A method is disclosed wherein data representative of a plurality of colors defined In a color space is received, the plurality of colors providing a color palette taken to be related to each other by predefined color harmony rules based on their relative positions in the color space. An irreproducible color of the color palette outside a rendering system's reproducible color gamut is determined, the reproducible color gamut having been received for a rendering system on which image data comprising colors of the color palette is to be reproduced. A suggested color for a replacement color palette also complying with the predefined color harmony rules is determined based on the reproducible color gamut to bring the color palette towards being within the rendering system's reproducible color gamut.

A method includes receiving information specifying a color gamut. The color gamut corresponds to a range of colors producible by an output device. The method further includes receiving a first indication of a first color associated with a first point in a geometrical representation of the color gamut in a three-dimensional (3D) color space. The method further includes generating, based on the first color, a second indication of a second color that is included in the color gamut. The second color is associated with a second point in the 3D color space. The second point is identified based on a particular value of data associated with a plurality of distances between the first point and a subset of points of the geometrical representation. The subset of points includes more than one and fewer than all points of the geometrical representation.

A display device capable of displaying images with wide color gamut is provided. A display device capable of displaying images with wide color gamut and capable of relaxing contrast made by narrow spectra is provided. The display device includes a liquid crystal element and a light-emitting element. Light obtained from the liquid crystal element through a color filter has an NTSC area ratio of more than or equal to 20 percent and less than or equal to 60 percent and light emitted by the light-emitting element has a BT.2020 area ratio of more than or equal to 80 percent and less than or equal to 100 percent.

The present principles relate to a method and device for gamut mapping from a first color gamut towards a second color gamut. The method comprises obtaining a preserved key color (prsv_color.sub.K0) and a hue alignment angle (.sub.K0) of the key color (color.sub.K0) for each key color (color.sub.K0) of at least 3 key colors to define a preserved gamut and a rotated gamut; and performing a hue mapping of a current color (color) from the first color gamut towards the second color gamut wherein in case the current color (color) is in a preserved gamut defined by the preserved key color (prsv_color.sub.K0), the hue mapped current color is unchanged, and in case the current color is out of the preserved gamut, the hue mapped current color is calculated from the hue alignment angle (.sub.K0) of two adjacent key colors of the current color (rotated gamut) and from the preserved area.

A color of an image that is printed based on a second color value obtained by converting a color value of a specific color falling outside a color gamut without using a first conversion table is closer to the specific color falling outside the color gamut than a color of an image that is printed based on a first color value obtained by converting the color value of the specific color falling outside the color gamut by using the first conversion table.

A method and apparatus for combining colorants using a camera. The method of combining colorants using a camera includes extracting color data from an image of an object captured using a camera, converting the color data into spectral reflection factor data of the object on the basis of a pre-constructed camera color model, acquiring spectral reflection factor data for an estimated colorant combination obtained by simulating a combination of colorant samples obtained from a colorant database, and selecting an optimal colorant combination by comparing errors between the spectral reflection factor data of the object and the spectral reflection factor data for the estimated colorant combination. Therefore, it is possible to use a highly accessible and inexpensive camera, such as a smartphone camera, and thus an ordinary user can easily find an optimal colorant combination.

An information processing apparatus connected to an image forming unit and a reading unit is provided. The apparatus generates image data based on document data described in a page description language, encodes the document data to be multiplexed on the image data, outputs the image data to the image forming unit, restores the multiplexed document data from the image data read by the reading unit, and saves the image data read by the reading unit and the document data restored by a restoration unit.

A method of gamut mapping and color gamut mapping apparatus comprises: acquiring the Lab value of the color point in the original color gamut; and determining the color point in the original color gamut relative to the coordinate location in a hue plane based on the Lab value; and determining the mapping target gamut of the color point based on the coordinate location; If a color point is located outside the mapping target area, it determining the first intersection point of the line connecting the color point and the maximum brightness and the borderline of the mapping target color gamut and the second intersection point of the color point relative to the borderline of the mapping target gamut, and finally according to the preset adjustment parameter, the mapping point being determined on the borderline of the mapping target color gamut relative to the color point.

Method of color measuring a color of a rendered copy of a digital image, by a color-measuring-device (3000) for color measuring in a plurality of spectral ranges (r.sub.1 . . . r.sub.Q); wherein said method comprises the step: measuring said color is measured in a sub-set (s.sub.1 . . . s.sub.M; .sub.3305) of said plurality of spectral ranges (r.sub.1 . . . r.sub.Q); and wherein said sub-set (s.sub.1 . . . s.sub.M) is determined by: selecting a color of a gamut boundary of said digital image (1200); and determining of said color for said plurality of spectral ranges (r.sub.1 . . . r.sub.Q) corresponding spectral reflectance factors (v.sub.1 . . . v.sub.Q); and adding a spectral range (r.sub.i), having a minimum and maximum spectral reflectance factor, to said sub-set (s.sub.1 . . . s.sub.M) wherein its corresponding spectral reflectance value (v.sub.i) is larger than 10% of said maximum spectral reflectance factor minus said minimum spectral reflectance factor.

An image processing apparatus includes circuitry to acquire input image data, perform image conversion on the input image data to generate the output image data corresponding to each of a plurality of output conditions, and calculate a color feature amount that is a change amount of color characteristics of each pixel from the input image data and the output image data before and after the image conversion. The circuitry calculates cost information indicating cost of the output image data corresponding to each of the plurality of output conditions, based on the plurality of output conditions and the output image data, and calculates cost effectiveness with reference to the color feature amount, the cost information, and a weighting table in which weights for items of the plurality of output conditions are set, to determine one output condition of the plurality of output conditions to be used for output.