Abstract: Disclosed is a method for acquiring a preferred memory color of an object and a standard color chart of the preferred memory color. The method comprises the following steps: collecting an original image of a target object with a representative memory color and a spectral reflectance distribution curve of a measured surface color of the target object; rendering the original image to acquire a group of experimental images; acquiring evaluation data of memory color preference of a subject based on the experimental images; obtaining a coordinate value of the preferred memory color; further, selecting a pigment combination of color patches according to the measured spectral reflectance distribution curve of a memory object, and acquiring a color formula of the color patches of the preferred memory color in an experiment from the combination, so as to realize the acquisition of a memory color chart.

Abstract: A color matching method and a color matching device are provided, the color matching method includes: S1, determining a target color; S2, judging whether color data of a sample is obtained, if yes, proceeding to step S3, and if not, proceeding to step S5; S3, measuring the color data of the sample and displaying a color on a substrate, and proceeding to step S4; S4, judging whether the color displayed on the substrate is consistent with the target color, and if not, proceeding to step S6, and if yes, proceeding to step S7; S5, selecting a color and emitting light consistent with a chromaticity value of the selected color onto the substrate and proceeding to step S6; S6, adjusting the color displayed on the substrate until an adjusted color displayed on the substrate is consistent with the target color, and proceeding to S7; and S7, storing data.

Abstract: A color gamut mapping method and apparatus, includes obtaining a to-be-processed image, obtaining lightness and chroma information of a target color gamut, and mapping a lightness value and a chroma value of a pixel in the to-be-processed image to obtain a processed image corresponding to the target color gamut, where a pixel in the processed image has a mapped lightness value and a mapped chroma value, and the mapped lightness value and the mapped chroma value are obtained by mapping the lightness value and the chroma value of the pixel in a color gamut of the to-be-processed image to the target color gamut using a point with a minimum lightness value in the target color gamut as a mapping end point.

Abstract: A color gamut mapping method and apparatus, includes obtaining a to-be-processed image, obtaining lightness and chroma information of a target color gamut, and mapping a lightness value and a chroma value of a pixel in the to-be-processed image to obtain a processed image corresponding to the target color gamut, where a pixel in the processed image has a mapped lightness value and a mapped chroma value, and the mapped lightness value and the mapped chroma value are obtained by mapping the lightness value and the chroma value of the pixel in a color gamut of the to-be-processed image to the target color gamut using a point with a minimum lightness value in the target color gamut as a mapping end point.

Abstract: According to the present invention, firstly multiple reference parameter values of each color sample in a color chart are set, or a photograph and a measurement are performed on a standard color chart or a user-defined color chart in a certain standard lighting environment, multiple reference parameter values, SPD (?)×R (?) and brightness of each color sample are obtained. Then the SPD (?)×R (?) and the brightness of each color sample are reproduced by using a spectral tunable lighting source. Then each reproduced color sample is photographed by using the camera under the same settings to obtain multiple reproduced parameter values of each color sample. The two groups of parameter values are compared and a color calibration model is established. Finally color calibration of each batch of camera modules is implemented without the helping of a color chart and standard lighting environment.

Abstract: According to the present invention, firstly multiple reference parameter values of each color sample in a color chart are set, or a photograph and a measurement are performed on a standard color chart or a user-defined color chart in a certain standard lighting environment, multiple reference parameter values, SPD (?)×R (?) and brightness of each color sample are obtained. Then the SPD (?)×R (?) and the brightness of each color sample are reproduced by using a spectral tunable lighting source. Then each reproduced color sample is photographed by using the camera under the same settings to obtain multiple reproduced parameter values of each color sample. The two groups of parameter values are compared and a color calibration model is established. Finally color calibration of each batch of camera modules is implemented without the helping of a color chart and standard lighting environment.

Abstract: Color selection and display methods and devices in which colors can be displayed according to color harmony and color emotion and feedback obtained on color emotion and color harmony evoked by selected color and/or color combinations.

Abstract: According to one example embodiment described herein is a method of notating a color that includes determining, using predetermined mathematical equations and in dependence on numerical color attributes that identify a color, a plurality of numerical color emotion values each representative of a different human emotional response to the color; and assigning an identifying notation to the color, the identifying notation comprising a color emotion notation that includes the color emotion values.

Abstract: Color selection and display methods and devices in which colors can be displayed according to color harmony and color emotion and feedback obtained on color emotion and color harmony evoked by selected color and/or color combinations.

Abstract: An apparatus and method for image-adaptive color reproduction is provided. The apparatus includes an information-extraction unit, an image-compression unit and an image-information-reproduction unit. The information-extraction unit inputs image information of a first color space model, converts the input image information into image information of a second color space model, and extracts pixel frequency information of pixels belonging to a plurality of color regions by using the image information of the second color space model. The image compression unit inputs the image information of the first color space model, converts the input image information into the image information of the second color space model, and calculates compressed image information by compression-mapping the image information of the second color space model. The image information reproduction unit outputs final image information by using the pixel frequency information and the compressed image information.

Abstract: According to one example embodiment described herein is a method of notating a color that includes determining, using predetermined mathematical equations and in dependence on numerical color attributes that identify a color, a plurality of numerical color emotion values each representative of a different human emotional response to the color; and assigning an identifying notation to the color, the identifying notation comprising a color emotion notation that includes the color emotion values.

Abstract: A method, combination or apparatus for compensating for or predicting the shift in the human perception of color which occurs when the color is seen on a small surface area as compared with when it is seen extending over of large surface area. The compensation or prediction is performed by increasing (compensation) or decreasing (prediction) the lightness and chroma of the color in a specified way. The invention allows choosers of color to take account of the shifts when making their choice of colors and is useful in choosing colors for paints, plastics, textiles or illuminated surfaces.

Abstract: A classifying of an input image into a business graphic image or a photo image, such as in image calibration of the image. A system classifying an input image into at least one of a business graphic image and a photo image includes a color space transform unit transforming the input image into components of a lightness-saturation color space, a lightness analysis unit calculating a lightness frequency distribution of lightness components among the transformed components, a saturation analysis unit calculating an average of saturation components among the transformed components, and an image classification unit comparing an estimation function using the calculated lightness frequency distribution and the average of the saturation components and a threshold value so as to classify the input image.

Abstract: A color-management apparatus and method which can improve color reproducibility during color-gamut mapping of devices having different color gamuts are provided. The apparatus includes a transformation unit transforming a first color space of an original image supplied from a source device into a second color space, a computing unit computing a plurality of second parameters based on at least one among a plurality of first parameter defining the second color space, and a color-gamut mapping unit performing color-gamut mapping between the source device and a reproduction device reproducing an output image from the original image using the plurality of second parameters.

Abstract: An apparatus and method for image-adaptive color reproduction is provided. The apparatus includes an information-extraction unit, an image-compression unit and an image-information-reproduction unit. The information-extraction unit inputs image information of a first color space model, converts the input image information into image information of a second color space model, and extracts pixel frequency information of pixels belonging to a plurality of color regions by using the image information of the second color space model. The image compression unit inputs the image information of the first color space model, converts the input image information into the image information of the second color space model, and calculates compressed image information by compression-mapping the image information of the second color space model. The image information reproduction unit outputs final image information by using the pixel frequency information and the compressed image information.

Abstract: A gamut-mapping apparatus includes a color-coordinate-conversion module which converts color coordinate values of an inputted color sample to values of a spherical coordinate system, and which divides the spherical coordinate system into a predetermined number of segments; a judgment module which detects color coordinate values having a largest radius among color coordinate values included in the divided segments; and a gamut-boundary-setup module which detects the color coordinate value having a greatest radius, which is most adjacent to a center of each segment, according to the divided segments based on the detected color coordinate values having the largest radius among color coordinate values included in the divided segments, and which sets a gamut boundary. The spherical coordinate system is divided based on a hue value and a largest chroma value with respect to each hue.

Abstract: A method and apparatus for processing data representing an image in a first color space suitable for controlling a first image output device. The apparatus comprises a processor (11, 14, 17) for reversibly transforming the image into a perceptual color space defined by lightness, colorfulness and hue components, and for modifying the lightness, colorfulness and hue components of the image in accordance with a predetermined algorithm so that all colors in the image fall within the gamut of a second image output device; and a store for storing data defining the modified and unmodified lightness, colorfulness and hue components.