An object of the present disclosure is to highly accurately match both colors and line widths between different printing apparatuses. One embodiment of the present invention is an information processing apparatus including: a first acquisition unit configured to acquire a color developing characteristic in image printing by a first printing apparatus; a second acquisition unit configured to acquire a color developing characteristic in image printing by a second printing apparatus; a table generation unit configured to generate a color matching table used in a case where color matching is performed between the first printing apparatus and the second printing apparatus based on the acquired color developing characteristic of the first printing apparatus and the acquired color developing characteristic of the second printing apparatus; a third acquisition unit configured to acquire a line width characteristic of the first printing apparatus.

A memory device includes a compressed color table and corrective information. The compressed color table includes a first set of nodes of the color table compressed with a lossy compression at a selected compression ratio. The first set of nodes include a color difference within an error threshold at the selected compression ratio. Corrective information is included for a second set of nodes of the color table. The second set of nodes have a color difference outside the error threshold.

A method of image data interpolation. The method includes obtaining transform data associated with a plurality of sampling points, each sampling point located on a boundary of a region. The transform data is processed to generate additional transform data associated with an additional sampling point located on a boundary of a subregion of the region. An interpolation process is performed. The interpolation process includes processing image data associated with a point within the subregion with the additional transform data, thereby generating interpolated image data representative of an interpolated data value at the point. This patent application further relates to a method including obtaining transform data associated with points corresponding to a surface of a region and generating additional transform data associated with at least one interior point of the region. Image data associated with a further interior point of the region is interpolated using at least the additional transform data.

In some examples, a supply component for a printing device includes a memory device comprising corrective data to produce a customized color table for a first color gamut, wherein the corrective data corresponds to nodes of a reference color table for the printing device that is able to employ a plurality of color gamuts for printing. The corrective data comprises a plurality of residual values to transform the nodes of the reference color table to the customized color table. The corrective data is accessible by the printing device to transform the reference color table to the customized color table used for printing to a media using the first color gamut.

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 33 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.

An information processing device includes: an image acquirer that acquires an image to print onto a medium; a color converter that converts color in the image acquired by the image acquirer depending on a positional relationship between a white image forming section that forms an image on the medium with white color material and a color image forming section that forms an image on the medium with colored color material; and an image output unit that outputs the image whose color is converted by the color converter.

An image forming apparatus includes an image forming unit and a control unit. The image forming unit forms a test image based on test image data. The test image data includes a first image area and a second image area. The first image area is disposed adjacent to the second image area. The first image area is an image area including a mixed color image of a first primary color and a second primary color and has the same gradation value in a main scanning direction. The second image area is an image area of the second primary color and has the same gradation value in the main scanning direction. The control unit corrects a correction table based on the test image formed in the image forming unit. In the correction table, for each primary color, the gradation value is corrected according to a position in the main scanning direction.

Instead of using a single LUT to model a processing function, it is proposed to use another smaller LUT, i.e. an iterative LUT, such that, when applied at least two times in succession to data to process, the same processing function is modeled with at least the same accuracy. A specific way to compute this iterative LUT is given. Specific applications are given in the field of color processing. Modeling is more accurate and/or less bins are needed to model complex functions.

An image forming apparatus includes an image forming unit and a control unit. The image forming unit forms a test image based on test image data. The test image data includes a first image area and a second image area. The first image area is disposed adjacent to the second image area. The first image area is an image area including a mixed color image of a first primary color and a second primary color and has the same gradation value in a main scanning direction. The second image area is an image area of the second primary color and has the same gradation value in the main scanning direction. The control unit corrects a correction table based on the test image formed in the image forming unit. In the correction table, for each primary color, the gradation value is corrected according to a position in the main scanning direction.

An image processing apparatus includes an image forming device, a reading device, and circuitry. The image forming device is configured to form a first pattern on a recording medium. The first pattern includes a plurality of patches in a plurality of tones. The reading device is configured to read the first pattern. The circuitry is configured to acquire read data of the first pattern from the reading device. The read data includes red, green, and blue (RGB) color space values. The circuitry is further configured to: correct the read data based on information indicating a relationship between a color and a position in the first pattern to reduce variation in readings due to a read position of the first pattern; convert the read data corrected into device-independent data; and adjust a color reproduction characteristic of the image forming device based on the device-independent data.