111results about How to "Reduce color distortion" patented technology

Improved fluoresced imaging (FI) and other sensor data imaging processes, devices, and systems are provided to enhance display of different secondary types of images and reflected light images together. Reflected light images are converted to a larger color space in a manner that preserves the color information of the reflected light image. FI or secondary images are transformed to a color range within the larger color space, but outside the color area of the reflected light images, allowing the FI or secondary images to be combined with them in a manner with improved distinguishability of color. Hardware designs are provide to enable real-time processing of image streams from medical scopes. The combined images are encoded for an electronic display capable of displaying the larger color space.

A film suitable for use in an ophthalmic system is provided. The film may selectively inhibit blue light within the wavelength range of 400 nm to 460 nm to reduce phototoxic light to the eye while maintaining photopic vision, and may be color balanced to allow for the system into which the film is incorporated to be perceived as colorless to a viewer observing and/or using the system. The system may have a photopic and scotopic luminous transmission of 85% or more and a phototoxicity ratio of less than 80%. When used in an ophthalmic system or other system disposed between an observer's eye and a light source, the film may reduce the flux of blue light to the internal structures of the eye while reducing or minimizing dilation of the pupil.

The invention discloses a liquid crystal display panel and an array substrate thereof. The array substrate of the liquid crystal display panel at least comprises a plurality of first scanning lines, a plurality of second scanning lines, a plurality of data lines and a plurality of pixel units, wherein the pixel units are parallelly arranged, the pixel electrodes of the pixel units are at least separated into a first sub-electrode, a second sub-electrode and a third sub-electrode, and preset voltage difference existing when the first sub-electrode and the second sub-electrode display a voltage signal of a same image under a 3D display mode is controlled. In the invention, according to the mode, the problem of signal crosstalk of the liquid crystal display panel can be solved under the 3D display mode, thereby improving the color difference of a large viewing angle to a certain degree and reducing the color distortion.

The invention discloses a method for RGBW-type four-primary-color display gray scale combination conversion. The method comprises the steps: based on the color gamut matching principle, through the rational colorimetry model, calculating the color gamut of the original RGB three-primary-color display in the L*a*b space as the source color gamut, and using the color gamut of the RGBW four-primary-color display in the L*a*b space as the target color gamut; and mapping the source color gamut to the target color gamut one to one by using the rational color gamut matching algorithm, and then performing the color gamut space conversion, and finally realizing the matching conversion from RGB to RGBW gray scale combination. Compared with the traditional RGBW conversion algorithm, the scheme is capable of strictly calculating tristimulus values of each gray scale combination and converting to the L*a*b space, using the color reappearance ability of RGBW in the greatest degree through the color gamut matching, guaranteeing that the hue angle is not changed before and after the conversion in the conversion processes, and reducing the color distortion.

The invention relates to a green component and color difference space-based Bayer format color interpolation method. Two main errors which are jaggies and pseudo colors respectively exist in the conventional color interpolation methods. In the method, in a full-color image recovery process, color recovery is realized by adopting a combined way of interpolating green components, red components and blue components in steps; and the method comprises the reconstruction of the full-resolution green components G, the calculation of pixel point color differences R-G or B-G comprising the red or blue components, the reconstruction of full-resolution color difference images R-G and B-G, and the recovery of the red components R and the blue components B by the addition of the reconstructed full-resolution green components and the reconstructed color difference images. The method of the invention has the advantages of effectively solving the problem that the images have blurry edges and unsharp detail textures, reducing the color distortion of the images, preventing color mutation and improving color smoothness.

The invention discloses an improved bilinear Bayer format color interpolation method. The conventional method is large in calculation amount for chromatic aberration, high in complexity and long in delay, and the imaging speed of a digital camera is remarkably influenced. In a full-color image reconstruction process, color recovery is realized in a combination way of stepwise interpolating a green component and red and blue components. The method comprises the following steps of: strictly distinguishing an image edge by utilizing the spatial correlation of an image, and reconstructing the green component under full resolution; and reconstructing the red and blue components under the full resolution by using an improved bilinear interpolation algorithm and the correction and compensation of a recovered green component. Compared with the conventional interpolation algorithm, the method has the advantages that the peak signal to noise ratio of a recovered full-color image color signal is high, and an ideal interpolated image effect can be achieved under the condition of no increase of computational complexity of the algorithm.

The invention relates to a contourlet transformation-adaptive medical image fusion method based on non-sampling and belongs to the field of image processing. The method comprises the steps that firstly, a source image is subjected to arithmetic average filtering and then is decomposed through an orthogonal 9-7 wavelet filter and a pkva filter during non-sampling to obtain low-frequency sub-band coefficients and all band-pass direction sub-band coefficients; secondly, the low-frequency sub-band coefficients are selected and fused according to the edge information maximum criterion, all the band-pass sub-band coefficients are selected and fused through an adaptive PCNN model based on a visual neuron model; lastly, a final fused image is obtained by means of inverse transformation of NSCT. According to the contourlet transformation-adaptive medical image fusion method based on non-sampling, the algorithm is very effective and correct, the edge and space texture information of the fused image is clear, color distortion is low, the false contour phenomenon does not exist, and feature information of the source image is well reserved.

The invention discloses a color gamut adjusting method and a color gamut adjusting system of a display device. The color gamut adjusting method of the display device comprises the following steps that a data processing device acquires the chroma and luminance information of the display device; the data processing device generates a search table corresponding to various color gamut modes according to the chroma and luminance information of the display device, and a mapping relation table of the various color gamut modes and various application scenes; the display device acquires the application scene selected by a user; the display device calls the search table corresponding to the color gamut mode matched with the application scene selected by the user in the data processing device, and converts the input image data into target output image data. According to the method and the system, the corresponding color gamut mode can be flexibly selected according to the application scene selected by a user, thus the display of the display device for the optimal color gamut mode under the application scene is realized, and the color distortion during image display is reduced.

The invention discloses an image enhancement method in a low-illumination environment. The grayscale values of pixel points in an original low-illumination image concentrated in a relatively narrow low-brightness range are adjusted to be balanced according to a histogram balance principle of the grayscale values of the pixel points in the low-illumination image by adopting an improved image enhancement algorithm based on grayscale-level movement and pixel point grayscale value correction, and the low-illumination image is moved to a relatively high-brightness range. According to a Retinex theory, an irradiation light component of the image subjected to the grayscale value adjustment is filtered out, and a reflected light component is reserved; a real light and shade relationship between the pixel points in the image is found according to a relative light and shade relationship of the grayscale values in the reflected light component; and linear stretching is performed to obtain final adjusted grayscale values of the pixel points of the image. According to the method, the brightness and contrast of the low-illumination image are improved to a certain extent, color enhancement can be realized to a certain extent, local details in the low-illumination image are highlighted, and the intuitive visual quality of the low-illumination image is remarkably improved.

The invention discloses a gray level image colorizing method, and belongs to the technical field of digital image processing. Directing at the problem that in an existing image colorizing method based on YUV joint correlation, colors of an edge region are mixed and distorted, the existing image colorizing method is improved. The gray level image colorizing method comprises the steps that firstly, the similarity degree of spatial position information and brightness information is considered comprehensively and used, and a plurality of extremely similar pixels are searched out from a larger window region with a pixel to be colorized as the center; secondarily, the post-normalization local brightness weighting coefficients of the extremely similar pixels are calculated; then a chromaticity-coefficient constraint matrix equation formed by chromaticity of all the pixels and the local brightness coefficients of all the pixels is solved to obtain the chromaticity of the pixel to be colorized; at last, an image is converted from a YUV space to a RGB space to obtained a colorized image. The invention further discloses a gray level image colorizing device using the method. The gray level image colorizing method and device can reduce color mixing and distortion of the edge region of the image, and improve the subjective and objective quality of the colorized image.

The present invention provides a liquid crystal display panel and liquid crystal display device. In liquid crystal display panel, each pixel unit in the first substrate includes first pixel electrode and second pixel electrode. Charging scan line and data line drive first and second pixel electrodes to display through first switch and second switch. Third switch is connected to discharging scan line. Input terminal of third switch is connected to first or second pixel electrode; output terminal of third switch is connected to discharging circuit. Second substrate includes first common electrode and second common electrode. First common electrode corresponds to first pixel electrode and provides first common voltage. Second common electrode corresponds to second pixel electrode and provides second common voltage. As such, the present invention can further improve the low color shift at large viewing angle and effectively reduce the image retention problem.

The invention discloses an object and scene fusion method based on IHS (Intensity, Hue, Saturation) transform. The method comprises the following steps: firstly using the IHS transform and the intensity fusion to form a light mask of an image; and then achieving the aim of the fusion of the object and the scene by recovering object details in the light mask. The invention provides three schemes by respectively using a standard IHS transform technology, an SFIM (Smoothing Filter-based Intensity Modulation) technology and a wavelet technology as an intensity fusion tool. In the method, a to-be-fused image is free from rectification, less fusion conditions are needed, the method can be realized easily, the fusion of the object and the scene can be realized by only considering the intensity fusion; the method has fast fusion speed and great potential in the video processing, and can be used for maximally reducing the color distortion generated in fusion process; and meanwhile, the method has wider use since different intensity fusion algorithms can be implanted to form different fusion schemes.

A saturation adjustment method is disclosed for compensating over-saturation adjustment. The saturation adjustment method includes: adjusting a first full-scale saturation corresponding to a hue of a color wheel to become a second full-scale saturation wherein the second full-scale saturation is greater than the first full-scale saturation; setting a critical saturation corresponding to the hue based on the first and second full-scale saturations; and adjusting a first saturation within a range between the critical and second full-scale saturations corresponding to the hue to become a second saturation based on the first full-scale, second full-scale and critical saturations. Furthermore, disclosed is a color adjustment system essentially including a saturation adjuster for adjusting the first saturation greater than the critical full-scale saturation to become the second saturation based on an adjusted full-scale saturation and the critical saturation.

The invention provides a tongue image environment adaptive color reproduction method of traditional Chinese medicine and belongs to the field of medical image processing. The method comprises the steps of at first, shooting a special color plate image under the same image collection condition and measuring standard colorimetric values of color lumps in the special color plate by colorimeter; establishing a collection process color characterization model through color plate image data in a computer to realize conversion between equipment color space and standard chroma space; and then calculating displayed image chroma tristimulus values by a visual adaption model according to measured obtained image collection environment and displayed environmental parameter which is determined through combination with a background adaption parameter determined by tongue image structure prior knowledge. The method is similar to collection process characterization in that through display of a group of color lump on a displayer and measurement of standard chroma value of displayed color lump, establishment of the collection process color characterization model, and calculation of the display drive value corresponding to chroma tristimulus value. With the tongue image environment adaptive color reproduction method of traditional Chinese medicine , adaptive true color reproduction of tongue images is finally achieved.

A method of k*k subsampling, where k is an integer greater than one, a full frame readout on a plurality of pixels arranged in rows and columns, each pixel belonging to one of at least two sets, a first set configured to sense a first value of an image parameter and a second set configured to sense a second value of the image parameter, the method including sampling signals of k pixels of at least one set in a first row to output subsampled signals, converting the subsampled signals into digital signals having a lower resolution than the full frame readout, repeating sampling and converting for k rows, and adding digital signals for the first to kth rows within the at least one set.

The invention discloses a colour gamut mapping method, a display terminal, and a computer readable storage medium. The colour gamut mapping method comprises: a to-be-sent image signal pixel value of a source terminal and a to-be-outputted image signal pixel value of a display terminal are obtained respectively; according to a preset algorithm, a mapping relationship between the to-be-sent image signal pixel value of the source terminal and the to-be-outputted image signal pixel value of the display terminal is established; and on the basis of the mapping relationship, a to-be-displayed image signal pixel value of the display terminal is obtained and the obtained to-be-displayed image signal pixel value is transformed into an image signal for displaying by the display terminal. Therefore, a technical problem that the display effect of the display device is affected because of distortion of the hue of the display color gamut can be solved.

The invention discloses a fundus image enhancement method based on a generative adversarial network. The fundus image enhancement method comprises the steps of selecting training data and test data, data preprocessing including cutting, zooming, rotating and normalizing processing of the image, constructing a convolution layer, a residual module group and a deconvolution layer as an image generator, inputting the preprocessed color fundus image, and outputting a corresponding high-quality fundus image, constructing a full convolutional neural network as a discriminator, inputting the generatedfundus image and a real fundus image, and outputting the probability that the generated image is judged as a real image, the task of the generator being to generate a real image as much as possible,the task of the discriminator being to discriminate authenticity from the generated image as much as possible, and the two tasks being alternately trained until a satisfactory generation result is achieved. The fundus image generated by using the generative adversarial network is clear in structure and fidelity in color, and a good fundus image quality enhancement effect can be achieved.

The invention discloses a method and a device for generating a mechanical arm sampling environment simulation diagram. The method comprises the steps of determining the position and the attitude of a mechanical arm camera in the sampling process; determining three-dimensional position coordinates of three-dimensional point coordinates of a three-dimensional scene topographic map in a camera coordinate system according to a relative position and attitude relation between the mechanical arm camera and the three-dimensional scene topographic map; determining two-dimensional coordinates of imaging points, which are projected to a two-dimensional plane, of the three-dimensional position coordinates according to a perspective projection relation; determining valid imaging points according to a shielding relation of the imaging points, and storing the valid imaging points into a grid matrix storage queue; and determining a color value of each valid imaging point, storing the color values into the grid matrix storage queue, and generating a simulation diagram according to the grid matrix storage queue. According to the method, the valid imaging points can be determined quickly according to the shielding relation, a mode of carrying out storage by adopting the grid matrix storage queue is adopted at the same time, image points of the simulation diagram can be calculated quickly, and the speed is higher.

The present invention provides a liquid crystal display panel and array substrate thereof. The array substrate includes at least a plurality of first scan lines, second scan lines, data lines and a plurality of pixel units arranged in a matrix form; pixel electrodes of pixel unit being divided into at least first sub electrode, second sub electrode and third sub electrode, and controlling first sub electrode and second sub electrode to have a default voltage difference when displaying voltage signal of a same image in 3D display mode. As such, the present invention can reduce signal crosstalk problem in 3D display mode, improve color difference in large view angle condition and reduce color distortion.

The invention provides a leaf image color correction method and device monitoring grow of seedlings. The leaf image color correction method comprises steps of obtaining a first RGB color value of an image color after standard color correction at a preset moment, wherein the preset moment is a shooting moment when an image color distortion degree of a corrected standard color image is minimal, obtaining a second RGB color value of the image color after standard color correction at any moment, obtaining a correction coefficient according to a first RGB color value and a second RGB color value and performing correction on a color of a seedling leaf image of any moment according to the correction coefficient. The leaf image color correction method and device monitoring the growth of the seedling can perform correction on the colors of the images of the seedling leaves photographed at different moments so as to maintain the colors of the images of the seedling leaves which are photographedin different moments a same degree and keep a minimal color distortion and guarantee accuracy of analysis of the seedling growth.

The invention relates to an image enhancement method and device, an apparatus and a storage medium. The image enhancement method comprises the following steps of firstly, separating and extracting a brightness component and a chrominance component of an image, then extracting the ambient illumination information in the brightness component to obtain an illumination component, carrying out brightness correction on the brightness image by utilizing the illumination component to obtain a corrected brightness component, and then combining the chrominance component to obtain an enhanced image. Since the brightness of the image is adjusted on the basis of the environment brightness information carried by the image during the whole adjusting process, the brightness of the image can be adjusted in an adaptive manner, a weak light area is enhanced, a strong light area is weakened, the illumination balance is achieved, the enhancement effect is better, and the color distortion of the image is extremely small.