Abstract:
According to one example, there is provided a printing system. The printing system comprises a support having a plurality of spaced apertures and a colour sensor moveable to measure light from each aperture. The printing system further comprises a controller to control the colour sensor to measure characteristics of light emitted through each aperture, and to determine, for each aperture, light calibration data.
Abstract:
One example includes a printer (110) having a calculator (120) to determine plot density of a printer content page (130). A controller (140) is provided to set a print parameter based on the determined plot density for the printer content page (130) to mitigate dry time for a printed output page (150).
Abstract:
Image processing transforms input multi-level image data into output image data having a smaller number of levels (the input and output image data represents images formed of cells). The image processing distributes quantization error of a target cell of the image to neighbor cells in proportions determined by a set of weights. The distribution excludes neighbor cells whose data level is less than a threshold value from receiving distributed quantization error, or allows just a fraction of the quantization error to be distributed to such neighbor cells.
Abstract:
A printer and a method of processing an image (1) to be printed with a printer which has a printing unit arranged to produce a printout from image-representing print data of the image, and a processing unit for processing image-representing input data of the image so as to generate the image-representing print data. The processing unit is arranged for separating the image into a line detail sub-image (20) containing edge and line details, and an area detail sub-image (25) containing area details, performing a first printing mode processing pipeline on the line detail sub-image and performing a second, different printing mode processing pipeline on the area detail sub-image, and generating multi-layer print mask data, wherein at least one print mask data layer is usable to print the line detail sub-image in at least one line detail print pass, and the remaining, i.e. at least one of the print mask data layers being used to print the area detail sub-image in at least one area detail print pass to produce an image (50) which has optimized image quality.
Abstract:
According to one example, there is provided a printing system. The printing system comprises a support having a plurality of spaced apertures and a colour sensor moveable to measure light from each aperture. The printing system further comprises a controller to control the colour sensor to measure characteristics of light emitted through each aperture, and to determine, for each aperture, light calibration data.
Abstract:
Example implementations relate to random wave mask generation. Some examples may distribute data points in a mask area based on a probability density function. The probability density function may have a maximum probability density located at a first edge and a second edge of the mask area. Some examples may also identify a wave curve that fits the data points. The wave curve may include oscillating waveforms of varying amplitudes. Some examples may also generate a random wave mask based on the wave curve.
Abstract:
As one example, a printer includes a density calculator to determine a content density of data on page to be printed and a controller. In that example, the controller may perform operations to determine a dry time for a swath of the page to be printed based on the content density and an environmental variable and adjust a parameter for the page to be printed to mitigate a drying time of the page to be printed based on the dry time determined for the swath.
Abstract:
According to one example, there is provided a printing system. The printing system comprises a support having a plurality of spaced apertures and a colour sensor moveable to measure light from each aperture. The printing system further comprises a controller to control the colour sensor to measure characteristics of light emitted through each aperture, and to determine, for each aperture, light calibration data.
Abstract:
Example implementations relate to random wave mask generation. Some examples may distribute data points in a mask area based on a probability density function. The probability density function may have a maximum probability density located at a first edge and a second edge of the mask area. Some examples may also identify a wave curve that fits the data points. The wave curve may include oscillating waveforms of varying amplitudes. Some examples may also generate a random wave mask based on the wave curve.
Abstract:
According to an example, a calibration method may calculate a printhead distribution. The method may comprise printing a calibration pattern, detecting darkness values from the calibration pattern, assigning a darkness level to a plurality of printheads based on the darkness values, and calculating through a processor the printhead distribution that minimizes a variation of the darkness levels across the plurality of printheads.