JP2006305960A - Method of checking effect of density correction of image, and printer - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve a checking method or the like for density correction effects of images whereby the effect of a density correction carried out on the basis of a correction value of the density when the image is printed can be checked. <P>SOLUTION: The method of checking the density correction effect of the image to check the effect of the density correction carried out on the basis of the correction value of the density when the image is printed includes a step of printing both a pattern for checking in the case of not making the density correction and a pattern for checking in the case of making the density correction to one medium, a step of reading the density of each pattern for checking, and a step of checking the effect of the density correction on the basis of the read values of the densities. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an image density correction effect confirmation method and a printing apparatus.

  As a printing apparatus for printing an image, an ink jet printer that forms dots by ejecting ink onto paper as a medium is conventionally known. This inkjet printer has a dot forming operation in which ink is ejected from a plurality of nozzles moving in the moving direction to form dots on the paper, and a crossing direction in which the paper is crossed with the moving direction by a conveyance roller (hereinafter also referred to as a conveyance direction). Repeat the transfer operation. Thereby, a dot row composed of dots along the moving direction is formed for each row region arranged in the transport direction, and an image is printed. Here, “row region” refers to a region constituted by a plurality of “unit regions” arranged in the moving direction. The “unit area” refers to a rectangular area virtually defined on the paper, and ink is landed on the unit area to form the dots.

  By the way, in an image composed of such a large number of row regions, density unevenness may be seen in parallel along the moving direction. That is, there may be a row region that looks macroscopically dark and a row region that looks thin.

  The cause of this density unevenness is mainly due to the processing accuracy of the nozzles, and there are the following two details. The first case is a case where there is a variation in the amount of ink discharged between the nozzles, and the second case is the position where dots are formed due to the flying curve of the ink discharged from the nozzles. This is a case where it is deviated from the target position in the transport direction.

As a conventional method for suppressing the density unevenness in the first case, the following method has been proposed. First, an operator at a printer manufacturing factory prints a correction pattern on a printer that is a target for suppressing density unevenness, measures the density with a scanner, calculates a correction value for each nozzle, and calculates each correction value. The data is stored in the storage unit of the printer. When the user who purchased the printer performs the actual printing of the image on the paper, the printer corrects the ink ejection amount using the correction value associated with each nozzle, thereby reducing the density unevenness. It suppresses (refer patent document 1).
JP-A-6-166247 (2nd page)

  However, the density unevenness in the second case is caused by the interval between the dot rows being vacant or clogged as shown in FIG. 9B. That is, a row region with a wide interval between adjacent dot rows looks macroscopically light, and a row region with a narrow interval looks macroscopically dark. The state of the interval changes depending on the combination of nozzles that form adjacent dot rows. Therefore, in order to suppress the density unevenness in the second case, it is more likely that the correction value is stored in association with each row region than in the storage unit in association with each nozzle. It is considered that density unevenness due to the state can be corrected more directly, and such a printer is also being studied.

  However, a method for confirming the correction effect when the density of an image is corrected based on such a correction value has not been established, and it is good to set a correction value, but it cannot be confirmed whether the correction value is really appropriate. I was in

  SUMMARY OF THE INVENTION The present invention has been made in view of such problems, and the object of the present invention is to confirm the density correction effect of an image that can confirm the effect of density correction performed at the time of image printing based on the density correction value. To realize a method and a printing apparatus.

The main invention for solving the above problems is:
An image density correction effect confirmation method for confirming an effect of density correction performed when an image is printed based on a density correction value,
Printing a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed on one medium; and
A step of reading the density of each confirmation pattern;
And a step of confirming the effect of density correction based on the read value of the density.

  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.

An image density correction effect confirmation method for confirming an effect of density correction performed when an image is printed based on a density correction value,
Printing a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed on one medium; and
A step of reading the density of each confirmation pattern;
And a step of confirming the effect of density correction based on the read value of the density.
According to such a method for confirming the density correction effect of an image, a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed are printed on one medium. Therefore, it is possible to compare the density correction effect by aligning various conditions that should be aligned at the time of comparison, for example, the time condition after printing the confirmation pattern and the density reading condition, and accurately confirm the density correction effect. be able to.

In the method for confirming the density correction effect of such an image,
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Each check pattern is printed by forming a row of dots along each of the row regions arranged in the intersecting direction,
Preferably, the reading value is generated for each row region.
According to such a method for checking the density correction effect of an image, a reading value is generated for each row region, so that the parameter of the reading value used for checking can be increased, and the density correction effect can be more accurately obtained. Can be confirmed.

In the method for confirming the density correction effect of such an image,
Each confirmation pattern is printed based on image data,
The image data has gradation value data of density for forming the dot rows in the row regions of the respective confirmation patterns,
The gradation value data is preferably the same over all the row regions.
According to such a method for checking the density correction effect of an image, dot rows are formed based on the same gradation value over all row regions of the check pattern. Therefore, the density unevenness that appears due to the change in the interval between adjacent dot rows can be made more apparent, and as a result, the density correction effect can be confirmed more accurately.

In the method for confirming the density correction effect of such an image,
For each of the confirmation pattern in the case where the density correction is not performed and the confirmation pattern in the case where the density correction is performed, variation in the density of the row region is obtained,
It is desirable to confirm the effect of density correction based on the variation.
According to such an image density correction effect confirmation method, the density correction effect is confirmed based on the variation in the density of the row region, so that the density correction effect can be confirmed accurately.

In the method for confirming the density correction effect of such an image,
Each confirmation pattern is divided into divided areas larger than the row area, and the variation is obtained for each divided area.
It is desirable to compare the variation of the corresponding divided areas with respect to each confirmation pattern, and confirm the effect of density correction based on the comparison result.
According to such a method for confirming the density correction effect of the image, the variation is compared for each divided region corresponding to each of the confirmation patterns. It is possible to eliminate the influence, and to confirm the density correction effect more accurately.

In the method for confirming the density correction effect of such an image,
The comparison is performed by subtracting the variation in the divided area on the confirmation pattern side when the density correction is performed from the variation in the divided area on the confirmation pattern side when the density correction is not performed. Whether or not the value is less than a predetermined threshold,
When the number of segmented areas whose subtraction value is smaller than the threshold value is equal to or greater than a predetermined number, it is desirable to determine that there is no effect of density correction.
According to such an image density correction effect confirmation method, the density correction effect can be quantitatively confirmed.

In the method for confirming the density correction effect of such an image,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction,
It is desirable that the divided areas constitute the divided areas.
According to such a method for confirming the density correction effect of the image, the variation is compared for each ink color corresponding to each of the confirmation patterns, so that the influence of the difference in the ink color on the variation can be eliminated. Thus, the density correction effect can be confirmed more accurately.

In the method for confirming the density correction effect of such an image,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction, and further, with respect to the crossing direction, an upstream end region, a downstream end region, and the two And an intermediate area between the end areas,
It is desirable that the divided areas constitute the divided areas.
According to such a method for confirming the density correction effect of the image, the variation is compared for each ink color corresponding to each confirmation pattern, and for each corresponding region with respect to the crossing direction. Thus, it is possible to eliminate the influence of the difference in the area and the difference in the area on the variation, and the density correction effect can be confirmed more accurately.

In the method for confirming the density correction effect of such an image,
It is preferable that the reading value of each row region is obtained as an average value of the reading values of a plurality of row regions included in a predetermined range in the crossing direction from the row region of interest.
According to such a method for confirming the density correction effect of an image, the density of each row area is calculated as an average value of the read values of a plurality of row areas included in the predetermined range in the crossing direction from the row area of interest. Therefore, the density of the row region can be accurately obtained.

In the method for confirming the density correction effect of such an image,
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Forming a dot row along each of the row regions arranged in the crossing direction, and printing a correction pattern,
Reading the density for each row area from the correction pattern, obtaining the correction value for each row area based on the read value of the density,
When printing an image, it is desirable to perform density correction for each row area based on the correction value.
According to such a method for confirming the density correction effect of an image, the effect of the above-described aspect of the present invention can be applied to density correction for suppressing density unevenness of an image formed by repeating a dot forming operation and a conveying operation. Can be played.

In the method for confirming the density correction effect of such an image,
The correction pattern is printed for each ink color, and each correction pattern is printed by dividing a region for each of a plurality of densities with respect to the moving direction.
Each of the confirmation patterns is preferably divided into regions for each ink color with respect to the moving direction, and printed at one density for each ink color.
According to such an image density correction effect confirmation method, the confirmation pattern is printed at one density for each ink color, so that the ink consumption can be reduced.

In the method for confirming the density correction effect of such an image,
The reading resolution when reading the density from the confirmation pattern is desirably lower than the reading resolution when reading the density from the correction pattern.
According to such a method for confirming the density correction effect of the image, the reading resolution of the confirmation pattern is set lower than the reading resolution of the correction pattern. Therefore, the time required for reading the density from the confirmation pattern The time required for confirming the density correction effect can be shortened.

An image density correction effect confirmation method for confirming an effect of density correction performed at the time of image printing based on a density correction value,
Printing a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed on one medium; and
A step of reading the density of each confirmation pattern;
Checking the effect of density correction based on the density reading, and
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Each check pattern is printed by forming a row of dots along each of the row regions arranged in the intersecting direction,
The reading is generated for each row region,
Each confirmation pattern is printed based on image data,
The image data has gradation value data of density for forming the dot rows in the row regions of the respective confirmation patterns,
The gradation value data is the same over all the row regions,
For each of the confirmation pattern in the case where the density correction is not performed and the confirmation pattern in the case where the density correction is performed, variation in the density of the row region is obtained,
Based on the variation, the effect of density correction is confirmed,
Each confirmation pattern is divided into divided areas larger than the row area, and the variation is obtained for each divided area.
For each of the confirmation patterns, the variation of the corresponding segmented areas is compared, and based on the comparison result, the effect of density correction is confirmed,
The comparison is performed by subtracting the variation in the divided area on the confirmation pattern side when the density correction is performed from the variation in the divided area on the confirmation pattern side when the density correction is not performed. Whether or not the value is less than a predetermined threshold,
If the number of segmented areas where the subtraction value is smaller than the threshold value is greater than or equal to a predetermined number, it is determined that there is no effect of density correction,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction, and further, with respect to the crossing direction, an upstream end region, a downstream end region, and the two And an intermediate area between the end areas,
Each of the divided areas constitutes the divided area,
The reading value of each row area is obtained as an average value of the reading values of a plurality of row areas included in the predetermined range in the cross direction from the row area of interest.
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Forming a dot row along each of the row regions arranged in the crossing direction, and printing a correction pattern,
Reading the density for each row area from the correction pattern, obtaining the correction value for each row area based on the read value of the density,
When printing an image, density correction is performed for each row area based on the correction value,
The correction pattern is printed for each ink color, and each correction pattern is printed by dividing a region for each of a plurality of densities with respect to the moving direction.
Each of the confirmation patterns is divided into regions for each ink color with respect to the moving direction, and is printed with one density for each ink color,
A method for confirming an image density correction effect, wherein a reading resolution when reading density from the check pattern is lower than a reading resolution when reading density from the correction pattern.
According to such a method for confirming the density correction effect of an image, all of the above-described effects can be obtained, so that the object of the present invention can be achieved more effectively.

A printing apparatus for printing a correction pattern for obtaining a correction value used for density correction performed at the time of image printing,
It is also possible to realize a printing apparatus that prints a confirmation pattern when density correction is performed based on the correction value and a confirmation pattern when density correction is not performed on one medium. .

=== Configuration of Printing System 100 ===
<Printing system 100>
FIG. 1 is an explanatory diagram of 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. Further, the computer 110 is installed with a scanner driver for controlling the scanner 150 and receiving image data of the original 5 read by the scanner 150.

<Printer 1>
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, a basic configuration of the printer 1 of the present 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 1. The transport roller 23 is a roller that transports the paper 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 being printed. The paper discharge roller 25 is a roller for discharging paper to the outside of the printer 1 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 a later-described head 41 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, a dot row along the moving direction is formed on the paper.

  FIG. 4 is an explanatory diagram of 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). 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 1. 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 1. 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 150>
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. The dotted line inside the reading carriage 153 in the drawing indicates the 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.

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

  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 feeding operation / conveying operation / dot forming operation using each unit.

  Paper Feed Operation (S002): The paper feed operation is an operation for supplying paper to be printed into the printer 1 and positioning the paper at a predetermined position (also referred to as a cueing position) where printing is possible. The controller 60 rotates the paper feed roller 21 and the transport roller 23 to position the paper at the cueing position.

  Dot Forming Operation (S003): The dot forming operation is an operation in which ink is intermittently ejected from the head 41 moving along the moving direction to form dots on the paper. 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 composed of a plurality of dots along the moving direction is formed on the paper.

  Transport Operation (S004): The transport operation is an operation of moving the paper relative to the head 41 along the transport direction. The controller 60 rotates the transport roller 23 to transport the paper in the transport direction perpendicular to the moving direction. With this carrying operation, the head 41 can form dots at the next dot forming operation at a position different from the position of the dots formed by the previous dot forming operation.

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

  Paper Discharge Operation (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 25. 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 next paper feeding operation is started. If printing is not performed on the next paper, the printing operation is terminated.

<Dot row 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 non-recorded dot rows are sandwiched between dot rows recorded in one pass. “Pass” refers to a dot formation operation, and “pass n” refers to the nth dot formation operation. A “dot row” is a row of dots arranged in the moving direction.

  7A and 7B are explanatory diagrams of normal printing. 7A shows the position of the head 41 and how dots are formed in pass n to pass n + 3, and FIG. 7B shows the position of the head 41 and how dots are formed in pass n to pass n + 4.

  7A and 7B, for convenience of explanation, only one nozzle group is shown instead of the head 41, and the number of nozzles in the nozzle group is also reduced. Although the nozzle group is depicted as moving with respect to the paper, this figure shows the relative position between the nozzle group (head 41) and the paper. It 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 to form a dot row. 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 dot row immediately above the dot row 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 dot rows 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. Thereby, a plurality of dot rows that are continuously arranged in the transport direction can be formed between the first dot row and the last dot row.

  An area (intermediate area) in which a dot row is formed only by normal printing is called a “normal printing area”. In addition, a region (downstream end region) located on the front end side (downstream in the transport direction) of the paper with respect to the normal print region is referred to as a “leading end print region”. Further, a region (upstream end region) located on the rear end side (upstream side in the transport direction) from the normal print region is referred to as a “rear end print region”. Thirty dot rows are formed in the leading edge printing area. Similarly, 30 dot rows are also formed in the trailing edge print region. On the other hand, in the normal printing area, although it depends on the size of the paper, approximately several thousand dot rows are formed.

  The arrangement of the nozzles assigned to each row region of the normal print region (refers to a region where a dot row is to be formed and the details of the definition and the like will be described later) is a predetermined number P corresponding to the carry amount (here There are regularities in each of the 7) row regions. That is, the arrangement of the nozzles assigned to the row region changes with seven row regions as one cycle.

  For example, the first to seventh row regions of the normal print region in FIG. 8 are respectively represented by nozzle # 3, nozzle # 5, nozzle # 7, nozzle # 2, nozzle # 4, nozzle # 6, and nozzle # 8. A dot row is formed, and dot rows are also formed in the next eight and subsequent seven row regions by the nozzles in the same order.

  On the other hand, it is difficult to find regularity in the arrangement of nozzles assigned to each row area of the leading edge printing area and the trailing edge printing area as compared with the dot line of the normal printing area. However, the nozzles assigned to the respective row regions of the front end print region and the rear end print region are also determined in advance corresponding to each row region. For example, each time the leading edge printing is performed, as shown in FIG. 8, dot rows are formed by the nozzle # 2 in the first to fourth row regions in the leading edge printing region, and the nozzles are formed in the fifth row region. In # 3, a dot row is formed by nozzle # 2 in the sixth row region, nozzle # 3 in the seventh and eighth row regions, and nozzle # 4 in the ninth row region (hereinafter omitted). ) The arrangement of the nozzles does not change every time the leading edge printing is executed.

=== 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.

FIG. 9A is an explanatory diagram of a state when dots are ideally formed. While the carriage 31 moves in the moving direction, ink is ejected from each nozzle, and ink is landed on the paper to form dots. Since each nozzle intermittently ejects ink during movement, a row of dots (dot row) is formed along the movement direction. Each dot row forms a long and narrow image piece along the moving direction, and a large number of image pieces are arranged in the carrying direction to form a printed image. 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%.
In the figure, since dots are ideally formed, each dot is accurately formed in a unit region defined on the paper, and a dot row is accurately formed in the row region.

  Here, the “unit area” refers to a rectangular area virtually defined on a medium such as paper, and is an area corresponding to a pixel that is a minimum constituent unit of a print image. The size and shape are determined according to the print 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 at the center position of the unit region, and then the ink droplet spreads on the medium to form a dot in the unit region.

  Further, “row region” refers to a region composed of a plurality of unit regions arranged in the movement direction, and in the drawing, “row region” is shown as a region sandwiched between dotted lines. For example, when the printing resolution is 720 dpi × 720 dpi, the row region is a band-like region having a width of 30.28 μm (≈ 1/720 inch) in the transport direction. When ink droplets are ideally ejected intermittently from the nozzle moving in the moving direction, a dot row is formed in this row region, whereby each row region has a plurality of densities according to the coloration of that region. An image piece composed of the pixels is formed.

FIG. 9B is an explanatory diagram of the influence of variations in nozzle processing accuracy. Here, due to variations in the flight direction of the ink droplets ejected from the nozzles, the dot row formed in the second row region is formed closer to the third row region side (upstream side in the transport direction). 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 dot rows is viewed macroscopically, striped density unevenness along the moving direction of the carriage 31 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. Thereby, the dot generation rate of the dot row in each row region is changed, the density of the image pieces in the row region is corrected, and the density unevenness of the entire print image is suppressed.

  By the way, 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 nozzle forming the dot row in the third row region, but the adjacent second row. This is due to the influence of nozzles that form dot rows in the region. For this reason, when a nozzle that forms a dot row in the third row region forms a dot row in another row region, an 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 the present embodiment, in the inspection process of the printer manufacturing factory, the printer 1 is caused to print a correction pattern, the correction pattern is read by the scanner 150, and each correction is performed based on the density of each row region in the correction pattern. The correction value corresponding to the row area is stored in the memory of the printer 1. The correction value stored in the printer 1 reflects the density unevenness characteristics of each printer 1.

  Then, under the user who purchased the printer 1, the printer driver reads the correction value from the printer 1, corrects the gradation value of the pixel data based on the correction value, and print data based on the corrected gradation value. And the printer 1 performs printing based on the print data.

<About processing at printer manufacturing plants>
FIG. 10A is a flowchart of processing performed in the inspection process after manufacturing the printer 1. In this inspection process, a “correction value setting process (S100)” for setting a correction value in the printer 1 and a “density correction effect confirmation process (S100) for confirming the effect of improving density unevenness due to the set correction value ( S150) ". Here, the correction value setting process in step S100 will be described in detail, and the density correction effect confirmation process in step S150 will be described later.

FIG. 10B is a flowchart of the correction value setting process.
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 150. A correction value setting program for performing image processing, analysis, etc. on the image data of the pattern for use is installed.

Next, the printer driver of the computer 110 causes the printer 1 to print a test pattern for setting correction values (S102).
FIG. 11 is an explanatory diagram of a test pattern for setting a correction value, and FIG. 12 is an explanatory diagram of a correction pattern included in the test pattern. This test pattern is printed at a print resolution of 720 × 720 dpi, for example, and has four correction patterns 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.

  Each of the belt-like patterns is generated from image data having a constant gradation value in the conveyance direction, and gradation values 76 (density 30%), 102 (density 40%), 128 (density 50%), 153 (density 60%), and 179 (density 70%), which are patterns of dark density 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 leading edge printing region dot row, a normal printing region dot row, and a trailing edge printing region dot row. In normal printing, thousands of dot rows are formed in the normal printing region, but in printing the correction pattern, eight cycles of dot rows are formed in the normal printing region. Here, for the sake of simplification of explanation, it is assumed that the correction pattern is printed by printing in FIG. 8, and the belt-like pattern has 30 dot rows in the front end print area and 56 normal print areas (= 7 (pieces / cycle ) × 8 cycles) and a total of 116 dot rows including 30 dot rows in the trailing edge printing area. The upper ruled line is formed by the first dot row (dot row on the most downstream side in the transport direction) constituting the belt-like pattern. The lower ruled line is formed by the last dot row (dot row on the most upstream side in the transport direction) constituting the belt-like pattern.
Incidentally, it goes without saying that when this test pattern is printed, density correction processing (see step S213 in FIG. 23) based on correction values described later is not performed.

  Next, the inspector places the paper on which the test pattern is printed by the printer 1 on the platen glass 152 of the scanner 150, closes the upper lid 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 correction patterns for other colors are read 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 setting 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 figure is read by the computer 110 as rectangular image data having a reading resolution of 2880 × 2880 dpi.

  Next, the correction value setting program of the computer 110 detects the inclination θ of the correction pattern included in the image data (S104), and performs rotation processing corresponding to the inclination θ on the image data (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. From the read image data, the correction value setting 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. 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 setting program obtains the gravity center positions KY1 and KY2 of the gradation values of the extracted KH pixel data in order to detect the position of the upper ruled line. Then, the correction value setting program calculates the inclination θ of the correction pattern based on the parameters KX1 and KX2 and the barycentric positions KY1 and KY2, and rotates the image data based on the calculated inclination θ. Process.
θ = tan ⁻¹ {(KY2-KY1) / (KX2-KX1)}

Next, the correction value setting 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 setting program includes pixel data of KX1 pixels from the left, 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 setting 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 setting program cuts out 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 setting 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 setting program cuts out pixels below the trimming position and performs trimming.

Next, the correction value setting 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 dot rows constituting the correction pattern) (S107). ).
FIG. 16 is an explanatory diagram of resolution conversion. If the printer 1 ideally forms a correction pattern consisting of 116 dot rows 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 setting program of the computer 110 uses the magnification of 116/470 (= [number of dot columns constituting the correction pattern] / [number of pixels in Y direction of image data after trimming]) 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 setting 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 region will be described. Measurements in other row regions are performed in the same manner. In addition, the measurement of the density of other band-like patterns is performed 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 setting program extracts pixel data of HX pixels from the top and KX pixels from the left 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 setting program obtains the barycentric position of the gradation value 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% exists on the right side by X2 from the position of the center of gravity (the position of the left ruled line). Therefore, the correction value setting 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 barycentric 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 setting 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 setting 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 strip pattern is uniformly formed with gradation values Sa (= 76), Sb (= 102), and Sc (= 128), 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 j1 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 j2 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 setting program of the computer 110 calculates a correction value corresponding to the row area (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 j1 in 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 j2 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 j1. In this row region, 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 region, the average density of the strip pattern having a density of 30%. Paler). If the printer driver causes the printer 1 to form a density pattern of the target value Cbt in this row area, the command is based on the target command tone value Sbt calculated by the following equation (linear interpolation based on the straight line BC). do it.
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 j2. 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 30%. Paler). If the printer driver causes the printer 1 to form a density pattern of the target value Cbt in this row region, the command is based on the target command tone value Sbt calculated by the following equation (linear interpolation based on the straight line AB). do it.
Sbt = Sb− (Sb−Sa) × {(Cbt−Cb) / (Ca−Cb)}
After calculating the target command tone value Sbt in this way, the correction value setting 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 setting 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 setting program sets the correction value Hc for the gradation value Sc (density 50%), the measurement value Cc for each row region, the measurement value Cb or Cd, and the command gradation value Sb or Sd. Based on the above, calculation is performed for each row region. Similarly, the correction value setting program sets the correction value Hd for the gradation value Sd (density 60%), the measurement value Cd of each row region, the measurement value Cc or Ce, and the command gradation value Sc or Se. Based on the above, calculation is performed for each row region. For other colors, three correction values (Hb, Hc, Hd) are calculated for each row region.

  By the way, as shown in FIG. 12, there are 56 row areas in the normal print area. As described above, the arrangement of the nozzles assigned to these row areas is 7 cycles as one period. Change. That is, as shown in FIG. 8, nozzle # 3, nozzle # 5, nozzle # 7, nozzle # 2, nozzle # 4, nozzle # 6, nozzle # 3 are arranged in the first to seventh row areas of the normal printing area, respectively. Dot rows are formed by the nozzle # 8, and dot rows are also formed by the nozzles in the same order in the next eight and subsequent seven row regions. Therefore, this regularity is taken into account in the calculation of the correction value for the normal printing area shown in FIG.

When the correction value setting program calculates the correction value in the first row area of the normal printing area (the 31st row area of the entire printing area), the above-described measurement value Ca is the nozzle # 3 in the normal printing area. The average value Ca _ave of the measured values of the 30% density of the first, eighth, fifteen, twenty-second, twenty-ninth, thirty-six, forty-third, and fifty eighth row regions is used. Similarly, when calculating a correction value in the first row region of the normal print region (the 31st row region of the entire print region), nozzle # 3 is assigned to the above-described measurement values Cb to Ce in the normal print region. The average values Cb _{ave to} Ce _ave of the measured values of the respective densities of the first, eighth, fifteenth, twenty-second, twenty-ninth, thirty-sixth, thirty-fourth, and fifty eighth row regions are used. Then, as described above, the correction values (Hb, Hc, Hd) for the first row area of the normal printing area are calculated based on the average values Ca _{ave to} Ce _ave instead of the above-described measured values Ca to Ce. The As described above, the correction value of the row region of the normal print region is calculated based on the average value 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 setting program of the computer 110 stores the correction value in the memory 63 of the printer 1 (S110).
FIG. 21A is an explanatory diagram of a cyan correction value table. There are three types of correction value tables for the leading edge printing area, the normal printing area, and the trailing edge printing 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 dot row 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.

The normal print area correction value calculation method described above obtains the average values Ca _{ave to} Ce _ave of the density measurement values Ca _{ave to} Ce _ave of the eight row areas to which the same nozzle is assigned, and calculates the average value Ca using _{ave ~Ce ave,} 3 one correction value for each row region (Hb, Hc, Hd) but was to calculate the timing of averaging, even without the time of measurement Ca~Ce It may be performed after calculating the correction values (Hb, Hc, Hd).

  In other words, using a cyan correction value table as an example, first, three correction values (Hb, Hc, Hd) are calculated for each of the 56 row regions included in the normal print region (left in FIG. 21B). (See diagram). Then, the correction values (Hb, Hc, Hd) are averaged for each set of row regions in which the assigned nozzles are the same among the 56 row regions, and finally shown in the right diagram of FIG. 21B. As described above, correction values (Hb, Hc, Hd) corresponding to the first to seventh seven row regions may be obtained.

  For example, the row region to which nozzle # 3 is assigned is the first, eighth, fifteenth, twenty-second, twenty-ninth, thirty-sixth, thirty-sixth, and fifty eighth row regions, as indicated by the bold lines in the left diagram of FIG. However, correction values (Hb, Hc, Hd) are obtained for these row regions, respectively. Then, as shown in the middle formula of FIG. 21B, the eight correction values Hb_1, Hb_8, Hb_15, Hb_22, Hb_29, Hb_36, Hb_43, and Hb_50 obtained are averaged to obtain a correction value Hb_1. The eight correction values Hc_1, Hc_8, Hc_15, Hc_22, Hc_29, Hc_36, Hc_43, Hc_50 are averaged to obtain a correction value Hc_1, and the eight correction values Hd_1, Hd_8, Hd_15, Hd_22, Hd_29, Hd_36, Hd_43 are obtained. , Hd_50 is averaged to obtain a correction value Hd_1. Then, these correction values (Hb_1, Hc_1, Hd_1) are stored in the correction value table as correction values for the first row region as shown in the right diagram of FIG. 21B. The same applies to the correction values (Hb_2, Hc_2, Hd_2) to (Hb_7, Hc_7, Hd_7) of the remaining second to seventh row regions.

After the correction value is stored in the memory 63 of the printer 1 in this way, the correction value setting process (step S100 in FIG. 10A) ends.
If it does so, it will transfer to step S150 of FIG. 10A, "Confirmation process of a density correction effect" will be performed, and the presence or absence of the improvement of the density non-uniformity as an effect of the density correction based on the said correction value will be confirmed. After the density correction effect confirmation process is completed, the printer 1 is disconnected from the computer 110. The printer 1 determined to have no density unevenness improvement effect is determined for the purpose of investigating the cause. Sent to the survey process. On the other hand, the printer 1 determined to have an improvement effect is shipped from the factory after the completion of other inspections for the printer 1. 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 110 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 correction value corresponding to 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 FIG. 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 of converting high gradation number data into gradation number data that can be formed by the printer 1. 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 using the dither method, γ correction, error diffusion method, and the like so that the printer 1 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 that row region is corrected to be low, so the dot generation rate of the dots that make up the dot row in that 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 rasterizing process is a process of changing matrix image data in the order of data to be transferred to the printer 1. The rasterized data is output to the printer 1 as pixel data included in the print data.

  If the printer performs print processing based on the print data generated in this way, as shown in FIG. 9C, the dot generation rate of the dot row in each row region is changed, and the density of the image pieces in the row region 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 (the number of dot rows) are reduced for the sake of simplification. However, in actuality, 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 setting program, the printer driver, etc. is almost the same.

=== Concerning Density Correction Effect Confirmation Processing (S150) According to the Present Embodiment ===
The “concentration correction effect confirmation process” in step S150 of FIG. 10A is for actually confirming in the printer 1 whether or not the correction value set in the printer 1 exhibits the desired effect of improving density unevenness. This is confirmed by printing the pattern. Therefore, the printer 1 for which the correction value has been set is the target of this processing. When it is determined that there is no improvement effect based on the confirmation pattern, this is notified to the inspector in the inspection process, and the inspector sends the printer 1 to a predetermined inspection process.

FIG. 25 is a flowchart of the density correction effect confirmation process.
First, the inspector confirms whether the printer 1 to be processed is connected to the computer 110 in the factory (S151). Note that this point is immediately after the end of the correction value setting process shown in FIG. 10B, and therefore there is not only the printer 1 to be processed but also the scanner 150 connected to the computer 110 unless there are special circumstances. In addition to the printer driver and scanner driver, the computer 110 is installed with a correction effect confirmation program for quantitatively confirming the effect of improving density unevenness based on the image data of the confirmation pattern read from the scanner 150. Has been.

Next, the printer driver of the computer 110 causes the printer 1 to print a test pattern for checking the correction effect (S152).
FIG. 26 is an explanatory diagram of a test pattern for confirming a correction effect, and FIG. 27 is an explanatory diagram of a confirmation pattern included in the test pattern. As shown in FIG. 26, two confirmation patterns are formed as test patterns on one sheet of paper. One confirmation pattern is a pattern in which density correction is performed based on the above-described correction value (hereinafter, also referred to as a confirmation pattern with correction), and the other confirmation pattern formed thereunder is density These patterns are not corrected (hereinafter also referred to as “uncorrected confirmation patterns”), and are all printed at a print resolution of 720 × 720 dpi as in the above-described correction patterns. Here, the reason for printing both confirmation patterns on a single sheet of paper is that the time-dependent conditions such as the time from printing to reading and the reading conditions can be aligned, and the density correction effect can be confirmed accurately. This is because it becomes possible.

  The image data used for printing these two confirmation patterns is the same, and the difference between these confirmation patterns is that the density correction process in step S213 is performed in the print data generation process of FIG. 23 performed by the printer driver. Only in terms of whether or not That is, when printing a check pattern with correction, the image data is processed according to the flow of FIG. 23 to generate print data. When a check pattern without correction is printed, FIG. Step S213 of the density correction process is skipped, and steps S211, S212, S214, and S215 are performed to generate print data from the image data.

  Therefore, these two confirmation patterns have no apparent difference except for density unevenness, and both of the two confirmation patterns have four types of inks arranged in parallel in the moving direction as shown in FIG. It is composed of a color strip pattern, an upper ruled line, a lower ruled line, a left ruled line, and a right ruled line.

  Each ink color belt-like pattern is generated from image data having a constant gradation value in the transport direction, and cyan, magenta, yellow, and black belt-like patterns are arranged in order from the left. Incidentally, it is desirable that the gradation value is set to a gradation value at which density unevenness is easily manifested. In this example, the gradation value is set to a halftone gradation value (= 102 (density 40%)).

  Further, like the belt-like patterns in the correction pattern described above, the belt-like patterns of these confirmation patterns are also formed by leading edge printing, normal printing, and trailing edge printing. For this reason, each belt-like pattern includes 30 dot rows in the front-end print region, 56 dot rows in the normal print region (= 7 (pieces / cycle) × 8 cycles), and 30 dots in the rear-end print region. It consists of a dot row. The upper ruled line is formed by the first dot row (dot row on the most downstream side in the carrying direction) constituting the belt-like pattern, and the lower ruled line is the last dot row (dot on the most upstream side in the carrying direction) constituting the belt-like pattern. The point formed by the column) is the same as that of the correction pattern described above.

  Next, the inspector places the paper on which the test pattern is printed by the printer 1 on the platen glass 152 of the scanner 150 and sets it on the scanner 150. Then, the scanner driver of the computer 110 causes the scanner 150 to read each confirmation pattern (S153). In the following, reading of one confirmation pattern will be mainly described, but the other confirmation pattern is read in the same manner.

  FIG. 28 is an explanatory diagram of the reading range of the confirmation pattern. The range of the alternate long and short dash line surrounding the confirmation pattern is the reading range of the confirmation pattern. This reading is performed by the same method as step S103 (reading the correction pattern) described above. As a result, the image in the reading range in the drawing is transferred to the computer 110 as rectangular image data having a reading resolution of 2880 × 2880 dpi. Read.

  Next, the correction effect confirmation program of the computer 110 detects the inclination θ of the confirmation pattern included in the image data as shown in FIG. 29A (S154), and the inclination with respect to the image data as shown in FIG. 29B. A rotation process corresponding to θ is performed (S155). It should be noted that the inclination detection and rotation processing of the confirmation pattern are also achieved by applying the same method as in step S104 (correction pattern inclination selection) and step S105 (rotation processing) described above.

  Next, the correction effect confirmation program trims unnecessary pixel data from the image data (S156). Unnecessary pixel data is pixel data located above the upper ruled line in the Y direction and below the lower ruled line in the image data indicated by the one-dotted line in FIG. 30A. Is processed into image data as shown in FIG. This trimming is also achieved by applying the same method as step S106 (trimming) described above.

Next, the correction effect confirmation program converts the resolution of the image data so that the number of pixels in the Y direction of the trimmed image data is the same as the number of dot rows constituting the confirmation pattern (S157). This resolution conversion is also performed by the same method as step S107 (resolution conversion) described above. As a result, the image data before the resolution conversion shown in FIG. 30B has the number of pixels in the Y direction confirmed as shown in FIG. 30C. The number of dot rows that make up the pattern for use is converted to the same number. As a result, the pixel rows in the X direction of the image data correspond to the row regions on a one-to-one basis.
Next, the correction effect confirmation program measures the density of each of the four color belt-like patterns in each row region (S158). The method for measuring the concentration is also substantially the same as step S108 described above.

  Hereinafter, the measurement of the density of the row region will be described using cyan among the four colors as an example, but the same applies to the other colors. As shown in the enlarged view of the confirmation pattern in FIG. 31, first, pixel data in a dotted line area excluding the left and right W4 areas of the cyan belt-like pattern is extracted for each column area. Then, the gradation values of the extracted pixel data in the above range are averaged for each column region, and each obtained average value is used as a measured value of the density of each column region. Up to this point, the process is the same as step S108 described above.

  However, in this step S158, the measured values of the density of each row region are set as “temporary measured values”, and these “temporary measured values” are smoothed in the Y direction by a method similar to the moving average method, A measured value (corresponding to a read value) of the density of each row region is obtained. That is, the average value of “provisional measurement values” of a predetermined number of column regions in the Y direction including the target column region (hereinafter referred to as the target column region) is measured as the concentration of the target column region. Value.

 Here, it is desirable that the predetermined number coincide with the number k that defines the nozzle pitch of the head 41, and the nozzle pitch k · D of the present embodiment is 4 · D. Is set to 4. For example, as shown in FIG. 31, the measured value of the density of the first row region is obtained as an average value of “temporary measurement values” of four row regions in the Y direction from the first row region. In addition, the measured value of the density of the second row region is obtained as an average value of “temporary measurement values” of four row regions in the Y direction from the second row region, and subsequently continues in the Y direction. The measured value of the density of the row region is obtained in the same manner.

The reason why the measurement value of the density of the row region is obtained by performing the smoothing process in this way is to reduce the influence of the abnormal value of the density and increase the accuracy of the measurement value.
From the viewpoint of improving the accuracy of the measurement value, it is also effective to remove the column region near the end in the Y direction, which tends to be an abnormal value due to the density of the blank space, from the density measurement target. For example, as shown in FIG. 32, the three row regions located at the front end and the rear end in the Y direction of the belt-like pattern may be excluded from the density measurement targets.

  Next, the correction effect confirmation program calculates the variation in density of each confirmation pattern (S159). The calculation of the density variation (hereinafter referred to as density variation) is performed for each divided region obtained by dividing each confirmation pattern into a grid pattern in the moving direction and the carrying direction, as shown in FIG. Done. In the illustrated example, each confirmation pattern is divided for each ink color in the moving direction and for each print area in the transport direction. As a result, the number of divided areas for each confirmation pattern is twelve. Yes.

  In the following, the cyan front print area is set as the divided area C-1, the normal print area is set as the divided area C-2, the rear end print area is set as the divided area C-3, and the magenta front print area is set as the divided area M-1. Similarly, the normal print area is the divided area M-2, the rear end print area is the divided area M-3, the yellow front print area is the divided area Y-1, the normal print area is the divided area Y-2, and the rear. The end print area is defined as a segment area Y-3, the black front print area is defined as a segment area K-1, the normal print area is defined as a segment area K-2, and the rear end print area is also defined as a segment area K-3.

Here, a so-called standard deviation σ is used as an evaluation index of the density variation in the divided area. That is, the density variation in each segmented region is as follows when the segmented region has n column regions and the measured value of the density of the jth column region included in the segmented region is C _j. Calculated by the formula.
σ = √ {[(C ₁ −C _ave ) ² +... + (C _n −C _ave ) ² ] / n}
Here, C _ave in the above formula is C _ave = (C ₁ +... + C _n ) / n.

When the density variation σ of the 12 divided regions is obtained for each of the confirmation pattern with correction and the confirmation pattern without correction, the correction effect confirmation program next determines whether or not there is a correction effect ( S160).
In this step S160, first, the density variation σ is compared for each of the corresponding divided areas for the check pattern with correction and the check pattern without correction, and based on the comparison result, the correction effect is calculated for each divided area. The presence / absence determination is performed, and as a result, the number of divided areas determined as having no correction effect is obtained.

For example, the variation σ of the divided region C-1 in the confirmation pattern with correction is subtracted from the density variation σ of the divided region C-1 in the confirmation pattern without correction, and this subtraction value Δσ is set to a preset threshold value. Compare with Δσ _th . When the subtraction value Δσ is smaller than the threshold value Δσ _th , the count value V of the segmented area having no correction effect is counted up by one, assuming that the segmented area C-1 has no correction effect, When the subtraction value Δσ is equal to or greater than the threshold value Δσ _th , the count is not counted up. It goes without saying that the count value V is reset to zero each time the density correction effect confirmation process is started. Then, the above described remaining divided areas C-2, C-3, M-1, M-2, M-3, Y-1, Y-2, Y-3, K-1, K-2, K- 3 is performed, and as a result, the number of divided areas having no correction effect is acquired as the count value V.

Next, the correction effect confirmation program compares the count value V with a preset threshold value _Vth . When the count value V is equal to or greater than the threshold value _Vth , it is determined that “there is no effect of improving density unevenness with respect to the printer 1”, and the correction effect confirmation program causes the display device 120 of the computer 110 to display the improvement effect. A message indicating that there is no message is displayed to the inspector in the inspection process. On the other hand, when the count value V is less than the threshold value _Vth , it is determined that “there is an effect of improving density unevenness with respect to the printer 1”, and the correction effect confirmation program applies the improvement effect to the display device 120 of the computer 110. Display that there is.

Note that it is not necessary to use the same value for the threshold value Δσ _th for all the divided areas, and values corresponding to the ink color and the characteristics of the printing area may be set separately. For example, it may be set different thresholds .DELTA..sigma _th for each segmented region, or, without distinction by the ink color, the tip print region, the normal printing area, and the different thresholds .DELTA..sigma _th the classification in the rear end print region You may make it set.

  Further, in the above-described density correction effect confirmation process, the density variation σ is relatively compared between the corrected confirmation pattern and the uncorrected confirmation pattern to determine whether the correction effect is present. In addition to this, an absolute value evaluation based only on the density variation σ of the confirmation pattern with correction as described below may be performed.

That is, the density variation σ of all 12 segment areas in the confirmation pattern with correction is compared with the preset absolute threshold value σ _th, and the segment area in which the density variation σ is larger than the absolute threshold value σ _th. Count the number of If the count value is greater than or equal to the absolute threshold value V _th1 , it is determined that “there is no effect of improving density unevenness with respect to the printer 1”. If the count value V is less than the threshold value V _th1 , “ It is determined that there is an effect of improving density unevenness with respect to the printer 1.

  If the determination based on the absolute value evaluation described above is performed in addition to the determination of presence / absence of the correction effect based on the relative comparison performed in step S160 described above, only the printer 1 having the effect of improving the density unevenness can be surely obtained. Will be available to market.

=== Other Embodiments ===
The above-described embodiment is mainly described with respect to the printing system 100 including the printer 1, but it goes without saying that the disclosure includes a printing apparatus, a method for confirming the effect of correcting the density of an image, and the like. .
Further, the printer 1 and the like as one embodiment have been described, but the above-described embodiment is for facilitating understanding of the present invention, and is not intended to limit the present invention. The present invention can be changed and improved without departing from the gist thereof, and it is needless to say that the present invention includes equivalents thereof. In particular, the embodiments described below are also included in the present invention.

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

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

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

<About the moving direction of the head 41>
In the above-described embodiment, it is not described whether the ink is ejected when the head 41 moves in the reciprocating direction. However, the ink is ejected only in the forward path, only in the return path, or both in the reciprocal direction. May be.

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

<Relationship between the reading resolution of the correction pattern in the correction value setting process and the reading resolution of the check pattern in the confirmation process of the density correction effect>
In the above-described embodiment, the reading resolution of the correction pattern in the correction value setting process shown in FIG. 10B and the reading resolution of the checking pattern in the density correction effect checking process shown in FIG. 25 are set to the same value (2880 × 2880 dpi). However, it is not limited to this. For example, the reading resolution of the confirmation pattern may be lower than the reading resolution of the correction pattern, for example, 720 × 720 dpi. In this way, the time required for reading the density from the confirmation pattern can be shortened, and the time required for checking the density correction effect can be shortened.

<Regarding the number of divided areas for which density variation is obtained>
In the above-described embodiment, as shown in FIG. 33, each confirmation pattern is divided into each of the ink colors and the print areas into 12 divided areas. However, the present invention is not limited to this. For example, instead of dividing each printing area, it may be divided into four divided areas for each ink color in the moving direction, or vice versa. In other words, without dividing each ink color, three divided areas may be formed by dividing each print area (front end print area, normal print area, rear end print area) in the transport direction.

1 is an explanatory diagram of 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, and FIG. 3B is a cross-sectional view of the overall configuration of the printer 1. 4 is an explanatory diagram of an arrangement of nozzles on a lower surface of a head 41. FIG. 5A is a longitudinal sectional view of the scanner 150, and FIG. 5B is a top view of the scanner 150 with the upper cover 151 removed. It is a flowchart of the operation | movement at the time of printing. 7A and 7B are explanatory diagrams of normal printing. 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, and FIG. 9C is obtained by the printing method of the present embodiment. It is explanatory drawing of a mode when a dot is formed. FIG. 4 is a flowchart of processing performed in an inspection process after manufacturing the printer 1. FIG. 10B is a flowchart of the correction value acquisition process shown in FIG. 10A. It is explanatory drawing of the test pattern for a correction value setting. 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. 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, and FIG. 14C is an explanatory diagram of image data after the rotation processing. FIG. 15A is an explanatory diagram of image data at the time of trimming, FIG. 15B is an explanatory diagram of a trimming position at an upper ruled line, and FIG. 15C is an explanatory diagram of a trimming position at a lower ruled line. It is explanatory drawing of resolution conversion. FIG. 17A is an explanatory diagram of image data at the time of detection of the left ruled line, FIG. 17B is an explanatory diagram of detection of the position of the left ruled line, and FIG. 17C is a band-like shape having a density of 30% in the first row region. It is explanatory drawing of the measurement range of the density of a pattern. 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. 20A is an explanatory diagram of the target command tone value Sbt with respect to the command tone value Sb in the row region A, and 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 B. is there. It is explanatory drawing of the correction value table of cyan. It is explanatory drawing of the correction value table for normal printing regions 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. 10B is a flowchart of the density correction effect confirmation process shown in FIG. 10A. It is explanatory drawing of the test pattern for a correction effect confirmation. It is explanatory drawing of the pattern for confirmation. It is explanatory drawing of the reading range of the pattern for confirmation. FIG. 29A is an explanatory diagram of image data at the time of tilt detection, and FIG. 29B is an explanatory diagram of image data after the rotation processing. 30A is an explanatory diagram of image data before trimming, FIG. 30B is an explanatory diagram of image data after trimming, and FIG. 30C is an explanatory diagram of image data after resolution conversion. It is explanatory drawing of the measurement of the density | concentration of each row area | region from the 1st to the 4th. It is explanatory drawing of the row | line | column area | region which may be excluded from the object of density | concentration measurement. It is explanatory drawing of the division area which is a calculation unit of the density dispersion | variation of each confirmation pattern.

Explanation of symbols

1 printer, 5 manuscripts,
20 transport unit, 21 paper feed roller, 22 transport motor, 23 transport roller,
24 platen, 25 paper discharge roller,
30 Carriage unit, 31 Carriage, 32 Carriage 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 device,
130 input device, 140 recording / reproducing device, 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 (14)

An image density correction effect confirmation method for confirming an effect of density correction performed when an image is printed based on a density correction value,
Printing a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed on one medium; and
A step of reading the density of each confirmation pattern;
And a step of confirming the effect of density correction based on the read value of the density. The image density correction effect confirmation method according to claim 1,
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Each check pattern is printed by forming a row of dots along each of the row regions arranged in the intersecting direction,
A method for confirming an image density correction effect, wherein the read value is generated for each row region. The confirmation method of the density correction effect of the image according to claim 2,
Each confirmation pattern is printed based on image data,
The image data has gradation value data of density for forming the dot rows in the row regions of the respective confirmation patterns,
The gradation value data is the same over all the row regions, and the method for checking the density correction effect of the image is characterized. In the confirmation method of the density correction effect of the image according to claim 3,
For each of the confirmation pattern in the case where the density correction is not performed and the confirmation pattern in the case where the density correction is performed, variation in the density of the row region is obtained,
An image density correction effect confirmation method, wherein the effect of density correction is confirmed based on the variation. In the confirmation method of the density correction effect of the image according to claim 4,
Each confirmation pattern is divided into divided areas larger than the row area, and the variation is obtained for each divided area.
A method for confirming the density correction effect of an image, wherein the variations of the divided areas corresponding to each other are compared with each confirmation pattern, and the effect of the density correction is confirmed based on the comparison result . In the confirmation method of the density correction effect of the image according to claim 5,
The comparison is performed by subtracting the variation in the divided area on the confirmation pattern side when the density correction is performed from the variation in the divided area on the confirmation pattern side when the density correction is not performed. Whether or not the value is less than a predetermined threshold,
A method for confirming the effect of density correction of an image, characterized in that if the number of segmented areas whose subtraction value is smaller than the threshold value is equal to or greater than a predetermined number, it is determined that there is no effect of density correction. In the confirmation method of the density correction effect of the image according to claim 5 or 6,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction,
A method for confirming an effect of correcting density of an image, wherein each of the divided areas constitutes the divided area. In the confirmation method of the density correction effect of the image according to claim 5 or 6,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction, and further, with respect to the crossing direction, an upstream end region, a downstream end region, and the two And an intermediate area between the end areas,
A method for confirming an effect of correcting density of an image, wherein each of the divided areas constitutes the divided area. In the confirmation method of the density correction effect of the image according to any one of claims 4 to 8,
The image density correction, wherein the reading value of each row area is obtained as an average value of the reading values of a plurality of row areas included in a predetermined range in the crossing direction from the row area of interest. How to check the effect. The image density correction effect confirmation method according to any one of claims 1 to 9,
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Forming a dot row along each of the row regions arranged in the crossing direction, and printing a correction pattern,
Reading the density for each row area from the correction pattern, obtaining the correction value for each row area based on the read value of the density,
An image density correction effect confirmation method, wherein when an image is printed, density correction is performed for each row region based on the correction value. The image density correction effect confirmation method according to claim 10,
The correction pattern is printed for each ink color, and each correction pattern is printed by dividing a region for each of a plurality of densities with respect to the moving direction.
Each of the confirmation patterns is divided into regions for each ink color with respect to the moving direction, and is printed at one density for each ink color. In the confirmation method of the density correction effect of the image according to claim 10 or 11,
A method for confirming an image density correction effect, wherein a reading resolution when reading density from the check pattern is lower than a reading resolution when reading density from the correction pattern. An image density correction effect confirmation method for confirming an effect of density correction performed when an image is printed based on a density correction value,
Printing a confirmation pattern when density correction is not performed and a confirmation pattern when density correction is performed on one medium; and
A step of reading the density of each confirmation pattern;
Checking the effect of density correction based on the density reading, and
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Each check pattern is printed by forming a row of dots along each of the row regions arranged in the intersecting direction,
The reading is generated for each row region,
Each confirmation pattern is printed based on image data,
The image data has gradation value data of density for forming the dot rows in the row regions of the respective confirmation patterns,
The gradation value data is the same over all the row regions,
For each of the confirmation pattern in the case where the density correction is not performed and the confirmation pattern in the case where the density correction is performed, variation in the density of the row region is obtained,
Based on the variation, the effect of density correction is confirmed,
Each confirmation pattern is divided into divided areas larger than the row area, and the variation is obtained for each divided area.
For each of the confirmation patterns, the variation of the corresponding segmented areas is compared, and based on the comparison result, the effect of density correction is confirmed,
The comparison is performed by subtracting the variation in the divided area on the confirmation pattern side when the density correction is performed from the variation in the divided area on the confirmation pattern side when the density correction is not performed. Whether or not the value is less than a predetermined threshold,
If the number of segmented areas where the subtraction value is smaller than the threshold value is greater than or equal to a predetermined number, it is determined that there is no effect of density correction,
Each confirmation pattern is divided into regions for each ink color with respect to the moving direction, and further, with respect to the crossing direction, an upstream end region, a downstream end region, and the two And an intermediate area between the end areas,
Each of the divided areas constitutes the divided area,
The reading value of each row area is obtained as an average value of the reading values of a plurality of row areas included in the predetermined range in the cross direction from the row area of interest.
The moving direction is repeated by repeating a dot forming operation for ejecting ink from a plurality of nozzles moving in the moving direction to form dots on the medium and a conveying operation for conveying the medium in a crossing direction intersecting the moving direction. Forming a dot row along each of the row regions arranged in the crossing direction, and printing a correction pattern,
Reading the density for each row area from the correction pattern, obtaining the correction value for each row area based on the read value of the density,
When printing an image, density correction is performed for each row area based on the correction value,
The correction pattern is printed for each ink color, and each correction pattern is printed by dividing a region for each of a plurality of densities with respect to the moving direction.
Each of the confirmation patterns is divided into regions for each ink color with respect to the moving direction, and is printed with one density for each ink color,
A method for confirming an image density correction effect, wherein a reading resolution when reading density from the check pattern is lower than a reading resolution when reading density from the correction pattern. A printing apparatus for printing a correction pattern for obtaining a correction value used for density correction performed at the time of printing an image,
A printing apparatus that prints a confirmation pattern when density correction is performed based on the correction value and a confirmation pattern when density correction is not performed on one medium.