JP2006015596A - Method for setting correction value for correcting density of image - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To enhance the accuracy of a correction value for correcting the density of an image. <P>SOLUTION: In this correction-value setting method, the correction value H for correcting the density of the image is set by reading the density of a printed test pattern (pattern CPm for correction) by means of a pattern reading part (reading carriage 104) moving in a predetermined direction. The setting method comprises: a printing step (S121) of printing the test pattern; density data acquiring steps (S122 and S123b) of acquiring density data by reading the test pattern and a colorless area (ground color area m0) with no printed test pattern by means of the pattern reading part; density data correcting steps (S123c and S123d) for correcting the data on the density of the test pattern in accordance with data on the density of the colorless area; and a correction value setting step (S124) for setting the correction value, in accordance with the corrected data on the density of the test pattern. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a correction value setting method for setting a correction value for correcting the density of a printed image based on the density of a test pattern.

  As an apparatus for printing an image, an ink jet printer (hereinafter simply referred to as a printer) that forms dots by ejecting ink onto a medium (paper, cloth, OHP sheet, etc.) is known. For example, this printer performs a dot forming operation of forming dots on a medium by ejecting ink while moving a plurality of nozzles in a predetermined direction. By this dot forming operation, a raster line composed of a plurality of dots along the moving direction of the nozzle is printed on the medium. In addition, the printer performs a transport operation for transporting the medium in a crossing direction (hereinafter, also referred to as a transporting direction) that intersects the moving direction of the nozzles by the transporting unit. When these dot forming operation and transport operation are repeated, a plurality of raster lines are printed on the medium in a state adjacent to the transport direction.

In this type of printer, ink droplet ejection characteristics such as the amount of ink droplets and flight direction vary from nozzle to nozzle. This variation in jetting characteristics is undesirable because it causes density unevenness in the printed image. In this regard, in the conventional method, a correction value is set for each nozzle, and the amount of ink is adjusted based on the set correction value (see, for example, Patent Document 1). That is, the density of a printed test pattern is read by a density reading device, and a correction value is set for each nozzle based on the obtained density data.
Japanese Patent Laid-Open No. 2-54676 (2nd page, FIG. 4)

  By the way, in the conventional method, depending on the reading unevenness in the density reading device, specifically, the position of the reading unit (pattern reading unit) included in the density reading device, the pattern density is read darker than the normal value, No consideration is given to reading unevenness that is thinly read. If this uneven reading occurs, the accuracy of the correction value may be impaired. In particular, modern printers can print images with extremely high resolution. Therefore, it is required to reduce the influence of the reading unevenness as much as possible.

  The present invention has been made in view of such problems, and an object thereof is to increase the accuracy of correction values.

A main invention is a correction value setting method for setting a correction value for reading the density of a printed test pattern by a pattern reading unit moving in a predetermined direction and correcting the density of an image,
A printing step for printing the test pattern;
A density data acquisition step of acquiring density data by reading the test pattern and a colorless portion on which the test pattern is not printed by the pattern reading unit;
A density data correction step for correcting the density data of the test pattern based on the density data of the colorless portion,
A correction value setting step for setting the correction value based on the corrected density data of the test pattern;
Is a correction value setting method.

  Other features of the present invention will become apparent from the description of this specification and the accompanying drawings.

=== Summary of disclosure ===
At least the following will be made clear by the description of the present specification and the accompanying drawings.

A correction value setting method for setting a correction value for correcting the density of an image by reading the density of a printed test pattern by a pattern reading unit that moves in a predetermined direction, and printing the test pattern A density data acquisition step of acquiring density data by reading the test pattern and a colorless part on which the test pattern is not printed by the pattern reading unit; and density data of the test pattern based on the density data of the colorless part A correction value setting method comprising: a density data correction step for correcting the correction value; and a correction value setting step for setting the correction value based on the corrected density data of the test pattern.
According to such a correction value setting method, the test pattern density data is corrected based on the density data of the colorless portion, and the correction value is set based on the corrected test pattern density data. Reading unevenness due to the portion can be prevented, and the accuracy of the correction value can be increased.

In this correction value setting method, in the density data correction step, a correction ratio is acquired based on the density data of the colorless portion, and the density data of the test pattern is corrected based on the correction ratio.
According to such a correction value setting method, the density data of the test pattern can be accurately corrected based on the density data of the colorless portion. Thereby, the accuracy of the correction value can be increased.

In this correction value setting method, in the density data acquisition step, the density of the colorless part is read at a plurality of positions in the predetermined direction to obtain a plurality of density data of the colorless part, and the density data correction step Then, based on the average value of the acquired density data of the colorless portion and the density data of the colorless portion at a predetermined position, the correction ratio at the predetermined position is acquired, and based on the acquired correction ratio, Correct the test pattern density data.
According to such a correction value setting method, since the correction ratio is determined for each predetermined position, the density data of the test pattern can be corrected with higher accuracy. Thereby, the accuracy of the correction value can be further increased.

In this correction value setting method, the test pattern is printed in the predetermined direction with a predetermined density command value.
According to such a correction value setting method, since the test pattern with the predetermined density command value is printed along the moving direction of the pattern reading unit, the density of the test pattern can be read with high accuracy. Thereby, the accuracy of the correction value can be increased.

In this correction value setting method, a plurality of sub-patterns arranged in other predetermined directions intersecting the predetermined direction are printed in the predetermined direction with a density command value determined for each of the test patterns. In the density data acquisition step, the density data of the test pattern is acquired for each sub pattern, and in the density data correction step, the density data of the test pattern is corrected for each sub pattern. thing.
According to such a correction value setting method, the acquired density data is corrected for each of the sub-patterns. As a result, the accuracy of density data corresponding to each sub-pattern can be increased, and as a result, the accuracy of correction values can be increased.

In this correction value setting method, in the correction value setting step, the correction value is set for each sub-pattern.
According to such a correction value setting method, the correction value is set for each sub-pattern, so that the density correction of the image can be finely performed and a high-quality image can be printed.

In this correction value setting method, the image is printed for each unit area adjacent in the predetermined direction, and in the density data correction step, the density data of the test pattern is converted for each unit area. In the correction value setting step, the correction value is set for each unit area.
According to such a correction value setting method, the density of a test pattern printed with a predetermined density command value can be accurately read along the movement direction of the pattern reading unit. As a result, the accuracy of each correction value set for each unit region can be increased. Since a correction value is set for each unit area, correction can be performed including a combination of a nozzle in charge of a certain unit area and a nozzle in charge of an adjacent unit area, and a high-quality image can be printed. Can do.

A correction value setting method for setting a correction value for correcting the density of an image by reading the density of a test pattern printed in a predetermined direction with a predetermined density command value by a pattern reading unit moving in the predetermined direction A printing step for printing the test pattern; a density data obtaining step for obtaining density data by reading the test pattern and a colorless portion on which the test pattern is not printed by the pattern reading unit; and the colorless portion. A density data correction step for correcting the density data of the test pattern based on the density data, and a correction value setting step for setting the correction value based on the density data of the corrected test pattern, The image is printed for each unit area adjacent in the predetermined direction, and the test pattern is Is a pattern in which a plurality of sub-patterns arranged in other predetermined directions intersecting with the predetermined direction are printed in the predetermined direction with density command values determined respectively. In the density data acquisition step, The test pattern density data is obtained for each of the sub patterns, and the density of the colorless portion is read at a plurality of positions in the predetermined direction to obtain a plurality of density data of the colorless portion. In the correction step, the correction ratio at the predetermined position is acquired based on the acquired average value of the density data of the colorless part and the density data of the colorless part at the predetermined position, and based on the acquired correction ratio The density data of the test pattern is corrected for each unit area and for each sub-pattern, and in the correction value setting step, the correction value , The unit area per, and set for each of the sub-patterns can be realized a method of setting the correction value.
According to such a correction value setting method, almost all the effects described above can be obtained, and therefore the object of the present invention can be achieved most effectively.

=== Configuration of Printing System ===
Next, an embodiment of a printing system will be described with reference to the drawings.
FIG. 1 is an explanatory diagram showing an external configuration of the printing system 1000.
The printing system 1000 includes a printer 1, a computer 1100, a display device 1200, an input device 1300, and a recording / reproducing device 1400. In this example, the printer 1 and the computer 1100 constitute a printing apparatus. That is, the printer 1 corresponds to a printing apparatus main body, and its operation is controlled by a computer 1100 as a printing control apparatus. The printer 1 prints an image on a medium such as paper, cloth, or film. In addition, regarding this medium, in the following description, a sheet S (see FIG. 9) which is a typical medium will be described as an example. The computer 1100 is communicably connected to the printer 1. In order to cause the printer 1 to print an image, the computer 1100 outputs print data corresponding to the image to the printer 1. The display device 1200 has a display. The display device 1200 displays a user interface such as an application program 1104 or a printer driver 1110 (see FIG. 2). The input device 1300 is, for example, a keyboard 1300A or a mouse 1300B. The recording / reproducing device 1400 is, for example, a flexible disk drive device 1400A or a CD-ROM drive device 1400B.

  A printer driver 1110 is installed in the computer 1100. The printer driver 1110 is a program for realizing a function of converting image data output from the application program 1104 into print data, and includes codes for realizing various functions. The printer driver 1110 is provided in a state where it is recorded on a recording medium (computer-readable recording medium) such as a flexible disk or a CD-ROM. The printer driver 1110 can also be downloaded to the computer 1100 via the Internet.

=== Printer driver ===
<About the printer driver 1110>
FIG. 2 is a schematic explanatory diagram of basic processing performed by the printer driver 1110. In addition, about the component already demonstrated, since the same code | symbol is attached | subjected, description is abbreviate | omitted.

  In the computer 1100, programs such as a video driver 1102, an application program 1104, and a printer driver 1110 are operating under an operating system installed in the computer 1100. The video driver 1102 has a function of causing the display device 1200 to display a user interface, for example, in accordance with a display command from the application program 1104 or the printer driver 1110. The application program 1104 has a function of performing image editing, for example, and creates data related to an image (image data). The user can give an instruction to print an image edited by the application program 1104 via the user interface of the application program 1104. When the application program 1104 receives a print instruction, the application program 1104 outputs image data to the printer driver 1110.

  When the user instructs printing on the user interface of the application program 1104, the printer driver 1110 receives image data from the application program 1104. The printer driver 1110 converts this image data into print data, and outputs the print data to the printer 1. The image data has pixel data as data relating to the pixels of the image to be printed. The pixel data is converted in gradation value and the like according to each processing stage described later. The pixel data is converted into data relating to dots formed on the paper (data such as dot color and size) in the final print data stage. Note that a pixel is a square grid that is virtually defined on a sheet in order to define a position where ink is landed to form a dot. A unit region is formed by a plurality of pixels arranged in the nozzle movement direction (carriage movement direction). This unit area is adjacent to the transport direction that intersects the moving direction of the nozzle. Therefore, it can be said that the image is composed of a plurality of unit images (corresponding to raster lines described later) printed for each unit region.

  The print data is data in a format that can be interpreted by the printer 1 and includes pixel data and various command data. The command data is data for instructing the printer 1 to execute a specific operation, and includes, for example, data for instructing paper feed, data indicating a carry amount, and data for instructing paper discharge. The printer driver 1110 performs resolution conversion processing, color conversion processing, halftone processing, rasterization processing, and the like in order to convert image data output from the application program 1104 into print data. Accordingly, the printer driver 1110, in other words, the computer 1100 in which the printer driver 1110 is installed functions as a print control apparatus and corresponds to a part of the controller. Hereinafter, each process performed by the printer driver 1110 will be described.

  The resolution conversion process is the resolution when printing the image data (text data, image data, etc.) output from the application program 1104 on the paper S (the interval between dots when printing), and is also called the print resolution. ). For example, when the print resolution is specified as 720 × 720 dpi, the image data received from the application program 1104 is converted into image data having a resolution of 720 × 720 dpi. Examples of this conversion method include interpolation and thinning of pixel data. Note that each pixel data in the image data is data having multi-level (for example, 256 levels) gradation values represented by an RGB color space. Hereinafter, the pixel data having RGB gradation values is referred to as RGB pixel data, and image data composed of the RGB pixel data is referred to as RGB image data.

  The color conversion process is a process of converting each RGB pixel data of the RGB image data into data having multi-level (for example, 256 levels) gradation values represented by the CMYK color space. This CMYK is the color of the ink that the printer 1 has. That is, C means cyan. M represents magenta, Y represents yellow, and K represents black. Hereinafter, the pixel data having CMYK gradation values is referred to as CMYK pixel data, and the image data composed of these CMYK pixel data is referred to as CMYK image data. This color conversion processing is performed by the printer driver 1110 referring to a table (color conversion lookup table LUT) in which RGB gradation values and CMYK gradation values are associated with each other.

  The halftone process is a process of converting CMYK pixel data having multi-stage gradation values into CMYK pixel data having small-stage gradation values that can be expressed by the printer 1. For example, CMYK pixel data indicating 256 gradation values is converted into 2-bit CMYK pixel data indicating 4 gradation values by halftone processing. The 2-bit CMYK pixel data includes, for example, “no dot formation” (binary value “00”), “small dot formation” (also “01”), and “medium dot formation” for each color. (Also “10”) and “large dot formation” (also “11”). For such halftone processing, for example, a dither method is used, and 2-bit CMYK pixel data that can be formed by the printer 1 in a dispersed manner is created. The halftone process using the dither method will be described later. Further, the method used for the halftone process is not limited to the dither method, and a γ correction method, an error diffusion method, or the like may be used. In this embodiment, pixel data conversion processing based on the correction value is performed in the halftone processing. The pixel data conversion process based on this correction value will also be described later.

  The rasterizing process is a process for changing the CMYK image data subjected to the halftone process in the order of data to be transferred to the printer 1. The rasterized data is output to the printer 1 as the print data described above.

<About halftone processing by dither method>
Here, the halftone process by the dither method will be described in detail. FIG. 3 is a flowchart for explaining halftone processing by the dither method. The printer driver 1110 (in other words, the computer 1100 on which the printer driver 1110 is installed) executes the following steps according to the flowchart.

  First, in step S300, the printer driver 1110 acquires CMYK image data. This CMYK image data is composed of, for example, image data represented by 256 gradation values for each ink color of cyan, magenta, yellow, and black. That is, the CMYK image data includes cyan image data relating to cyan (C), magenta image data relating to magenta (M), yellow image data relating to yellow (Y), and black image data relating to black (K). These cyan, magenta, yellow, and black image data are respectively composed of cyan, magenta, yellow, and black pixel data indicating the gradation values of the respective ink colors. In the following description, magenta image data will be described on behalf of cyan, magenta, yellow, and black image data.

  The printer driver 1110 executes the processes from step S301 to step S311 for all magenta pixel data in the magenta image data while sequentially changing the magenta pixel data to be processed. Through these processes, the magenta image data is converted into 2-bit data indicating the above-described four levels of gradation values for each magenta pixel data.

  In this conversion process, first, in step 301, the large dot level data LVL is set according to the gradation value of the magenta pixel data to be processed. For this setting, for example, a generation rate table is used. Here, FIG. 4 is a diagram showing a generation rate table used for setting level data for large, medium, and small dots. In the figure, the horizontal axis is the gradation value (0 to 255), the left vertical axis is the dot generation rate (%), and the right vertical axis is the level data. The level data refers to data obtained by converting the dot generation rate into 256 levels from 0 to 255. Here, the “dot generation rate” means the proportion of pixels in which dots are formed among the pixels in a region when a uniform region is reproduced according to a certain gradation value. For example, the dot generation rate at a certain gradation value is 65% large dots, 25% medium dots, and 10% small dots. With this dot generation rate, 10 pixels in the vertical direction and 10 pixels in the horizontal direction. Suppose that the area of 100 pixels is printed. In this case, of the 100 pixels, 65 pixels are formed with large dots, 25 pixels are formed with medium dots, and 10 pixels are formed with small dots. A profile SD indicated by a thin solid line in FIG. 4 indicates a small dot generation rate. A profile MD indicated by a thick solid line indicates a medium dot generation rate, and a profile LD indicated by a broken line indicates a large dot generation rate.

  In step S301, the printer driver 1110 reads level data LVL corresponding to the gradation value from the large dot profile LD. For example, as shown in FIG. 4, if the gradation value of the magenta pixel data to be processed is gr, the level data LVL is obtained as 1d from the intersection with the profile LD. Actually, this profile LD is stored in a memory (not shown) such as a ROM provided in the computer 1100 in the form of a one-dimensional table, for example. Then, the printer driver 1110 obtains level data by referring to this table.

  In step S302, the printer driver 1110 determines whether or not the level data LVL set as described above is larger than the threshold value THL. Here, dot on / off determination is performed by the dither method. The threshold value THL is set to a different value for each pixel block of a so-called dither matrix. In this embodiment, a dither matrix in which values from 0 to 254 appear in a 16 × 16 square pixel block is used. FIG. 5 is a diagram showing an example of dot on / off determination by the dither method. In this example, the printer driver 1110 first compares the level data LVL of each magenta pixel data with the threshold value THL of the pixel block on the dither matrix corresponding to the magenta pixel data. When the level data LVL is larger than the threshold value THL, the dot is turned on (that is, a dot is formed), and when the level data LVL is smaller, the dot is turned off (that is, the dot is changed). Do not form). In the figure, in the dot matrix, the pixel data in the shaded area is magenta pixel data for turning on the dots. That is, in step S302, if the level data LVL is larger than the threshold value THL, the printer driver 1110 proceeds to step S310, otherwise proceeds to step S303.

  If the process proceeds to step S310, the printer driver 1110 records the value “11” in association with magenta pixel data to be processed as pixel data (2 bit data) indicating a large dot, The process proceeds to step S311. In step S311, it is determined whether or not the process has been completed for all magenta pixel data. If the process has been completed, the halftone process is terminated. On the other hand, if not completed, the processing target is moved to unprocessed magenta pixel data, and the process returns to step S301.

  On the other hand, when the processing proceeds to step S303, the printer driver 1110 sets the medium dot level data LVM. The medium dot level data LVM is set by the above-described generation rate table based on the gradation value. The setting method of the medium dot level data LVM is the same as the setting method of the large dot level data LVL. For example, in the example of FIG. 4, the level data LVM corresponding to the gradation value gr is obtained as 2d indicated by the intersection with the profile MD indicating the generation rate of medium dots. If the level data LVM is set in this way, the process proceeds to step S304. In step S304, the medium dot level data LVM and the threshold value THM are compared in size, and medium dot on / off determination is performed. The on / off determination method is the same as that for large dots. Here, in the ON / OFF determination of medium dots, the threshold THM used for the determination is set to a value different from the threshold THL in the case of large dots. This is because if the same dither matrix is used for large dots and medium dots, pixels that are likely to turn off for large dots and medium dots match, and the medium dot generation rate is the desired generation rate. It is because there exists a possibility that it may become lower than this. In order to avoid such a phenomenon, in this embodiment, the dither matrix is changed between large dots and medium dots. Thereby, each dot is formed appropriately.

  6A and 6B are diagrams illustrating a relationship between a dither matrix used for large dot determination and a dither matrix used for medium dot determination. In this embodiment, the first dither matrix TM of FIG. 6A is used for large dots. For medium dots, the second dither matrix UM in FIG. 6B is used. This second dither matrix UM is obtained by moving each threshold value in the first dither matrix TM symmetrically with the center in the transport direction (corresponding to the vertical direction in the figure) as the center. In the present embodiment, a 16 × 16 matrix is used as described above, but for convenience of illustration, FIG. 6 shows a 4 × 4 matrix. Also, dither matrices that are completely different for large dots and medium dots may be used.

  If the medium dot level data LVM is larger than the medium dot threshold value THM in step S304, the printer driver 1110 determines that the medium dot should be turned on, and proceeds to step S309. Advances to step S305. If the process proceeds to step S309, the printer driver 1110 records the magenta pixel data to be processed in association with pixel data “10” indicating a medium dot, and the process proceeds to step S311. In step S311, processing similar to the processing described above is performed.

  When the process proceeds to step S305, the printer driver 1110 sets the level data LVS for small dots in the same manner as the level data settings for large dots and medium dots. The dither matrix for small dots is preferably different from that for medium dots and large dots as described above in order to prevent a decrease in the generation rate of small dots. In step S306, the printer driver 1110 compares the level data LVS with the small dot threshold THS. If the level data LVS is larger than the small dot threshold THS, the printer driver 1110 proceeds to step S308, otherwise. Then, the process proceeds to step S307. If the process proceeds to step S308, pixel data “01” indicating a small dot is recorded in association with the magenta pixel data to be processed, and the process proceeds to step S311. On the other hand, when the process proceeds to step S307, the printer driver 1110 records the magenta pixel data to be processed in association with the pixel data “00” indicating no dot, and the process proceeds to step S311. In step S311, processing similar to that described above is performed.

<Settings of Printer Driver 1110>
FIG. 7 is an explanatory diagram of a user interface of the printer driver 1110. The user interface of the printer driver 1110 is displayed on the display device 1200 via the video driver 1102. A user can make various settings of the printer driver 1110 using the input device 1300. As basic settings, settings of margin form mode and image quality mode are prepared, and as paper settings, settings of paper size mode and the like are prepared. Then, the printer driver 1110 recognizes the print resolution, the paper size, and the like based on the setting by the user interface.

=== Printer ===
<About the configuration of the printer 1>
FIG. 8 is a block diagram of the overall configuration of the printer 1 of the present embodiment. FIG. 9 is a schematic diagram of the overall configuration of the printer 1 of the present embodiment. FIG. 10 is a cross-sectional view of the overall configuration of the printer 1 of the present embodiment. FIG. 11 is a diagram illustrating the arrangement of the nozzles Nz on the lower surface of the head 41. Hereinafter, the basic configuration of the printer 1 of the present embodiment will be described with reference to these drawings.

  The printer 1 includes a paper transport mechanism 20, a carriage moving mechanism 30, a head unit 40, a sensor group 50, and a printer controller 60.

  The printer 1 (printing apparatus main body) that has received a print signal from the computer 1100 that is an external apparatus controls the control target unit, that is, the paper transport mechanism 20, the carriage moving mechanism 30, and the head unit 40 by the printer controller 60. At this time, the printer controller 60 corresponds to a part of the controller, and prints an image on the paper S based on the print data received from the computer 1100. Each sensor in the sensor group 50 monitors the status in the printer 1. Each sensor outputs a detection result to the printer controller 60. Upon receiving the detection results from the sensors, the printer controller 60 controls the control target unit based on the detection results.

  The paper transport mechanism 20 corresponds to a medium transport mechanism, and is a mechanism that sends the paper S to a printable position or transports the paper S by a predetermined transport amount in the transport direction. This transport direction is a direction that intersects the carriage movement direction described below, and corresponds to a “predetermined direction”. The paper transport mechanism 20 includes a paper feed roller 21, a transport motor 22, a transport roller 23, a platen 24, and a paper discharge roller 25. The paper feed roller 21 is a roller for automatically feeding the paper S inserted into the paper insertion opening into the printer 1 and has a D-shaped cross section in this example. The carry motor 22 is a motor for carrying the paper S in the carrying direction, and is constituted by, for example, a DC motor. The operation of the carry motor 22 is controlled by the printer controller 60. The transport roller 23 is a roller for transporting the paper S sent by the paper feed roller 21 to a printable area. The operation of the transport roller 23 is also controlled by the transport motor 22. The platen 24 is a member that supports the paper S being printed from the back side of the paper S. The paper discharge roller 25 is a roller for transporting the paper S that has been printed.

  The carriage moving mechanism 30 is a mechanism for moving the carriage CR to which the head unit 40 is attached in the carriage moving direction (corresponding to another predetermined direction). This carriage movement direction includes a movement direction from one side to the other side and a movement direction from the other side to the one side. A head 41 included in the head unit 40 is provided with a nozzle Nz for ejecting ink. For this reason, as the carriage CR moves, the nozzle Nz also moves in the carriage movement direction. The carriage moving mechanism 30 includes a carriage motor 31, a guide shaft 32, a timing belt 33, a driving pulley 34, and a driven pulley 35. The carriage motor 31 corresponds to a drive source for moving the carriage CR. The operation of the carriage motor 31 is controlled by the printer controller 60 described above. A drive pulley 34 is attached to the rotation shaft of the carriage motor 31. The drive pulley 34 is disposed on one end side in the carriage movement direction. A driven pulley 35 is disposed on the other end side in the carriage movement direction on the opposite side to the drive pulley 34. The timing belt 33 is connected to the carriage CR and is spanned between a driving pulley 34 and a driven pulley 35. The guide shaft 32 is a member that supports the carriage CR in a movable state. The guide shaft 32 is attached along the carriage movement direction. Accordingly, when the carriage motor 31 operates, the carriage CR moves along the guide shaft 32 in the carriage movement direction.

  The head unit 40 is for ejecting ink onto the paper S. As shown in FIG. 11, the head 41 of the head unit 40 is provided with a nozzle Nz as an ejection unit that ejects ink. The nozzle Nz is provided, for example, on a thin metal plate called a nozzle plate by pressing or laser processing. The surface of the nozzle plate is subjected to water repellent treatment. Examples of the water repellent treatment include formation of a water repellent coating. The nozzles Nz are grouped for each type of ink to be ejected, and a nozzle row is configured by each group. The illustrated head 41 includes a black ink nozzle row Nk, a cyan ink nozzle row Nc, a magenta ink nozzle row Nm, and a yellow ink nozzle row Ny. Each nozzle row includes n (for example, n = 180) nozzles Nz. In these nozzle rows, the nozzles Nz are provided at regular intervals (nozzle pitch: k · D) along the transport direction. Here, D is a minimum dot pitch in the transport direction, that is, an interval at the highest resolution of dots formed on the paper S. K is a coefficient representing the relationship between the minimum dot pitch D and the nozzle pitch, and is set to an integer of 1 or more. For example, when the nozzle pitch is 180 dpi (1/180 inch) and the dot pitch in the transport direction is 720 dpi (1/720 inch), k = 4. In the example shown in the figure, the nozzles Nz of each nozzle row are assigned a lower number as the nozzles Nz on the downstream side (# 1 to # 180). That is, the nozzle Nz (# 1) is located downstream of the nozzle Nz (# 180) in the transport direction, that is, on the upper end side of the sheet S.

  In the printer 1, a plurality of types of ink having different amounts can be individually ejected from each nozzle Nz. For example, from each nozzle Nz, there are three types of ink consisting of large ink droplets capable of forming large dots, medium ink droplets capable of forming medium dots, and small ink droplets capable of forming small dots. Drops can be jetted. Therefore, in this example, the non-formation of dots corresponding to the pixel data “00”, the formation of small dots corresponding to the pixel data “01”, the formation of medium dots corresponding to the pixel data “10”, and the pixel data “11”. 4 types of control such as formation of a large dot corresponding to "." That is, four gradation recording is possible.

  The sensor group 50 is for monitoring the status of the printer 1. The sensor group 50 includes a linear encoder 51, a rotary encoder 52, a paper detection sensor 53, a paper width sensor 54, and the like. The linear encoder 51 is for detecting the position of the carriage CR (head 41, nozzle Nz) in the carriage movement direction. The rotary encoder 52 is for detecting the rotation amount of the transport roller 23. The paper detection sensor 53 is for detecting the leading end position of the paper S to be printed. The paper width sensor 54 is for detecting the width of the paper S to be printed.

  The printer controller 60 controls the printer 1. The printer controller 60 includes an interface unit 61, a CPU 62, a memory 63, and a control unit 64. The interface unit 61 is interposed between the computer 1100, which is an external device, and the printer 1, and transmits and receives data. The CPU 62 is an arithmetic processing unit for controlling the entire printer. The memory 63 is for securing an area for storing a program of the CPU 62, a work area, and the like, and is configured by a storage element such as a RAM, an EEPROM, or a ROM. The CPU 62 controls each control target unit via the control unit 64 in accordance with a program stored in the memory 63. In the present embodiment, a partial area of the memory 63 is used as a correction value storage unit 63a for storing correction values (described later).

<About printing operation>
FIG. 12 is a flowchart of the operation during printing. Each operation described below is executed by the printer controller 60 controlling each control target unit in accordance with a program stored in the memory 63. This program has code for executing each operation.

  Print command reception (S001): The printer controller 60 receives a print command from the computer 1100 via the interface unit 61. This print command is included in the header of print data transmitted from the computer 1100. Then, the printer controller 60 analyzes the contents of various commands included in the received print data, controls each control target unit, and performs the following paper feed operation, dot formation operation, transport operation, paper discharge processing, and the like. .

  Paper Feed Operation (S002): Next, the printer controller 60 performs a paper feed operation. The paper feeding operation is a process of moving the paper S to be printed and positioning it at a printing start position (so-called cueing position). That is, the printer controller 60 rotates the paper feed roller 21 and sends the paper S to be printed to the transport roller 23. Subsequently, the printer controller 60 rotates the transport roller 23 to position the paper S sent from the paper feed roller 21 at the print start position.

  Dot Forming Operation (S003): Next, the printer controller 60 performs a dot forming operation. The dot forming operation is an operation of forming dots on the paper S by intermittently ejecting ink from the nozzles Nz moving along the carriage movement direction. In the following description, the operation of moving the nozzle Nz once from one side of the carriage movement direction to the other side or from the other side to one side while ejecting ink is referred to as “pass”. To do. In this dot forming operation, the printer controller 60 drives the carriage motor 31 to move the carriage CR in the carriage movement direction. Further, the printer controller 60 ejects ink from the nozzles Nz based on the print data while the carriage CR is moving. The ink ejected from the nozzles Nz lands on the paper, thereby forming dots on the paper. Therefore, when this dot forming operation is performed, dots are appropriately formed in the unit area along the moving direction of the carriage CR. In other words, raster lines (corresponding to unit images) of these dots are printed in the unit area.

  Transport Operation (S004): Next, the printer controller 60 performs a transport operation. The transport operation is a process of moving the paper S relative to the head 41 along the transport direction. The printer controller 60 drives the carry motor 22 and rotates the carry roller 23 to carry the paper S in the carrying direction. By this carrying operation, the relative position between the nozzle Nz and the paper S changes, and it is possible to form dots at positions (that is, different unit areas) different from the positions of the dots formed by the previous dot forming operation. become. Accordingly, by repeating the dot forming operation and the carrying operation, a plurality of the raster lines described above are formed in the carrying direction, and an image is printed on the paper S.

  Paper discharge determination (S005): Next, the printer controller 60 determines whether or not to discharge the paper S being printed. At the time of this determination, if data for printing on the paper S being printed remains, the paper is not discharged. That is, a dot forming operation is performed. Then, the printer controller 60 alternately repeats the dot formation operation and the conveyance operation until there is no data to be printed, and gradually prints an image composed of dots on the paper S. When there is no more data for printing on the paper S being printed, the printer controller 60 performs a paper discharge process. Note that whether or not to perform the paper discharge process may be determined based on a paper discharge command included in the print data.

  Paper Discharge Process (S006): When it is determined that “paper discharge” is made in the paper discharge determination described above, the printer controller 60 performs a paper discharge process for discharging the paper S that has been printed. In this paper discharge process, the printer controller 60 rotates the paper discharge roller 25 to discharge the printed paper S to the outside.

  Determination of printing end (S007): Next, the printer controller 60 determines whether or not to continue printing. If printing is to be performed on the next sheet S, the process returns to the above-described sheet feeding operation to continue printing, and the sheet feeding operation for the next sheet S is started. If printing is not performed on the next sheet S, the printing operation is terminated.

=== Printing method ===
<About the interlace method>
In the printer 1 of this embodiment having such a configuration, printing by an interlace method can be performed. By using this interlace method, individual differences such as ink ejection characteristics for each nozzle Nz are dispersed on the printed image so as not to stand out. Here, FIG. 13A and FIG. 13B are explanatory diagrams of the interlace method. That is, FIG. 13A is a diagram illustrating the position of the nozzle Nz and the state of dot formation in the first to fourth passes. FIG. 13B is a diagram for explaining the relationship between a raster line and the nozzle Nz in charge of the raster line. In FIG. 13A, the nozzle row shown instead of the head 41 is depicted as moving with respect to the paper S. However, this drawing is drawn for convenience in order to show the relative positional relationship between the nozzle array and the paper S. That is, in the actual printer 1, the paper S is moved in the transport direction. In this figure, the nozzle Nz indicated by a black circle is a nozzle Nz that actually ejects ink, and the nozzle Nz indicated by a white circle is a nozzle Nz that does not eject ink.

  In the interlace method illustrated in FIGS. 13A and 13B, each time the sheet S is transported at a constant transport amount in the transport direction, each nozzle Nz has a raster immediately above the raster line printed in the immediately preceding pass. Print the line. In order to print each raster line with a constant carry amount as described above, the number N (integer) of nozzles Nz to which ink is actually ejected is required to be relatively prime to the coefficient k described above. It is done. In this case, the carry amount F is set to N · D. In the example of the figure, the nozzle row has four nozzles Nz arranged along the transport direction, but in order to print each raster line with a constant transport amount, an interlace method is used using three nozzles Nz. Is being printed. Further, since the three nozzles Nz are used, the paper S is transported with a transport amount of 3 · D. As a result, for example, dots are formed on the paper S at a dot interval of 720 dpi (= D) using a nozzle row having a nozzle pitch of 180 dpi (4 · D). In the example shown in the figure, the first raster line R1 is printed by the nozzle Nz (# 1) in the third pass, and the second raster line R2 is printed by the nozzle Nz (# 2) in the second pass. The nozzle Nz (# 3) prints the first raster line R3 in the first pass, and the nozzle Nz (# 1) prints the fourth raster line R4 in the fourth pass.

<About the overlap method>
14A and 14B and FIG. 15 are explanatory diagrams of the overlap method. That is, FIG. 14A and FIG. 14B show an example in which a nozzle row composed of eight nozzles Nz is used and one raster line is assigned by two nozzles Nz. Specifically, FIG. 14A is a diagram illustrating the position of the nozzle Nz and the state of dot formation in the first to eighth passes. FIG. 14B is a diagram for explaining the relationship between a raster line and the nozzle Nz in charge of the raster line. FIG. 15 is a diagram illustrating an example in which one raster line is assigned by two nozzles Nz in a nozzle row composed of 180 nozzles Nz.

  In the overlap method, as in the interlace method, ink is ejected from a predetermined nozzle Nz and dots are formed on the paper S every time the paper S is transported in the transport direction by a constant transport amount. Here, in the overlap method, ink is intermittently ejected from each nozzle Nz in a certain pass, and dots are formed on the paper at intervals of several dots. In another pass, ink is intermittently ejected from other nozzles Nz, and other dots are formed at positions where the gaps between already formed dots are filled. By repeating such an operation, one raster line is completed by a plurality of passes. In the following description, for convenience, when one raster line is completed by M dot forming operations, the number of overlaps is M.

  In the example of FIGS. 14A and 14B and the example of FIG. 15, one raster line is completed by two dot forming operations. For this reason, the overlap number is 2 (M = 2). In such an overlap method, in order to perform recording with the carry amount F being constant, it is required to satisfy the following conditions. That is, (1) N / M is an integer, (2) N / M is coprime to the coefficient k, and (3) the transport amount F is set to (N / M) · D. Each condition must be met. In the example of FIG. 14A, the nozzle row has eight nozzles Nz arranged along the transport direction. However, in order to satisfy the above-described condition, printing with six nozzles Nz is performed. In this case, N / M is 3, which is a prime relationship with the coefficient k (= 4). The transport amount F of the paper S is set to 3 · D. Thereby, one raster line can be completed by two dot forming operations. That is, in this example, the first raster line R1 is printed by the nozzle Nz (# 4) in the third pass and the nozzle Nz (# 1) in the seventh pass. The second raster line R2 is printed by the nozzle Nz (# 5) in the second pass and the nozzle Nz (# 2) in the sixth pass. Similarly, the third raster line R3 is generated by the nozzle Nz (# 6) in the first dot formation operation (pass 1) and the nozzle Nz (# 3) in the fifth dot formation operation (pass 5). It is completed by two dot forming operations. In the example of FIG. 15, since the above-described conditions are satisfied, overlap printing is performed using 178 nozzles Nz (N = 178). In this case, N / M is 89, which is a prime relationship with the coefficient k (= 4). The carry amount F of the paper S is set to 89 · D. Thereby, one raster line can be completed by two dot forming operations.

=== Correction Value ===
In this type of printer 1, the ink droplets ejected from the nozzles Nz may vary for each nozzle Nz. There are a plurality of types of variations for each nozzle Nz. One typical variation is variation in the flight direction of ink droplets. Another typical variation is variation in the amount of ink droplets. Variation in the flying direction of ink droplets is caused by, for example, variation in the dimensions of the nozzles Nz and variation in the formation state of the water-repellent coating. In addition, variations in the amount of ink droplets are caused by variations in characteristics of elements for ejecting ink (piezo elements, heating elements, etc.), for example.

  When such variation for each nozzle Nz occurs, density unevenness may occur in the printed image. For example, when the flight direction varies, streaky density unevenness parallel to the carriage movement direction (also referred to as horizontal stripe-shaped density unevenness for convenience) occurs. Here, FIG. 16 is a diagram for schematically explaining density unevenness that occurs in the transport direction of the paper S. FIG. This figure shows density unevenness of an image printed with one ink color of cyan, magenta, yellow, and black, for example, magenta ink.

  When the ink droplets fluctuate in the flight direction, and the ink droplets flew in the transport direction with respect to the normal flight direction, the dot formation position also deviates from the target position in the transport direction. Similarly, the landing positions of the dots belonging to the same raster line are also shifted. For this reason, the formation position of the raster line is shifted from the target formation position. When such a shift in the formation position occurs, the interval between the raster lines adjacent in the transport direction becomes empty or clogged. When this is viewed macroscopically, it becomes horizontal stripe-shaped density unevenness. That is, raster lines having relatively wide intervals between adjacent raster lines appear macroscopically thin, and raster lines having relatively narrow intervals appear macroscopically dark.

  Also, when there are variations in the amount of ink droplets for each nozzle Nz, horizontal stripe-like density unevenness can occur. For example, when there is a nozzle Nz that ejects ink droplets smaller than the regular amount, the density of the raster line assigned to the nozzle Nz is lighter than that of the other nozzle rows. On the other hand, when there is a nozzle Nz that ejects more ink droplets than the normal amount, the raster line that the nozzle Nz is responsible for has a higher density than the other nozzle rows. Such variation in density for each raster line is also visually recognized as horizontal stripe-shaped density unevenness on the printed image.

  In order to prevent such density unevenness, it is preferable to set a correction value indicating increase / decrease of the ink amount and adjust the ink droplet amount based on the correction value. For example, it is preferable to set a correction value for each raster line (for each unit region adjacent in the transport direction) and to adjust the amount of ink droplet for each raster line for variations in the flight direction of ink droplets. This is because the correction value is set including the combination of the nozzle Nz in charge of the raster line and the nozzle Nz in charge of the adjacent raster line. It is because it can suppress effectively. Also, variations in the amount of ink droplets can be dealt with by setting a correction value for each nozzle Nz. Various methods are conceivable as a method for setting the correction value, but a method of printing a correction pattern (test pattern) on a medium and setting the correction value based on the density of the printed correction pattern is preferable. . This is because density unevenness can be measured in a state close to the use state, and an appropriate correction value can be set.

  In this case, the density of the printed correction pattern is read by a density reading device such as a scanner device, and a correction value is set based on the obtained density data. Here, if there is density reading unevenness in the density reading device to be used, the obtained density data includes density reading unevenness and affects the set correction value. For example, correction may be performed for raster lines and nozzles Nz that do not require correction. On the contrary, the raster line or nozzle Nz that needs to be corrected may not be corrected or may be insufficiently corrected. Therefore, it is required to reduce the reading unevenness of the density reading device as much as possible. In particular, recent printers 1 can print high-quality images with a high resolution of 720 dpi or higher. In order to print such a high-quality image, it is important to reduce the reading unevenness of the density reading device as much as possible.

=== Printing by the Printer of this Embodiment ===
<Outline of this embodiment>
In view of such circumstances, in the present embodiment, a scanner device (density reading device) having a reading carriage (pattern reading unit) that moves in a predetermined direction is used, and density data of a correction pattern (test pattern) is obtained by the scanner device. To get. In addition to the density data of the correction pattern, the density data is also acquired for the ground color portion (colorless portion) of the paper S on which the correction pattern is not printed. Then, the density data of the correction data is corrected based on the density data of the ground color portion, and the correction value is set based on the corrected density data. That is, information on density reading unevenness in the scanner device is acquired based on density data of the ground color portion. Since the correction pattern density data is corrected based on the acquired reading unevenness information, the reading apparatus unevenness of the correction data for the corrected correction pattern density data is improved. . As a result, the accuracy of the set correction value can be improved. Hereinafter, this embodiment will be described in detail with this point as the center. For the sake of convenience, the following description will be given using an example in which a correction value is set for each raster line.

<Image printing method>
FIG. 17 is a flowchart showing a flow of processes and the like related to the image printing method according to the present embodiment. Hereinafter, the outline of these steps and the like will be described with reference to this flowchart. First, the printer 1 is assembled on the production line (S110). Next, the correction value H for each unit area (area where the raster line is printed) is set in the printer 1 by the operator of the inspection line (S120). That is, in this step, these correction values H are stored in the memory 63 of the printer 1, more specifically, in the correction value storage unit 63a (see FIG. 8). Next, the printer 1 is shipped (S130). Next, the user who purchases the printer 1 performs the actual printing of the image. At the time of the actual printing, an image is formed for each raster line at a density determined based on the correction value H. That is, the printer 1 prints an image on the paper S so as to obtain the corrected density (S140). The printer 1 according to the present embodiment is characterized by a correction value H setting step (step S120) and a main image printing (step S140). Therefore, the following description will be given with respect to step S120 and step S140.

<Step S120: Setting Correction Value H>
First, a device used for setting the correction value H will be described. FIG. 18 is a block diagram illustrating this device. In addition, about the component already demonstrated, since the same code | symbol is attached | subjected, description is abbreviate | omitted. In this figure, a computer 1100A is a computer installed on the inspection line, and a process correction program 1120 is operating. This process correction program 1120 is a program for realizing correction value acquisition processing and the like, and has codes for realizing various processes.

  In the correction value acquisition process, a density data group (for example, 256 gray levels having a predetermined resolution) obtained by reading the correction pattern printed on the paper S by the scanner device 100 (corresponding to a density reading device). Based on the scale data, the correction value H for each density is acquired for the raster line to be processed. The correction value acquisition process will be described later. The application program 1104 operating on the computer 1100A outputs image data for printing the correction pattern to the printer driver 1110. The printer driver 1110 then outputs a print data for printing the correction pattern to the printer 1 by performing a series of processes from the resolution conversion process to the rasterization process described above.

  FIG. 19 is a conceptual diagram of a recording table provided in the memory of the computer 1100A. In this figure, details of records, fields, etc. are shown for the recording table for magenta (M). The illustrated recording table is prepared for each ink color. In this recording table, the scanner device 100 displays the measured density value for each raster line, that is, the correction pattern and the ground color portion m0 (colorless portion, see FIG. 23) on which the correction pattern is not printed. The density data obtained by reading is recorded. Therefore, each recording table has a record for each raster line and a field for each density. In this embodiment, each record is associated with a raster line, and is recorded in a record having a smaller number in order from the raster line formed on the upper end side of the sheet. Each record is also associated with a reference density. This reference density corresponds to the density of the subpattern included in the correction pattern and the density of the ground color portion. As will be described later, the correction pattern CPm of the present embodiment has sub-patterns CPm1 to CPm10 (FIG. 23) printed with density command values of 10% to 100% (also referred to as density 10% to density 100% for convenience). See). For this reason, density data (d10 to d100) is acquired for each of the sub-patterns CPm1 to CPm10 and recorded in the corresponding field. Similarly, the density data (d0) is acquired for the ground color portion m0 of the paper S and recorded in the corresponding field. Further, this recording table is provided with a field for recording the correction ratio. This correction ratio is a factor for suppressing reading unevenness of the scanner device 100, and is acquired based on the density of the ground color portion m0. This correction ratio will be described later.

  FIG. 20 is a conceptual diagram of the correction value storage unit 63 a provided in the memory 63 of the printer 1. In this figure, the correction value table for magenta is shown in detail on behalf of these correction value tables. As shown in this figure, a correction value table is prepared for each ink color category in the correction value storage unit 63a. This correction value table stores the correction value H for each raster line. This correction value table also has a plurality of records, and a corresponding correction value H is stored in each record. Since the correction pattern of this embodiment is drawn with a plurality of densities as described above, the correction value H is also acquired for each density and stored in the corresponding field. In this example, there are 10 types of correction values H corresponding to one raster line for every 10% density from correction value H (h10) corresponding to density 10% to correction value H (h100) corresponding to density 100%. Acquired and stored.

  This correction value H can also be set individually for all raster lines on the paper S to be printed. However, in the present embodiment, the correction value H is set separately for each print processing operation. There are three types of print processing operations in the present embodiment: normal processing operation, upper end processing operation, and normal processing operation. Therefore, the number of records in the correction value storage unit 63a is the number determined by the print processing operation.

  Here, the print processing operation will be described. The normal processing operation is a printing processing operation that focuses on the transport amount of the paper S. In other words, in this normal processing operation, under the specified printing method (for example, overlap method, interlace method), the conveyance amount is increased as much as possible and many raster lines can be printed efficiently with a small number of passes. Conditions such as the nozzle Nz to be used and the transport amount are determined. In the upper end processing operation, a raster line is printed by using as many nozzles Nz as possible at the upper end portion of the paper S under a predetermined printing method, that is, by preventing each nozzle Nz from protruding from the paper S as much as possible. Conditions such as the nozzle Nz to be used and the transport amount are determined so that they can be performed. Similarly, in the lower end processing operation, conditions such as a nozzle Nz to be used and a conveyance amount are determined so that the lower end portion of the paper S can be printed using as many nozzles Nz as possible. As described above, the normal processing operation, the upper end processing operation, and the lower end processing operation can be expressed as a printing processing operation in which the combination of the nozzles Nz to be used and the carry amount is respectively determined. In general, the number of raster lines in the upper and lower end portions of the paper S is smaller than the number of raster lines in the intermediate portion sandwiched between the upper and lower end portions, that is, the portion printed by the normal processing operation. From this point of view, the normal processing operation can be said to be the most frequently used printing processing operation when printing on the paper S.

  A correction value H specific to the raster line is set for the raster line (unit region) printed by the upper end processing operation and the raster line printed by the lower end processing operation. On the other hand, a predetermined number of correction values H are repeatedly set for raster lines printed in the normal processing operation. This is because the combination of the raster line and the nozzle Nz in charge is periodically aligned in the normal processing operation. For example, in the example of FIG. 15 described above, the number of nozzles Nz used is 178 (N = 178), the number of overlaps is 2 (M = 2), and the combination of nozzles Nz is 4 when the coefficient k is 4. Is shown for each raster line, but in this example, combinations of nozzles Nz are arranged for every 89 raster lines. Specifically, when the combination of the nozzles Nz responsible for the nth raster line (n) is the nozzle Nz (# 156, # 067), the raster line (n + 89) printed on the upper end side of the sheet by 89 lines. ) Is also a nozzle Nz (# 156, # 067). Similarly, for the raster line (n + 1) and the raster line (n + 90), the combination of the nozzles Nz in charge of these raster lines is the nozzle Nz (# 134, # 045). In this case, a sufficient correction effect can be obtained by setting the same correction value H for the raster line (n) and the raster line (n + 89). The same applies to the raster line (n + 1) and the raster line (n + 90). Therefore, it is sufficient to prepare the correction values H for 89 lines and set each correction value H for each predetermined repetition period (89 lines). In this way, the amount of use of the memory 63 can be reduced as compared with the case where the correction value H is individually set for all raster lines.

  FIG. 21 is a diagram for explaining the scanner device 100 that is communicably connected to the computer 1100A. 21A is a longitudinal sectional view of the scanner device 100, and FIG. 21B is a plan view of the scanner device 100. The scanner device 100 corresponds to a density reading device, and reads the density of an image printed on a document (for example, a correction pattern printed on a paper S) at a predetermined resolution. The scanner apparatus 100 includes an original table glass 102 on which an original 101 is placed, a reading carriage 104 that moves in a predetermined movement direction while facing the original 101 through the original table glass 102, and a reading carriage 104 and the like. A scanner controller (not shown) for controlling each unit is provided. The reading carriage 104 corresponds to a pattern reading unit. Therefore, the moving direction of the reading carriage 104 corresponds to a predetermined direction. The reading carriage 104 is mounted with an exposure lamp 106 that irradiates light on the document 101 and a linear sensor 108 that receives reflected light from the document 101 over a predetermined range in a direction orthogonal to the moving direction. Yes. Therefore, the orthogonal direction can also be referred to as the arrangement direction of the linear sensors 108. In the scanner device 100, the linear sensor 108 receives the reflected light while moving the reading carriage 104 in the moving direction while the exposure lamp 106 emits light. Accordingly, the scanner device 100 reads the density of the image printed on the document 101 with a predetermined reading resolution. The scanner device 100 according to the present embodiment can read the image density at a resolution higher than the print resolution of the image. For example, the density of an image printed at a resolution of 720 dpi can be read at a reading resolution of 1800 dpi to 2800 dpi. Note that the broken line in FIG. 21A indicates the locus of light at the time of image density reading.

  FIG. 22 is a flowchart showing the procedure of step S120 in FIG. Hereinafter, a procedure for storing the correction value H in the correction value storage unit 63a will be described with reference to this flowchart. This procedure includes a printing step (S121) for printing a correction pattern (test pattern), a step for reading a correction pattern (S122), a step for obtaining density data for setting (S123), and a correction value H for each raster line. A correction value setting step (S124) for setting for each density. Of these steps, the step of reading the correction pattern in S122, the step of acquiring the density data for setting in S123, the density data acquisition step of acquiring the density data of the test pattern, and the density This corresponds to a density data correction step for correcting data. Hereinafter, each step will be described in detail.

(1) About correction pattern printing (S121):
First, a correction pattern is printed on the paper S in step S121. Here, the operator of the inspection line connects the printer 1 to a state in which the printer 1 can communicate with the computer 1100A of the inspection line. Then, the correction pattern is printed on the printer 1. That is, the operator gives an instruction to print the correction pattern via the user interface of the computer 1100A. At this time, a print mode, a paper size mode, and the like are set from this user interface. In response to this instruction, the computer 1100A reads the image data of the correction pattern stored in the memory, and performs the above-described resolution conversion processing, color conversion processing, halftone processing, and rasterization processing. As a result, print data for printing the correction pattern is output from the computer 1100A to the printer 1. Then, the printer 1 prints the correction pattern on the paper S based on the print data. That is, the printer 1 prints the correction pattern by an operation similar to that at the time of image printing (at the time of main printing described later). Note that the printer 1 that prints the correction pattern is the printer 1 for which the correction value H is set. That is, the correction value H is set for each printer 1.

  Here, FIG. 23 is a diagram illustrating an example of a printed correction pattern (test pattern), and is a diagram illustrating a correction pattern CPm for magenta. In the exemplified correction pattern CPm, a plurality of sub-patterns CPm1 to CPm10 are arranged in the carriage movement direction (another predetermined direction). These sub-patterns CPm1 to CPm10 have different concentrations. Further, the sub-patterns CPm1 to CPm10 have the same shape. That is, the width (printing length in the carriage movement direction) and the length (printing length in the transport direction) are aligned with each other. In the present embodiment, the density of each of the sub-patterns CPm1 to m10 gradually increases from the left side to the right side in FIG. Specifically, the leftmost sub-pattern CPm1 is printed with a density of 10% (that is, a density command value of 10%), and the rightmost sub-pattern CPm10 is printed with a density of 100% (that is, a density command value of 100%). ) Is printed. The intermediate sub-patterns CPm2 to CPm9 are printed with a density command value that is 10% higher than the sub-pattern on the left.

  That is, this correction pattern CPm can be said to have a plurality of sub-patterns CPm1 to CPm10 printed in the transport direction with a predetermined density command value in the carriage movement direction. As will be described later, the conveyance direction corresponds to the moving direction of the reading carriage 104 when reading the correction pattern CPm. In addition, a ground color portion m0 where a pattern is not printed is provided adjacent to the correction pattern CPm. The ground color portion m0 can also be referred to as a prohibited region where printing of images is prohibited in the correction pattern CPm. Therefore, in the image data for the correction pattern CPm, “00” indicating the non-formation of dots is set as pixel data in the portion corresponding to the ground color portion m0. The ground color portion m0 is provided on the left side of the sub pattern CPm1, and the size thereof is aligned with each of the sub patterns CPm1 to CPm10.

(2) Reading correction pattern CPm (step S122):
Next, the printed correction pattern and the adjacent ground color portion are read by the scanner device 100. In this step S122, first, the operator of the inspection line places the paper S on which the correction pattern CPm is printed on the platen glass 102. At this time, as shown in FIG. 21B, the operator places the paper S so that the conveyance direction of the paper S is the same as the moving direction of the reading carriage 104. In other words, it can be said that the sub-patterns CPm1 to CPm10 constituting the correction pattern CPm are printed at a predetermined density along the moving direction of the reading carriage 104. Here, it is easier to increase the sampling frequency in the moving direction of the reading carriage 104 than to increase the resolution of the linear sensor 108. Therefore, by printing each of the sub-patterns CPm1 to CPm10 along the moving direction of the reading carriage 104, the corresponding density data can be acquired with high accuracy.

  If the paper S is loaded, the operator designates the reading conditions via the user interface of the computer 1100A, and then instructs the start of reading. Here, in the illustrated scanner device 100, the reading width in the cross direction of the reading carriage 104 is wider than the width obtained by adding the ground color portion m0 to the correction pattern CPm (width in the carriage movement direction). Therefore, the reading carriage 104 can simultaneously read the correction pattern CPm (each sub-pattern CPm1 to CPm10) and the ground color portion m0. Thereby, the reading conditions such as the moving speed of the reading carriage 104 and the sampling timing can be made uniform in each of the sub-patterns CPm1 to CPm10 and the ground color portion m0. Thereby, the variation of the obtained density data can be reduced.

  Further, it is desirable that the reading resolution in the moving direction of the reading carriage 104 is finer than half the interval (pitch) of raster lines. This is based on the sampling theorem that “the sampling frequency must be at least twice the maximum frequency included in the sampling target”. In this embodiment, since the raster line interval is 720 dpi, the scanner device 100 reads the image density at a reading resolution of 1800 dpi, which is finer than half (1440 dpi). Upon receiving an instruction to start reading, a scanner controller (not shown) of the scanner apparatus 100 reads the correction pattern printed on the paper S by controlling the reading carriage 104 and the like, and the obtained density data (reading). Density data of the entire target area) is transferred to the computer 1100A. Then, the computer 1100A records this density data in the memory.

(3) Acquisition of setting density data (step S123):
Next, the computer 1100A acquires setting density data used for setting the correction value H for each raster line and each density. The acquisition of the density data for setting is performed based on the density data transferred from the scanner device 100. That is, the setting density data is obtained by correcting the density data of the correction pattern transferred from the scanner apparatus 100 based on the density data of the ground color portion transferred from the scanner apparatus 100. Accordingly, the density data for setting corresponds to the density data (corrected density data) of the corrected correction pattern.

  Here, FIG. 24 is a flowchart showing the procedure of the setting density data acquisition operation. FIG. 25A is a diagram for explaining density data after being transferred from the computer 1100A, and is a diagram for explaining the density of the sub-patterns CPm1 to CPm10 and the ground color portion m0. FIG. 25B is a diagram showing a part of the density data together with the average value of the density data for the ground color portion m0, the sub-pattern CPm10 having a density of 10%, and the sub-pattern CPm10 having a density of 100%.

  First, based on the density data transferred from the scanner device 100, the computer 1100A converts the resolution of the transferred density data into a print resolution (S123a). For example, density data with a reading resolution of 1800 dpi is converted into density data with a printing resolution of 720 dpi. Thus, the converted density data becomes data indicating the density for each raster. The resolution conversion is performed by interpolation processing (also enlargement / reduction processing). Examples of the interpolation processing method include a nearest neighbor method, a bilinear method, and a bicubic method. In the nearest neighbor method, the measurement value closest to the position where the density is to be obtained becomes the density at the position where the density should be obtained as it is. In the bilinear method, linear interpolation is performed based on the gradient of density in the vicinity of 2. Since these methods are simple to calculate, there is an advantage that the processing by the computer 1100A can be performed in a short time. The bicubic method is a kind of cubic interpolation. According to this bicubic method, the acquired density data is reflected deeply in the converted density data, so that the conversion can be performed with high accuracy.

  If the resolution conversion is performed, the computer 1100A acquires the density data of the sub-patterns CPm1 to CPm10 and the ground color portion m0 based on the density data after the resolution conversion (S123b). By acquiring the density data, the computer 1100A first specifies the density data of the sub-patterns CPm1 to CPm10 and the ground color portion m0 from the entire density data. Since various methods are conceivable, the computer 1100A may specify the sub-patterns CPm1 to CPm10 and the ground color portion m0 by an appropriate method. For example, the computer 1100A is caused to refer to density data of an appropriate raster line in the carriage movement direction (the arrangement direction of the linear sensors 108). The coordinates at which the gap of the density data exceeds the threshold value are recognized by the computer 1100A as the boundary between the sub-patterns CPm1 to CPm10, or the boundary between the sub-pattern CPm1 having the density of 10% and the ground color portion m0, and the recognized boundary. Based on the sub patterns CPm1 to CPm10 and the ground color portion m0. Further, since the sizes of the correction patterns (subpatterns CPm1 to CPm10) and the ground color portion m0 are known, the subpatterns CPm1 to CPm10 and the ground color portion are transmitted to the computer 1100A based on the coordinate information of the density data after resolution conversion. You may make it identify m0.

  If the density data of the subpatterns CPm1 to CPm10 and the ground color portion m0 are specified, the computer 1100A acquires the density data for each raster line for each of the subpatterns CPm1 to CPm10 and the ground color portion m0 along the transport direction. To do. That is, the computer 1100A determines the target subpatterns CPm1 to CPm10 and the ground color portion m0, and acquires density data for the determined subpatterns CPm1 to CPm10 or the ground color portion m0 while changing the position in the transport direction. An appropriate method may be used to acquire the density data. In this embodiment, the computer 1100A acquires the density based on coordinate information.

  Here, FIG. 25A is a diagram schematically illustrating density data for each raster line acquired for each of the sub-patterns CPm1 to CPm10 and the ground color portion m0. In this figure, the horizontal axis indicates the position in the transport direction. In other words, the raster line number is shown. That is, raster line 1 (X pixel [1]) means the first raster line printed on the top edge of the paper S. Similarly, the raster line 1000 means the 1000th raster line from the top end of the paper S. In this example, the printing resolution in the conveyance direction of the correction pattern CPm is 720 dpi. For this reason, the last raster line 3000 in this figure corresponds to a raster line printed at a location of about 106 mm from the upper end of the paper. In addition, the vertical axis in this figure indicates the concentration. This density is determined in the range of 1 to 255, and becomes smaller as the density is higher. Therefore, in this example, the density of the brightest ground color portion m0 is the highest, and the density of the sub-pattern CPm10 having a solid printed density of 100% is the lowest. In the memory (recording table, see FIG. 19) of the computer 1100A, such density data is grouped by sub-patterns CPm1 to CPm10 and ground color portions m0 (for each density), and , Recorded for each raster line.

If the density data is acquired, the computer 1100A acquires the correction ratio based on the density data of the ground color portion m0 for each raster line (S123c). This correction ratio is acquired as follows. First, the computer 1100A acquires an average value for the acquired density of the ground color portion m0. In the example of FIG. 25, the computer 1100A adds density data from the density data of the first raster line to density data of the 3000th raster line and divides the density data value after the addition by 3000 to obtain density data. Get the average value of. If the average value of the density data is acquired, the computer 1100A acquires the correction ratio for each raster line and records it in the corresponding field of the recording table. The acquisition of the correction ratio is performed based on the following formula (1), for example.
Re (Rn) = d0 (Rn) / d0av (1)
Re (Rn): Correction ratio in a certain raster line Rn d0 (Rn): Density data of the ground color portion m0 in a certain raster line Rn d0av: Average value of the density data of the ground color portion m0

  The calculation of the correction ratio will be described with a specific example. Here, FIG. 25B is directed to the density data of the ground color portion m0, the density data of the sub-pattern CPm1 having the density of 10%, and the density data of the sub-pattern CPm10 having the density of 100%. Is a diagram schematically showing the relationship between density data and average density. In this figure, the average of the density data is indicated by a dotted line, and the density data for each raster line is indicated by a solid line.

  In this example, regarding the density data of the ground color portion m0, the average value is 246.2. Then, with respect to the raster line on the side close to the upper end (first raster line) of the sheet, the density of the ground color portion m0 tends to be read darker than the average for the first to 500th raster lines. Referring to FIG. 25A, the value of the corresponding density data is gradually lower for the raster line in the range indicated by the symbol SP. Assume that the density data of the corresponding ground color portion m0 is 242.5 for a certain raster line X1 within this range. In this case, the correction ratio Re (X1) is calculated by dividing 242.5 by 246.2 and becomes 0.985. Similarly, for the 700th raster line X2, the density data of the corresponding ground color portion m0 is 246.0. In this case, the correction ratio Re (X2) is calculated as 0.999. Then, the computer 1100A performs such processing for each raster line, and records the calculated correction ratio in the correction ratio field of the corresponding record.

  If the correction ratio is acquired for each raster line, the computer 1100A acquires density data for each raster line for each of the sub-patterns CPm1 to CPm10 (S123d). That is, the computer 1100A corrects the density data of the correction pattern CPm (each subpattern CPm1 to CPm10) based on the correction ratio, and acquires setting density data for setting the correction value H. In this step, the computer 1100A reads the density data of the sub-patterns CPm1 to CPm10 for each raster line. The computer 1100A also reads the correction ratio corresponding to the read density data, and multiplies the correction ratio by the density data to obtain setting density data. Further, the computer 1100A records the acquired setting density data in a corresponding recording table. For example, the obtained density data for setting is overwritten in place of the density data before correction.

  By performing such correction, the density data for setting can be suppressed from the influence of reading unevenness of the scanner device 100 (reading carriage 104). Here, FIG. 26 is a diagram showing the density data for setting for each of the sub-patterns CPm1 to CPm10. In this figure, the setting of the vertical and horizontal axes is the same as in FIG. As can be seen from FIG. 26, by performing the correction based on the correction ratio, the scanner device 100 is applied to the raster lines around the 500th raster line from the first raster line, that is, the range indicated by the symbol SP in FIGS. Uneven reading has been improved. In other words, the phenomenon of reading darker than the original density (the characteristic of falling to the left in FIG. 25A) is improved. In particular, the reading unevenness is improved for the sub-patterns CPm1 to CPm5 having a density of 10% to 50%.

  By the way, when acquiring the density for each raster line, the difference between the average value of the density data of the raster line and the density data in the ground color portion m0 can be used without using the correction ratio. For example, in FIG. 25B, the density of each of the sub-patterns CPm1 to CPm10 is corrected by the difference Δ (X1) between the density data (242.5) corresponding to the raster line X1 and the average value (246.2) of the density data. You can also. However, the average value of the density data is different for each sub-pattern, and the amount of deviation from the average value is also different for each sub-pattern. For example, in the sub-pattern CPm1 having a density of 10%, since the deviation amount from the average value is close to the deviation amount of the ground color portion m0, a good result can be obtained by correcting with the difference Δ (X1) of the ground color portion m0. However, in the sub-pattern CPm10 having a density of 100%, since the deviation amount from the average value is smaller than the deviation amount of the ground color portion m0, the correction is excessively corrected if the difference Δ (X1) of the ground color portion m0 is corrected. become. In consideration of this point, in the present embodiment, correction is performed based on the correction ratio. Thereby, correction suitable for the sub-patterns CPm1 to CPm10 can be performed, and the accuracy of the correction value H can be increased. Since the correction ratio is determined for each raster line, the accuracy of the correction value H can be improved also in this respect.

(4) Setting of the correction value H for each raster line (step S124):
Next, the computer 1100A sets a correction value H according to the calculated density of the raster line. That is, the computer 1100A calculates the correction value H based on the density of each raster line acquired for each of the sub patterns CPm1 to CPm10. Then, the computer 1100A stores the correction value H in the correction value storage unit 63a of the printer 1.

The correction value H is obtained, for example, in the form of a correction ratio indicating a correction ratio with respect to the density gradation value. Specifically, it is calculated as follows. First, the average value dav of density data of all raster lines is calculated for sub-patterns having the same density. Then, for each raster line, a deviation Δd (= dav−d) between the density data d of the raster line and the average value dav is calculated, and a value obtained by dividing the deviation Δd by the average value dav is set as a correction value H. That is, when the correction value H is expressed by an equation, the following equation (2) is obtained.
Correction value H = Δd / dav
= (Dav−d) / dav (2)

  For example, when the density data d of a certain sub-pattern of a certain raster line is 95 and the average value dav of the density data in that sub-pattern is 100, the correction value H is ((100−95) / 100) and becomes +0.05. Further, when the density data d of a certain sub-pattern of a certain raster line is 105 and the average value dav of the density data in that sub-pattern is 100, the correction value H is ((100−105) / 100)) and becomes -0.05. As described above, when the density data d of a certain sub-pattern in a certain raster line is smaller than the average value dav of the density data in the sub-pattern, that is, when the density is thinner than the specified value, the correction value H becomes positive. Become. On the other hand, when the density is higher than the standard, the correction value H is negative. As will be described later, when the correction value H is positive, correction is performed so as to increase the density of the raster line. When the correction value H is negative, correction is performed so as to reduce the density of the raster line. The density data of the correction pattern CPm (respective subpatterns CPm1 to CPm10) used for setting the correction value H is based on the density data of the ground color portion as described above, and the scanner device 100 (reading carriage 104). Uneven reading has been corrected. For this reason, the correction value H can be set with high accuracy.

<Step S140: Full-printing the image while correcting the density for each raster line>
The density correction value H is set in this way, and the shipped printer 1 is used by the user. That is, the main printing is performed under the user. In this actual printing, the printer driver 1110 and the printer 1 cooperate to perform density correction for each raster line, and execute printing that suppresses density unevenness. Here, the printer driver 1110 refers to the correction value H stored in the correction value storage unit 63a in the printer 1 and corrects the pixel data so that the density is corrected based on the correction value H. That is, the printer driver 1110 corrects multi-gradation pixel data based on the correction value H when converting RGB image data into print data. Then, print data based on the corrected image data is output to the printer 1. The printer 1 prints the corresponding raster line based on this print data. Hereinafter, the printing procedure will be described.

  FIG. 27 is a flowchart showing the density correction procedure for each raster line in step S140 in FIG. The density correction procedure will be described below with reference to this flowchart. In this procedure, first, the printer driver 1110 performs resolution conversion processing (step S141). Then, the printer driver 1110 sequentially performs color conversion processing (step S142), halftone processing (step S143), and rasterization processing (S144). These processes are performed in a state where the user connects the printer 1 to the computer 1100 so as to be communicable and sets the state of the printing system 1000 described in FIG. Specifically, it is performed on the condition that a print execution operation has been performed from the user interface screen of the printer driver 1110 in a state where necessary information such as an image quality mode and a paper size mode has been input. Hereinafter, the processing of each step will be described.

  Resolution Conversion Processing (S141): First, the printer driver 1110 performs resolution conversion processing on the RGB image data output from the application program 1104. That is, the resolution of the RGB image data is converted into a print resolution corresponding to the input image quality mode. Furthermore, by appropriately processing the RGB image data such as trimming processing, the number of pixels in the RGB image data is adjusted to match the number of dots in the print area corresponding to the specified paper size and margin form mode. To do.

  Color Conversion Process (S142): Next, the printer driver 1110 executes the color conversion process described above to convert RGB image data into CMYK image data. As described above, the CMYK image data includes cyan image data, magenta image data, yellow image data, and black image data.

  Halftone processing (S143): Next, the printer driver 1110 executes halftone processing. This halftone process is a process of converting 256 gradation values indicated by each pixel data in cyan, magenta, yellow, and black image data into 4 gradation values that can be expressed by the printer 1. In this embodiment, density correction for each raster line is executed in this halftone process. That is, the process of converting each pixel data constituting each image data from a 256-step gradation value to a 4-step gradation value is performed while correcting based on the correction value H described above. This density correction is performed for each of the cyan, magenta, yellow, and black image data based on the correction value table for each ink color.

  In the present embodiment, in this halftone process, the 256 gradation values are temporarily replaced with level data and then converted into four gradation values. Therefore, at the time of this conversion, the 256 gradation values are changed by the correction value H, thereby correcting the pixel data of the gradation values of 4 steps, thereby correcting the pixel data based on the correction value H. It is carried out. In brief, the printer driver 1110 acquires, for example, the density of the raster line (for example, the average density of the printed image). Then, the computer 1100 selects the correction value H having the density closest to the density of the raster line and sets it as the correction value H of the raster line. As described above, in this embodiment, correction values are set for each of a plurality of sub-patterns (reference densities), and correction values having a density close to the density of the raster line to be printed are used. This can be done finely, and a high-quality image can be printed.

  When the correction value H is obtained in this way, the gradation value is changed by the amount of the obtained correction value H, and the level data is read. That is, Δgr is calculated by multiplying the gradation value gr of the pixel data by the correction value H, and the gradation value gr of the pixel data is changed to gr + Δgr. Then, the printer driver 1110 reads the level data based on the gradation value gr + Δgr. Referring to the example of FIG. 4, when the gradation value gr changes by + Δgr, the large dot level data LVL is 11d, the medium dot level data LVL is 12d, and the small dot level data LVL is 13d. Each is required. Such arithmetic processing can be performed easily and at high speed. Accordingly, the processing can be simplified and it is possible to cope with high frequency ejection of ink.

  Rasterization processing (S144): Next, the printer driver 1110 performs rasterization processing. The rasterized print data is output to the printer 1, and the printer 1 prints an image on the paper S according to the pixel data included in the print data.

  Note that, as described above, since the density of the pixel data is corrected for each raster line, the density unevenness of the image can be effectively suppressed in the printed image. Since the correction value H is determined based on the density data in which the reading unevenness of the scanner device 100 is suppressed, it can be determined with high accuracy.

  Here, FIG. 28 is a diagram for explaining the effect of the present embodiment. The correction pattern CPm is drawn using the correction value H acquired by suppressing the reading unevenness of the scanner device 100, and each of the sub-patterns CPm1 to CPm1 is drawn. It is a figure which shows the density data acquired along the conveyance direction about CPm10. FIG. 29 is a diagram for explaining a comparative example, in which a correction pattern CPm is drawn using the correction value H acquired without suppressing the reading unevenness of the scanner device 100, and for each of the sub-patterns CPm1 to CPm10, It is a figure which shows the density data acquired along the conveyance direction.

  Note that the scanner device used in obtaining the density data of FIGS. 28 and 29 is a scanner device suitable for evaluation with sufficiently high reading accuracy. In this scanner apparatus, the image readable range is sufficiently larger than the sheet S on which the correction pattern CPm is printed. Then, the sheet S is placed at the center of the readable range so that reading unevenness hardly occurs.

  When the correction value H is acquired without suppressing the reading unevenness of the scanner device 100 (example in FIG. 29), the density is left in the range from the first raster line to the 500th raster line indicated by reference numeral SP. A tendency to increase is confirmed. Also in this figure, the larger the density value, the lower the density. That is, the color is close to white (ground color of the paper S). Therefore, in this example, it can be seen that the closer to the first raster line, the more whitish is printed. In particular, it can be said that this tendency is remarkable at a halftone density (for example, CPm3) in which density unevenness is conspicuous.

On the other hand, when the correction value H is acquired while suppressing the reading unevenness of the scanner device 100 (example in FIG. 28), in the range from the first raster line to the 500th raster line indicated by reference numeral SP, The concentration is uniform. In particular, a halftone density (for example, CPm3) in which density unevenness is conspicuous is made uniform.
As described above, in the present embodiment, by suppressing the density unevenness of the scanner device 100, it is possible to perform appropriate correction.

=== Other Embodiments ===
Each of the above-described embodiments is mainly described for the printer 1, which includes disclosure of a printing apparatus, a printing method, a printing system 1000, and the like. Further, the printer 1 as one embodiment has been described, but the above-described embodiment is for facilitating understanding of the present invention, and is not intended to limit the present invention. The present invention can be changed and improved without departing from the gist thereof, and it is needless to say that the present invention includes equivalents thereof. In particular, the embodiments described below are also included in the present invention.

<Regarding correction pattern>
In the above-described embodiment, the printer 1 that sets the correction value H for each raster line (each unit area) has been described as an example. However, the present invention is not limited to this. For example, the present invention can be similarly applied to the printer 1 that sets a correction value for each nozzle Nz. In this case, first, ink is ejected from each nozzle Nz with a predetermined density command value, and a correction pattern is printed. Then, the density data of the correction pattern is corrected based on the density data of the ground color portion.

  In the above-described embodiment, the correction pattern is printed in the factory before the printer 1 is shipped. Then, the correction value H is set by reading the correction pattern in the factory. However, it is not limited to this. For example, the correction pattern may be printed by the user after the printer 1 is shipped. In this case, the user reads the correction pattern with the scanner, and the printer driver 1110 stores the correction data in the printer 1 based on the measurement value. That is, the process correction program 1120 that was in the computer 1100A in the factory may be incorporated in the printer driver 1110. In this way, even if the flight direction of the ink droplet changes with time, the user can acquire new correction data each time. Furthermore, since the reading unevenness is suppressed according to the scanner device 100 owned by the user, the accuracy of the correction value H can be increased.

<About Printer 1>
In the above-described embodiment, the printer 1 and the scanner device 100 are individually configured, and each is communicably connected to the computer 1100. However, the configuration is not limited to this. For example, it may be a so-called printer / scanner multifunction device having both the function of the printer 1 and the function of the scanner device 100. In addition, in the above-described embodiment, the printer 1 as the printing apparatus main body and the printer driver 1110 (the computer 1100 in which the printer driver 1110 is installed) as the printing control apparatus are individually configured and connected so as to communicate with each other. It was. In this regard, the printer 1 including the printer driver 1110 may be used. In short, a printing apparatus in which the printing apparatus main body and the printing control apparatus are integrated may be used.

  In the above-described embodiment, the printer 1 has been described. However, the present invention is not limited to this. For example, color filter manufacturing apparatus, dyeing apparatus, fine processing apparatus, semiconductor manufacturing apparatus, surface processing apparatus, three-dimensional modeling machine, liquid vaporizer, organic EL manufacturing apparatus (particularly polymer EL manufacturing apparatus), display manufacturing apparatus, film formation The same technique as that of the present embodiment may be applied to various recording apparatuses to which an ink jet technique is applied such as an apparatus and a DNA chip manufacturing apparatus. These methods and manufacturing methods are also within the scope of application.

<About ink>
Since the above-described embodiment is an embodiment of the printer 1, the dye ink or the pigment ink is ejected from the nozzle Nz. However, the ink ejected from the nozzle Nz is not limited to such an ink.

<Nozzle Nz>
In the above-described embodiment, ink is ejected using a piezoelectric element. However, the method of ejecting ink is not limited to this. For example, other methods such as a method of generating bubbles in the nozzle Nz by heat may be used.

<Density correction target>
In the above-described embodiment, the density correction based on the correction value H is performed in the halftone process. However, the present invention is not limited to this method. For example, density correction based on the correction value H may be performed on RGB image data obtained by resolution conversion processing.

<About carriage movement direction for ejecting ink>
Regarding the carriage movement direction in which ink is ejected, ink is ejected only when the carriage CR moves in the forward direction (so-called unidirectional printing), and ink is ejected when the carriage CR reciprocates in both directions (so-called bidirectional printing). ), But any may be used.

<Ink colors used for printing>
In the above-described embodiment, multicolor printing in which four inks of cyan (C), magenta (M), yellow (Y), and black (K) are ejected onto a sheet to form dots has been described as an example. The ink color is not limited to this. For example, in addition to these ink colors, ink such as light cyan (light cyan, LC) and light magenta (light magenta, LM) may be used. Conversely, monochrome printing may be performed using only one of the four ink colors.

It is explanatory drawing which showed the external appearance structure of the printing system. FIG. 3 is a schematic explanatory diagram of basic processing performed by a printer driver. It is a flowchart explaining the halftone process by a dither method. It is a figure which shows the production | generation rate table utilized for the setting of level data. It is a figure which shows the example of ON / OFF determination of the dot by a dither method. FIG. 6A is a diagram illustrating a dither matrix used for determination of large dots. FIG. 6B is a diagram illustrating a relationship with a dither matrix used for medium dot determination. 3 is an explanatory diagram of a user interface of a printer driver. FIG. 1 is a block diagram of an overall configuration of a printer. 1 is a schematic diagram of an overall configuration of a printer. 1 is a cross-sectional view of the overall configuration of a printer. It is a figure which shows the arrangement | sequence of the nozzle in the lower surface of a head. It is a flowchart of the operation | movement at the time of printing. FIG. 13A is a diagram illustrating nozzle positions and the state of dot formation in the first to fourth passes in the interlace method. FIG. 13B is a diagram for explaining a relationship between a raster line in the interlace method and a nozzle in charge of the raster line. FIG. 14A is an explanatory diagram of the overlap method, and is a diagram illustrating a nozzle position and a dot formation state in the first to eighth passes. FIG. 14B is an explanatory diagram of the overlap method, and is a diagram illustrating a relationship between a raster line and a nozzle Nz in charge of the raster line. It is explanatory drawing of an overlap system, and is a figure which shows the example in the case of handling one raster line with two nozzles in the nozzle row comprised by 180 nozzles. FIG. 6 is a diagram schematically illustrating density unevenness that occurs in a paper conveyance direction. It is a flowchart which shows the flow of the process etc. which are related to the printing method of an image. It is a block diagram explaining the apparatus used for the setting of a correction value. It is a conceptual diagram of the recording table provided in the memory of the computer set to the inspection line. It is a conceptual diagram of the correction value storage provided in the memory of the printer. FIG. 21A is a longitudinal sectional view of the scanner device. FIG. 21B is a plan view of the scanner device. It is a flowchart which shows the setting procedure of a correction value. It is a figure explaining an example of the printed correction pattern, and is a figure explaining the correction pattern about magenta. It is a flowchart which shows the procedure of the acquisition operation of density data for setting. FIG. 25A is a diagram for explaining density data after being transferred from the computer, and is a diagram for explaining the density of each sub-pattern and ground color portion. FIG. 25B is a diagram showing a part of the density data of the ground color portion, the sub-pattern having a density of 10%, and the sub-pattern having a density of 100% together with the average value of the density data. It is the figure which showed the density data for setting for every sub pattern. It is a flowchart which shows the procedure of the density | concentration correction | amendment for every raster line. It is a figure which shows the density data acquired along the conveyance direction about the correction pattern drawn using the correction value acquired by suppressing the reading nonuniformity of a scanner apparatus. It is a figure which shows the density data acquired along the conveyance direction about the correction pattern drawn using the correction value acquired without suppressing the reading nonuniformity of a scanner apparatus.

Explanation of symbols

1 printer, 20 paper transport mechanism, 21 paper feed roller, 22 transport motor,
23 transport roller, 24 platen, 25 paper discharge roller, 30 carriage moving mechanism,
31 Carriage motor, 32 guide shaft, 33 timing belt,
34 drive pulley, 35 driven pulley, 40 head unit, 41 head,
50 sensor groups, 51 linear encoder, 52 rotary encoder,
53 Paper detection sensor, 54 Paper width sensor, 60 Printer controller,
61 interface unit, 62 CPU, 63 memory, 63a correction value storage unit,
64 control unit, 100 scanner device, 101 document, 102 platen glass,
104 reading carriage, 106 exposure lamp, 108 linear sensor,
1000 printing system, 1100 computer, 1100A computer,
1102 video driver, 1104 application program,
1110 Printer Driver, 1120 Process Correction Program, 1200 Display Device,
1300 input device, 1300A keyboard, 1300B mouse,
1400 recording / reproducing apparatus, 1400A flexible disk drive apparatus,
1400B CD-ROM drive, S paper,
LUT color conversion lookup table, Nz nozzle, CR carriage,
CPm Magenta correction pattern, CPm1 to CPm10 sub-pattern

Claims (8)

A correction value setting method for reading a density of a printed test pattern by a pattern reading unit that moves in a predetermined direction and setting a correction value for correcting the density of the image,
A printing step for printing the test pattern;
A density data acquisition step of acquiring density data by reading the test pattern and a colorless portion on which the test pattern is not printed by the pattern reading unit;
A density data correction step for correcting the density data of the test pattern based on the density data of the colorless portion,
A correction value setting step for setting the correction value based on the corrected density data of the test pattern;
A correction value setting method. The correction value setting method according to claim 1,
In the concentration data correction step,
A correction value setting method of obtaining a correction ratio based on the density data of the colorless portion and correcting the density data of the test pattern based on the correction ratio. The correction value setting method according to claim 2,
In the concentration data acquisition step,
Read the density of the colorless part at a plurality of positions in the predetermined direction, to obtain a plurality of density data of the colorless part,
In the concentration data correction step,
The correction ratio at the predetermined position is acquired based on the acquired average value of the density data of the colorless portion and the density data of the colorless portion at the predetermined position, and the test pattern is acquired based on the acquired correction ratio. Correction value setting method that corrects the density data. A correction value setting method according to any one of claims 1 to 3,
The test pattern is
A correction value setting method that is printed in a predetermined direction with a predetermined density command value. The correction value setting method according to claim 4,
The test pattern is
A plurality of sub-patterns arranged in other predetermined directions intersecting with the predetermined direction are printed in the predetermined direction with density command values determined respectively.
In the concentration data acquisition step,
Obtain density data of the test pattern for each sub-pattern,
In the concentration data correction step,
A correction value setting method for correcting the density data of the test pattern for each sub-pattern. The correction value setting method according to claim 5,
In the correction value setting step,
A correction value setting method in which the correction value is set for each sub-pattern. A correction value setting method according to any one of claims 4 to 6,
The image is
It is printed for each unit area adjacent in the predetermined direction,
In the concentration data correction step,
The density data of the test pattern is corrected for each unit area,
In the correction value setting step,
A correction value setting method in which the correction value is set for each unit area. This is a correction value setting method in which the density of a test pattern printed in a predetermined direction with a predetermined density command value is read by a pattern reading unit that moves in the predetermined direction, and a correction value for correcting the density of an image is set. And
A printing step for printing the test pattern;
A density data acquisition step of acquiring density data by reading the test pattern and a colorless portion on which the test pattern is not printed by the pattern reading unit;
A density data correction step for correcting the density data of the test pattern based on the density data of the colorless portion,
A correction value setting step for setting the correction value based on the corrected density data of the test pattern,
The image is
It is printed for each unit area adjacent in the predetermined direction,
The test pattern is
A plurality of sub-patterns arranged in other predetermined directions intersecting with the predetermined direction are printed in the predetermined direction with density command values determined respectively.
In the concentration data acquisition step,
Density data of the test pattern is obtained for each sub-pattern, and the density of the colorless part is read at a plurality of positions in the predetermined direction, and a plurality of density data of the colorless part are obtained,
In the concentration data correction step,
The correction ratio at the predetermined position is acquired based on the acquired average value of the density data of the colorless portion and the density data of the colorless portion at the predetermined position, and the test pattern is acquired based on the acquired correction ratio. Is corrected for each unit region and each sub-pattern,
In the correction value setting step,
A correction value setting method, wherein the correction value is set for each unit region and for each sub-pattern.

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