A shaping device is provided and includes a head portion that ejects a material of a shaped object, and a controller that controls the operation of the head portion based on ejecting position specifying data indicating a position to eject the material of each color, the ejecting position specifying data being data in which a color is expressed in a predetermined material color space. The controller generates the ejecting position specifying data based on input data in which colors are expressed in a predetermined input color space, and in the process of generating the ejecting position specifying data, performs a color conversion process of converting a color using at least a profile that associates the color in the input color space with the color in the material color space, and a color adjustment parameter which is a parameter used for adjustment performed for color conversion performed using the profile.

There are provided a method and system for color correcting displays with different color gamuts. The method includes performing color correction on source picture content, using at least one of a non-reference type display having a non-reference color gamut and a reference type display having a reference color gamut. The performing step includes mastering the source picture content to provide mastered color corrected picture content for display on the reference type displays having a reference color gamut. The performing step further includes generating metadata for a subsequent inverse color gamut mapping that color transforms the mastered color corrected picture content for display on non-reference type displays having a non-reference color gamut. The subsequent inverse color gamut mapping is an inverse operation of a color gamut mapping applied during the color correction to obtain the mastered color corrected picture content for display on the reference type displays having the reference color gamut. The source picture content is mastered only for the reference type displays having the reference color gamut.

The present disclosure generally relates to a method and device of converting a high-dynamic-range (HDR) version of a picture to a standard-dynamic-range (SDR) version of this picture. The method is characterized in that it converts the high-dynamic-range version to the standard-dynamic-range version of the picture according to: a first indicator (I1) that indicates the presence of color mapping parameters; a second indicator (I2) that indicates whether a device is configured to convert the high-dynamic-range version to the standard-dynamic-range version of the picture by taking into account said color mapping parameters; and a third indicator (I3) that indicates whether converting without taking into account said color mapping parameters is inhibited.

According to this method, the mapping color LUT has input colors that sample not only a source color gamut (included in an input encoding color space in which inputs colors of this LUT are encoded) but also a portion of the input encoding color space which is not included in the source color gamut. Preferably, this color LUT further includes output colors located outside the target color gamut. Accuracy of the mapping is improved, notably for source colors located near the boundary of the source color gamut.

A printer includes: an inline scanner which acquires an RGB value of each patch of a color chart; an inline colorimeter which acquires a colorimetric value of each patch of the color chart; a profile creation unit which creates a profile for associating the RGB value with the colorimetric value of each patch; and a color conversion unit which estimates a colorimetric value corresponding to an RGB value of input data by extrapolation calculation using four points including three points forming a plane and one supporting point in data of the profile, wherein the color conversion unit estimates the colorimetric value corresponding to the RGB value based on a set of four points remained after deleting one or a plurality of sets of four points according to a predetermined rule from a plurality of sets of four points selected for an RGB value input.

In one embodiment, an image containing a number of colors is received. The image is divided into a number of sections, and an importance value is determined for each section. For each section of the image, a frequency of each color is determined. For each color in the image, a weighted score is calculated based on the frequency of that color in a particular section, and the importance value in the particular section. The weighted scores are used to adjust an error metric used to determine an approximation function for a color profile to transform the image from a first color space to a second color space, where the error metric measures the difference between the approximation function and an ideal function curve for the transformation.

The present disclosure relates to a method and device for processing a sequence of pictures comprising estimating a color mapping between a first color-graded version of said sequence of pictures whose values are represented in a first color volume and a second color-graded version of said sequence of pictures whose values are represented in a second color volume. The method is characterized in that it comprises:—obtaining (10) a first composite picture by assembling at least two pictures of the first color-graded version of the sequence of pictures in order that the content of said first composite picture comprises at least a part of the content of each of said at least two pictures, and the second composite picture is obtained by assembling at least two pictures of the second color-graded version of the sequence of pictures in order that the content of said second composite picture comprises at least a part of the content of each of said at least two pictures; and—estimating (20) said color mapping between said first and second color-graded versions of the picture by estimating a color mapping function that maps the color values of said first composite picture onto the color values of said second composite picture.

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, in a plane of constant hue, obtaining a target lightness for a color on the boundary of first gamut with maximum chroma, called first cusp color; and lightness mapping of the color from the first color gamut towards the second color gamut wherein the lightness mapped color is calculated from a parabolic function applied to the color, the parabolic function mapping the first cusp color to a color having the target lightness. According to a particular characteristic, a preserved chroma is also obtained; and in case the chroma of the color is lower than or equal to the preserved chroma, the lightness mapped color is the color, and in case the chroma of the color is higher than the preserved chroma, the lightness mapped color is calculated from the parabolic function applied to the color.

A method for a scalable storage-loss optimized (SSLO) system for color gamut mapping is provided. The SSLO system method comprises generating a pre-computed color gamut mapping between an input color gamut and an output color gamut, receiving an input signal including a plurality of input pixels from the input signal domain, wherein the input pixels correspond to a set of first color values represented in a first color space; converting the set of the first color values to be a set of second color values represented in a second color space; generating a set of third color values through a mapping modeling and a color reproduction; converting the set of the third color values to be a set of fourth color values represented in the first color space; and outputting an output signal including a plurality of output pixels corresponding to the fourth color values to the output signal domain.

Based on a histogram of saturation of an input video, a saturation conversion function is determined, and, referring to the determined saturation conversion function, the saturation of each pixel of the input video is converted. Alternatively, a saturation conversion coefficient determination function is generated from the histogram, a saturation conversion coefficient is determined from the saturation conversion coefficient determination function and the saturation, and color differences are multiplied by the determined saturation conversion coefficient. Regardless of what saturation distribution the input video has, the saturation can be properly enhanced, and at the same time a high gradation expression can be obtained.