (x)of the image by using a nonlinear color attenuation prior model, and filtering noise information in the depth of field d (x) of the image through minimum filtering, smooth filtering and guided filtering to obtain the final depth of field dr (x) of the image; and finally, in combination with the improved dynamic atmospheric scattering coefficient function beta (x) and the image depth of field dr (x) obtained through final processing, calculating atmospheric transmissivity t (x), and recovering a fog-free image through an atmospheric scattering model. The method not only can solve the problem of inaccurate transmissivity estimation caused by constant atmospheric scattering coefficient, but also can effectively solve the phenomenon of color distortion of the sky area of the image, so that the defogging effect of the image is clearer and more thorough, and the color of the scenery is more natural and real.

The invention provides an image processing method and electronic equipment, which are used for solving the problem that the quality of a low-illumination image cannot be improved through hardware in the prior art. The method comprises the following steps: acquiring two color images of the same target scene, wherein the exposure durations of the two color images are different; taking a color component statistical histogram of the color image obtained by relatively long exposure duration as reference information; adjusting the statistical histogram of each color component of the color image withshort exposure duration, so as to enable the adjusted short-exposure color image and the fully-exposed color image to have similar hue and brightness. The original texture can be maintained, and theeffect of low-illumination image enhancement is achieved.

The invention provides a signal lamp image processing method. When processing images acquired by a camera in the whole day time, the signal lamp image processing method comprises the steps of dividing the images according to average brightness thereof firstly, then processing the images by using different methods. When an average brightness value of the images is less than a brightness threshold value A, an image processing method with the minimum interval of brightness values is used for processing the images. When the average brightness value of the images is greater than the brightness threshold value A and less than a brightness threshold value B, and B is greater than A, an image processing method with a smaller interval of brightness values is used for processing the images. When the average brightness value of the images is greater than the brightness threshold value B, an image processing method of daytime is used for processing the images. The signal lamp image processing method can solve the problems of halo caused by overexposure of a signal lamp and color distortion caused by overexposure of the signal lamp or insufficient light.

The invention requests to protect a multi-modal medical image fusion method based on guided filtering and graph theory significance, which is mainly used for fusing a multi-modal medical image and comprises the following steps: S1, obtaining a smooth sub-band image and a detail sub-band image of a to-be-fused image; S2, constructing a fusion rule recombination smoothing sub-band coefficient and adetail sub-band coefficient by using a graph theory saliency method; and S3, reconstructing the fused smooth sub-band coefficient and detail sub-band coefficient to obtain a fused image. The decomposition method based on the guide filtering algorithm is low in time complexity, guarantees image fusion, can effectively reduce noise interference in the decomposition process, and improves the robustness of the method. And meanwhile, the brightness, color and direction characteristics of the smooth sub-band image are extracted by utilizing a saliency method of the graph theory, so that the brightness information of the gray level image and the color information of the pseudo-color image can be reserved, the problems of brightness information loss and color distortion of the fused image in otherfusion methods are effectively solved, and the quality of the fused image is ensured.

The embodiment of the invention discloses a parameter determination method. The method comprises the steps that the first white balance parameter of a first sub-image and the second white balance parameter of a second sub-image are acquired; the proportion value of the first sub-image in an image to be processed is determined so as to obtain a first proportion value; the first weight of the firstwhite balance parameter and the second weight of the second white balance parameter are determined based on the first proportion value; and the target white balance parameter is obtained based on thefirst weight, the first white balance parameter, the second weight and the second white balance parameter. The embodiment of the invention also discloses a terminal and a computer readable storage medium so that white balance processing can be performed based on the respective weight of the face color information and the background color information, and the mutual influence between the face colorinformation and the background color information in the image in case of white balance processing can be reduced.

The invention discloses a liquid crystal display device. The substrate of the liquid crystal display device has a plurality of first pixel regions, a plurality of second pixel regions and a plurality of third pixel regions. In addition, a plurality of first insulating films, a plurality of second insulating films and a plurality of third insulating films are disposed on the substrate of the liquid crystal display device respectively in the first pixel area, the second pixel area and the third pixel area. Wherein, the dielectric constant of the first insulating film is greater than that of the second insulating film, and the dielectric constant of the second insulating film is greater than that of the third insulating film. In the liquid crystal display device of the present invention, light rays of different wavelengths pass through pixel regions with different dielectric constants to obtain relatively consistent transmittance, so as to solve the problem of color distortion caused by different transmittances of light rays of different wavelengths.

The invention discloses an underwater image enhancement method combining multi-channel equalization and multi-scale fusion, and belongs to the field of underwater image enhancement, and the underwater image enhancement method combining multi-channel equalization and multi-scale fusion is realized by the following steps: step 1, performing multi-scale image enhancement; compensating the red channel by using the green channel and secondarily reinforcing the red channel through the mean value of the regional red channel; step 2, using a self-adaptive platform histogram to extend the gray scale range of the R, G and B three channels in a balanced manner and redistributing gray scale values; and step 3, carrying out multi-scale fusion on the brightness V (Value) components processed by the gamma algorithm, the GUM algorithm and the CLAHE algorithm. The method solves the problem of low definition of the underwater degraded image, improves color distortion, improves image contrast and brightness, has obvious enhancement effects on different scenes, and has good generalization adaptability.

The invention discloses an image fusion method and device, equipment and a medium, which are used for solving the problems of color distortion and color cast during image fusion in the prior art. In the embodiment of the invention, the adjustment R value of the infrared image is determined according to the RGB value of the acquired infrared image and the RGB value of the color image, therefore, the influence of the color domain on image fusion is effectively considered, and the phenomena of color distortion and color cast occurring during image fusion are effectively solved.

The invention provides a photovoltaic cell color difference classification method based on color segmentation. The method comprises the steps of acquiring an original image of the photovoltaic cell panel, inputting the original image into a key point detection network to detect key points of the photovoltaic cell panel, and outputting a key point thermodynamic diagram and key point coordinates; connecting the key points in sequence to obtain a photovoltaic cell panel area image, and carrying out projection transformation on the photovoltaic cell panel area image to obtain a photovoltaic cell panel orthophoto image ImageA; detecting impurities in ImageA through an impurity detection network, converting the impurities into white and outputting ImageB; setting a plurality of reference colors,classifying pixels based on the reference colors and KDTree nearest neighbor search, outputting a color classification image ImageC, and segmenting the color classification image ImageC into a plurality of photovoltaic cell panel grid region images according to a certain proportion; and counting the proportion K of all reference color pixels in the total pixel number in each grid region image, and judging whether the photovoltaic cell panel grid region has color difference.

The invention belongs to the field of ocean engineering, and particularly relates to an underwater image enhancement method based on unsupervised color correction. According to the method, the limitation that the channel B is used as a protruding channel is improved, so that the color distortion problem of processing the non-blue-color-cast underwater image is effectively solved; The method comprises an RGB color model, a contrast correction method, an HIS color model and an underwater image enhancement method based on unsupervised color correction. Compared with a common underwater image enhancement method, the underwater image enhancement method has the advantages that the underwater image enhancement method is improved into a self-adaptive method and has good processing effects on different color cast; The image is effectively balanced, color cast is eliminated, the illumination is improved, and the true color is increased. The method is easy to implement, small in calculated amountand high in reliability, the feasibility of underwater optical image recognition is improved, and the method has positive significance for development of unmanned underwater vehicles in the aspects of underwater operation tasks and the like in the future.

The invention provides a color reduction method and device, and the method comprises the steps: collecting N video images in a monitoring frame; selecting the video image with a signal lamp being in a specific state from the N video images, wherein the specific state is a state that the color of the signal lamp meets the display requirements in a signal lamp switching process; and carrying out the signal lamp color reduction of a specific video image through the video image in the specified state. According to the technical scheme of the invention, the method can correct a specific video image (a video image with the overexposure phenomenon of the signal lamp), achieves the reasonable reduction of an overexposure region of the signal lamp, effectively solves an overexposure problem of the signal lamp, enables the color of the signal lamp to accord with the actual demands in a better way, solves a problem that the overexposure causes the color distortion of the signal lamp and the distortion of contour, inhibits the distortion of the signal lamp and the diffusion of halo, can improve the authenticity and reliability of an evidence violation map, and meets the demands of an evidence map of an intelligent traffic solution.

The invention provides a material appearance state display method and system, and the method comprises the steps: creating a texture library which can be called by analog simulation software and is used for representing a material in different phase states, and the texture library is used for representing the appearance and texture features of a geometric model and the material in real time when the geometric model and the material are subjected to local large deformation and caving damage under the action of a strong load; and the actual effect of the simulation working condition is dynamically displayed. The invention further provides a method for judging the phase change and completing real-time updating of the appearance texture of the material, in the calculation iteration process, the distribution of the material phase is judged by extracting the pressure and temperature values of the grid units in the calculation process and combining the phase change temperature and pressure values, and the texture map switching in the material phase change process is achieved according to the judgment result. Therefore, the states and the evolutionary process conditions of the model and the environment under the working conditions of high-speed collision, impact penetration, explosion and the like are truly and graphically shown.