The present invention relates generally to a method of generating alignment data for printheads. It has been developed primarily for electronically correcting misalignments in multiple printheads containing multiple print chips.
Pagewide printing dramatically increases print speeds compared to traditional scanning printheads. The Applicant has developed many different types of pagewide printers employing fixed printheads or print modules. For example, US 2017/0313061 (the contents of which are incorporated herein by reference) describes a printing system having multiple monochrome pagewide print bars, each print bar having a staggered overlapping array of monochrome printheads (“print modules”). Each printhead itself typically contains multiple print chips, which may be butted together, as described in, for example, U.S. Pat. No. 9,950,527 (the contents of which are incorporated herein by reference) or arranged in a staggered overlapping array, as described in, for example, U.S. Pat. No. 8,662,636 (the contents of which are incorporated herein by reference).
A problem in any printing system is misalignment of nozzles across the length of the printhead. Ideally, all nozzles are positioned in a perfect linear row across a media feed path (nominally an x-axis) and have a consistent separation along a media feed direction (nominally a y-axis) for perfect dot-on-dot printing. In practice, however, all printheads suffer, at least to some extent, from nozzle misalignments, which affect print quality. Misalignments are a perennial problem in pagewide printing systems using elongate high-resolution printheads. Even in single printhead systems, printheads may warp or bow along their length due to thermal expansion. Additionally, the printhead may be skewed relative to the media feed path, especially in printing systems having replaceable printheads. Furthermore, individual print chips within a printhead may be misplaced (e.g. skewed) during printhead fabrication resulting in nozzle misalignments.
Misalignment problems are exacerbated further in modular printing systems having overlapping print modules (e.g. US 2017/0313061). Overlapping print modules must be electronically stitched together to produce single rows of print, and nozzle misalignments in overlapping regions typically cause a visible reduction in print quality—manifested as either a dark or light strip down the page.
Misalignment problems are also exacerbated in modular printing systems having multiple monochrome printheads aligned along the media feed direction (e.g. US 2017/0313061 and US 2012/0092405, the contents of which are incorporated herein by reference). Monochrome printheads require a known spacing in order to achieve dot-on-dot printing and misalignments between the printheads (e.g. skewed printheads relative to a nominal reference printhead) inevitably causes a reduction in print quality.
Efforts to compensate for nozzle misalignments generally fall into two categories: mechanical alignment and electronic alignment. Mechanical alignment requires mechanically adjusting the physical position of each printhead (or print chip) to compensate for skew or other positioning errors. Mechanical alignment techniques have the advantage of permanent compensation at the factory but are less suitable for correcting alignment errors which occur in the field (e.g. during printhead replacement, during printhead maintenance cycles, warpage resulting from thermal expansion, change of print media etc.). On the other hand, electronic alignment adjusts the timings of nozzle firing to compensate for nozzle misalignments. Electronic alignment techniques have the advantages of correcting alignment errors in situ (e.g. after replacing a printhead, after a maintenance cycle, between different print jobs etc.) together with simpler, less expensive mechanical arrangements for mounting printheads and/or print chips.
Whichever method is used for compensating nozzle misalignments, alignment data must be generated in order to perform the appropriate compensation. Most printers print calibration patterns in order to generate the necessary alignment data and compensate for nozzle misalignments. Typically, calibration patterns use a series of horizontal and vertical printed lines to generate alignment data. For example, US 2012/0092405 prints a 2D Vernier calibration map to determine vertical and horizontal misalignments of printheads relative to a reference printhead via analysis of interference patterns.
There are several problems with prior art calibration patterns used for generating alignment data for high-resolution pagewide printheads. Firstly, optical scanners typically operate at an imaging resolution that is less than the printhead resolution. For example, an off-the-shelf flatbed scanner or inline optical sensor may have an imaging resolution of about 300 dpi, whereas a MEMS pagewide printhead typically has a native printing resolution of 800 dpi or more (e.g. 1600 dpi for a Memjet® printhead). Although some commercial scanners operate at higher resolutions, such scanners are expensive and, moreover, the amount of data generated becomes impractical in terms of the bandwidth required to transfer image data, and the time required to process the data. On the other hand, scanning at lower resolutions (e.g. 300 dpi) is not suitable for analyzing prior art calibration patterns at a resolution sufficient to optimize compensation of nozzle misalignments (either via mechanical or electronic compensation techniques).
Another problem with line-based prior art calibration patterns is that they are subject to rotational errors during optical scanning. Ideally, calibration patterns should be rotationally invariant enabling compensation for nozzle misalignments, even in the presence of skew errors in the imaging process.
A further problem with line-based prior art calibration patterns is that they generate a relatively small amount of alignment data per page. Typically, many pages of calibration patterns are required to generate a sufficient amount of alignment data, which is cumbersome in terms of both the printing and scanning required for each page.
A further problem with line-based calibration patterns is that they are susceptible to noise errors, either via dot spreading (“dot gain”) during printing of the pattern and/or during the optical scanning process (e.g. as a result of non-uniformities in the glass bed of a flatbed scanner). Such noise errors inevitably reduce the accuracy of any subsequent compensation techniques used to improve print quality.
It would therefore be desirable to provide a method of generating alignment data suitable for high-resolution printheads, which addresses at least some of the above-mentioned problems associated with prior art methods.
In a first aspect, there is provided a method of generating alignment data for at least one printhead, the method comprising the steps of:
printing a calibration pattern onto a print medium using the printhead, the calibration pattern comprising one or more rows of spaced apart fiducials, each fiducial comprising a plurality of concentric shapes representing a code sequence;
imaging the fiducials at a first resolution to generate imaged fiducials;
cross-correlating a template fiducial with the imaged fiducials at a plurality of different displacements relative to each imaged fiducial, the template fiducial having a configuration matching the imaged fiducials;
determining a two-dimensional set of cross-correlation values for each imaged fiducial, each set of cross-correlation values indicating a center of a respective fiducial; and
generating alignment data for the printhead using the sets of cross-correlation values.
As used herein, the term “printhead” means any printing device, including inkjet and laser printing devices. For example, the printhead may be an inkjet printing comprising a plurality of MEMS print chips mounted to a carrier substrate. Each printhead may comprise and array of butting or overlapping rows of print chips. Typically, the printhead is one of an array of printheads (or “print modules”), which may be overlapped to provide a printing width wider than one printhead. Additionally or alternatively, the printhead is one of any array of printheads aligned along a media feed direction for printing a same or different colored inks.
The method according to the first aspect advantageously employs two-dimensional concentric shapes as fiducials to generate alignment data. Concentric shapes are rotationally invariant; therefore, alignment data generated from the fiducials are not affected by any unintended skew in an optical imaging process—each fiducial provides a rotationally invariant location identifying the centerpoint of a respective fiducial. Preferably, the concentric shapes are circular (e.g. annuli), although it will be appreciated that other concentric shapes (e.g. polygons) may also be used.
In the method according to the first aspect, cross-correlation of a template fiducial (“kernel”) with each printed fiducial at a plurality of different displacements yields a large set of data, which can be manipulated to provide an accurate centerpoint location for each fiducial. Preferably, the template fiducial (“kernel”) is constructed virtually at a high resolution relative to the imaging resolution (e.g. a resolution matching the print resolution) and then low-pass filtered so as to simulate, as far as possible, the natural smearing or blurring of edges of the imaged fiducials through the printing and imaging process. Thus, low-pass filtering of the template fiducial optimizes the subsequent cross-correlation process.
Preferably, alignment data is generated by interpolating sets of cross-correlation values to generate rows of fiducial locations at a higher resolution than the imaging resolution. Thus, imaging at a relatively low resolution using, for example, an off-the-shelf flatbed scanner may be used to generate alignment data at an accuracy suitable for a relatively high resolution printhead, such as a Memjet® printhead.
A further advantage of the method according to the first aspect is that the effects of noise may be reduced through careful choice of a code sequence represented by the concentric shapes. In particular, code sequences having low cross-correlation characteristics are highly suitable for generating the alignment data, even in the presence of noise. Preferably, the code sequence is a Barker code, although other code sequences having low cross-correlation characteristics are equally suitable.
Preferably, the code sequence contains a sequence of N code values, each code value being represented by a presence or absence of an annulus at a predetermined distance from a center of the fiducial, wherein N is an integer from 3 to 20. More preferably, the code sequence is the Barker code: [+1, +1, +1, +1, +1, −1, −1, +1, +1, −1, +1, −1, +1]. Preferably, the code value +1 is represented by an absence of an annulus, and the code value −1 is represented by the presence of an annulus. Each concentric annulus necessarily has an increasing diameter away from the center of the fiducial, and neighboring annuli may be contiguous. It will be further appreciated that each annulus has a ring-width (defined by R−r, wherein R is an outer radius radius and r is an inner radius of the annulus) suitable for detection at the resolution of the imaging device. For example, the ring-width of each annulus may be at least 25 microns, 50 microns, at least 75 microns or at least 100 microns in order to be imageable by a conventional flatbed scanner.
Although the present invention has been developed for use with imaging systems having a relatively low resolution compared to the printhead resolution, it will of course be appreciated that the present invention may still be used with images captured at any imaging resolution. For example, the imaging resolution may be in the range of 250 to 5000 dpi, 250 to 1000 dpi or 250 to 800 dpi. Preferably, the imaging resolution is less than about 800 dpi in order to minimize equipment costs, data size, data transfer bandwidth and processing times.
Alignment data may be further optimized by using a second interpolation (e.g. bicubic interpolation) of the rows of locations provided by the first interpolation of the sets of cross-correlations values. Typically, each printhead may print, for example, 10-100 fiducials in one row providing a corresponding number of locations for use in generating alignment data. However, interpolation of the fiducial locations may be used to generate an interpolated polynomial curve (e.g. cubic spline curve), which may then be used to extract a greater number of alignment values, relative to the number of fiducials, from the interpolated curve. By using a large number of alignment values along the printhead, electronic compensation for nozzle misalignments can provide optimized print quality by avoiding large step changes in nozzle firing timing along the length of the printhead.
Typically, each linear inch of the printhead is divided into 10-100 sections, 20-80 sections or 40-60 sections for electronic compensation of nozzle firing timing, with each section having a respective alignment value that may be the same or different from an alignment value corresponding to a neighboring section.
It will be appreciated that the above-mentioned interpolation techniques for generating alignment data are high suitable for electronic compensation of nozzle misalignments by adjusting a timing of nozzle firings within nominal sections of the printhead, which generally do not correspond to mechanically adjustable sections of the printhead. For example, each print chip within one printhead may be divided into, for example, 10-100 sections for the purposes of electronic compensation, whilst only printing, for example, 2-8 fiducials (e.g. 4 fiducials) per print chip.
Preferably, each print chip of the printhead additionally prints an identification code, such as a 2D barcode (e.g. QR code) identifying, inter alia, a respective print chip of the printhead. The identification codes may be printed as a header or a footer of the calibration pattern. Typically, each identification code contains other information useful for subsequent decoding, such as pattern identification, print x resolution, print y resolution, print bars in use, print bar order, reference print bar, printhead identification, page identification, fiducials per print chip, fiducial column width, fiducial row height, fiducial radius, number of rows etc. Redundancy across the printed identification codes enables data to be inferred and the calibration pattern to be decoded, even if one or more identification codes cannot be decoded.
In a second aspect, there is provided a print medium having a calibration pattern printed thereon for generating alignment data for a printhead, the calibration pattern comprising one or more rows of spaced apart fiducials, each fiducial comprising a plurality of concentric shapes representing a Barker code.
In a third aspect, there is provided a processor for generating alignment data for at least one printhead, the processor being configured to perform the steps of:
receiving imaged fiducials at a first resolution, each imaged fiducial comprising a plurality of concentric shapes representing a code sequence;
cross-correlating a template fiducial with the imaged fiducials at a plurality of different displacements relative to each imaged fiducial, the template fiducial having a configuration matching the imaged fiducials;
determining a two-dimensional set of cross-correlation values for each imaged fiducial, each set of cross-correlation values indicating a center of a respective fiducial; and
generating alignment data for the printhead using the sets of cross-correlation values.
It will, of course be appreciated that preferred embodiments described in respect of the first aspect will be equally applicable to the second and third aspects, where relevant.
Although the present invention has been developed for use with inkjet printheads, it will be appreciated that the methods, patterns and processors described herein are equally suitable for generating alignment data for other types of printers (e.g. laser printers).
One or more embodiments of the present invention will now be described with reference to the drawings, in which:
Referring to
In each printhead 104, multiple print chips are arranged to provide seamless printing along a length of the printhead. For example, a Memjet® A4 printhead (as described in U.S. Pat. No. 9,950,527, the contents of which are incorporated herein by reference) contains eleven print chips 108, which are butted together in a single row to provide seamless pagewide printing.
As foreshadowed above, good nozzle alignment is a key requirement for achieving high print quality in pagewide printing systems. However, in the modular printer 100 shown in
Returning to
As shown in
A header portion of the calibration pattern comprises a row of identification codes in the form of 2D barcodes 7 (e.g. QR codes as shown in
Each print chip 108 of each printhead 104 prints four fiducials 3, grouped in fiducial sets 9 of the calibration pattern 1, with the exception of those print chips in the stitch region 106, which print only three fiducials each. The black print bar 102a serves as a reference print bar and prints the first two rows of fiducials 5a and 5b, followed by the cyan print bar 102b printing the next two rows of fiducials 5c and 5d. In summary, the fiducial rows 5 follow the sequence: black-black-cyan-cyan-black-black-magenta-magenta-black-black-yellow-yellow and is repeated down the page. In other words, the black fiducial printed by the reference print bar 102a interleave each of the colored (CMY) fiducials, enabling alignment of each print bar relative to the reference print bar.
Advantageously, each individual fiducial configuration enables accurate fiducial locations to be determined via optical imaging and decoding, despite the fiducials themselves being relatively large. Referring to
As seen in
Thus, the use of concentric Barker codes and cross-correlation with a template fiducial 40 means that processing of the calibration pattern 1 is relatively unaffected by noise, as well as being rotationally invariant for the purposes of imaging. In practice, cross-correlation is performed in the frequency domain in order to simplify the required computational analysis and provide a large set of cross-correlation values for each imaged fiducial 3.
As shown in
An advantage of interpolating the fiducial locations along each row 5 in the calibration pattern 1 is that a greater number of alignment values can be generated by sampling the resultant smooth interpolated curve at predetermined intervals in order to improve further the accuracy of misalignment compensation. For example, in a Memjet® print chip of length 20.2 mm containing 1280 nozzles per row, each nozzle row may be divided into 40 sections with each section containing 32 pixels (nozzles). Thus, an alignment value is assigned to each of the 40 sections per print chip (i.e. about 50 sections per inch of printhead), with each alignment value being extracted from the interpolated curve representing the overall warpage of a printhead 104 and/or a print bar 102. A further advantage of assigning an alignment value to a relatively small group of nozzles in each print chip 108 is that large step changes in firing timings are avoided during nozzle misalignment compensation. For example, changes in firing timings may be limited to +1 or −1 timing units between neighboring sections (e.g. 1 timing unit=1 row firing time). By avoiding large step changes in firing timings along a length of the printhead 104 or print bar 102, further optimization of print quality may be achieved.
Returning to
In addition, column-wise analysis of fiducials 3 printed from the same print bar (e.g. reference print bar 102a) may be used to provide additional alignment data for subsequent processing and compensation.
In summary, it will be appreciated that the calibration pattern 1 and the methods described herein may be used to generate a large amount of alignment data, which can be manipulated to enable compensation of nozzle misalignments in a modular two-dimensional array of printheads 104, such as the modular printing system 100 shown in
The foregoing describes only some embodiments of the present invention, and modifications of detail may be made thereto without departing from the scope of the invention, the embodiments being illustrative and not restrictive.
This application claims the benefit of U.S. Provisional Application No. 62/790,883, filed Jan. 10, 2019, entitled METHOD OF GENERATING ALIGNMENT DATA FOR PRINTHEADS, which is incorporated herein in its entirety.
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