Abstract: There is provided with an information processing apparatus. A first obtaining unit obtains data of a reference image indicating a target of printing output to be performed by a printing apparatus. A second obtaining unit obtains data of an image printed by the printing apparatus. A correcting unit corrects a local image density difference or the reference image based on a global image density difference between the reference image and the printed image. An evaluating unit evaluates quality of the printed image based on the local image density difference between the corrected reference image and the printed image.

Abstract: An image processing apparatus comprises a first acquisition unit configured to acquire a first image obtained by scanning a first printed material printed based on print data, a second acquisition unit configured to acquire one or more second images obtained by scanning a second printed material printed based on the print data, and a generation unit configured to generate an image obtained from the first image and at least one second images among the one or more second images acquired by the second acquisition unit, as a reference image to be compared with a third image obtained by scanning a third printed material printed based on the print data in order to inspect presence or absence of a defect in the third image.

Abstract: An image processing apparatus comprises a first acquisition unit configured to acquire a first image obtained by scanning a first printed material printed based on print data, a second acquisition unit configured to acquire one or more second images obtained by scanning a second printed material printed based on the print data, and a generation unit configured to generate an image obtained from the first image and at least one second images among the one or more second images acquired by the second acquisition unit, as a reference image to be compared with a third image obtained by scanning a third printed material printed based on the print data in order to inspect presence or absence of a defect in the third image.

Abstract: There is provided with an image processing device. A correcting unit corrects a first difference between a density of a partial region in a print image obtained by scanning a printed matter to be inspected and a density of a region corresponding to the partial region in a reference image using a second difference between a density of a region including the partial region in the print image and a density of a region corresponding to the region including the partial region in the reference image. An inspecting unit inspects the print image based on the corrected first difference.

Abstract: Some embodiments are directed to an image processing apparatus comprising obtaining a reference image and a verification target image; selecting one or more defect detection processing from a plurality of types of defect detection processing for performing defect detection in the verification target image; executing the selected one or more defect detection processing on a difference image between the reference image and the verification target image in accordance with processing parameters of the selected one or more defect detection processing; and outputting a result display screen in which a defect in the verification target image and a defect detection processing used for detecting the defect can be identified, in a case where the defect is detected.

Abstract: Some embodiments are directed to an image processing apparatus comprising obtaining a reference image and a verification target image; selecting one or more defect detection processing from a plurality of types of defect detection processing for performing defect detection in the verification target image; executing the selected one or more defect detection processing on a difference image between the reference image and the verification target image in accordance with processing parameters of the selected one or more defect detection processing; and outputting a result display screen in which a defect in the verification target image and a defect detection processing used for detecting the defect can be identified, in a case where the defect is detected.

Abstract: There is provided with an information processing apparatus. A first obtaining unit obtains data of a reference image indicating a target of printing output to be performed by a printing apparatus. A second obtaining unit obtains data of an image printed by the printing apparatus. A correcting unit corrects a local image density difference or the reference image based on a global image density difference between the reference image and the printed image. An evaluating unit evaluates quality of the printed image based on the local image density difference between the corrected reference image and the printed image.

Abstract: There is provided with an information processing apparatus. A first obtaining unit obtains data of a reference image indicating a target of printing output to be performed by a printing apparatus. A second obtaining unit obtains data of an image printed by the printing apparatus. A correcting unit corrects a local image density difference or the reference image based on a global image density difference between the reference image and the printed image. An evaluating unit evaluates quality of the printed image based on the local image density difference between the corrected reference image and the printed image.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire reference data and image data representing an inspection target image, the reference data representing a reference image that is a reference printing result, a setting unit configured to set a detection sensitivity for a plurality of defects in a printing result, a correction unit configured to correct a difference image acquired from the reference data and the image data so that a difference in the difference image that is greater than a threshold value is reduced, and a processing unit configured to inspect the inspection target image based on the detection sensitivity and the corrected difference image.

Abstract: Some embodiments are directed to an image processing apparatus comprising obtaining a reference image and a verification target image; selecting one or more defect detection processing from a plurality of types of defect detection processing for performing defect detection in the verification target image; executing the selected one or more defect detection processing on a difference image between the reference image and the verification target image in accordance with processing parameters of the selected one or more defect detection processing; and outputting a result display screen in which a defect in the verification target image and a defect detection processing used for detecting the defect can be identified, in a case where the defect is detected.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire reference data and image data representing an inspection target image, the reference data representing a reference image that is a reference printing result, a setting unit configured to set a detection sensitivity for a plurality of defects in a printing result, a correction unit configured to correct a difference image acquired from the reference data and the image data so that a difference in the difference image that is greater than a threshold value is reduced, and a processing unit configured to inspect the inspection target image based on the detection sensitivity and the corrected difference image.

Abstract: There is provided with an information processing apparatus. A first obtaining unit obtains data of a reference image indicating a target of printing output to be performed by a printing apparatus. A second obtaining unit obtains data of an image printed by the printing apparatus. A correcting unit corrects a local image density difference or the reference image based on a global image density difference between the reference image and the printed image. An evaluating unit evaluates quality of the printed image based on the local image density difference between the corrected reference image and the printed image.

Abstract: An image processing apparatus comprises a first acquisition unit configured to acquire a first image obtained by scanning a first printed material printed based on print data, a second acquisition unit configured to acquire one or more second images obtained by scanning a second printed material printed based on the print data, and a generation unit configured to generate an image obtained from the first image and at least one second images among the one or more second images acquired by the second acquisition unit, as a reference image to be compared with a third image obtained by scanning a third printed material printed based on the print data in order to inspect presence or absence of a defect in the third image.

Abstract: An input chromaticity data calculation unit 113 calculates input chromaticity data rg from device-dependent color data RGB. A chromaticity data transformation unit 114 transforms the input chromaticity data rg into output chromaticity data xy by referring to an LUT stored by an LUT storage unit 13. A total amount calculation unit 115 refers to the LUT of the LUT storage unit 13 to calculate a total amount ??XYZ of the device-independent color data XYZ from the color data RGB. An output color data calculation unit 116 uses the total amount ??XYZ to calculate color data XYZ from the output chromaticity data xy.

Abstract: To decide an efficient tone-conversion characteristic by which it is possible to reduce tone loss while suppressing the occurrence of a visual tone gap, an image processing apparatus that decides a tone-conversion characteristic for converting an M level input image into an N level output image, the apparatus decides a maximum d at which a difference between a luminance value Y(i) corresponding to an ith level of the input image and a luminance value Y(i+d) corresponding to an (i+d)th level does not exceed a given threshold; and sets, based on the d decided by the decision unit, the tone-conversion characteristic so that the ith level and the (i+d)th level of the input image respectively correspond to a jth level and a (j+1)th level of the output image.

Abstract: To decide an efficient tone-conversion characteristic by which it is possible to reduce tone loss while suppressing the occurrence of a visual tone gap, an image processing apparatus that decides a tone-conversion characteristic for converting an M level input image into an N level output image, the apparatus decides a maximum d at which a difference between a luminance value Y(i) corresponding to an ith level of the input image and a luminance value Y(i+d) corresponding to an (i+d)th level does not exceed a given threshold; and sets, based on the d decided by the decision unit, the tone-conversion characteristic so that the ith level and the (i+d)th level of the input image respectively correspond to a jth level and a (j+1)th level of the output image.

Abstract: This invention converts input color data into output color data using a table which has been created based on spectral data generated by an appropriate generation method and indicates the correspondence between an input chromaticity and an output chromaticity. To do this, an input color data acquisition unit converts input color data into input chromaticity data. An output chromaticity data calculating unit converts the input chromaticity data into output chromaticity data by referring to an LUT indicating the correspondence between an input chromaticity and an output chromaticity. An output color data calculating unit converts the output chromaticity data into output color data using a conversion coefficient calculated from the input color data. The table indicating the correspondence is created based on spectral data generated by a generation method different for each of a low chroma color and a high chroma color.

Abstract: An input chromaticity data calculation unit 113 calculates input chromaticity data rg from device-dependent color data RGB. A chromaticity data transformation unit 114 transforms the input chromaticity data rg into output chromaticity data xy by referring to an LUT stored by an LUT storage unit 13. A total amount calculation unit 115 refers to the LUT of the LUT storage unit 13 to calculate a total amount ??XYZ of the device-independent color data XYZ from the color data RGB. An output color data calculation unit 116 uses the total amount ??XYZ to calculate color data XYZ from the output chromaticity data xy.

Abstract: This invention converts input color data into output color data using a table which has been created based on spectral data generated by an appropriate generation method and indicates the correspondence between an input chromaticity and an output chromaticity. To do this, an input color data acquisition unit converts input color data into input chromaticity data. An output chromaticity data calculating unit converts the input chromaticity data into output chromaticity data by referring to an LUT indicating the correspondence between an input chromaticity and an output chromaticity. An output color data calculating unit converts the output chromaticity data into output color data using a conversion coefficient calculated from the input color data. The table indicating the correspondence is created based on spectral data generated by a generation method different for each of a low chroma color and a high chroma color.

Abstract: A plurality sets of tristimulus values are calculated from input spectral data using a plurality sets of color matching functions. Correction coefficients for tristimulus values are calculated based on derivation methods of the plurality sets of color matching functions. Corrected tristimulus values are calculated from the plurality sets of tristimulus values using the correction coefficients.