Calibration system, calibration method, and image forming apparatus
A calibration system includes an imaging device, an image forming apparatus, and a table generating section. The image forming apparatus prints a test chart containing patches of colors on a sheet. The imaging device captures images of a reference chart containing patches corresponding to the patches in the test chart and the test chart on the sheet together to generate a picture. The table generating section: calculates a weighting coefficient for each of the patches in the picture based on a color intensity of the patch; calculates, as a representative value for each of gradations of color values of the patches in the picture, a weighted average of color values of the patches in the gradation based on the weighting coefficient; and generates a gamma correction table for correcting gradation characteristics of the image forming apparatus to gradation characteristics in accordance with the reference chart based on the representative values.
1. A calibration system comprising:
an imaging device; and
an image forming apparatus,
the image forming apparatus including:
a printer;
a Central Processing Unit (CPU) as a controller; and
a storage device including
(i) a calibration program,
(ii) test chart image data being image data of a test chart containing patches of a plurality of colors, and
(iii) reference chromaticity value information,
wherein
the printer prints the following (i) and (ii) on a test sheet:
(i) the test chart based on the test chart image data; and
(ii) a border that indicates a position on the test sheet in which a reference chart is to be placed, the reference chart being not printed by the printer and being more accurate than the test chart in RGB values as color values,
the CPU as the controller executes the calibration program to function as a table generating section that generates a gamma correction table for correcting gradation characteristics of the image forming apparatus to gradation characteristics in accordance with the reference chart containing patches of a plurality of colors corresponding to the colors of the patches in the test chart, and
the imaging device captures an image of the reference chart and an image of the test chart on the test sheet together to generate a picture by capturing an image of the test sheet with the reference chart placed within the border on the test sheet,
wherein the table generating section performs a gamma correction table generating process on the picture transmitted from the imaging device, and
wherein the gamma correction table generating process comprises:
identifying positions of the patches in the test chart in the picture and the patches in the reference chart in the picture;
performing shading correction on the picture;
acquiring the RGB values of the patches whose positions are identified;
performing a weighting coefficient calculating process for calculating a weighting coefficient;
calculating, based on the weighting coefficient calculated through the weighting coefficient calculating process, a representative value for each of gradations of the RGB values of the patches in the test chart in the picture and a representative value for each of gradations of the RGB values of the patches in the reference chart in the picture;
acquiring a relational expression between XYZ values acquired from the reference chromaticity value information and the representative value for each of the gradations of the RGB values of the patches in the reference chart, the XYZ values indicating chromaticity values of the patches in the reference chart;
acquiring XYZ values indicating chromaticity values of the patches in the test chart by assigning the representative value for each of the gradations of the RGB values of the patches in the test chart to the acquired relational expression; and
generating the gamma correction table based on differences between the XYZ values of the patches in the test chart and the XYZ values of the patches in the reference chart.
2. The calibration system according to claim 1 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture.
3. The calibration system according to claim 1 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.
4. The calibration system according to claim 1 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes both
(i) a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture and
(ii) a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.
5. A calibration method comprising:
printing, by an image forming apparatus, the following (i) and (ii) on a test sheet:
(i) a test chart containing patches of a plurality of colors based on test chart image data stored in the image forming apparatus; and
(ii) a boarder that indicates a position on the test sheet in which a reference chart is to be placed, the reference chart being not printed by the image forming apparatus and being more accurate than the test chart in RGB values as color values;
capturing, by an imaging device, an image of the reference chart and an image of the test chart on the test sheet together to generate a picture by capturing an image of the test sheet with the reference chart placed within the border on the test sheet, the reference chart containing patches of a plurality of colors corresponding to the colors of the patches in the test chart; and
performing a gamma correction table generating process on the picture transmitted from the imaging device;
wherein the gamma correction table generating process comprises:
identifying positions of the patches in the test chart in the picture and the patches in the reference chart in the picture;
performing shading correction on the picture;
acquiring the RGB values of the patches whose positions are identified;
performing a weighting coefficient calculating process for calculating a weighting coefficient;
calculating, based on the weighting coefficient calculated through the weighting coefficient calculating process, a representative value for each of gradations of the RGB values of the patches in the test chart in the picture and a representative value for each of gradations of the RGB values of the patches in the reference chart in the picture;
acquiring a relational expression between XYZ values acquired from the reference chromaticity value information stored in the image forming apparatus and the representative value for each of the gradations of the RGB values of the patches in the reference chart, the XYZ values indicating chromaticity values of the patches in the reference chart;
acquiring XYZ values indicating chromaticity values of the patches in the test chart by assigning the representative value for each of the gradations of the RGB values of the patches in the test chart to the acquired relational expression; and
generating the gamma correction table based on differences between the XYZ values of the patches in the test chart and the XYZ values of the patches in the reference chart.
6. The calibration method according to claim 5 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture.
7. The calibration method according to claim 5 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.
8. The calibration method according to claim 5 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes both
(i) a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture and
(ii) a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.
9. An image forming apparatus comprising:
a printer;
a Central Processing Unit (CPU) as a controller; and
a storage device including
(i) a calibration program,
(ii) test chart image data being image data of a test chart containing patches of a plurality of colors, and
(iii) reference chromaticity value information,
wherein
the printer prints the following (i) and (ii) on a test sheet:
(i) the test chart based on the test chart image data; and
(ii) a border that indicates a position on the test sheet in which a reference chart is to be placed, the reference chart being not printed by the printer and being more accurate than the test chart in RGB values as color values,
the CPU as the controller executes the calibration program to function as a table generating section that generates a gamma correction table for correcting gradation characteristics of the image forming apparatus to gradation characteristics in accordance with the reference chart containing patches of a plurality of colors corresponding to the colors of the patches in the test chart,
wherein the table generating section performs a gamma correction table generating process on the picture transmitted from the imaging device, the picture being generated by capturing an image of the test sheet with the reference chart placed within the border on the test sheet by the imaging device,
wherein the gamma correction table generating process comprises:
identifying positions of the patches in the test chart in the picture and the patches in the reference chart in the picture;
performing shading correction on the picture;
acquiring the RGB values of the patches whose positions are identified;
performing a weighting coefficient calculating process for calculating a weighting coefficient;
calculating, based on the weighting coefficient calculated through the weighting coefficient calculating process, a representative value for each of gradations of the RGB values of the patches in the test chart in the picture and a representative value for each of gradations of the RGB values of the patches in the reference chart in the picture;
acquiring a relational expression between XYZ values acquired from the reference chromaticity value information and the representative value for each of the gradations of the RGB values of the patches in the reference chart, the XYZ values indicating chromaticity values of the patches in the reference chart;
acquiring XYZ values indicating chromaticity values of the patches in the test chart by assigning the representative value for each of the gradations of the RGB values of the patches in the test chart to the acquired relational expression; and
generating the gamma correction table based on differences between the XYZ values of the patches in the test chart and the XYZ values of the patches in the reference chart.
10. The image forming apparatus according to claim 9 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture.
11. The image forming apparatus according to claim 9 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.
12. The image forming apparatus according to claim 9 , wherein
the weighting coefficient calculated through the weighting coefficient calculating process includes both
(i) a color value variance-based weighting coefficient based on a variance of the RGB values of pixels in each of the patches in the picture and
(ii) a predicted lightness-based weighting coefficient based on a predicted lightness of each of the patches in the picture assuming the patch is a blank portion of the picture.