Canon Kabushiki Kaisha

Kazuya Ogasawara

Masao Kato

Kouta Murasawa

Takayuki Yamada

Shinjiro Hori

Okinori Tsuchiya

Yugo Mochizuki

Toshiki Miyazaki

Tatsuhiro Yamagata

Akitoshi Yamada

Hiroyasu Kunieda

Hideki Kubo

Takeru Sasaki

Yoshitaka Minami

Fumitaka Goto

Shinichi Miyazaki

Yuki Omagari

Yoshinori Mizoguchi

Kazuya Onuki

An image processing apparatus comprises: an acquiring unit configured to acquire image data generated by reading an original; a specifying unit configured to specify an object region including a predetermined object in the image data; a removing unit configured to remove, from the object region, noise with a size smaller than a size specified by a first threshold; and a setting unit configured to set the first threshold, for each object region specified by the specifying unit, in accordance with the size of the object region.

Image processing apparatus, image processing method, and non-transitory computer-readable storage medium storing program comprising acquiring an image generated by reading an original, and removing noise from an object region with a size smaller than a size specified in a first threshold

An image processing apparatus includes an analysis unit configured to analyze each image included in a first image group and a second image group, to output feature amounts, a first selection unit configured to select a type of feature amount to be used, based on the second image group, from among the feature amounts that are output by the analysis unit, a determination unit configured to determine a score reference that gives a score to an image, based on a feature amount of the selected type out of feature amounts of the second image group, a scoring unit configured to perform scoring of the first image group, based on the score reference and feature amounts of the first image group, and a second selection unit configured to select an image from the first image group, based on the score obtained by the scoring.

Image processing apparatus, image processing method, and storage medium that estimate concepts to select a type of feature amount based on the estimated concepts and determine a weight of the selected type

An image processing apparatus includes first and second designation units designating first and second image groups, an analysis unit analyzing images included in the first and second image groups, a determination unit determining a reference, based on an analysis result of the second image group, and a selection unit selecting a first image group image, based on the reference and an analysis result of the first image group. As the reference, the determination unit determines a score reference that gives a score to an image. A scoring unit scores the first image group, based on the score reference and the first image group analysis result. The selection unit selects an image from the first image group, based on an obtained score. The determination unit determines the score reference that uses at least one of an average value and a median value of the analysis result of the second image group.

Image processing apparatus, image processing method, and storage medium that select an image from an image group based on an obtained score

An information processing apparatus includes at least one processor, and a memory that stores a program which, when executed by the at least one processor, causes the at least one processor to function as an acceptance unit configured to accept from a user a target impression of a poster image to be created, and a creation unit configured to create the poster image based on the target impression.

Information processing apparatus, control method therefor, and storage medium

Dot data for a boundary zone between metallic ink and color ink is changed to increase a time difference between a scan for applying the metallic ink and a scan for applying the color ink. With this change, a fusion time of the metallic ink is ensured, and the occurrence of an image defect is suppressed.

Image printing apparatus for suppressing a reduction in image quality at a boundary between a region where metallic ink is applied and a region where color ink is applied

A first designation unit configured to designate a first image group, a second designation unit configured to designate a second image group, an analysis unit configured to analyze an image included in the second image group, a determination unit configured to determine a reference for selecting an image from the first image group, based on a result of analyzing the image included in the second image group, a selection unit configured to select a third image group from the first image group, based on the reference, and a changing unit configured to accept a change in a parameter that is obtained from the third image group selected by the selection unit are included and to produce a changed parameter. The selection unit is configured to select an image from the first image group by use of the changed parameter.

Image processing apparatus, image processing method, and storage medium

An image processing apparatus includes a setting unit configured to set a target region, a first acquisition unit configured to acquire a plurality of texture data for applying a metal representation on an image, a second acquisition unit configured to acquire an output condition when outputting the target region, a selection unit configured to select texture data based on the output condition, and an application unit configured to apply, to the target region, the texture data selected by the selection unit.

Image processing apparatus, image processing method, and non-transitory computer-readable storage medium

An image processing method of holding a plurality of texture data for applying a metal representation on an image. The method includes acquiring predetermined information concerning at least one of an observation distance as a distance between a print product on which a target region is printed and an observer observing the print product, a sheet on which the target region is printed, or an environment in which the print product is observed, selecting texture data from the plurality of texture data based on the acquired predetermined information, and applying, to the target region, the texture data selected in the selecting.

Image processing method and image processing apparatus that apply selected texture data to a target region

An image processing apparatus performs predetermined image processing for read data obtained by reading an image on a document by first and second reading sensors arranged so as to have an overlapping area. The predetermined image processing includes color correction processing of converting color signals detected by light receiving elements of the reading sensors into color signals with respect to each of pixels forming read data. Color correction processing for first read data obtained from light receiving elements of the first reading sensor not included in the overlapping area and color correction processing for second read data obtained from light receiving elements of the second reading sensor not included in the overlapping area are performed in accordance with different correction characteristics. By doing this, an image in which image unevenness caused by individual differences of the short reading sensors is reduced can be output.

Image processing apparatus and image processing method

An object is to reduce a difference between a target line width and a width of a line that is printed by a printing apparatus by correcting the line width in accordance with color information indicating a color of the line in a case where an image is printed by the printing apparatus based on image data including the line based on print data. The present disclosure is an image processing apparatus having an acquisition unit configured to acquire a drawing command in which a color and a line width of a line are specified, a determination unit configured to determine a correction amount for correcting the line width specified in the drawing command based on the color of the line specified in the drawing command, and a correction unit configured to correct the line width specified in the drawing command in accordance with the correction amount.

Image processing apparatus, image processing method and storage medium, with correction amount for correcting line width in accordance with color of line

An information processing apparatus processes image information printed by a printing apparatus. The information processing apparatus includes a data obtaining unit to obtain print data for printing a line-width detection image including first multiple patches. Each of the first multiple patches includes multiple lines at substantially equal intervals in a first direction, each line having a first width in the first direction and extending in a second direction intersecting the first. The first multiple patches include first and second patches. A first substantially equal interval between a first plurality of lines in the first patch differs from a second substantially equal interval between a second plurality of lines in the second. An information obtaining unit obtains information on a print result of the printed line-width detection image. A correction unit corrects widths of lines in the first direction included in an image to be printed based on the obtained information.

Information processing apparatus, printing system, printing method, and storage medium that correct widths of lines in a first direction included in a print image based on a print result of a line width detection image

A width in a first direction of a line in image data corresponding to an image to be printed by a printing apparatus is corrected, based on information on a print result of line-width detection images printed based on line-width detection image data in a raster format that is generated by performing rasterization processing on line-width detection image data in a vector format. In the line-width detection image data in the vector format, a distance between centers of the widths in the first direction of two lines adjacent in the first direction in each line-width detection image is an integral multiple of a rasterization resolution in the rasterization processing.

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Yokohama, Japan

Kazuya Ogasawara