JP4793246B2 - Image forming apparatus - Google Patents

Description

  The present invention relates to a technique for correcting the color reproducibility of a formed image.

  Image forming apparatuses such as printers and copiers have various problems that degrade the color reproducibility of images. For example, an image formed by an electrophotographic image forming apparatus is likely to cause in-plane streaks and unevenness due to circumstances peculiar to the electrophotographic method, and is more uniform in density than other recording methods such as an ink jet method. Inferior. Such a phenomenon that the density becomes non-uniform in the plane is hereinafter referred to as “in-plane unevenness”. As a technique for improving in-plane unevenness, for example, there is a technique described in Patent Document 1.

In the image forming apparatus, changes or differences may occur in color reproduction characteristics due to changes over time, environmental changes, or individual differences. As a technique for stably maintaining color reproduction characteristics, for example, there is calibration. Here, calibration refers to printing a number of color patches (patch-like images) extracted from the color gamut of the image forming apparatus, and measuring the colors to print each color patch in its original color. In this way, the image forming apparatus is adjusted.
JP-A-6-3911

  By the way, in order to perform in-plane unevenness correction and calibration, separate operations are required. Therefore, if these are executed frequently, a lot of time is required, and as a result, the processing efficiency of the image forming apparatus decreases.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique that enables efficient work when correcting color reproducibility using a plurality of methods. It is in.

In order to solve the above-described problem, the present invention provides a first test representing a first test image having a strip image having a plurality of different color strip images having the same color in the main scanning direction or the sub-scanning direction. image forming the image data, and a supply means for supplying a second test image data representing the second test image which is different from the first test image, the image represented by the supplied image data by the supply means to the sheet Formed by the forming means, the image reading means for reading the first or second test image formed on the sheet by the image forming means, and generating read image data representing the read image, and the image reading means It said first extracts a plurality of points from each area corresponding to the belt-shaped image of the first scanned image data representing a test image, based on the difference between colors of the respective points, entry First correction information generating means for generating first correction information to be applied to the image data, second read image data representing the second test image generated by the image reading means, and the first Second correction information generating means for generating second correction information to be applied to the input image data based on a difference from the second test image data, and the supply means includes the first test image. After supplying the data and generating the first correction information by the first correction information generating unit , the color of each point is based on the first read image data generated by the image reading unit. calculates a value indicating the degree of difference from the reference value, if the value is equal to or greater than the threshold, to provide an image forming apparatus and determines that supplying the second test image data .
In the image forming apparatus, the supply unit may perform the second test when an average value of a plurality of the regions indicating a degree of difference from a color reference value of each point is equal to or greater than the threshold value. It may be determined that image data is supplied.
The supply means supplies the second test image data when a standard deviation of the plurality of regions having a value indicating a degree of difference from the color reference value of each point is equal to or greater than the threshold value. Then, it may be determined.

Further, the present invention includes a first patch-like image having a plurality of patch-like images having different colors at predetermined positions, and having the patch-like image at a plurality of positions having different positions in a main scanning direction or a sub-scanning direction for a certain color. Supply means for supplying first test image data representing a test image and second test image data representing a second test image different from the first test image, and image data supplied by the supply means An image forming unit that forms an image on the sheet; an image reading unit that reads the first or second test image formed on the sheet by the image forming unit and generates read image data representing the read image; The difference between the first read image data representing the first test image generated by the image reading means and the first test image data. Accordingly, first correction information generating means for generating first correction information to be applied to the input image data, and second read image data representing the second test image generated by the image reading means. And second correction information generating means for generating second correction information to be applied to the input image data based on the difference from the second test image data, and the supply means 1 test image data is supplied, and after the first correction information generating unit generates the first correction information, the first read image data generated by the image reading unit is used to A value indicating a degree of difference between colors at a plurality of positions corresponding to a certain color position is calculated, and when the value is equal to or greater than a threshold, it is determined that the second test image data is supplied. Image To provide a deposition apparatus.
In this image forming apparatus, the second test image has a strip image having a plurality of different color strip images having the same color in the main scanning direction or the sub scanning direction, and the second correction information. The generation unit extracts a plurality of points from each region corresponding to the belt-like image in the second read image data, and generates the second correction information based on a difference between colors of the points. Also good.
The supply means supplies the second test image data when an average value of the plurality of patch-like images having a value indicating the degree of difference between the colors at the plurality of positions is equal to or greater than the threshold value. Then, it may be determined.

  According to the present invention, when color reproducibility is corrected using a plurality of methods, the work can be performed efficiently.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.
(A) Configuration of Embodiment FIG. 1 is a block diagram illustrating a hardware configuration of an image forming apparatus 1. As shown in FIG. 1, the image forming apparatus 1 includes a control unit 10, an image reading unit 20, an image forming unit 30, a storage unit 40, a UI (User Interface) unit 50, and a communication unit 60. ing.

  The control unit 10 includes a central processing unit (CPU) that controls the entire apparatus, a random access memory (RAM) that provides a work area for work, and a read only memory (ROM) that stores various control programs. Arithmetic processing is performed according to the described procedure.

The image reading unit 20 is a so-called scanner, and includes a light source, an imaging lens, and a line sensor (not shown). The light source irradiates light on an object to be imaged such as a document. The imaging lens forms an image of reflected light from the object to be picked up at the position of the line sensor. The line sensor receives the imaged light, and generates and outputs an image signal corresponding to the light. In the present embodiment, the line sensor includes an image sensor that can image in three colors of R (red), G (green), and B (blue), and generates image signals of these three colors. Then, the image reading unit 20 performs processing such as A / D conversion and shading correction on the image signal, and generates image data composed of pixel data of 8 bits (256 gradations).
Note that the image reading unit 20 outputs the pixel data as color values in the RGB color space. In order to distinguish from other image data, the image data generated by the image reading unit 20 is hereinafter referred to as “read image data”.

Next, the image forming unit 30 will be described. The image forming unit 30 includes an image forming unit and a fixing unit.
An image forming unit is provided for each color toner of cyan (C), magenta (M), yellow (Y), and black (K). Part. The photosensitive drum is a drum-shaped member that rotates around a shaft at a predetermined speed, and is charged to a predetermined potential by a charging unit. The exposure unit irradiates the charged photosensitive drum with laser light to form an electrostatic latent image. The scanning direction of this laser beam is equal to the axial direction of the photosensitive drum. In the present embodiment, this direction is the main scanning direction of the image forming unit 30 and is simply referred to as “main scanning direction” unless otherwise specified. The direction orthogonal to the main scanning direction is defined as the sub-scanning direction of the image forming unit 30 and is simply referred to as “sub-scanning direction”. The developing unit develops a toner image by attaching toner to the electrostatic latent image formed on the photosensitive drum. The transfer unit transfers each color toner image developed on the photosensitive drum onto a sheet such as paper. The fixing unit fixes the toner image transferred to the sheet.

  The storage unit 40 is a storage device such as an HDD (Hard Disk Drive), and stores various data such as test image data. The UI unit 50 is a user interface such as a touch panel that allows a user to perform an operation input and perform notification including display for the user. The communication unit 60 is an interface device for performing communication via a network such as a LAN (Local Area Network), and receives image data from an external terminal such as a computer (not shown) and outputs various types of information. .

  In addition to the arithmetic processing for controlling each unit of the image forming apparatus 1, the control unit 10 executes various image processes applied to the image data. A part of image processing executed by the control unit 10 is illustrated in FIG. 2, for example. FIG. 2 is a functional block diagram showing in-plane unevenness correction and calibration functions realized by the control unit 10 and the storage unit 40. In the figure, a test image supply unit 11, a selection unit 12, an unevenness correction information generation unit 13, a calibration information generation unit 14, a conversion unit 15, and a correction unit 16 are control programs stored in a ROM included in the control unit 10. This is realized by reading and executing. The arrows in the figure schematically show the flow of data.

  The test image supply unit 11 supplies the test image data stored in the storage unit 40 to the selection unit 12. There are two types of test image data supplied by the test image supply unit 11. One is image data representing a test image serving as a basis for correcting in-plane unevenness, and the other is image data representing a test image serving as a basis for calibration. In the following, a test image that is a basis for correcting in-plane unevenness is referred to as “test image A”, and image data representing this is referred to as “test image data A”. Also, the test image that is the basis of calibration is referred to as “test image B”, and the image data representing this is referred to as “test image data B”.

Here, the test image A and the test image B will be described with examples.
The test image A is an image having a band-shaped image region (hereinafter referred to as “band-shaped image”) having the same color in the main scanning direction for a plurality of different colors. 3A and 3B illustrate an example of the test image A. FIG.
The test image data A1 representing the test image A1 shown in FIG. 3A includes 20%, 40%, and C, M, Y, and K belt-like images that are the colors of the toner included in the image forming unit 30, respectively. It is generated so as to be formed on a sheet at a concentration of 60%, 80%, or 100%. Also, the test image data A2 representing the test image A2 shown in FIG. 3B is 20% of the R, G, and B strip images that are colors that can be captured by the line sensor of the image reading unit 20, respectively. , 40%, 60%, 80%, and 100% density.
In the present embodiment, “density” indicates the coverage of toner on a sheet per unit area, 0% being colorless (background color) and 100% representing a so-called solid color.

In the test image B, a plurality of color patch images are arranged in a grid pattern. In this test image B, there are one or a plurality of patch-like images of the same color. The color of the plurality of patch-like images is a predetermined color determined in advance.
FIG. 4 illustrates the test image B. As shown in the figure, the test image data B representing the test image B is generated so that patch-like images having predetermined densities for C, M, Y, and K are formed at predetermined positions on the sheet. ing. For example, the colors of the patch-like images x1, x2 and x3 are generated so that they are formed on the sheet in red, which is represented by a density of 0% for C, 100% for M, 100% for Y, and 0% for K. ing. In the following, patch-like images designated so that the densities of the respective colors are equal, such as the patch-like images x1, x2, and x3, are referred to as “same-density patch-like images”.

  Further, when the test image B includes a plurality of patch-like images having the same density, these patch-like images are not at the same position at least in the main scanning direction, and each distance is as large as possible. Has been placed. The reason why patch images having the same density are not set to the same position in the main scanning direction is to detect in-plane unevenness that occurs in the main scanning direction. In general, the number of patch-like images included in a test image used for calibration is, for example, 200 to 1000. As a color having a plurality of patch-like images, for example, a primary color represented by any one of C, M, Y, and K, and a high degree of importance due to a high use frequency in image forming processing, etc. There is a color.

A description will be given with reference to FIG. 2 again.
The selection unit 12 selectively supplies either the test image data acquired from the test image supply unit 11 or the image data acquired from the correction unit 16 described later to the image forming unit 30. The selection unit 12 supplies the test image data supplied from the test image supply unit 11 to the image forming unit 30 when generating correction information to be described later, and obtained from the correction unit 16 in other cases. Image data is supplied to the image forming unit 30.

  The unevenness correction information generation unit 13 acquires read image data (hereinafter referred to as “read image data A”) generated by the image reading unit 20 reading the test image A, and obtains the read image data A and the test image data A. Correction information for correcting in-plane unevenness based on the difference is generated. The correction information generated by the unevenness correction information generation unit 13 is hereinafter referred to as “unevenness correction information”. Specifically, first, the unevenness correction information generation unit 13 displays the color of each pixel data constituting the read image data A in the RGB color space for each of a plurality of predetermined positions (for example, 5 to 30) in the main scanning direction. The value and the colorimetric value of the pixel data corresponding to the pixel data of the test image data A are color space converted to the CMYK color space. The color values in the CMYK color space are made up of four color components, C, M, Y, and K, and the values of each color component correspond to the density of toner of each color when an image is formed on the sheet. The unevenness correction information generation unit 13 obtains input / output characteristics for each color component at each predetermined position in the main scanning direction, and generates a lookup table for changing these input / output characteristics to the target input / output characteristics. . The correction information defined in the lookup table in this way is unevenness correction information. Then, the unevenness correction information generation unit 13 stores the unevenness correction information in the storage unit 40.

The calibration information generation unit 14 acquires read image data (hereinafter referred to as “read image data B”) generated by the image reading unit 20 reading the test image B, and the read image data B and the test image data B are obtained. Correction information for executing calibration is generated based on the difference. The correction information generated by the calibration information generation unit 14 is hereinafter referred to as “calibration information”.
Specifically, the calibration information generation unit 14 first converts the color values of the read image data B and the color values of the test image data B from the RGB color space to the CMYK color space. Then, the calibration information generation unit 14 performs ideal color reproduction in which the color specification value of each patch image of the test image B matches the color specification value of the position corresponding to the patch image of the read image data B. Create a lookup table that changes to be characteristic. The correction information defined in the lookup table in this way is calibration information. Then, the calibration information generation unit 14 stores the calibration information in the storage unit 40.
In the present embodiment, since the position of the read image data B corresponding to the patch-like image of the test image B includes a plurality of pixel data, the average of the colorimetric values of these pixel data is calculated as the position. It is treated as a color value. In the case of a color having a plurality of patch-like images of the same density, the average value of the color values of the patch-like image and the average value of the color values of the positions corresponding to the patch-like images of the read image data B are obtained. Then, calibration information that produces ideal color reproduction characteristics is generated.

  As described above, when the selection unit 12 supplies the test image data acquired from the test image supply unit 11 to the image forming unit 30, either the test image data A or the test image data B is supplied. It will be. At this time, the test image supply unit 11 supplies either the test image data A or the test image data B to the selection unit 12. As a result, unevenness correction information or calibration information is generated. Thereafter, the test image supply unit 11 determines whether to supply the other test image data of the test image data A or the test image data B based on the read image data supplied from the image reading unit 20. To do.

  The conversion unit 15 converts input image data into a format that can be output by the image forming unit 30. That is, the conversion unit 15 performs rasterization processing and color space conversion processing on image data expressed in the RGB color space, the CIELAB color space, and the like, and converts the image data into raster format image data expressed in the CMYK color space. That is, the image data after conversion by the conversion unit 15 is image data composed of pixel data represented by the color values of the CMYK color space. The correction unit 16 corrects the image data converted by the conversion unit 15 so that the calibration information and the unevenness correction information described as the lookup table are applied to the image data.

(B) Operation of Embodiment Based on the above configuration, the image forming apparatus 1 forms an image according to image data received via the communication unit 60 or image data generated by the image reading unit 20. The image forming apparatus 1 operates in an operation mode of either “normal mode” or “color correction mode”. The “normal mode” refers to an operation mode when the image forming apparatus 1 forms an image corresponding to image data instructed by the user. In addition, the “color correction mode” refers to an operation mode when the image forming apparatus 1 generates (updates) correction information necessary for performing in-plane unevenness correction and calibration.

When the image forming apparatus 1 operates in the normal mode, the control unit 10 acquires the image data via the image reading unit 20 or the communication unit 60, converts the color space of the image data into the CMYK color space, The image forming unit 30 forms an image on a sheet using each color toner. At this time, the control unit 10 causes the correction information described above to act on the image data, corrects in-plane unevenness, and performs calibration, and then supplies this to the image forming unit 30.
When the image forming apparatus 1 operates in the color correction mode, the control unit 10 supplies test image data to the image forming unit 30 to form a test image on the sheet. The user of the image forming apparatus 1 causes the image reading unit 20 to read the sheet on which the test image is formed. Then, the image reading unit 20 reads the test image and generates image data representing the read image.
Switching of the operation mode in the image forming apparatus 1 is performed at an appropriate timing. For example, the image forming apparatus 1 operates in the color correction mode when the user gives an instruction via the UI unit 50, or in a predetermined cycle, and operates in the normal mode at other times.

  In the color correction mode, when one of the above-described unevenness correction information and calibration information is generated, the control unit 10 performs a process of determining whether to generate the other correction information. The control unit 10 determines whether to generate calibration information after generating unevenness correction information, and determines whether to generate unevenness correction information after generating calibration information. Therefore, each case will be described below.

(B-1) Operation example 1
First, a case where the control unit 10 determines whether to generate calibration information after generating unevenness correction information will be described. FIG. 5 is a flowchart showing processing executed by the control unit 10.
First, when the read image data A generated by the image reading unit 20 is supplied, the control unit 10 generates unevenness correction information (step SA1). Next, the control unit 10 starts the process of converting the RGB color space from the RGB color space to the CIELAB color space and determining whether to generate calibration information.

The control unit 10 extracts M × N pixel data from the read image data A, and displays the color values C _{k, p} (k = 1,..., N, p = 1,..., M ) Is specified (step SA2). The color value C _{k, p} is represented by a vector in the CIELAB color space, and C _{k, p} = (L * _{k, p} , a * _{k, p} , b * _{k, p} ). For the read image data A, the control unit 10 selects M pixel data from a predetermined position in the main scanning direction and N pixel data from a predetermined position in the sub-scanning direction. At this time, the control unit 10 extracts M pixel data from each of the positions corresponding to the N belt-like images, and specifies the respective color values C _{k, p} .

Next, the control unit 10 calculates a value R1 for determining whether or not to generate calibration information by performing calculations shown in the following equations (1) and (2) (step SA3).

Expression (1) is an expression for calculating an average value C _{k, m} of colorimetric values of pixel data extracted from a plurality of positions of the belt-like image. That is, the control unit 10 calculates N average values C _{k, m} (k = 1 to N) corresponding to the number of selected band-like images by performing the calculation shown in the equation (1). Equation (2) calculates the average value R1 of the difference (color difference) between the average value C _{k, m} obtained in Equation (1) and the reference value C _{k, T} of the average value for each strip image. It is an expression to do. The reference value C _{k, T} is determined based on, for example, the color value when the color reproduction characteristic at the position of the read image data A corresponding to each strip image of the test image A is ideal. Therefore, the larger the value of R1, the more the color reproduction characteristic of the image represented by the read image data A is deviated from the ideal one.

  Then, the control unit 10 determines whether or not the calculated average value R1 is greater than or equal to a predetermined threshold value Th1 (step SA4). If the control unit 10 determines that the average value R1 is equal to or greater than the threshold value Th1 (step SA4; YES), the color reproduction characteristic is relatively largely deviated from the ideal one, and it is necessary to generate calibration information. (Step SA5). Based on this determination result, the control unit 10 causes the UI unit 50 to display a message such as “color reproduction characteristics are bad. Please execute calibration.” And request the user to update calibration information. Notify that you want to. At this time, the control unit 10 may cause the image forming unit 30 to form the test image B and prepare for the subsequent process of generating calibration information.

  On the other hand, if the control unit 10 determines that the average value R1 is less than the threshold Th1 (step SA4; NO), the deviation from the ideal color reproduction characteristic is relatively small, and it is necessary to generate calibration information. It is determined that there is no image (step SA6), and the process in the color correction mode is terminated. The control unit 10 may display a message such as “color reproduction characteristics are good” on the UI unit 50 based on the determination result.

(B-2) Operation example 2
Next, a case where the control unit 10 determines whether to generate unevenness correction information after generating calibration information will be described. FIG. 6 is a flowchart showing a flow of processing executed by the control unit 10.
First, when the read image data B representing the test image B generated by the image reading unit 20 is supplied, the control unit 10 generates calibration information (step SB1). Next, the control unit 10 starts a process of determining whether to generate unevenness correction information by converting the color value of the supplied read image data B from the RGB color space to the CIELAB color space.

The control unit 10 specifies the color value C _{i, j} at the position corresponding to each patch-like image of the read image data B (step SB2). Here, the test image data B is a patch-like image density S _i shall have m _i pieces, the color values C _i of the position of the read image data B corresponding to each patch-shaped _{image, j} (i = 1 to n, j = 1 to m _i ). The color value C _{i, j} is represented by a vector in the CIELAB color space, and C _{i, j} = (L * _{i, j} , a * _{i, j} , b * _{i, j} ).

Next, the control unit 10 calculates a value R2 for determining whether or not to generate unevenness correction information by performing calculations shown in the following equations (3) and (4) (step SB3).

Expression (3) is an expression for obtaining the norm (color difference) between the colorimetric values at the positions corresponding to the patch-like image of the read image data B having the density S _i and obtaining the average value ΔE _i thereof. Here, C (m i, ₂₎ indicates the number of combinations that can be taken when selecting the two color values from m _i pieces of color values, (u, v) is, C ( m _i , 2) A value indicating a specific combination of patch-like images. For example, if attention is paid to patch-like images x1, x2, and x3 having the same density shown in FIG. 4, the number of combinations for obtaining the difference is C (3, 2) = 3, and (u, v) = (1, 2), (1,3), (2,3). By performing the calculation shown in Expression (3), n average values ΔE _i corresponding to the concentrations S _i are obtained, and by performing the calculation shown in Expression (4), n values obtained in Expression (3) are obtained. The average value R2 of the average value ΔE _i of the.

  The color values of the positions corresponding to the patch-like images of the same density in the read image data B should originally match each other. However, if in-plane unevenness occurs, there is a difference between them. Since the average value R2 is calculated based on these differences, the average value R2 serves as an index indicating the degree of in-plane unevenness density difference, the size of the generated region, and the like in the read image data B. Therefore, the larger the value of R2, the greater the degree of occurrence of in-plane unevenness in the image represented by the read image data B.

  Then, the control unit 10 determines whether or not the calculated average value R2 is greater than or equal to a predetermined threshold Th2 (step SB4). If the control unit 10 determines that the average value R2 is equal to or greater than the threshold value Th2 (step SB4; YES), since the degree of occurrence of in-plane unevenness of the image forming apparatus 1 is relatively large, it is necessary to generate unevenness correction information. It is determined that there is (step SB5). Based on this determination result, the control unit 10 causes the UI unit 50 to display a message such as “In-plane unevenness correction is insufficient. Please update the unevenness correction information.” Informs that an update of information is requested. At this time, the control unit 10 may cause the image forming unit 30 to form the test image A and prepare for processing for generating subsequent unevenness correction information.

  On the other hand, if the control unit 10 determines that the average value R2 is less than the threshold value Th2 (step SB4; NO), it means that the degree of in-plane unevenness is relatively small, so it is necessary to generate unevenness correction information. It is determined that there is not (step SB6). Based on the determination result, the control unit 10 displays a message such as “good unevenness correction” on the UI unit 50, and ends the processing in the color correction mode.

  In the color correction mode, the user of the image forming apparatus 1 may set in advance whether the image forming apparatus 1 is required to generate unevenness correction information or calibration information. The forming apparatus 1 itself may set. In particular, when the image forming apparatus 1 sets, it is desirable to consider the state of the own apparatus. For example, when the image forming apparatus 1 performs an operation in the color correction mode, if the image forming apparatus 1 has characteristics that are relatively likely to cause in-plane unevenness, generation of unevenness correction information as in the operation example 1 described above is essential. On the other hand, when the image forming apparatus 1 has a characteristic that the color reproduction characteristic is likely to deviate from an ideal one, the generation of calibration information as in the operation example 2 described above is indispensable. . Further, as described above, since the average values R1 and R2 are values indicating the color reproduction characteristics and the in-plane unevenness state, the control unit 10 determines any correction information from the values of R1 and R2. It may be determined whether update is required, and the correction information that is essential may be determined.

  In addition, when the correction information required by the user is not specified, or when it is not specified which correction information is required by the image forming apparatus 1 itself, it is specified by the user every time processing is performed in the color correction mode. You may let them. For example, when the operation mode of the image forming apparatus 1 is switched to the color correction mode by the user operating the UI unit 50, the control unit 10 displays a message “Which correction should be performed?” On the UI unit 50. To specify whether to update unevenness correction information or calibration information.

  As described above, in the present embodiment, generation of one of correction information necessary for correction of in-plane unevenness and calibration is essential, and the other is generated as necessary. The image forming apparatus 1 can effectively determine whether or not to generate the other correction information by using a test image necessary for essential correction. Therefore, the image forming apparatus 1 generates only the correction information that needs to be updated, and reduces the time and labor required for the processing in the color correction mode, thereby forming an image with good image quality while preventing a decrease in processing efficiency. can do.

  Furthermore, when there is a difference between the frequency of updating calibration information and the frequency of updating unevenness correction information, the image forming apparatus 1 can easily determine an appropriate timing for updating low-frequency correction information. For example, when the unevenness correction information needs to be updated several times a day and the calibration information needs to be updated once a day, the image forming apparatus 1 determines whether or not the calibration information needs to be updated. This process is performed several times a day. If the image forming apparatus 1 determines that the calibration information needs to be updated, the image forming apparatus 1 updates the information promptly. Therefore, the image forming apparatus 1 can update at an appropriate timing, and can improve the image quality, rather than updating the correction information at a low frequency based on, for example, a predetermined timing or a user's judgment as in the past. An image can be formed while maintaining.

(C) Modifications Note that the present invention is not limited to the above-described embodiment, and can be implemented in various modes. Specifically, the following modifications are mentioned, for example. These modifications can be combined as appropriate.
In the above-described embodiment, the unevenness correction information is information for correcting in-plane unevenness that occurs in the main scanning direction, but is information for correcting in-plane unevenness that occurs in the sub-scanning direction. It is also possible. In this case, the test image corresponding to the test image A may be an image having a band-shaped image region having the same color in the sub-scanning direction for a plurality of different colors. The unevenness correction information generation unit 13 obtains input / output characteristics for each color component at a predetermined position in the sub-scanning direction in the same procedure as in the above-described embodiment, and sets these input / output characteristics as target input / output characteristics. Generate a lookup table to change. In the operation example 2, the control unit 10 obtains the degree of in-plane unevenness that occurs in the sub-scanning direction in order to determine whether to update unevenness correction information. Therefore, the test image corresponding to the test image B includes an image in which a plurality of patch-like images having the same density are arranged at least at the same position in the sub-scanning direction and each distance is as large as possible. do it.

In the above-described embodiment, in the operation example 1, when the control unit 10 determines whether to generate calibration information, the determination is based on whether the average value R1 is greater than or equal to the threshold Th1. However, the determination may be made using the standard deviation of the difference between the average value C _{k, m} and the reference value C _{k, T.} When the standard deviation is equal to or greater than a predetermined threshold, the color reproduction characteristics of the image forming apparatus 1 have a large variation from the ideal color reproduction, and therefore the deviation from the ideal color reproduction characteristic is relatively large. Means that. Therefore, the control unit 10 determines that the generation of calibration information is necessary. On the other hand, if the standard deviation is less than a predetermined threshold value, the color reproduction characteristics of the image forming apparatus 1 have a small variation from the ideal color reproduction, so that the deviation from the ideal color reproduction characteristics is relatively small. Means that. Therefore, the control unit 10 determines that it is not necessary to generate calibration information.
When the control unit 10 determines whether or not to generate calibration information, the degree of deviation from the ideal color reproduction characteristic is obtained, not limited to Equations (1) and (2). Any expression can be used as long as it can be used.

  In the embodiment described above, in the operation example 2, when the control unit 10 determines whether to generate unevenness correction information, the color specification of the position corresponding to the patch-like image of the same density in the read image data B is used. Although the determination is based on the difference between the values, the colorimetric values of the patch-like images having the same density in the test image B do not have to match exactly. This is because even if the colors of the patch-like images having the same density are slightly different, the difference between the color values is relatively small. Therefore, when the color difference between the patch-like images having the same density in the test image B is sufficiently smaller than the threshold Th2, the image forming apparatus 1 applies the patch-like images whose colorimetric values do not exactly coincide with each other to the same density. It may be handled as a state image.

In the embodiment described above, in the operation example 2, when the control unit 10 determines whether to generate unevenness correction information, the color specification of the position corresponding to the patch-like image of the same density in the read image data B is used. The determination was made based on the average value difference. However, the control unit 10 obtains a median value for each component (L * _{i, j} , a * _{i, j} , b * _{i, j} ) of those color values, and represents the color of the position corresponding to the patch image. You may determine based on the difference with a value. If the control unit 10 determines that any of the differences may be larger than a predetermined threshold value, it means that the degree of occurrence of in-plane unevenness is relatively large. Is determined to be necessary.
Note that, when the control unit 10 determines whether to generate unevenness correction information, the expression is not limited to Equations (3) and (4), and any equation that can determine the degree of occurrence of in-plane unevenness. Any formula may be used.

In the embodiment described above, when the image forming apparatus 1 reads a test image, the correction information is generated using the color values in the CIELAB color space. However, the XYZ color space, the HSV color space, the CIEUV color space, It may be an RGB color space, a CMYK color space, or the like. In other words, if the color space of the pixel data constituting the test image data and the value of the pixel data constituting the read image data corresponding to the test image data are the same, the same as in the above-described embodiment. The image forming apparatus 1 can determine whether to generate correction information or whether to generate correction information.
The image forming unit included in the image forming unit 30 stores toners of four colors C, M, Y, and K. However, toners of different colors may be stored.

1 is a block diagram illustrating a configuration of an image forming apparatus according to an embodiment of the present invention. It is a functional block diagram which shows the function implement | achieved by a control part and a memory | storage part. It is a figure which shows an example of a test image. It is a figure which shows an example of a test image. It is a flowchart which shows the procedure of the operation | movement which a control part determines the presence or absence of the production | generation of calibration information. It is a flowchart which shows the procedure of the operation | movement which a control part determines the presence or absence of the production | generation of nonuniformity correction information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Image forming apparatus, 10 ... Control part, 11 ... Test image supply part, 12 ... Selection part, 13 ... Unevenness correction information generation part, 14 ... Calibration information generation part, 15 ... Conversion part, 16 ... Correction part, 20 ... an image reading unit, 30 ... an image forming unit, 40 ... a storage unit, 50 ... a UI unit, 60 ... a communication unit.

Claims (6)

First test image data representing a first test image having a plurality of different color belt-like images having the same color in the main scanning direction or the sub-scanning direction , and a second different from the first test image Supply means for supplying second test image data representing the test image;
Image forming means for forming an image represented by the image data supplied by the supplying means on a sheet;
Image reading means for reading the first or second test image formed on the sheet by the image forming means and generating read image data representing the read image;
A plurality of points are extracted from each region corresponding to the band-like image of the first read image data representing the first test image generated by the image reading unit, and based on the difference between the colors of the points. First correction information generating means for generating first correction information to be applied to the input image data;
Second correction to be applied to input image data based on the difference between the second read image data representing the second test image generated by the image reading means and the second test image data Second correction information generating means for generating information,
The supply means includes
After supplying the first test image data and generating the first correction information by the first correction information generating unit, the first test image data is generated based on the first read image data generated by the image reading unit. Calculating a value indicating the degree of difference from the color reference value of each point, and determining that the second test image data is to be supplied when the value is equal to or greater than a threshold value. Image forming apparatus. A first test image representing a first test image having a plurality of patch-like images having different colors at predetermined positions and having the patch-like images at a plurality of positions having different positions in the main scanning direction or sub-scanning direction for a certain color. Supply means for supplying the second test image data representing the second test image different from the first test image,
Image forming means for forming an image represented by the image data supplied by the supplying means on a sheet;
Image reading means for reading the first or second test image formed on the sheet by the image forming means and generating read image data representing the read image;
First correction to be applied to input image data based on the difference between the first read image data representing the first test image generated by the image reading means and the first test image data First correction information generating means for generating information;
Second correction to be applied to input image data based on the difference between the second read image data representing the second test image generated by the image reading means and the second test image data Second correction information generating means for generating information,
The supply means includes
After supplying the first test image data and generating the first correction information by the first correction information generating unit, the first test image data is generated based on the first read image data generated by the image reading unit. A value indicating the degree of difference between colors at a plurality of positions corresponding to the position of the certain color is calculated, and when the value is equal to or greater than a threshold value, it is determined that the second test image data is supplied.
An image forming apparatus. The second test image has a strip image having a plurality of different color strip images having the same color in the main scanning direction or the sub scanning direction,
The second correction information generation unit extracts a plurality of points from each region corresponding to the belt-like image in the second read image data, and based on a difference between colors of the points, the second correction information generation unit Generate correction information
The image forming apparatus according to claim 2. Before Symbol supply means,
When the above average value for a plurality of the regions of the shows to values of the degree of difference between different from the reference value of the color of each point is equal to or larger than the threshold value, it is determined that supplying the second test image data The image forming apparatus according to claim 1, wherein: Before Symbol supply means,
Wherein when the standard deviation for a plurality of the regions of the shows to values of the degree of difference between different from the reference value of the color of each point is equal to or larger than the threshold value, it is determined that supplying the second test image data The image forming apparatus according to claim 1, wherein: Before Symbol supply means,
If the average value for the plurality of patch-shaped image shown to values of the degree of difference between different between colors of said plurality of positions is equal to or larger than the threshold value, it is determined that supplying the second test image data The image forming apparatus according to claim 2 .

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