35 results about "Color adaptation" patented technology

An image processing technique of achieving color matching in terms of image colors respectively observed at sending and receiving ends. A first image processing apparatus transmits image data to a second image processing apparatus which performs color adaptation conversion on the basis of output image illumination light source information and input image illumination light source information. The first image processing apparatus includes an input device which inputs input image illumination light source information and profile information of a source device, and a transfer device which transfers the input image illumination light source information, the profile information, and image data representing an input image in a form depending on the source device, to the second image processing apparatus. The second image processing apparatus performs color adaptation conversion through a communication line.

The invention discloses a color digital camera white balance correction method based on a color adaptation model. According to the method, a color correction matrix is calculated through adoption of a root-polynomial regression method, so device related response values RGB under a plurality of common light sources (hereinafter called the correction light sources) are converted into CIE1931 tristimulus values XYZ unrelated to devices under the same light source. RGB response values of an unknown light source (hereinafter called a test light source) in a practical scene are converted into an XYZ color space through utilization of a pre-calibrated color correction matrix, the corresponding colors of the RGB response values under a reference light source are calculated through utilization of a CAT02 color adaptation model, and the corresponding colors are the colors sensed by a visual system after an observer carries out color adaptation to the test light source.

A method and a device used for removing background colors from an image is provided, which removes background colors via processing an image in a colorimetric space. After determination (22) of a colorimetric value of background colors of the image, calculate (23) a color adaptation transform used for transforming the background color colorimetric value into a target color spot, the target color spot is usually a white spot. Then apply (24) the calculated color adaptation transform into the image.

Under the conditions that there are 2 or more samples produced in a CCM toning or visual toning process by which colors are adapted to the target color and respective components such as a coloring agent defining the sample color are registered in a CCM system, the reproducibility of the samples is evaluated based on the difference DeltaR-n (n denotes a sample number) between spectral reflectance RST-n obtained by actually measuring the respective samples and spectral reflectance RPR-n obtained by the CCM simulation corresponding to the coloring agent recipe for the sample color at the same n, and determination whether toning work should be continued or not is rapidly and simply performed. On the other hand, when an abnormal sample is perceived, the difference DeltaR'-b of the sample obtained from the specified equations is determined and, by comparison of the difference between the target color and a color of a toning sample in the color matching process, components such as a coloring agent mixed into the abnormal sample is presumed and its mixed amount is presumed.

A dental color system having primary and mixed colors with assigned coordinates in the CIElab color space, in which the colors of natural teeth are essentially located on coordinates within an ellipsoid-shaped space, which is assigned a longitudinal axis. In order for the color system to consist of a small number of primary and mixed colors and to allow an optimum color adaptation to the natural teeth surrounding the dental prosthesis, it is proposed that the primary colors consist of first primary colors and at least one group of second primary colors, that the coordinates of the first primary colors be positioned on the longitudinal axis of the ellipsoid-shaped space or on a base line extending from light to dark in the CIElab space, that the coordinates of at least one group of second primary colors be positioned in a plane that perpendicularly intersects the longitudinal axis or base line, and that the coordinates of mixed colors be intersection points of first and second straight lines, whereby at least one first straight line extends parallel to the longitudinal axis or base line and the respective second straight line is a connection between the coordinates of the first primary color and the second primary color.

Graphical style modification may be implemented using machine learning. A color accommodation module receives an image frame from a host system and generates a color-adapted version of the image frame. A Graphical Style Modification module receives a first image frame from a host system and applies a style adapted from a second image frame to the first image frame to generate a style adapted first image frame.

The invention discloses an interface color adaptation method, an interface color adaptation device, computer equipment and a storage medium. The method comprises the following steps: obtaining a basicpreference picture, and extracting the color value of the basic preference picture through an image palette; determining the dominant hue of the basic preference picture according to the proportion of the appearing number of each color value to the appearing number of all the color values; obtaining page element information contained in the interface, wherein the page element information comprises an element identifier and an element area, and the element area comprises a page element upper left corner coordinate and a page element lower right corner coordinate; based on the page element information, calculating the importance level of an element corresponding to each element identifier by adopting a preset calculation formula; and filling the element region of the element identifier corresponding to each importance level according to a preset mapping relationship to obtain target color matching of the interface. According to the interface color adaptation method, automatic adaptationof interface color matching is achieved, and the interface color adaptation efficiency is greatly improved.

The invention discloses a recommending processing method and system for automatic online decorative painting synthesis. The method includes the steps that an operation instruction of a user is received, picture works are browsed, and the works needing to the decorated are selected; color system analyzing is conducted on the works, and matched picture frames matched with the works are obtained; corresponding digital picture frame effect pictures are automatically synthesized, recommended and displayed according to the obtained matched picture frames matched with the works in color adaptation. According to the recommending processing method and system for the automatic online decorative painting synthesis, the matched picture frames matched with the works can be obtained according to the works selected by the user, the corresponding digital picture frame effect pictures are automatically synthesized, recommended and displayed, complex operation is reduced, and convenience is provided for the user; in addition, recommended and displayed decorative types can be automatically corrected and optimized according to the comment opinions of the user, that is existing data can be used for conducting machine learning, and therefore the recommending accuracy is improved.

Accommodation for color or visual impairments may be implemented by selective color substitution. A color accommodation module receives an image frame from a host system and generates a color-adapted version of the image frame. The color accommodation module may include a rule based filter that substitutes one or more colors within the image frame with one or more corresponding alternative colors.

A color reproduction method comprises: inputting a first color gamut and a second color gamut; applying, to the first color gamut, a first color correction in which color adaptation is taken into consideration on a basis of reference white in the first color gamut and the second color gamut and a second color correction for matching basic colors in the first color gamut and the second color gamut with each other; applying, to a first color gamut to which the first color correction and the second color correction are applied, a third color correction for correcting a color that is present in colors outside of the second color gamut to colors on a surface or inside of the second color gamut; and generating color conversion information for converting the first color gamut into the second color gamut.

The invention discloses a color configuration method of a status bar and related equipment. The method comprises the following steps: when an addition request of adding a target sub-page at a sub-pagelayer is detected, first, first color category information of a title bar of the target sub-page included in the addition request is obtained; Then, according to the first color category information,the color adaptation information of the system status bar is determined. Then, according to the color adaptation information, the color of the shading layer of the status bar is configured to match the color of the system status bar with the color of the title bar. By adopting the embodiment of the invention, the color of the system status bar can be configured according to the color adaptabilityof the title bar of the sub-page, thereby further improving the aesthetics degree of the application program interface based on the immersion status bar.

A video bitstream is received from an encoder, comprising encoded image portions each having a common form representing components of a channel in a color space. Each of a plurality of the encoded image portions comprises a different set of quantized values of the components, including at least a value of a first of the components being quantized from amongst a first scheme of quantized levels. Further, the received bitstream comprises a look-up table mapping the quantized levels of the first scheme to at least partially de-quantized respective levels. A de-quantizer uses the look-up table received in the bitstream to at least partially de-quantize the different quantized values of the first component in a plurality of the image portions, by converting the quantized values of the first component to at least partially de-quantized values corresponding to ones of the at least partially de-quantized levels of the first scheme.

The invention provides a color adaptation processing method and device for a user interface component and equipment. The method comprises the steps: obtaining an RGB color value of a page region where a to-be-processed user interface component is located, converting the RGB color value into an HSV color value, and judging which component color is suitable for the color of the page region where the current to-be-processed user interface component is located based on the HSV color value. The to-be-processed user interface component is automatically set to be in a suitable matching color, so that automatic matching of the user interface component is achieved, the method is more friendly to some color blindness and color weakness people and higher in identifiability, the user interface component and page display effect and user experience are improved, the implementation cost of design and research and development personnel can also be reduced, and cost is reduced and the efficiency is improved.

The invention discloses a color correction method with high fault tolerance for the chromaticity estimation result of an automatic white balance module light source in a color digital camera. The invention calculates the spectral transformation relationship between the spectral sensitivity function of the camera and the CIE1931 color matching function, The original RGB response signal of the camera is transformed into CIE1931 XYZ space which is independent of the equipment, and the corresponding color response value after color adaptation under the reference light source is calculated by usingCAT02 color adaptation transformation model, so that the color correction flow which does not depend on the pre-calibration parameters is realized.

The invention provides a multi-dimensional spectral color space construction method and device and electronic equipment, and relates to the technical field of color science. The method comprises the steps of: calculating the color appearance attribute value of a target object through a preset color appearance model after the source spectrum data of the target object is obtained, weighting a spectral principal component through a contribution rate to obtain a target spectral principal component, and finally, constructing a multi-dimensional spectral color space based on the color appearance attribute value of the target object and the target spectral principal component. In view of the fact that the color appearance model considers the influence of observation conditions on a human vision system, the effect of factors such as ambient light, color contrast and color adaptation on color vision can be simulated. The weighting processing weakens the average performance of different spectralprincipal components in application, and highlights the effect of important components, so that the multi-dimensional spectral color space obtained by the method is more suitable for actual needs andspecific application than the existing spectral color space.

The invention provides an image color restoration method and related equipment, and the method is applied to a display device, and comprises the steps: receiving screen color gamut RGB data generated by a photographing device; acquiring a shooting environment color temperature when the shooting device shoots an image, a display environment color temperature of the display device and a color coordinate of white in screen color gamut information of the display device; and according to the shooting environment color temperature, the display environment color temperature and color coordinates of white in the screen color gamut information of the display device, performing color adaptation transformation on the screen color gamut RGB data to obtain display environment RGB data. According to the invention, accurate restoration of the image color can be realized.

The invention discloses a color correction method with high error tolerance for the chromaticity estimation result of a light source of an automatic white balance module in a color digital camera. The present invention converts the original RGB response signal of the camera into the device-independent CIE1931 XYZ space by calculating the spectral transformation relationship between the camera spectral sensitivity function and the CIE1931 color matching function, and uses the CAT02 color adaptation transformation model to calculate its color under the reference light source. The corresponding color response value after adaptation, so as to realize the color correction process that does not depend on the calibration parameters in advance.

A light source presuming apparatus includes: a candidate light source color obtaining unit which obtains candidate light source colors; a guide light source color holding unit which holds guide light source colors for guiding obtainment of parameters of a color adaptation model showing color adaptation of the sight sense from the candidate light source colors to a reference light source color; a guide parameter obtaining unit which obtains such parameters so as to be guided to the guide light source colors; an error converging unit which obtains light source colors, as correction candidate light source colors, having the relation showing the color adaptation of the sight sense with the reference light source color by using the color adaptation model shown by guide parameters, substitutes the correction candidate light source colors for the candidate light source colors, and converges errors included in the candidate light source colors; and a light source color presuming unit which presumes the correction candidate light source color of the minimum errors as a light source color of the image data.

A receiver receives a video bitstream from an encoder, comprising encoded image portions each having a common form representing components of a channel in a color space. Each of a plurality of the encoded image portions comprises a different set of quantized values of the components, including values of one or more first ones of the components quantized according to a first scheme. The received bitstream further comprises, for each of the one or more first components, an indication of one or more characteristic points in a respective quantization level distribution according to the first scheme, but fewer points per distribution than there are quantized levels of the respective distribution. A de-quantizer at least partially de-quantizes the different quantized values of that first component using the points of the respective distribution, by reconstructing the distribution from those points.

An adaptive color depth control may receive input signals from a power mode block, an ambient light sensor and / or a resource usage monitor to adjust the performance of a system through adaptation of the number of bits-perpixel for each of the three primary colors supplied to a display. The spatial resolution may be adapted in a similar manner with inputs from the power mode block, ambient light sensor, and / or resource usage monitor.

The embodiment of the invention discloses a theme color conversion method, electronic equipment and a computer readable storage medium. According to the embodiment of the invention, a drawing element is identified to obtain a first color which is being applied by the drawing element, and whether color conversion is performed on the drawing element is determined; and under the condition that it is determined that color conversion is carried out on the drawing element, converting a first color which is being applied by the drawing element into a second color according to a preset rule. Therefore, by adopting the embodiment of the invention, the problem of stock and third-party interface theme color adaptation can be solved, the workload for interface rectification is not needed, the colors in the drawing method called by the application are replaced by utilizing the set theme color replacement strategy, the color conversion of the drawing elements to be displayed in the display screen can be realized, and the user experience is improved. And user experience is improved.

The invention discloses an eagle-eye-imitating adaptive mechanism-based unmanned aerial vehicle sea surface small target identification method. The method comprises the following steps: 1, modeling aneagle-eye-imitating light and shade adaptive mechanism; step 2, modeling an eagle-eye-imitating color adaptation mechanism; 3, modeling an eagle-eye-imitating foreground and background adaptation mechanism; 4, performing amplitude phase spectrum reconstruction on the image after eagle-eye-imitating adaptation mechanism adjustment; 5, calculating a multi-scale gray difference; step 6, calculatingsignificant information and normalizing the significant information; and step 7, outputting a saliency map of the unmanned aerial vehicle of the eagle-eye-imitating adaptive mechanism for identifyingthe sea surface small target. The invention has the advantages that: 1) an eagle eye mechanism is introduced into a small target detection process, so that the capability of capturing preys in variousenvironments in thousands of meters of high altitude of an eagle can be better mapped to the task requirement of an unmanned aerial vehicle for long-distance identification and tracking of the unmanned ship; 2) the unmanned aerial vehicle can greatly adapt to various sea surface environments, such as sea surface scale light, sunny days, cloudy days, dusk and the like, by using an eagle eye self-adaptive mechanism;.