An image processing apparatus includes a processor configured to calculate color data for inspection by converting printing data that is data as a base of an image to be printed and includes a normal color which is a normally used color and a spot color which is a color other than the normal color, into color data of another color space in which the number of colors is decreased, for each of the printing data of the normal color and the printing data of the spot color and then, combining the color data after the conversion, and output the calculated color data for inspection.

An article of manufacture may include a matrix barcode on a physical medium and associated with an environment. The matrix barcode may include a plurality of colors, where at least one of the plurality of colors is a least prevalent color, of a plurality of prevalent colors in the environment.

Even when the number of image formers and/or the number of color management target values are large, it is possible to easily manage the color management target value associated with the image former.

A color management device 1 according to one aspect of the present invention includes a management part 107 that manages information on a user who performs a color verification operation using the color management target value in association with correspondence information in which the image former and the color management target value are managed in association with each other.

Systems and methods manage information relating to paper media to enhance the quality of printing by printers. Systems and methods efficiently maintain color management profiles for different papers and ensure that the most appropriate (e.g., optimal) color management profile is employed for color conversion on a specific paper. In particular, embodiments may employ dynamic management of data stored in paper catalogs of printing systems. As such, a paper catalog of a printer can effectively associate a paper with a color management profile that provides the best possible color reproduction on that paper.

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.

A non-transitory computer-readable medium stores computer-readable instructions. The instructions instruct a computer to perform processes including an acquisition step, a determination step, and a display step. The acquisition step includes acquiring a specified color. The determination step includes determining whether a device-independent color based on the specified color is present within a first color gamut based on first print settings of a printer. The display step includes displaying, when it is determined by the determination step that the device-independent color is present within the first color gamut, second print settings of the printer. The second print settings are different from the first print settings and with which the device-independent color is present within a second color gamut that is based on the second print settings.

Example color resources are generated. A first luminosity amount of a greyscale color in a greyscale color space is determined. The greyscale color corresponds with a transformation of a source color in a first color space converted to the greyscale color. The source color corresponding with a depletion color in a second color space, and the depletion color has a second luminosity amount. A target color in a color resource is generated via adjusting a black channel amount in the depletion color to match the second luminosity amount with the first luminosity amount. The target color to correspond with the source color in the color resource.

Techniques are provided for color correction of image frames, received from a hybrid RGBIR sensor, using resolution recovery of the red, green, blue (RGB), and infra-red (IR) channels. The color correction is to compensate for IR contamination of the RGB channels. A methodology implementing the techniques according to an embodiment includes a demosaic operation on the RGBIR image frame to generate full resolution red, green, blue, and IR frames. The demosaic operation includes filtering to extract Chroma and Luma components of the RGBIR image to reconstruct the full resolution images. The method also includes calculating an IR weighting factor for the pixels of each of the full resolution RGB frames, and correcting for IR contamination of those pixels by subtracting a scaled value of the corresponding pixels from the full resolution IR frame. The scaled value is based on the IR weighting factor associated with the pixel to be corrected.

Color correction methods relate device dependent sensor responses (RGB) to device independent color values (XYZ). The present invention discloses a new approach to Hue Plane Preserving Color Correction (HPPCC) using weighted constrained 3×3 matrices. Accordingly, the methods of the present invention employ hue angle specific weighted matrixing. Given a device RGB from which a device hue angle is derived, a corresponding transformation matrix is found as the normalized weighted sum of all pre-calculated constrained white point and training color preserving matrices. Each weight is calculated as a power function of the minimum difference between the device and the training color hue angle. The weighting function provides local influence to the matrices that are in close hue angle proximity to the device color. The power of the function can be further optimized for global accuracy. The methods of the present invention are termed HPPCC-WCM for Hue Plane Preserving Color Correction Weighted Constrained Methods. Experiments performed using different input spectra demonstrate that the claimed methods consistently improve the stability and accuracy of state-of-the-art methods for color correction.

Source colors are mapped within a mapping segment starting at a preserved gamut boundary color (P.sub.C) and ending at a target gamut boundary color (I.sub.T-C) of the chromaticity plane, corresponding, in a linear 3D color space, to an intersection of the target color gamut (TCG) with a plane of constant luminance and with a mapping plane (MKO) comprising said source color (M), a black point (K) and a white point (O).