Abstract:
A pixel source for a visual presentation is disclosed. The pixel source can include a light source, a large gamut pixel, a subtractive mask, and a control input to control the subtractive mask. A display device is also disclosed comprising a light source array with a large gamut pixel array and subtractive mask array disposed thereon. In operation, wide-band light emitted from each light source can be modulated by each large gamut pixel to output a plurality of primary colors. Each subtractive mask can be controlled to block, partially transmit, or fully transmit any number of the outputted primary colors to produce color points that can be interpolated and half-toned to output a large gamut of secondaries for each pixel.
Abstract:
An example computer-implemented method of generating a pattern of thresholds for halftone printing of an image is disclosed. The halftone pattern is generated by an analytical computation of threshold values in-situ using a quasicrystal function. Each halftone pattern produced is non-periodic yet possesses ordered character where the pattern does not line up perfectly with a shifted copy of itself. The generation of such halftone patterns is suited to applications where a single halftone threshold value may be used per pixel.
Abstract:
A method for generating a print mapping and a method for image processing are described. The print mapping comprises obtaining spectral characteristics for printing fluids and determining reflectance values for computing a gamut in spectral space. The gamut provides a mapping of reflectance to Neugebauer Primary area coverages for a printing device.
Abstract:
Certain examples relate to a method of a method of printing an image which comprises determining image data for an image to be printed onto a substrate, the image data comprising application amounts of one or more colorants to be applied to the substrate. A print mode is determined for applying the colorants to the substrate and comprises a plurality of application passes each for applying some of the application amounts of the colorants to the substrate and a drying delay between at least some of the application passes. The duration of the drying delay is dependent on a characteristic of one or more of the colorants or substrate. The image is printed using the image data and the print mode.
Abstract:
In an example, a method includes determining, using processing circuitry, a first print coverage vector associated with an estimated colorimetry which corresponds to a target colorimetry, wherein the estimated colorimetry of the print coverage vector is based on a first color model, the first print coverage vector being optimised relative to a first metric. The method may further include determining, using processing circuitry, a predicted colorimetry of the first print coverage vector based on a second color model.
Abstract:
A method is described in which a reflection is obtained of a laser light pattern reflected from a substrate. A reflection of diffuse light may be obtained from the substrate. A first parameter may be determined, relating to the substrate from the reflected laser light pattern. A second parameter may be determined, relating to the substrate from the reflected diffuse light and a characteristic of the substrate may be determined from the first and second parameters. A print apparatus and a machine-readable medium are also disclosed.
Abstract:
Certain examples described herein relate to mapping between an input color space and an output color space. In some cases, data representing a set of candidate output color values in the output color space is obtained for a transition region between two input color values in the input color space. A sub-region of the transition region is defined, the sub-region being associated with a target colorimetry and a target value of a metric. An output color value is selected from the set of candidate output color values. The output value has an associated value of the metric and an associated colorimetry. The selecting is based on the associated colorimetry and the target colorimetry, and the value of the metric and the target value of the metric. In some cases, mapping data is generated by assigning the selected output color value to the sub-region.
Abstract:
In an example implementation, a method of multiple dispense technology 3D printing includes receiving digital model data representing an object. The method includes formatting the data into an Mvec (material vector) specification that includes an Mvec to specify a material component of a voxel. The Mvec can have an associated dispense technology (DT) index to identify one of multiple available dispense technologies for dispensing the material component.
Abstract:
A method is described in which data representing a three-dimensional object to be printed is obtained. The data comprises sub-volumes representing the three-dimensional object. A characteristic for the three-dimensional object to be printed is identified. Based on the identified characteristic, property data is set for individual sub-volumes to be used in printing the three-dimensional object. The identified characteristic is a function of the property data. The property data comprises material property data, structural property data and printing property data.
Abstract:
Certain examples described herein relate to producing three-dimensional objects using additive manufacturing systems. These examples combine the use of material volume coverage vectors to define object data with octree data structures and models for tracking material placement error and available volumes. Material volume coverage vectors correspond to a volumes of three-dimensional objects and define a probabilistic distribution of materials available to an additive manufacturing system including combinations of said materials. In certain examples, a bottom level of the error tracking octree model is constructed to contain at least a portion of the data values for a set of obtained material volume coverage vectors. This is then used in an error distribution process to generate manufacturing control data for the additive manufacturing system.