JP2006305956A - Method of acquiring correction value, printing method and method of manufacturing printer - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To correctly measure a density of each train region which constitutes a pattern. <P>SOLUTION: The pattern composed of a plurality of dot trains formed in a plurality of the train regions arranged in a direction to intersect a movement direction is read by a scanner, and the density of each of the train regions of the read pattern is measured. A first correction value for correcting the density of the train region in a first region of the pattern is calculated on the basis of a measured value of the density of the train region. A second correction value for correcting the density of the train region in a second region adjacent to the first region is calculated on the basis of a measured value of the density of the train region and a measured value of the density of the other train region in the second region. At least either of the first correction value and the second correction value is corrected to reduce a difference between the first correction value and the second correction value. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a correction value acquisition method, a printing method, and a printing apparatus manufacturing method.

Prints a print image on a medium by alternately repeating a dot forming operation to form dots on a medium (paper, cloth, OHP paper, etc.) by ejecting ink from a head that moves in the moving direction and a transport operation to transport the medium. A printing apparatus is known. A print image printed by such a printing apparatus is configured by an infinite number of image pieces including dot rows arranged in the transport direction.
The dot row constituting each image piece is formed by ink droplets ejected from the head nozzle landing on the medium. If an ink droplet of an ideal size lands on an ideal position, a dot row is formed in a predetermined region (row region), and an image piece having an ideal density is formed in that region. However, in practice, due to the influence of variations in processing accuracy and the like, shading occurs in the image piece formed in that region. As a result, striped density unevenness occurs in the printed image.
Therefore, techniques for suppressing such density unevenness and improving the image quality of a printed image have been proposed (see, for example, Patent Document 1 and Patent Document 2).

In the image processing apparatus of Patent Document 1, an image is sampled by a CCD sensor, and digitized data is output by an inkjet printer. In order to correct the density unevenness, the image processing apparatus disclosed in Patent Document 1 stores the characteristics of the CCD sensor gain unevenness as a coefficient, and stores the head density unevenness characteristics as a coefficient, taking these coefficients into account. Then, binarization processing is performed.
Further, in the recording density unevenness correction method of Patent Document 2, a density unevenness detection pattern is printed, and density unevenness correction is performed based on the density data of the density unevenness detection pattern.
Japanese Patent Laid-Open No. 2-54676 JP-A-6-166247

Patent Document 1 does not disclose how to obtain a coefficient indicating the characteristic of gain unevenness of the CCD sensor. For this reason, depending on how to obtain this coefficient, the characteristics of the CCD sensor may not be correctly reflected. If this coefficient does not correctly reflect the characteristics of the CCD sensor, unevenness in density of the printed image occurs.
In Patent Document 2, after a density unevenness detection pattern is printed, the density unevenness detection pattern is read by an image sensor to create density data. However, if the image sensor cannot correctly read the density unevenness detection pattern, the density unevenness cannot be corrected correctly, and unevenness in density occurs in the printed image.
Therefore, an object of the density measurement method of the present invention is to obtain a correction value suitable for correcting density unevenness.

In the technique of correcting density unevenness in Patent Document 2, image data is corrected based on a correction value associated with each nozzle.
However, even image pieces formed by the same nozzle may have different densities. For example, even if the dot rows are formed by the same nozzle, if adjacent dot rows have different characteristics, the density of the image pieces formed from the dot rows may be different. In such a case, the density unevenness cannot be suppressed with the correction value simply associated with the nozzle.
Therefore, in the present invention, the correction value is stored in association with the row region where the dot row is formed, and the density unevenness is suppressed by correcting the density of each image piece according to the correction value.

  The main invention for solving the above-mentioned problems is that a pattern composed of a plurality of the dot rows formed in a plurality of row regions arranged in a direction intersecting the moving direction of the nozzle is read by a scanner, and the read pattern Measuring the density of each of the row regions, and calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region, The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. And calculating at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is reduced. To do.

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

=== Summary of disclosure ===
At least the following matters will become clear from the description of the present specification and the accompanying drawings.

Read a pattern composed of a plurality of dot rows formed in a plurality of row regions aligned in the direction intersecting the nozzle movement direction with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
A correction value acquisition method comprising correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is reduced.
If the correction value acquired by such a correction value acquisition method is used, the image quality of the print image can be improved.

  In this correction value acquisition method, the first correction value and the second correction value are set such that a difference between an average value of the plurality of first correction values and an average value of the plurality of second correction values is reduced. It is desirable to modify at least one of the values. Further, a difference between an average value of the plurality of first correction values and an average value of the plurality of second correction values is set as a correction value, and the first correction value and the second correction value are based on the correction value. It is preferable to correct at least one of the above. As a result, the density difference can be reduced at the boundary of the print area. However, the first correction value and the first correction value so that the difference between the first correction value of the row region adjacent to the second region and the second correction value of the row region adjacent to the first region is small. At least one of the second correction values may be corrected. In this case, a difference between the first correction value of the row region adjacent to the second region and the second correction value of the row region adjacent to the first region is set as a correction value, and based on the correction value, It is preferable to correct at least one of the first correction value and the second correction value.

  In this correction value acquisition method, the measurement value of the density of the row region is corrected according to the row region, and the first correction value and the second correction value are calculated based on the corrected measurement value. It is desirable to do. Further, when correcting the measurement value according to the column region, an approximate curve and an average value are obtained from the measurement value, and according to the difference between the value of the approximate straight line and the average value in each column region, It is preferable to correct the measured value of the density of the row region. The approximate straight line may be calculated based on a least square method. Thereby, even if the measured value is inclined, an appropriate correction value can be acquired.

  In this correction value acquisition method, the first area is an area including a first dot row formed by first printing, and the second area is formed by second printing different from the first printing. It is desirable that the region is composed of the second dot rows to be processed. Thereby, the difference in light and shade at the boundary when printing is performed by different printing methods can be reduced.

Read a pattern composed of a plurality of dot rows formed in a plurality of row regions aligned in the direction intersecting the nozzle movement direction with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
Correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is small;
When forming a print image on a medium,
Forming a dot row of the first region constituting the print image based on the first correction value corresponding to the row region of the dot row to be formed;
A printing method, comprising: forming a dot row of the second region constituting the print image based on the second correction value corresponding to the row region where the dot row is to be formed.
According to such a printing method, the image quality of the printed image can be improved.

Prepare a printing device with memory,
Using the printing apparatus, to form a pattern composed of a plurality of dot rows formed in a plurality of row regions arranged in a direction intersecting the nozzle movement direction,
Read the pattern with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
Correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is small;
A method of manufacturing a printing apparatus, wherein the corrected correction value is stored in the memory.
According to such a printing apparatus manufacturing method, a printing apparatus with high image quality can be manufactured.

=== Configuration of Printing System ===
<Printing system>
FIG. 1 is a diagram illustrating the configuration of the printing system 100. The printing system is a system including at least a printing apparatus and a printing control apparatus that controls the operation of the printing apparatus. The printing system 100 according to this embodiment includes a printer 1, a computer 110, a display device 120, an input device 130, a recording / reproducing device 140, and a scanner 150.

  The printer 1 prints an image on a medium such as paper, cloth, film, or OHP paper. The computer 110 is communicably connected to the printer 1. In order to cause the printer 1 to print an image, the computer 110 outputs print data corresponding to the image to the printer 1. Computer programs such as application programs and printer drivers are installed in the computer 110. The computer 110 is installed with a scanner driver for controlling the scanner 150 and receiving image data of a document read by the scanner 150.

<Printer>
FIG. 2 is a block diagram of the overall configuration of the printer 1. FIG. 3A is a schematic diagram of the overall configuration of the printer 1. FIG. 3B is a cross-sectional view of the overall configuration of the printer 1. Hereinafter, the basic configuration of the printer of this embodiment will be described.

  The printer 1 includes a transport unit 20, a carriage unit 30, a head unit 40, a detector group 50, and a controller 60. The printer 1 that has received print data from the computer 110, which is an external device, controls each unit (the conveyance unit 20, the carriage unit 30, and the head unit 40) by the controller 60. The controller 60 controls each unit based on the print data received from the computer 110 and prints an image on paper. The situation in the printer 1 is monitored by a detector group 50, and the detector group 50 outputs a detection result to the controller 60. The controller 60 controls each unit based on the detection result output from the detector group 50.

  The transport unit 20 transports a medium such as paper in a predetermined direction (hereinafter referred to as a transport direction). The transport unit 20 includes a paper feed roller 21, a transport motor 22 (also referred to as a PF motor), a transport roller 23, a platen 24, and a paper discharge roller 25. The paper feed roller 21 is a roller for feeding the paper inserted into the paper insertion slot into the printer. The transport roller 23 is a roller that transports the paper S fed by the paper feed roller 21 to a printable area, and is driven by the transport motor 22. The platen 24 supports the paper S being printed. The paper discharge roller 25 is a roller for discharging the paper S to the outside of the printer, and is provided on the downstream side in the transport direction with respect to the printable area. The paper discharge roller 25 rotates in synchronization with the transport roller 23.

  The carriage unit 30 is for moving (also referred to as “scanning”) the head in a predetermined direction (hereinafter referred to as a moving direction). The carriage unit 30 includes a carriage 31 and a carriage motor 32 (also referred to as a CR motor). The carriage 31 can reciprocate in the moving direction. Further, the carriage 31 detachably holds an ink cartridge that stores ink. The carriage motor 32 is a motor for moving the carriage 31 in the movement direction.

  The head unit 40 is for ejecting ink onto paper. The head unit 40 has a head 41. The head 41 has a plurality of nozzles, and ejects ink intermittently from each nozzle. The head 41 is provided on the carriage 31. Therefore, when the carriage 31 moves in the movement direction, the head 41 also moves in the movement direction. Then, by intermittently ejecting ink while the head 41 is moving in the moving direction, dot rows (raster lines) along the moving direction are formed on the paper.

  FIG. 4 is an explanatory diagram showing the arrangement of nozzles on the lower surface of the head 41. On the lower surface of the head 41, a black ink nozzle group K, a cyan ink nozzle group C, a magenta ink nozzle group M, and a yellow ink nozzle group Y are formed. Each nozzle group includes a plurality of nozzles that are ejection openings for ejecting ink of each color. The plurality of nozzles of each nozzle group are aligned at a constant interval (nozzle pitch: k · D) along the transport direction. Here, D is the minimum dot pitch in the carrying direction (that is, the interval at the highest resolution of dots formed on the paper S). K is 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. The nozzles of each nozzle group are assigned a smaller number as the nozzles on the downstream side (# 1 to # 180). Each nozzle is provided with an ink chamber (not shown) and a piezo element (not shown). The ink chamber is expanded and contracted by driving the piezo element, and ink droplets are ejected from the nozzle.

  The detector group 50 includes a linear encoder 51, a rotary encoder 52, a paper detection sensor 53, an optical sensor 54, and the like. The linear encoder 51 is for detecting the position of the carriage 31 in the moving 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 position of the leading edge of the paper to be printed. The optical sensor 54 is attached to the carriage 31. The optical sensor 54 detects the presence or absence of paper by the light receiving unit detecting reflected light of light irradiated on the paper from the light emitting unit.

  The controller 60 is a control unit for controlling the printer. The controller 60 includes an interface unit 61, a CPU 62, a memory 63, and a unit control circuit 64. The interface unit 61 is for transmitting and receiving data between the computer 110 which is an external device and the printer 1. 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 includes storage elements such as a RAM and an EEPROM. The CPU 62 controls each unit via the unit control circuit 64 in accordance with a program stored in the memory 63.

<Scanner>
FIG. 5A is a longitudinal sectional view of the scanner 150. FIG. 5B is a top view of the scanner 150 with the upper lid 151 removed.
The scanner 150 includes an upper cover 151, a document table glass 152 on which the document 5 is placed, a reading carriage 153 that moves in the sub-scanning direction while facing the document 5 through the document table glass 152, and a sub-scanning of the reading carriage 153. A guide member 154 for guiding in a direction, a moving mechanism 155 for moving the reading carriage 153, and a scanner controller (not shown) for controlling each part in the scanner 150 are provided. The reading carriage 153 receives an exposure lamp 157 for irradiating the original 5 with light, a line sensor 158 for detecting an image of a line in the main scanning direction (direction perpendicular to the paper surface in FIG. 5A), and reflected light from the original 5. An optical system 159 for guiding to the line sensor 158 is provided. A broken line inside the reading carriage 153 in the drawing indicates a locus of light.
When reading the image of the document 5, the operator opens the upper cover 151, places the document 5 on the document table glass 152, and closes the upper cover 151. Then, the scanner controller moves the reading carriage 153 along the sub-scanning direction with the exposure lamp 157 emitting light, and reads the image on the surface of the document 5 by the line sensor 158. The scanner controller transmits the read image data to the scanner driver of the computer 110, whereby the computer 110 acquires the image data of the document 5.

=== Printing method ===
<About printing operation>
FIG. 6 is a flowchart of processing during printing. Each process described below is executed by the controller 60 controlling each unit in accordance with a program stored in the memory 63. This program has a code for executing each process.

  Print command reception (S001): First, the controller 60 receives a print command from the computer 110 via the interface unit 61. This print command is included in the header of print data transmitted from the computer 110. Then, the controller 60 analyzes the contents of various commands included in the received print data, and performs the following paper feed processing / conveyance processing / dot formation processing using each unit.

  Paper Feed Process (S002): The paper feed process is a process for supplying paper to be printed into the printer and positioning the paper at a print start position (also referred to as a cue position). The controller 60 rotates the paper feed roller 21 and the transport roller 23 to position the paper at the print start position.

  Dot Formation Process (S003): The dot formation process is a process for forming dots on the paper by intermittently ejecting ink from the head 41 that moves along the movement direction. The controller 60 drives the carriage motor 32 to move the carriage 31 in the movement direction, and ejects ink from the head 41 based on the pixel data included in the print data while the carriage 31 is moving. When ink droplets ejected from the head 41 land on the paper, dots are formed on the paper. Since ink is intermittently ejected from the moving head 41, a dot row (raster line) composed of a plurality of dots along the moving direction is formed on the paper.

  Conveyance process (S004): The conveyance process is a process of moving the paper relative to the head in the conveyance direction. The controller 60 rotates the transport roller 23 to transport the paper in the transport direction. By this carrying process, the head 41 can form dots in the next dot forming process at a position different from the position of the dots formed by the previous dot forming process.

  Paper discharge determination (S005): The controller 60 determines whether or not to discharge the paper being printed. If data to be printed remains on the paper being printed, no paper is discharged. Then, the controller 60 alternately repeats the dot formation process and the conveyance process until there is no more data to be printed, and gradually prints an image composed of dots on paper.

  Paper Discharge Process (S006): When there is no more data to be printed on the paper being printed, the controller 60 discharges the paper by rotating the paper discharge roller. The determination of whether or not to discharge paper may be based on a paper discharge command included in the print data.

  Print end determination (S007): Next, the controller 60 determines whether or not to continue printing. If printing is to be performed on the next paper, printing is continued and the paper feeding process for the next paper is started. If printing is not performed on the next paper, the printing operation is terminated.

<Raster line formation>
First, normal printing will be described. Normal printing in this embodiment is performed by a printing method called interlaced printing. Here, “interlaced printing” means printing in which unrecorded raster lines are sandwiched between raster lines recorded in one pass. “Pass” refers to dot formation processing, and “pass n” refers to n-th dot formation processing. A “raster line” is a row of dots arranged in the moving direction, and is also called a dot line.

  7A and 7B are explanatory diagrams of normal printing. FIG. 7A shows the head position and dot formation in pass n to pass n + 3, and FIG. 7B shows the head position and dot formation in pass n to pass n + 4.

For convenience of explanation, only one nozzle group of a plurality of nozzle groups is shown, and the number of nozzles in the nozzle group is also reduced. Although the head 41 (or nozzle group) is depicted as moving with respect to the paper, this figure shows the relative position of the head 41 and the paper, Is moved in the transport direction. Also, for convenience of explanation, each nozzle is shown as having only a few dots (circles in the figure), but in reality, ink droplets are ejected intermittently from nozzles that move in the direction of movement. Therefore, a large number of dots are arranged in the moving direction (the row of dots is a raster line). Of course, the dot may not be formed depending on the pixel data.
In the figure, nozzles indicated by black circles are nozzles that can eject ink, and nozzles indicated by white circles are nozzles that cannot eject ink. Further, in the figure, the dot indicated by a black circle is a dot formed in the last pass, and the dot indicated by a white circle is a dot formed in the previous pass.

In this interlaced printing, each time the paper is transported at a constant transport amount F in the transport direction, each nozzle records a raster line immediately above the raster line recorded in the immediately preceding pass. In order to perform recording with a constant carry amount in this way, (1) the number N (integer) of nozzles that can eject ink is relatively prime to k, and (2) the carry amount F is N · The condition is that it is set to D. Here, N = 7, k = 4, F = 7 · D (D = 1/720 inch).
However, there are places where raster lines cannot be formed continuously in the transport direction only by this normal printing. Therefore, printing methods called leading edge printing and trailing edge printing are performed before and after normal printing.

FIG. 8 is an explanatory diagram of leading edge printing and trailing edge printing. The first five passes are leading edge printing, and the last five passes are trailing edge printing.
In front-end printing, when the vicinity of the front end of a print image is printed, the paper is transported by a transport amount (1 · D or 2 · D) smaller than the transport amount (7 · D) during normal printing. In front-end printing, the nozzles that eject ink are not constant. In the trailing edge printing, as in the leading edge printing, when the vicinity of the trailing edge of the print image is printed, the conveying amount (1 · D or 2 · D) is smaller than the conveying amount (7 · D) during normal printing. Then, the paper is conveyed. Further, in the rear end printing, the nozzles that eject ink are not constant, as in the front end printing. As a result, a plurality of raster lines arranged continuously in the transport direction can be formed between the first raster line and the last raster line.

  An area where a raster line is formed only by normal printing is called a “normal printing area”. An area located on the leading edge side (downstream in the transport direction) of the paper from the normal printing area is referred to as a “leading edge printing area”. An area located on the rear end side (upstream side in the transport direction) of the normal print area is referred to as a “rear end print area”. Thirty raster lines are formed in the leading edge printing area. Similarly, 30 raster lines are also formed in the trailing edge printing area. On the other hand, approximately several thousand raster lines are formed in the normal print area, although it depends on the size of the paper.

  The arrangement of raster lines in the normal print area has regularity for each number of raster lines (here, 7) corresponding to the carry amount. The first to seventh raster lines in the normal printing region in FIG. 8 are formed by nozzle # 3, nozzle # 5, nozzle # 7, nozzle # 2, nozzle # 4, nozzle # 6, and nozzle # 8, respectively. The next eight and subsequent raster lines are also formed by the nozzles in the same order. On the other hand, it is difficult to find regularity in the arrangement of raster lines in the leading edge printing area and the trailing edge printing area as compared with the raster lines in the normal printing area.

=== Density Density Correction (Outline) ===
<About density unevenness (banding)>
Here, for the sake of simplification of description, the cause of density unevenness occurring in an image printed in a single color will be described. In the case of multicolor printing, the cause of density unevenness described below occurs for each color.

  In the following description, the “unit area” refers to a rectangular area virtually defined on a medium such as paper, and the size and shape are determined according to the printing resolution. For example, when the printing resolution is 720 dpi (moving direction) × 720 dpi (conveying direction), the unit area has a square shape with a size of about 35.28 μm × 35.28 μm (≈ 1/720 inch × 1/720 inch). Become an area. When the print resolution is 360 dpi × 720 dpi, the unit area is a rectangular area having a size of about 70.56 μm × 35.28 μm (≈ 1/360 inch × 1/720 inch). When an ink droplet is ideally ejected, the ink droplet lands on the center position of the unit region, and then the ink droplet spreads on the medium to form a dot in the unit region. One unit area corresponds to one pixel constituting image data. In addition, since a pixel is associated with each unit area, pixel data of each pixel is also associated with each unit area.

  Further, in the following description, “row region” refers to a region constituted by a plurality of unit regions arranged in the moving direction. For example, when the print resolution is 720 dpi × 720 dpi, the row region is a band-like region having a width of 35.28 μm (≈ 1/720 inch) in the transport direction. When ink droplets are ideally intermittently ejected from the nozzle moving in the moving direction, a raster line is formed in this row region. A plurality of pixels arranged in the movement direction are associated with the row area.

  FIG. 9A is an explanatory diagram of a state when dots are ideally formed. In the figure, since dots are ideally formed, each dot is accurately formed in the unit region, and the raster line is accurately formed in the row region. In the figure, the row region is shown as a region sandwiched between dotted lines, and here is a region having a width of 720 dpi. In each row region, an image piece having a density corresponding to the coloring of the region is formed. Here, for simplification of explanation, it is assumed that an image having a constant density is printed so that the dot generation rate is 50%.

FIG. 9B is an explanatory diagram of the influence of variations in nozzle processing accuracy. Here, a raster line formed in the second row region is formed closer to the third row region (upstream in the transport direction) due to variations in the flight direction of the ink droplets ejected from the nozzles. Further, the amount of ink droplets ejected toward the fifth row region is small, and the dots formed in the fifth row region are small.
Although the image pieces having the same density should be formed in each row area originally, the image pieces are shaded according to the row areas due to variations in processing accuracy. For example, the image piece in the second row region is relatively light and the image piece in the third row region is relatively dark. Further, the image piece in the fifth row region becomes relatively light.
When the print image composed of such raster lines is viewed macroscopically, stripe-shaped density unevenness along the moving direction of the carriage is visually recognized. This density unevenness causes a reduction in image quality of the printed image.

  FIG. 9C is an explanatory diagram showing a state when dots are formed by the printing method of the present embodiment. In the present embodiment, the gradation value of the pixel data (CMYK pixel data) of the pixel corresponding to the row region is corrected so that a dark image piece is formed in the row region that is dark and easily visible. Further, the gradation value of the pixel data of the pixel corresponding to the row region is corrected so that a dark image piece is formed in a row region that is easily viewed. For example, the dot generation rate of the second row region in the figure is increased, the dot generation rate of the third row region is decreased, and the dot generation rate of the fifth row region is increased. The gradation value of the pixel data of the pixel corresponding to the column area is corrected. As a result, the dot generation rate of the raster lines in each row area is changed, the density of the image pieces in the row area is corrected, and density unevenness of the entire print image is suppressed.

  Incidentally, in FIG. 9B, the reason why the density of the image piece formed in the third row region is high is not due to the influence of the nozzles forming the raster line in the third row region, but the adjacent second row. This is due to the influence of nozzles that form raster lines in the region. For this reason, when a nozzle that forms a raster line in the third row region forms a raster line in another row region, the image piece formed in that row region is not always dark. That is, even if the image pieces are formed by the same nozzle, the density may be different if the nozzles that form adjacent image pieces are different. In such a case, the density unevenness cannot be suppressed with the correction value simply associated with the nozzle. Therefore, in this embodiment, the gradation value of the pixel data is corrected based on the correction value set for each row area.

For this reason, in this embodiment, in the inspection process of the printer manufacturing factory, the printer prints a correction pattern, reads the correction pattern with a scanner, and determines each column area based on the density of each column area in the correction pattern. Is stored in the memory of the printer. The correction value stored in the printer reflects the density unevenness characteristic of each printer.
Then, under the user who purchased the printer, the printer driver reads the correction value from the printer, corrects the gradation value of the pixel data based on the correction value, and generates print data based on the corrected gradation value Then, the printer performs printing based on the print data.

<About processing at printer manufacturing plants>
FIG. 10 is a flowchart of the correction value acquisition process performed in the inspection process after manufacturing the printer.

  First, the inspector connects the printer 1 to be inspected to the computer 110 in the factory (S101). The computer 110 in the factory is also connected to the scanner 150, and in advance a printer driver for causing the printer 1 to print a test pattern, a scanner driver for controlling the scanner 150, and a correction read from the scanner. A correction value acquisition program for performing image processing, analysis, and the like on the pattern image data is installed.

Next, the printer driver of the computer 110 causes the printer 1 to print a test pattern (S102).
FIG. 11 is an explanatory diagram of a test pattern. FIG. 12 is an explanatory diagram of a correction pattern. In the test pattern, four correction patterns are formed for each color. Each correction pattern is composed of a band-shaped pattern of five types of density, an upper ruled line, a lower ruled line, a left ruled line, and a right ruled line. The belt-like patterns are each generated from image data having a constant gradation value, and the gradation values 76 (density 30%), 102 (density 40%), and 128 (density 50%) are sequentially from the left belt-like pattern. , 153 (density 60%) and 179 (density 70%), and the patterns are darker in order. These five types of gradation values (density) are referred to as “command gradation values (command density)” and are represented by symbols Sa (= 76), Sb (= 102), Sc (= 128), Sd (= 153) and Se (= 179). Since each belt-like pattern is formed by leading edge printing, normal printing, and trailing edge printing, it is composed of a raster line in the leading edge printing area, a raster line in the normal printing area, and a raster line in the trailing edge printing area. In normal printing, thousands of raster lines are formed in the normal printing area, but in printing the correction pattern, raster lines for eight cycles are formed in the normal printing area. Here, for simplification of explanation, it is assumed that the correction pattern is printed by the printing of FIG. 8, and the belt-like pattern has 30 raster lines in the front-end printing region and 56 normal printing regions (7 × 8 cycles). , And a total of 116 raster lines including 30 raster lines in the trailing edge printing area. The upper ruled line is formed by the first raster line (raster line on the most downstream side in the transport direction) constituting the belt-like pattern. The lower ruled line is formed by the final raster line (raster line on the most upstream side in the transport direction) constituting the belt-like pattern.

  Next, the inspector places the test pattern printed by the printer 1 on the platen glass 152 of the scanner 150, closes the upper cover 151, and sets the test pattern on the scanner 150. Then, the scanner driver of the computer 110 causes the scanner 150 to read the correction pattern (S103). Hereinafter, reading of a cyan correction pattern will be described (the reading of correction patterns for other colors is performed in the same manner).

  FIG. 13 is an explanatory diagram of the reading range of the cyan correction pattern. The range of the alternate long and short dash line surrounding the cyan correction pattern is the reading range when reading the cyan correction pattern. Parameters SX1, SY1, SW1, and SH1 for specifying this range are set in advance in the scanner driver by the correction value acquisition program. If the scanner 150 reads this range, the entire cyan correction pattern can be read even if the test pattern is set to the scanner 150 with a slight shift. By this processing, the image in the reading range in the drawing is read by the computer 110 as rectangular image data having a resolution of 2880 × 2880 dpi.

Next, the correction value acquisition program of the computer 110 detects the inclination θ of the correction pattern included in the image data (S104), and performs a rotation process on the image data according to the inclination θ (S105).
FIG. 14A is an explanatory diagram of image data at the time of tilt detection. FIG. 14B is an explanatory diagram of detection of the position of the upper ruled line. FIG. 14C is an explanatory diagram of the image data after the rotation process. The correction value acquisition program includes KX1 pixel data from the left and KH pixel data from the top, and KX2 pixel data from the left and KH pixels from the top among the read image data. Retrieve the data. The parameters KX1, KX2, and KH are determined in advance so that the pixels extracted at this time include the upper ruled line and do not include the right ruled line and the left ruled line. Then, the correction value acquisition program obtains the gravity center positions KY1 and KY2 of the gradation values of the extracted KH pieces of pixel data in order to detect the position of the upper ruled line. Then, the correction value acquisition program calculates the inclination θ of the correction pattern based on the parameters KX1 and KX2 and the barycentric positions KY1 and KY2, and the rotation of the image data based on the calculated inclination θ. Process.
θ = tan ⁻¹ {(KY2-KY1) / (KX2-KX1)}

Next, the correction value acquisition program of the computer 110 trims unnecessary pixels from the image data (S106).
FIG. 15A is an explanatory diagram of image data at the time of trimming. FIG. 15B is an explanatory diagram of a trimming position on the upper ruled line. Similar to the processing in step S104, the correction value acquisition program includes pixel data of KX1 pixels from the left and KH pixels from the top, and KX2 pixels from the left, from the rotated image data. Thus, pixel data of KH pixels are extracted from the top. Then, in order to detect the position of the upper ruled line, the correction value acquisition program obtains the gravity center positions KY1 and KY2 of the gradation values of the extracted KH pixel data, and calculates the average value of the two gravity center positions. Then, the nearest pixel boundary is determined as a trimming position at a position that is ½ the width of the row area from the center of gravity position. In this embodiment, since the resolution of the image data is 2880 dpi and the width of the row area is 720 dpi, ½ of the width of the row area corresponds to the width of two pixels. Then, the correction value acquisition program cuts out the pixels above the determined trimming position and performs trimming.

  FIG. 15C is an explanatory diagram of the trimming position at the lower ruled line. As in the upper ruled line side, the correction value acquisition program includes KX1 pixel data from the left, KH pixel data from the bottom, and KX2 pixels from the left, among the rotated image data. Then, the pixel data of KH pixels are taken out from the bottom, and the barycentric position of the lower ruled line is calculated. Then, the nearest pixel boundary is determined as the trimming position at a position that is ½ the width of the row area from the center of gravity position. Then, the correction value acquisition program cuts out pixels below the trimming position and performs trimming.

Next, the correction value acquisition program of the computer 110 converts the resolution of the trimmed image data so that the number of pixels in the Y direction is 116 (the same number as the number of raster lines constituting the correction pattern) (S107). ).
FIG. 16 is an explanatory diagram of resolution conversion. If the printer 1 ideally forms a correction pattern including 116 raster lines of 720 dpi, and the scanner 150 ideally reads the correction pattern at 2880 dpi (4 times the resolution of the correction pattern), trimming is performed. The number of pixels in the Y direction of the subsequent image data should be 464 (= 116 × 4). However, in actuality, there are cases where the number of pixels in the Y direction of the image data does not become 464 due to the influence of misalignment during printing or reading. Here, the number of pixels in the Y direction of the image data after trimming is 470. The correction value acquisition program of the computer 110 uses the magnification of 116/470 (= [number of raster lines constituting the correction pattern] / [number of pixels in the Y direction of the trimmed image data]) for this image data. To perform resolution conversion (reduction processing). Here, the bicubic method is used for resolution conversion. As a result, the number of pixels in the Y direction of the image data after resolution conversion becomes 116. In other words, the image data of the correction pattern of 2880 dpi is converted into the image data of the correction pattern of 720 dpi. As a result, the number of pixels arranged in the Y direction and the number of column regions are the same, and the pixel columns and column regions in the X direction have a one-to-one correspondence. For example, the pixel column in the X direction positioned at the top corresponds to the first column region, and the pixel column positioned below corresponds to the second column region. In this resolution conversion, since the purpose is to set the number of pixels in the Y direction to 116, resolution conversion (reduction processing) in the X direction may not be performed.

  Next, the correction value acquisition program of the computer 110 measures the density of each of the five types of belt-like patterns in each row region (S108). Hereinafter, the measurement of the density of the left band-shaped pattern formed with the gradation value 76 (density 30%) in the first row area will be described (note that the measurement in the other row areas is performed in the same manner. The density of the belt-like pattern is also measured in the same manner).

  FIG. 17A is an explanatory diagram of image data when the left ruled line is detected. FIG. 17B is an explanatory diagram of detection of the position of the left ruled line. FIG. 17C is an explanatory diagram of the measurement range of the density of the band-like pattern having a density of 30% in the first row region. The correction value acquisition program extracts pixel data of KX pixels from the left, which are H2 pixels from the top, from the resolution-converted image data. The parameter KX is determined in advance so that the left ruled line is included in the pixels extracted at this time. Then, the correction value acquisition program obtains the barycentric position of the gradation values of the pixel data of the extracted KX pixels in order to detect the position of the left ruled line. It is known from the shape of the correction pattern that a strip-shaped pattern having a width of W3 and having a density of 30% is present to the right of X2 from the position of the center of gravity (the position of the left ruled line). Accordingly, the correction value acquisition program extracts pixel data in a dotted line range excluding the left and right W4 ranges of the belt-like pattern with reference to the center of gravity position, and calculates an average value of gradation values of the pixel data in this range as 1 The measured value of the density in the second row region is 30%. Note that when measuring the density of a strip-like pattern having a density of 30% in the first row region, pixel data in a range one pixel below the dotted line range in the figure is extracted. In this way, the correction value acquisition program measures the density of the five types of belt-like patterns for each row region.

  FIG. 18 is a measurement value table summarizing the measurement results of the densities of the five types of cyan belt-like patterns. As described above, the correction value acquisition program of the computer 110 creates a measurement value table by associating the measurement values of the density of the five types of belt-like patterns for each row region. A measurement value table is also created for other colors. In the following description, the measured values of the band-shaped pattern of the gradation values Sa to Se are set to Ca to Ce for a certain row region, respectively.

  FIG. 19 is a graph of measured values of a band-like pattern having a cyan density of 30%, a density of 40%, and a density of 50%. Although each belt-like pattern is uniformly formed with each command gradation value, shading is generated for each row region. The density difference for each row area is a cause of density unevenness in the printed image.

  In order to eliminate the density unevenness, it is desirable that the measured value of each strip pattern is constant. Therefore, a process for making the measurement value of the belt-like pattern having the gradation value Sb (density 40%) constant will be considered. Here, the average value Cbt of the measurement values of all the row regions of the strip-like pattern having the gradation value Sb is determined as a target value of 40% density. In the row region i where the measurement value is lighter than the target value Cbt, in order for the density measurement value to approach the target value Cbt, it is considered that the gradation value should be corrected to be darker. On the other hand, in the row region j where the measured value is darker than the target value Cbt, in order for the measured value of density to approach the target Cbt, it is considered that the gradation value should be corrected to be lighter.

  Therefore, the correction value acquisition program of the computer 110 calculates a correction value corresponding to the row region (S109). Here, calculation of the correction value for the command gradation value Sb in a certain row region will be described. As will be described below, the correction value for the command gradation value Sb (density 40%) in the row region i of FIG. 19 is calculated based on the measured values of the gradation value Sb and the gradation value Sc (density 50%). Is done. On the other hand, the correction value for the command gradation value Sb (density 40%) of the row region j is calculated based on the measured values of the gradation value Sb and the gradation value Sa (density 30%).

FIG. 20A is an explanatory diagram of the target command tone value Sbt with respect to the command tone value Sb in the row region i. In this row area, the measured value Cb of the density of the strip pattern formed with the command tone value Sb shows a tone value smaller than the target value Cbt (in this row area, the average density of the strip pattern having a density of 40%. Paler). If the printer driver causes the printer to form a density pattern of the target value Cbt in this row area, the printer driver is instructed based on the target instruction gradation value Sbt calculated by the following equation (linear interpolation based on the straight line BC). That's fine.
Sbt = Sb + (Sc−Sb) × {(Cbt−Cb) / (Cc−Cb)}
FIG. 20B is an explanatory diagram of the target command tone value Sbt with respect to the command tone value Sb in the row region j. In this row area, the measured value Cb of the density of the strip pattern formed with the command tone value Sb shows a tone value larger than the target value Cbt (in this row area, the average density of the strip pattern having a density of 40%. Darker). If the printer driver causes the printer to form a density pattern of the target value Cbt in this row area, the printer driver is instructed based on the target instruction gradation value Sbt calculated by the following equation (linear interpolation based on the straight line AB). That's fine.
Sbt = Sb− (Sb−Sa) × {(Cbt−Cb) / (Ca−Cb)}
After calculating the target command tone value Sbt in this way, the correction value acquisition program calculates a correction value Hb for the command tone value Sb in this row region by the following equation.
Hb = (Sbt−Sb) / Sb

  The correction value acquisition program of the computer 110 calculates a correction value Hb for the gradation value Sb (density 40%) for each row region. Similarly, the correction value acquisition program calculates the correction value Hc for the gradation value Sc (density 50%) for each column region based on the measurement value Cc of each column region and the measurement value Cb or Cd. To do. Similarly, the correction value acquisition program calculates the correction value Hd for the gradation value Sd (density 60%) for each column region based on the measurement value Cd of each column region and the measurement value Cc or Ce. To do. For other colors, three correction values (Hb, Hc, Hd) are calculated for each row region.

  By the way, although there are 56 raster lines in the normal print area, there is regularity for every 7 raster lines. This regularity is taken into account when calculating the correction value for the normal printing area.

  When the correction value acquisition program calculates a correction value in the first row area of the normal print region (the 31st row region of the entire print region), the above-described measurement value Ca includes the values 1, 8, and The average value of the measured values of the density of 30% in the 15th, 22th, 29th, 36th, 43rd, and 50th eight row regions is used. Similarly, when calculating the correction value in the first row region of the normal print region (the 31st row region of the entire print region), the above-described measured values Cb to Ce include 1, 8, 15 of the normal print region. , 22, 29, 36, 43, and 50, the average values of the measured values of the respective densities in the row regions of the eight row regions are used. Then, as described above, the correction values (Hb, Hc, Hd) of the first row area of the normal print area are calculated based on the measured values Ca to Ce. As described above, the correction value of the row region of the normal print region is calculated based on the average of the measured values of the respective densities of every eighth row region. As a result, in the normal print region, correction values are calculated only for the first to seventh row regions, and correction values are not calculated for the eighth to 56th row regions. In other words, the correction values for the first to seventh seven row regions of the normal print region also become correction values for the eighth to 56th row regions.

Next, the correction value acquisition program of the computer 110 stores the correction value in the memory 63 of the printer 1 (S110).
FIG. 21 is an explanatory diagram of a cyan correction value table. There are three types of correction value tables, one for the front end print area, one for the normal print area, and one for the rear end print area. In each correction value table, three correction values (Hb, Hc, Hd) are associated with each row region. For example, three correction values (Hb_n, Hc_n, Hd_n) are associated with the nth raster line in each row region. The three correction values (Hb_n, Hc_n, Hd_n) correspond to the command gradation values Sb (= 102), Sc (= 128), and Sd (= 153), respectively. The same applies to correction value tables for other colors.

  After the correction value is stored in the memory 63 of the printer 1, the correction value acquisition process ends. Thereafter, the connection between the printer 1 and the computer 110 is disconnected, the other inspections for the printer 1 are finished, and the printer 1 is shipped from the factory. The printer 1 also includes a CD-ROM that stores a printer driver.

<About processing under the user>
FIG. 22 is a flowchart of processing performed under the user.
The user who purchased the printer 1 connects the printer 1 to the computer 110 owned by the user (of course, a computer different from the computer at the printer manufacturing factory) (S201, S301). Note that the scanner 150 may not be connected to the user's computer 110.

Next, the user sets the enclosed CD-ROM in the recording / reproducing apparatus 140 and installs the printer driver (S202). The printer driver installed in the computer requests the computer 110 to transmit correction values to the printer 1 (S203). In response to the request, the printer 1 transmits the correction value table stored in the memory 63 to the computer 110 (S302). The printer driver stores the correction value sent from the printer 1 in the memory (S204). Thereby, a correction value table is created on the computer side. After completing the processing so far, the printer driver enters a standby state until a print command is received from the user (NO in S205).
Upon receiving a print command from the user (YES in S205), the printer driver generates print data based on the correction value (S206) and transmits the print data to the printer 1. The printer 1 performs a printing process according to the print data (S303).

FIG. 23 is a flowchart of print data generation processing. These processes are performed by the printer driver.
First, the printer driver performs resolution conversion processing (S211). The resolution conversion process is a process for converting image data (text data, image data, etc.) output from an application program into a resolution for printing on paper. For example, when the resolution when printing an image on paper is specified as 720 × 720 dpi, the image data received from the application program is converted into image data having a resolution of 720 × 720 dpi. Note that the image data after the resolution conversion process is 256-gradation data (RGB data) represented by an RGB color space.

  Next, the printer driver performs a color conversion process (S212). The color conversion process is a process for converting RGB data into CMYK data represented by a CMYK color space. This color conversion process is performed by the printer driver referring to a table (color conversion lookup table LUT) in which the gradation values of RGB data and the gradation values of CMYK data are associated with each other. Through this color conversion process, RGB data for each pixel is converted into CMYK data corresponding to the ink color. The data after the color conversion processing is CMYK data with 256 gradations represented by the CMYK color space.

Next, the printer driver performs density correction processing (S213). The density correction process is a process for correcting the gradation value of each pixel data based on the corresponding correction value of the column region to which the pixel data belongs.
FIG. 24 is an explanatory diagram of density correction processing for the nth row region of cyan. This figure shows how the gradation value S_in of the pixel data of the pixels belonging to the nth row region of cyan is corrected. Note that the corrected gradation value is S_out.
If the gradation value S_in of the pixel data before correction is the same as the command gradation value Sb, the printer driver corrects the gradation value S_in to the target instruction gradation value Sbt, and the corresponding unit of the pixel data. An image having the target density Cbt can be formed in the region. That is, if the gradation value S_in of the pixel data before correction is the same as the command gradation value Sb, the gradation value S_in (= Sb) is set to Sb × using the correction value Hb corresponding to the command gradation value Sb. It is good to correct to (1 + Hb). Similarly, if the gradation value S of the pixel data before correction is the same as the command gradation value Sc, the gradation value S_in (= Sc) is preferably corrected to Sc × (1 + Hc).

  On the other hand, when the gradation value S_in before correction is different from the command gradation value, the gradation value S_out to be output is calculated by linear interpolation as shown in the figure. In the linear interpolation in the figure, linear interpolation is performed between the corrected gradation values S_out (Sbt, Sct, Sdt) corresponding to the command gradation values (Sb, Sc, Sd). However, the present invention is not limited to this. For example, the correction value H corresponding to the gradation value S_in is calculated by linearly interpolating between the correction values (Hb, Hc, Hd) corresponding to each command gradation value, and the correction value H is calculated based on the calculated correction value H. The corrected gradation value may be calculated as S_in × (1 + H).

  For the pixel data in the first to thirty-th column areas of the leading edge printing area, the printer driver corresponds to the first to thirty-th column areas stored in the correction value table for the leading edge printing area. Based on the correction value, density correction processing is performed. For example, for the pixel data in the first row area of the leading edge printing area, the printer driver uses the correction values (Hb_1, Hc_1, Hd_1) of the first row area in the correction value table for leading edge printing. Density correction processing is performed.

  Similarly, for the pixel data in the first to seventh column regions (the 31st to 38th column regions of the entire print region) of the normal print region, the printer driver corrects the correction value for the normal print region. Density correction processing is performed based on the correction values corresponding to the first to seventh row regions stored in the table. However, although there are thousands of row regions in the normal print region, only the correction values corresponding to the seven row regions are stored in the correction value table for the normal print region. Therefore, for the pixel data in the eighth to fourteenth row areas of the normal print area, the printer driver stores the first to seventh row areas stored in the correction value table for the normal print area. Based on the corresponding correction value, density correction processing is performed. As described above, for the row region of the normal print region, the printer driver repeatedly uses the correction values corresponding to the first to seventh row regions for every seven row regions. Since the regular printing area has regularity for every seven row areas, the density unevenness characteristic is considered to be repeated in the same cycle. Therefore, the correction value data to be stored can be stored by repeatedly using the correction value in the same cycle. The amount is reduced.

Although the number of normal print areas of the correction pattern is 56, the number of the normal print areas of the print image printed by the user is larger than this, reaching several thousand. . A trailing edge printing area composed of 30 row areas is formed on the upstream side of the normal printing area in the transport direction (the trailing edge side of the paper).
In the trailing edge printing area, similarly to the leading edge printing area, the printer driver stores the pixel data in the first to thirty-th column areas of the trailing edge printing area in the correction value table for the trailing edge printing area. The density correction processing is performed based on the correction values corresponding to the first to thirty-th row regions.

  With the above-described density correction processing, a column area that is easily visually recognized as dark is corrected so that the gradation value of the pixel data (CMYK data) of the pixel corresponding to the column area becomes low. On the other hand, for a column region that is faint and easily visible, correction is performed so that the gradation value of the pixel data of the pixel corresponding to the column region is high. Note that the printer driver performs the correction process in the same manner for other row regions of other colors.

  Next, the printer driver performs halftone processing (S214). The halftone process is a process for converting high gradation number data into gradation number data that can be formed by a printer. For example, data representing 256 gradations is converted into 1-bit data representing 2 gradations or 2-bit data representing 4 gradations by halftone processing. In the halftone process, pixel data is created by using a dither method, γ correction, error diffusion method, or the like so that the printer can form dots dispersedly. When performing halftone processing, the printer driver refers to the dither table when performing dithering, refers to the gamma table when performing γ correction, and stores diffused errors when performing error diffusion. Refer to the error memory. The data subjected to the halftone process has a resolution (for example, 720 × 720 dpi) equivalent to the RGB data described above.

  In the present embodiment, the printer driver performs halftone processing on the pixel data of the gradation value corrected by the density correction processing. As a result, in a row region that is dark and easily visible, the tone value of the pixel data in the row region is corrected to be low, so the dot generation rate of the dots that make up the raster line in the row region is low. On the other hand, the dot generation rate is high in the row region that is easily recognized visually.

Next, the printer driver performs rasterization processing (S215). The rasterization process is a process of changing matrix image data in the order of data to be transferred to the printer. The rasterized data is output to the printer as pixel data included in the print data.
If the printer performs a printing process based on the print data generated in this way, as shown in FIG. 9C, the dot generation rate of the raster line in each row area is changed, and the density of the image pieces in the row area is corrected. Thus, density unevenness of the entire printed image is suppressed.

  In the above description, the number of nozzles and the number of row regions (number of raster lines) are reduced for the sake of simplicity of description, but in practice, the number of nozzles is 180, for example, the row region of the leading edge print region. Will be 360. However, the processing performed by the correction value acquisition program, printer driver, and the like is substantially the same.

=== Detailed Description of Processing of the Present Embodiment (1) ===
<Discontinuity of correction value>
FIG. 25A is a graph of measured values of the density of each row region of a 30% density belt-like pattern when the scanner is normal. When the scanner is normal, the measurement values are distributed in the vicinity of the average value Cbt of the measurement values in all the row regions.
FIG. 25B is a graph of the measured values of the density of each row region of the belt-like pattern having a density of 30% when the scanner is abnormal. For example, if the guide member 154 (see FIG. 5A) of the scanner 150 is attached obliquely, or if the upper cover 151 is not closed sufficiently and the document 5 is floating, the reading carriage 153 is moved according to the position in the sub-scanning direction. The optical distance between the document 5 and the line sensor 158 varies. As a result, when the output result of the line sensor 158 changes according to the position of the reading carriage 153 in the sub-scanning direction, the measurement value changes according to the position of the row region, and the measurement value may be inclined overall. is there.

  FIG. 31A is a graph of correction values of the comparative example. In the comparative example, unlike the above-described embodiment, the correction value of each row area is calculated in accordance with the measurement value of each row area, and the measurement of every seventh row area is used to calculate the correction value of the normal print area. The average value is not used. In the comparative example, when the measurement value is tilted according to the position of the row area, the correction value calculated based on the measurement value is also tilted according to the position of the row area. For example, in the row region on the front end side, since the density is measured higher than the actual density, a correction value (negative correction value) that sets the gradation value S_in lower than necessary is set. On the other hand, in the row region on the rear end side, since the measurement is lighter than the actual density, a correction value (a positive correction value) that sets the gradation value S_in higher than necessary is set. As described above, as a result of the correction value being inclined according to the position of the row region, the print image whose density has been corrected is printed so as to gradually darken from the front end side toward the rear end side. However, since the density difference between adjacent row regions is slight, the deterioration of image quality is not noticeable.

  By the way, as described above, in the normal print area, as the measurement values used when calculating the correction value, every eight row areas (for example, 1, 8, 15, 22, 29, The average value of the measured values of the 36th, 43rd, and 50th eighth row regions) is used.

  FIG. 26A and FIG. 26B are obtained by sequentially arranging the measurement values used when calculating the correction value. FIG. 26A is a graph when the scanner is normal, and FIG. 26B is a graph when the scanner is abnormal. The measured values in the leading and trailing print areas are the same as those in FIG. 25A and FIG. 25B, but the seven measured values in the normal print area are 8 row areas every other seven. Is the average value of the measured values.

Here, in order to pay attention to the boundary between the leading printing area and the normal printing area, the measured value of the density in the 30th row area of the leading printing area and the first row area of the normal printing area (the 31st printing area in the whole printing) Pay attention to the measured value (average value) of the density in the column region.
When calculating the correction value for the leading edge printing area, the measured value of the density of the leading edge printing area is used as it is. For this reason, when there is an abnormality in the scanner, the measurement value measured to be darker than the actual density is used as it is when calculating the correction value.

On the other hand, when calculating the correction value for the normal print area, the average value of every eight row areas is used. The density of the first row area in the normal print area is measured to be darker than the actual density, but the density is gradually measured lighter in the row area on the upstream side in the transport direction (for example, the 50th row area). For this reason, the average value of the measured values of the first, eighth, 15, 22, 22, 29, 36, 43, and 50th row regions in the normal print region is greater than the measured value of the first row region in the normal print region Is also low.
As a result, the measured values of the density in the 30th row area of the leading print area and the density of the normal print area in the first printed area to the 30th line area of the leading print area are continuously inclined. The measured value becomes discontinuous between the measured value (average value) of the density in the first row region.

FIG. 31B is a graph of the correction value of the present embodiment when the measured value is tilted. When the measurement value becomes discontinuous at the boundary of the print area, the correction value calculated based on the measurement value also becomes discontinuous. As a result, it is conspicuous that the image on the most upstream side in the transport direction of the front end print area (the image piece in the 30th row area of the front end print area) is darker than the image in the normal print area.
Similarly, between the measured value (average value) of the seventh row area in the normal print area and the measured value (as-is value) of the density in the first row area of the trailing edge print area, The measurement value becomes discontinuous, and the correction value calculated based on the measurement value also becomes discontinuous. As a result, it is conspicuous that the image on the most downstream side in the conveyance direction of the trailing edge printing area (the image piece in the first row area in the trailing edge printing area) is lighter than the image in the normal printing area. .

FIG. 27 is an explanatory diagram of the density of the boundary between the front print area and the normal print area and the density of the boundary between the normal print area and the rear print area. In order to simplify the description, it is assumed that the image data that is the basis of the print image is an image having a uniform density. (In FIG. 27, the density of each print area is drawn constant for the sake of simplicity of explanation.)
As described above, when the measurement value is inclined as a whole due to the abnormality of the scanner, when the density correction process is performed, the difference in light and dark becomes conspicuous at the boundary of the print area.

<About correction of correction value>
FIG. 32A is an explanatory diagram before correction value correction. FIG. 32B is an explanatory diagram after correction value correction. Here, first, the tip side correction value will be described.
First, the correction value acquisition program extracts correction values for five row regions before and after the boundary of the print region in order to calculate the front end side correction value. Here, the correction value acquisition program takes out the correction values of the 25th to 30th row regions of the leading print region and the correction values of the 1st to 5th row regions of the normal print region.
Then, the correction value acquisition program calculates an average value of the correction values of the five extracted row areas for each print area. Here, the correction value acquisition program calculates the average value of the correction values of the 25th to 30th row regions of the leading print region and the average value of the correction values of the 1st to 5th row regions of the normal print region, respectively. calculate.

  Next, the correction value acquisition program calculates the difference between the average value of the leading edge printing area and the average value of the normal printing area, and sets this value as the leading edge correction value. Here, the correction value acquisition program calculates the leading end correction value by subtracting the average value of the leading end printing area from the average value of the normal printing area.

  Next, the correction value acquisition program corrects the correction value by adding the correction value on the leading edge side to each correction value in the leading edge printing area. As a result, in FIG. 32B, each correction value of the leading edge print area that was the value indicated by the dotted line before the correction becomes the value indicated by the solid line after the correction. That is, the correction value of the leading edge print area is corrected so that the difference between the correction value of the leading edge printing area and the correction value of the normal printing area becomes small. Thereby, after the correction value is corrected, the discontinuity between the correction value of the leading print area and the correction value of the normal print area is reduced.

  Similarly, the correction value acquisition program calculates the rear end correction value at the boundary between the normal print area and the rear print area, and adds the rear end correction value to each correction value in the rear print area, Correct the correction value. As a result, the density difference between the image in the trailing edge print area and the image in the normal print area becomes smaller.

  Thereafter, the correction value acquisition program stores the correction value thus corrected in the memory 63 of the printer 1 (S110). Under the user, the printer driver performs density correction processing based on the corrected correction value to generate print data, and the printer performs printing based on the print data.

  In the present embodiment, for example, an image on the most upstream side in the transport direction of the front end print area (an image piece in the 30th row area of the front end print area) has a smaller grayscale difference than an image in the normal print area, and the print area The difference in shading at the border becomes inconspicuous. In the present embodiment, for example, the image on the most downstream side in the transport direction of the trailing edge printing area (the image piece in the first row area of the trailing edge printing area) has a small difference in contrast to the image in the normal printing area. As a result, the density difference at the boundary of the print area becomes inconspicuous.

=== Detailed Description of Processing of the Present Embodiment (2) ===
<Influence of gradient of measured value of concentration>
FIG. 28 is a graph of measured values (average values) for one cycle of the normal print region. The thin line graph is when the measured value has no inclination, and the thick line graph is when the measured value has an inclination. Here, in order to make the explanation easy to understand, the gradient of the measured value is increased as compared with the above-described graph.

  As already described, in the normal printing area, the average value of the measurement values of every other eight row areas is used as the measurement value used when calculating the correction value. Here, the average value of the measured values of the 8th row area of the first, eighth, fifteenth, twenty-second, twenty-ninth, thirty-sixth and fifty-th row areas of the normal print area and the seventh, 14, 21, 21, 28, and 35 of the normal print area , 42, 49, and 56, when compared with the average value of the eight row regions, the former is more easily measured than the latter. That is, the measured value (average value) of the density for one cycle of the normal printing region also decreases as a whole. As described above, when the measurement value (average value) is tilted according to the position of the row region within one period, the correction value calculated based on the measurement value is also tilted according to the position of the row region. As a result, when the density correction processing is performed and printing is performed, printing is performed so that the density gradually increases in one row of row regions.

  In the normal printing area, the correction value for the row area for one cycle is repeatedly used for every seven row areas. For this reason, after applying the correction value of the seventh row area as the correction value of a certain row area, the correction value of the first row area is applied as the correction value of the row area adjacent upstream in the transport direction. . As a result, a relatively dark image (an image piece of a row region to which the correction value of the seventh row region is applied) in a cycle is applied to a relatively light image (the correction value of the first row region). The adjacent image pieces in the row area) are adjacent to each other, and the difference in shading is conspicuous. Moreover, such a conspicuous portion of the difference in density occurs every cycle.

  FIG. 29 is an explanatory diagram of the density of the normal print region when density correction processing is performed when there is an abnormality in the scanner. In order to simplify the description, it is assumed that the image data that is the basis of the print image is an image having a uniform density.

Here, as a result of reducing the number of nozzles for the sake of simplification, the width of seven row regions for one cycle is as narrow as 7/720 inches, and the first row in one cycle Since there are few shade differences between the area and the seventh row area, it may be difficult to visually recognize the shade difference that occurs every cycle. However, in actuality, the number of nozzles is 180, the width of the row region for one cycle is 179/720 inches, and the density difference is different between the first row region and the 179th row region in one cycle. Therefore, it is easy to visually recognize the difference in density that occurs every cycle.
That is, when the measured value is inclined as a whole, the striped pattern of the printed image becomes conspicuous despite the density correction processing.

<About correction of measured value and correction value>
In the present embodiment, in order to prevent an adverse effect caused by the inclination of the measurement value graph, the inclination of the measurement value graph is corrected, and the correction value is calculated based on the corrected measurement value.

FIG. 30A is a graph of measured values before correction processing. The measured value here is the same as the graph of FIG. 25B.
The correction value acquisition program takes the 21st to 106th column regions as the calculation target range and extracts the measured values of the density of the column regions in this range. The reason why the first to twentieth row regions located downstream of the calculation target range in the transport direction are excluded from the calculation target range is that the first to twentieth row regions are blanks on the downstream side of the correction pattern in the transport direction. Therefore, the image of the first to twentieth row regions may be read in the state affected by the margin, and the density of the first to twentieth row regions may be measured lightly. It is. Similarly, the reason why the 107th to 126th row regions are excluded from the calculation target range is that the 107th to 126th row regions are located in the vicinity of the margin on the upstream side in the conveyance direction of the correction pattern. This is because the images of the 107th to 126th row regions may be read in the affected state, and the density of the 107th to 126th row regions may be measured lightly. On the other hand, the calculation target range includes at least a part of the leading edge printing area and the trailing edge printing area. This is because the inclination of the measured value is obtained in consideration of these print areas.

  Then, the correction value acquisition program calculates an approximate straight line by the method of least squares based on the measured value of the density of the row region within the calculation target range. In FIG. 30A, an approximate straight line is shown by a bold line. Further, the correction value acquisition program calculates an average value Cbt ′ based on the measured value of the density of the row region within the calculation target range. This average value Cbt 'becomes the aforementioned target value Cbt.

  Next, the correction value acquisition program calculates the difference between the value of the approximate straight line in each column region and the average value Cbt ′ for each column region, and uses this value as the correction value for that column region. Note that an approximate straight line is extended even for a row region outside the calculation target range, a difference between the value of the extension line in the row region and the average value Cbt ′ is calculated, and this value is used as a correction value for the row region. To do. Then, the correction value acquisition program corrects the measurement value of each column region by subtracting the correction value from the measurement value of each column region.

  FIG. 30B is a graph of measured values after the correction process. In the corrected measurement graph, the overall inclination is eliminated. Then, the correction value acquisition program calculates a correction value based on the corrected measurement value.

  FIG. 33A is an explanatory diagram before correction values are corrected. FIG. 33B is an explanatory diagram after correction value correction. Even when the correction value is calculated after correcting the gradient of the measurement value, the correction value may be discontinuous at the boundary of the print region as a result of using the average value as the measurement value of the row region of the normal print region. When density correction processing is performed based on such correction values, there is a possibility that the difference in density is conspicuous at the boundary of the print area. Therefore, in the same way as the correction value correction method described above, the correction value acquisition program calculates the front end correction value at the boundary between the front print area and the normal print area, and calculates the front end correction value for each correction value in the front print area. Are respectively added to correct the correction value. As a result, the correction value for the leading print area is corrected so that the difference between the correction value for the leading print area and the correction value for the normal printing area becomes small. In addition, the correction value acquisition program calculates a rear end correction value even at the boundary between the normal print area and the rear end print area, adds the rear end correction value to each correction value of the rear end print area, and performs correction. Correct the value. As a result, the correction value of the trailing edge printing area is corrected so that the difference between the correction value of the trailing edge printing area and the correction value of the normal printing area becomes small.

  Thereafter, the correction value acquisition program stores the correction value thus corrected in the memory 63 of the printer 1 (S110). Under the user, the printer driver performs density correction processing based on the corrected correction value to generate print data, and the printer performs printing based on the print data.

  In the present embodiment, the corrected measurement value is a value in the vicinity of the average value Cbt ′ regardless of the position of the row region. For example, even if an image with a constant density is printed after density correction processing, the entire printed image is one. It becomes a different concentration. In other words, in the present embodiment, it is possible to suppress a phenomenon in which the density of the entire printed image after the density correction process is gradually changed according to the position of the row region.

  Further, in the present embodiment, at the boundary between the leading printing area and the normal printing area, the measured value of the density of the leading printing area near the boundary is also the measured value (average value) of the density of the row area of the normal printing area near the boundary. Is also a value in the vicinity of the average value Cbt ′. As a result, the measurement values in the row area near the boundary between the leading edge printing area and the normal printing area are continuous. Similarly, the measurement values in the row area near the boundary between the normal print area and the trailing edge print area are continuous. However, even when the correction value is calculated after correcting the gradient of the measurement value, the correction value may be discontinuous at the boundary of the print region as a result of using the average value as the measurement value of the row region of the normal print region. On the other hand, in the present embodiment, the correction value is further corrected so that the difference in the correction value at the boundary of the print area becomes small. As a result, the density difference between the images in the leading edge printing area and the trailing edge printing area is smaller than the image in the normal printing area, and the gradation difference at the boundary of the printing area becomes inconspicuous. Further, in the present embodiment, even if the density of the row area of the normal print area is corrected based on the correction value for one cycle, the density difference at the boundary of the print area as shown in FIG. 27 is not noticeable.

  In the present embodiment, the measurement values (average value) for one cycle of the normal print area are all in the vicinity of the average value Cbt ′. As a result, both the measured value of the density of the first row area in one cycle and the measured value of the density of the seventh row area become values in the vicinity of the average value Cbt 'and are continuous. Thereby, in this embodiment, even if it uses repeatedly the correction value for 1 period, the light-dark difference for every period as FIG. 29 is not conspicuous.

=== Other Embodiments ===
Although the printer 1 and the printing system 100 as one embodiment have been described, the above-described embodiment is for facilitating the 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.
For example, the printer 1 described above is separate from the scanner 150. However, it may be a multifunction device in which a printer and a scanner are integrated.
In the above-described embodiment, the correction value table is created by printing a test pattern in the inspection process at the time of manufacturing the printer 1, but the invention is not limited to this. For example, a user who has purchased the printer 1 may cause the printer 1 to print a test pattern, read the test pattern with the scanner 150, and create a correction value table. In this case, the correction value acquisition program may be included in the printer driver.
In the above-described embodiment, one raster line is formed by one nozzle. However, the present invention is not limited to this. For example, one raster line may be formed by two nozzles.

=== Summary ===
(1) In the above embodiment, in the correction value acquisition process, first, a test pattern is printed (S102 in FIG. 10). In the test pattern printing, the dot formation process (FIG. 6, S003) is repeatedly performed, and a correction pattern (an example of a pattern) is formed on paper (an example of a medium). This correction pattern is composed of a plurality of raster lines (an example of a dot row) formed in a plurality of row regions arranged in the transport direction.

Next, the correction pattern is read by the scanner 150 (S103, FIG. 13), and subjected to rotation processing (S105), trimming (S106), and resolution conversion (S107) as necessary, and then the density of each row region. Is measured (S108). Then, the correction value acquisition program calculates a correction value (an example of the first correction value) for correcting the density of the row region in the leading edge print region (an example of the first region) based on the measurement of the density of each row region. Is calculated (S109). The correction value acquisition program includes a correction value (an example of the second correction value) for correcting the density of the row region in the normal print region (an example of the second region), and a measured value of the density of the row region. Calculation is made based on the average value of the measured values of the density of every seventh row region (S109, see FIG. 21).
However, since the correction value of the normal print area is calculated using the average value of the density measurement values of the plurality of row areas, the correction value becomes discontinuous at the boundary of the print area. When density correction processing is performed using such correction values, the difference in density becomes conspicuous at the boundary of the print area.

Therefore, in the above-described embodiment, the correction value for the leading print area is corrected so that the difference between the correction value for the leading print area and the correction value for the normal printing area is small. Thereby, the discontinuity between the correction value of the leading end printing area and the correction value of the normal printing area is reduced. As a result, the difference in density at the boundary of the print area becomes inconspicuous.
In the above-described embodiment, the front end correction value is added to the correction value of the front end print area. However, it is not limited to this. For example, even if the front end correction value is subtracted from the correction value for the normal print area, the discontinuity between the correction value for the front print area and the correction value for the normal print area can be reduced. However, in consideration of the correction of the correction value of the trailing edge printing area, it is more convenient to correct the correction value of the leading edge printing area so as to approach the correction value of the normal printing area.

(2) In the above-described embodiment, the average value of correction values (an example of a plurality of first correction values) in the 25th to 30th row regions of the leading edge print region and the 1st to 5th rows of the normal print region. The correction values (an example of the first correction value) of the first to 30th row regions of the leading edge printing region are set so that the difference from the average value of the correction values of the region (an example of the plurality of second correction values) becomes small. It has been corrected. As a result, the difference in light and shade at the boundary of the print area becomes inconspicuous.

(3) In the above-described embodiment, the average value of the correction values (an example of a plurality of first correction values) in the 25th to 30th row areas of the leading edge print area and the first to fifth areas of the normal print area The difference from the average value of the correction values (an example of a plurality of second correction values) in the row area is used as the correction value on the leading edge side, and the first to thirty-th row areas in the leading edge printing area are based on the correction value on the leading edge side The correction value is corrected (see FIGS. 32B and 33B). As a result, the difference in light and shade at the boundary of the print area becomes inconspicuous.

(4) However, the present invention is not limited to using an average value of correction values of a plurality of row regions near the boundary of the print region. For example, the correction value of the 30th row area of the leading print area (an example of the first correction value of the row area adjacent to the second area) and the correction value of the first line area of the normal print area (first area and The correction value may be modified so that the difference from an example of the second correction value of the adjacent row region becomes small.

(5) In this case, the correction value of the 30th row area of the leading print area (an example of the first correction value of the row area adjacent to the second area) and the correction value of the first line area of the normal print area ( The difference between the first area and an example of the second correction value of the adjacent row area) is used as the front end correction value, and the correction values of the first to 30th row areas of the front end print area based on the front end correction value. It is desirable to correct.

(6) By the way, for example, when there is an abnormality in the scanner, the measured value of the density of the row area may be tilted according to the row area (FIG. 25B). If a correction value is calculated using such a measured value, and density correction processing is performed based on the calculated correction value, the image quality of the printed image may be adversely affected (see FIG. 29).
Therefore, in the above-described embodiment, the inclination of the measurement value is corrected, and the correction value for the leading print area and the correction value for the normal print area are calculated based on the corrected measurement value. Thereby, the bad influence by tilting a measured value can be reduced.

(7) In the above-described embodiment, the correction value acquisition program obtains the approximate straight line and the average value Cbt ′ based on the measurement result of the column area of the approximate line calculation target range (see FIG. 30A), and the approximate line in each column area And the average value Cbt ′ are calculated, and this value is used as a correction value for the measured value of the row region. Thereby, even if a measured value inclines as a whole, the inclination can be corrected.
However, the correction value calculation method is not limited to this. For example, instead of approximation with a straight line, approximation with a quadratic curve may be used.

(8) In the above-described embodiment, the approximate straight line is calculated based on the least square method. Thereby, the inclination tendency of the measured value can be grasped. However, the method of calculating the approximate straight line is not limited to this. In the least squares method, an approximate line is calculated that minimizes the sum of the squares of the difference between the measured value and the approximate line, but instead, for example, the sum of the difference between the measured value and the approximate line is minimized. Such an approximate straight line may be calculated.

(9) In the above-described embodiment, the front-end printing area is an area including a raster line (an example of the first dot row) formed by front-end printing, and the normal print area is a raster formed by normal printing. This is an area composed of lines (an example of a second dot row) (see FIG. 8). According to the above-described embodiment, the difference in light and shade at the boundary between the leading edge printing area and the normal printing area becomes inconspicuous.

(10) According to the concentration measuring method including all the above-described components, all the effects are obtained, which is desirable. However, it is not always necessary to include all components. In short, any configuration that can acquire a correction value reflecting the characteristics of the printer may be used.

(11) In the above-described embodiment, the correction value acquisition program corrects the correction value, and then the printer driver corrects the density based on the correction value when the user forms a print image on paper (an example of a medium). By generating the print data by performing the process (S213), the printer 1 forms the raster line constituting the print image based on the correction value corresponding to the column area where the raster line is to be formed. As a result, a print image having no density unevenness can be formed, and the light / dark difference at the boundary of the print area can be reduced.

  Incidentally, it is technically possible to associate the correction value with the nozzle instead of the row region. However, even image pieces formed by the same nozzle may have different densities. For example, even if the dot row is formed by nozzle # 3, the dot row formed by nozzle # 3 is different depending on whether the adjacent dot row is formed by nozzle # 1 or nozzle # 4. Concentration may vary. Therefore, even if a specific correction value is associated with nozzle # 3 and the gradation value of the pixel data corresponding to the raster line formed by nozzle # 3 is corrected based on the correction value corresponding to nozzle # 3. However, density unevenness cannot always be suppressed. For this reason, in this embodiment, the correction value is set in association with the row region.

(12) Needless to say, the above-described embodiment discloses a method for manufacturing a printer (an example of a printing apparatus) including a memory that stores correction values. According to such a printer manufacturing method, it is possible to manufacture a printer that stores correction values according to the characteristics of individual printers.

1 is a diagram illustrating a configuration of a printing system 100. FIG. 1 is a block diagram of an overall configuration of a printer 1. FIG. FIG. 3A is a schematic diagram of the overall configuration of the printer 1. FIG. 3B is a cross-sectional view of the overall configuration of the printer 1. FIG. 4 is an explanatory diagram showing the arrangement of nozzles on the lower surface of a head 41. FIG. 5A is a longitudinal sectional view of the scanner 150. FIG. 5B is a top view of the scanner 150 with the upper lid 151 removed. It is a flowchart of the process at the time of printing. 7A and 7B are explanatory diagrams of normal printing. FIG. 7A shows the head position and dot formation in pass n to pass n + 3, and FIG. 7B shows the head position and dot formation in pass n to pass n + 4. It is explanatory drawing of front end printing and rear end printing. FIG. 9A is an explanatory diagram of a state when dots are ideally formed. FIG. 9B is an explanatory diagram of the influence of variations in nozzle processing accuracy. FIG. 9C is an explanatory diagram showing a state when dots are formed by the printing method of the present embodiment. It is a flowchart of the correction value acquisition process performed at the inspection process after manufacture of a printer. It is explanatory drawing of a test pattern. It is explanatory drawing of the pattern for a correction | amendment. It is explanatory drawing of the reading range of the pattern for cyan correction. FIG. 14A is an explanatory diagram of image data at the time of tilt detection. FIG. 14B is an explanatory diagram of detection of the position of the upper ruled line. FIG. 14C is an explanatory diagram of the image data after the rotation process. FIG. 15A is an explanatory diagram of image data at the time of trimming. FIG. 15B is an explanatory diagram of a trimming position on the upper ruled line. FIG. 15C is an explanatory diagram of the trimming position at the lower ruled line. It is explanatory drawing of resolution conversion. FIG. 17A is an explanatory diagram of image data when the left ruled line is detected. FIG. 17B is an explanatory diagram of detection of the position of the left ruled line. FIG. 17C is an explanatory diagram of the measurement range of the density of the band-like pattern having a density of 30% in the first row region. It is the measurement value table which put together the measurement result of the density | concentration of five types of strip | belt-shaped patterns of cyan. It is a graph of the measured value of the strip | belt-shaped pattern of density 30%, density 40%, and density 50% of cyan. FIG. 20A is an explanatory diagram of the target command tone value Sbt with respect to the command tone value Sb in the row region i. FIG. 20B is an explanatory diagram of the target command tone value Sbt with respect to the command tone value Sb in the row region j. It is explanatory drawing of the correction value table of cyan. It is a flowchart of the process performed under the user. FIG. 9 is a flowchart of print data generation processing. It is explanatory drawing of the density correction process of the nth row | line area | region of cyan. FIG. 25A is a graph of measured values when the scanner is normal. FIG. 25B is a graph of measured values when the scanner is abnormal. FIG. 26A and FIG. 26B show the measurement values used in calculating the correction value in order. FIG. 26A is a graph when the scanner is normal, and FIG. 26B is a graph when the scanner is abnormal. It is explanatory drawing of the density | concentration of the boundary of a front end printing area | region and a normal printing area | region, and the density | concentration of the boundary of a normal printing area | region and a rear end printing area | region. It is a graph of the measured value (average value) for 1 period of a normal printing area. FIG. 10 is an explanatory diagram of the density of a normal print area when density correction processing is performed when there is an abnormality in a scanner. FIG. 30A is a graph of measured values before correction processing. FIG. 30B is a graph of measured values after the correction process. FIG. 31A is a graph of correction values of the comparative example. FIG. 31B is a graph of the correction value of the present embodiment when the measured value is tilted. FIG. 32A is an explanatory diagram before correction value correction. FIG. 32B is an explanatory diagram after correction value correction. FIG. 33A is an explanatory diagram before correction values are corrected. FIG. 33B is an explanatory diagram after correction value correction.

Explanation of symbols

1 printer, 5 manuscripts,
20 transport unit, 21 paper feed roller, 22 transport motor (PF motor),
23 transport roller, 24 platen, 25 discharge roller,
30 Carriage unit, 31 Carriage,
32 Carriage motor (CR motor),
40 head units, 41 heads,
50 detector groups, 51 linear encoder, 52 rotary encoder,
53 Paper detection sensor, 54 Optical sensor,
60 controller, 61 interface unit, 62 CPU,
63 memory, 64 unit control circuit,
100 printing system, 110 computer,
120 display devices, 130 input devices,
140 recording / reproducing apparatus, 150 scanner,
151 Upper lid, 152 Document platen glass, 153 Reading carriage, 154 Guide member,
155 Movement mechanism, 157 exposure lamp, 158 line sensor, 159 optical system

Claims (12)

Read a pattern composed of a plurality of dot rows formed in a plurality of row regions aligned in the direction intersecting the nozzle movement direction with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
A correction value acquisition method comprising correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is reduced. The correction value acquisition method according to claim 1,
Correcting at least one of the first correction value and the second correction value so that a difference between an average value of the plurality of first correction values and an average value of the plurality of second correction values is reduced. A characteristic correction value acquisition method. The correction value acquisition method according to claim 2,
A difference between an average value of the plurality of first correction values and an average value of the plurality of second correction values is set as a correction value, and at least one of the first correction value and the second correction value is based on the correction value. A correction value acquisition method characterized by correcting one of them. The correction value acquisition method according to claim 1,
The first correction value and the second correction value are reduced so that a difference between the first correction value of the row region adjacent to the second region and the second correction value of the row region adjacent to the first region is reduced. A correction value acquisition method characterized by correcting at least one of the correction values. The correction value acquisition method according to claim 4,
A difference between the first correction value of the row region adjacent to the second region and the second correction value of the row region adjacent to the first region is set as a correction value, and the first correction value is determined based on the correction value. A correction value acquisition method comprising correcting at least one of a correction value and the second correction value. A correction value acquisition method according to any one of claims 1 to 5,
Correcting the measured value of the density of the row area according to the row area,
A correction value acquisition method, wherein the first correction value and the second correction value are calculated based on the corrected measurement value. The correction value acquisition method according to claim 6,
When correcting the measurement value according to the column region, an approximate line and an average value are obtained from the measurement value, and the column is determined according to a difference between the approximate line value and the average value in each column region. A correction value acquisition method comprising correcting a measured value of density in a region. The correction value acquisition method according to claim 7,
A correction value acquisition method, wherein the approximate straight line is calculated based on a least square method. A correction value acquisition method according to any one of claims 1 to 8,
The first region is a region including a first dot row formed by first printing,
The correction value acquisition method, wherein the second area is an area formed of a second dot row formed by a second printing different from the first printing. Read a pattern composed of a plurality of dot rows formed in a plurality of row regions aligned in the direction intersecting the nozzle movement direction with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
A correction value acquisition method, wherein at least one of the first correction value and the second correction value is corrected so that a difference between the first correction value and the second correction value is small.
A difference between an average value of the plurality of first correction values and an average value of the plurality of second correction values is set as a correction value, and at least one of the first correction value and the second correction value is based on the correction value. Fix one,
The measurement value of the density of the row region is corrected according to the row region, and the first correction value and the second correction value are calculated based on the corrected measurement value,
When correcting the measurement value according to the column region, an approximate curve and an average value are obtained from the measurement value, and the column is determined according to a difference between the value of the approximate line and the average value in each column region. Modify the density measurement of the area,
The approximate straight line is calculated based on the least square method,
The first region is a region including a first dot row formed by first printing,
The correction value acquisition method, wherein the second area is an area formed of a second dot row formed by a second printing different from the first printing. Read a pattern composed of a plurality of dot rows formed in a plurality of row regions aligned in the direction intersecting the nozzle movement direction with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
Correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is small;
When forming a print image on a medium,
Forming a dot row of the first region constituting the print image based on the first correction value corresponding to the row region of the dot row to be formed;
A printing method, comprising: forming a dot row of the second region constituting the print image based on the second correction value corresponding to the row region where the dot row is to be formed. Prepare a printing device with memory,
Using the printing apparatus, to form a pattern composed of a plurality of dot rows formed in a plurality of row regions arranged in a direction intersecting the nozzle movement direction,
Read the pattern with a scanner,
Measure the density of each row area of the read pattern,
Calculating a first correction value for correcting the density of the row region in the first region of the pattern based on the measured value of the density of the row region;
The second correction value for correcting the density of the row area in the second area adjacent to the first area is the measured value of the density of the row area and the density of other row areas in the second area. Based on the value and
Correcting at least one of the first correction value and the second correction value so that a difference between the first correction value and the second correction value is small;
A method of manufacturing a printing apparatus, wherein the corrected correction value is stored in the memory.