A printing system is disclosed. The printing system includes at least one physical memory device to store calibration logic and one or more processors coupled with the at least one physical memory device to execute the calibration logic to perform uniformity compensation, including receiving print image measurement data corresponding to primary color markings and secondary color markings printed by pel forming elements, wherein each of the pel forming elements is associated with one of a plurality of primary colors, generating a first set of transfer functions, wherein the first set of transfer functions include a transfer function for each of the pel forming elements associated with a primary color, generating a second set of transfer functions, wherein the second set of transfer functions include transfer functions for each of the pel forming elements associated with a plurality of secondary colors and generating a set of uniformity compensated transfer functions, wherein the set of uniformity compensated transfer functions include a transfer function for each of the pel forming elements based on the first set of transfer functions and the corresponding second set of transfer functions.

An image forming apparatus includes an image forming unit configured to form an image on a sheet; an image processing unit configured to perform processing, which comprises correction of color misregistration, on image data for controlling the image forming unit to form the image; and a controller configured to instruct the image forming unit to perform calibration in a case where a component of the image forming unit is replaced. The image forming unit includes a storage unit, and is configured to acquire correction information to be used for the correction of color misregistration in the calibration to store the correction information in the storage unit, and the image processing unit includes a memory configured to store first image data, which is the image data before being processed, and second image data, which is obtained by compressing the image data after being processed.

An image forming apparatus includes an image forming unit configured to form an image on a sheet; an image processing unit configured to perform processing, which comprises correction of color misregistration, on image data for controlling the image forming unit to form the image; and a controller configured to instruct the image forming unit to perform calibration in a case where a component of the image forming unit is replaced. The image forming unit includes a storage unit, and is configured to acquire correction information to be used for the correction of color misregistration in the calibration to store the correction information in the storage unit, and the image processing unit includes a memory configured to store first image data, which is the image data before being processed, and second image data, which is obtained by compressing the image data after being processed.

An image processing method is disclosed. The method includes receiving information relating to a print component to be used to print a target image; determining, based on the received information relating to the print component, half-toning parameters to be applied when generating a half-tone representation of the target image; and generating, using the determined half-toning parameters, a half-tone representation of the target image. An apparatus and a machine-readable medium are also disclosed.

An image processing method is disclosed. The method includes receiving information relating to a print component to be used to print a target image; determining, based on the received information relating to the print component, half-toning parameters to be applied when generating a half-tone representation of the target image; and generating, using the determined half-toning parameters, a half-tone representation of the target image. An apparatus and a machine-readable medium are also disclosed.

In an example, a method includes accessing an initial prediction of a granularity metric for a halftone pattern. A correction factor to apply to the initial prediction may be determined, the correction factor being determined from a correction factor model defining a relationship between initial predictions of granularity metrics and human perceptions of granularity. The method may further include generating, using processing circuitry, a revised prediction of the granularity metric for the halftone pattern using the correction factor.

Provided is a magnetic tape in which ferromagnetic powder included in a magnetic layer is ferromagnetic hexagonal ferrite powder having an activation volume equal to or smaller than 1,600 nm.sup.3, the magnetic layer includes one or more components selected from the group consisting of fatty acid and fatty acid amide, and an abrasive, a C—H derived C concentration calculated from a C—H peak area ratio of C1s spectra obtained by X-ray photoelectron spectroscopic analysis performed on the surface of the magnetic layer at a photoelectron take-off angle of 10 degrees is equal to or greater than 45 atom %, and a tilt cos θ of the ferromagnetic hexagonal ferrite powder with respect to the surface of the magnetic layer acquired by cross section observation performed by using a scanning transmission electron microscope is 0.85 to 1.00.

Certain examples described herein provide a representation of a three-dimensional object for production of said object. These examples use a material volume coverage representation that is generated from received object data, such as a vector object representation. The material volume coverage representation includes material volume coverage vectors for at least volumes forming part of a raster representation of the three-dimensional object. The raster representation is generated from the vector representation. Each material volume coverage vector represents a probabilistic distribution of materials available to the apparatus for production of the three-dimensional object and combinations of said materials.

Certain examples described herein provide a representation of a three-dimensional object for production of said object. These examples use a material volume coverage representation that is generated from received object data, such as a vector object representation. The material volume coverage representation includes material volume coverage vectors for at least volumes forming part of a raster representation of the three-dimensional object. The raster representation is generated from the vector representation. Each material volume coverage vector represents a probabilistic distribution of materials available to the apparatus for production of the three-dimensional object and combinations of said materials.

Certain examples described herein relate to a three-dimensional threshold matrix. The three-dimensional threshold matrix may be used for three-dimensional halftoning. In one example, values for a predefined two-dimensional threshold matrix are shifted with respect to a third dimension to provide the three-dimensional threshold matrix. In one example, the three-dimensional threshold matrix may then be processed in association with a digital representation of a three-dimensional object to output discrete material arrangement instructions for at least one production material. The instructions may be used to control an additive manufacturing system to produce the three-dimensional object.