Abstract: An image processing apparatus sets, when image data expressed in a first color space is converted, using a color conversion profile prepared in advance, into expression in a second color space used in rendering, whether to apply a printing profile including a parameter relating to color development at the time when an image is printed. The image processing apparatus performs color conversion according to the setting of the propriety of the printing profile, generates converted image data, performs, using the converted image data and a necessary parameter, physically-based rendering of a printed printing medium on which the image is printed, and generates a rendering image corresponding to appearance in a virtual space of the printed printing medium. The image processing apparatus displays the rendering image obtained in this way in a form in which a difference in the propriety of the printing profile can be compared.

Abstract: An image processing device includes an image data acquisition section configured to acquire image data of an image to be printed on a print medium; a parameter acquisition section configured to acquire parameters for performing physical based rendering of the print medium on which the image is to be printed as a 3D object, the parameters including a normal line map representing a normal line direction of an irregularities surface of the print medium related to a reflection direction of light incident on the print medium; a correction section configured to correct strength of an application effect of the normal line map corresponded with the 3D object; and a rendering execution section for generating a rendering image representing the print medium on which the image is printed by executing the physical based rendering using the image data and the parameters.

Abstract: An image processing device converts image data, which is data of an image expressed in a first color space, into an expression in a second color space used in rendering by using a color conversion profile prepared in advance, generates a converted image data, and generates a rendering image corresponding to the appearance of the printed-on print medium in a virtual space by performing physical based rendering of the printed-on print medium on which the image has been printed, using the converted image date and parameters necessary for performing physical based rendering of the print medium as a 3D object.

Abstract: [Problem] To provide a rotor unit that may effectively prevent detachment of a magnet with a holder while absorbing dimensional errors of a rotor main body and the magnet. [Solution] In the rotor unit according to the present invention, the holder mountable on the rotor main body prevents the magnet from being detached from the rotor main body. The holder includes an elastically deformable insertion arm extending from a flat-plate like holder main body, a hook portion provided on a free end side of the insertion arm, an elastically deformable magnet pressing arm extending from the holder main body, and a magnet pressing portion provided on a free end side of the magnet pressing arm. The rotor main body includes a hook hole into which the insertion arm is inserted, and the hook hole is provided with a locking portion in which the hook portion is lockable.

Abstract: A printing method includes: a color space conversion step; a gradation determination step of determining whether a pixel group forms a gradation; and a gradation region ink amount calculation step of calculating an ink amount of the pixel group determined to form the gradation. The gradation region ink amount calculation step includes an array information acquisition step of acquiring whether pixel values are arranged linearly, in a planar manner, or in a polyhedron manner in a uniform color space, a grating color value calculation step of determining a grating color value which is a color value of a grating point in the array, a grating ink amount calculation step of calculating, using the determined grating color value, a grating ink amount which is an ink amount of the grating point in the array, and an interpolation calculation step of calculating an ink amount of the pixel group determined to form the gradation by interpolation using the calculated grating ink amount.

Abstract: An image analyzer includes an in-use ink information determination section that determines an ink type to be used for printing and an ink quantity to be used for printing for the ink type as in-use ink information by using image data in accordance with conditions set in advance, a printed image quality information acquisition section that acquires at least one item of printed image quality information on image quality specified in advance and provided when the image data is printed by using the determined in-use ink information, and a display section that displays at least one of the in-use ink information and the printed image quality information.

Abstract: A profile creation device that causes a display section to display a display screen displaying an input color space image and an output color space image, the profile creation device includes an acquisition section that acquires first color gamut data indicating a color space related to the input device and second color gamut data indicating a color space related to the output device, an image generating section configured to generate an input color space image of a three dimensional image based on the first color gamut data and an output color space image of a three dimensional image based on the second color gamut data, a display control section configured to generate screen data for displaying the display screen having an image display area for displaying the input color space image and the output color space image generated by the image generating section, and an input and output section for transmitting the screen data generated by the display control section to the display section.

Abstract: A printing method includes: a color space conversion step; a gradation determination step of determining whether a pixel group forms a gradation; and a gradation region ink amount calculation step of calculating an ink amount of the pixel group determined to form the gradation. The gradation region ink amount calculation step includes an array information acquisition step of acquiring whether pixel values are arranged linearly, in a planar manner, or in a polyhedron manner in a uniform color space, a grating color value calculation step of determining a grating color value which is a color value of a grating point in the array, a grating ink amount calculation step of calculating, using the determined grating color value, a grating ink amount which is an ink amount of the grating point in the array, and an interpolation calculation step of calculating an ink amount of the pixel group determined to form the gradation by interpolation using the calculated grating ink amount.

Abstract: An image analyzer includes an in-use ink information determination section that determines an ink type to be used for printing and an ink quantity to be used for printing for the ink type as in-use ink information by using image data in accordance with conditions set in advance, a printed image quality information acquisition section that acquires at least one item of printed image quality information on image quality specified in advance and provided when the image data is printed by using the determined in-use ink information, and a display section that displays at least one of the in-use ink information and the printed image quality information.

Abstract: A defect discrimination device for printed image includes an inspection image acquisition section configured to acquire an inspection image by imaging a print medium on which an image is printed, the image corresponding to a reference image that becomes a reference of an image in which a defect is to be detected; a defect detection section configured to detect a state of the defect, the state including a defect type of the defect included in the printed inspection image; and a display section configured to display a display image corresponding to the inspection image, and an inspection result display section configured to display the detected defect together with the defect type of the defect, in a display mode according to the state of the defect.

Abstract: Prepare a learning model that has been trained to output similarity for each defect species by machine learning using a teacher image that is an image containing a defect occurring during printing and that is associated with a defect species in advance. Then, a target image is prepared for inspection by acquiring an image of printed matter that has been printed. By using the learning model with respect to this target image, the similarity of the defect present in the target image to a known defect species is acquired, and this similarity is used to discriminate the defect present in the target image as at least one of the known defect species. When updating the learning model based on this discrimination result, the learning model is made to perform machine learning for a defect species that is different from the discriminated defect species or that is associated with an unknown defect.

Abstract: The print medium identification method includes (a) a step of obtaining first physical property information about a print medium, (b) a step of obtaining second physical property information which is different from the first physical property information about the print medium, (c) a step of obtaining first discrimination information for discriminating a type of print medium by inputting the first physical property information to a first discriminator, (d) a step of obtaining second discrimination information for discriminating the type of print medium by inputting second physical property information to a second discriminator, and (e) a step of identifying the type of print medium by using the first discrimination information and the second discrimination information.

Abstract: An print medium specification method includes (a) step for acquiring first physical property information related to the print medium; (b) step for acquiring second physical property information different from the first physical property information related to the print medium; (c) step for acquiring a discrimination information for discriminating the type of the print medium by inputting the first physical property information to a discrimination function configured as a learned machine learning model; and (d) step for specify a type of the print medium using the discrimination information and the second physical property information not used for machine learning.

Abstract: A profile creation device that causes a display section to display a display screen displaying an input color space image and an output color space image, the profile creation device includes an acquisition section that acquires first color gamut data indicating a color space related to the input device and second color gamut data indicating a color space related to the output device, an image generating section configured to generate an input color space image of a three dimensional image based on the first color gamut data and an output color space image of a three dimensional image based on the second color gamut data, a display control section configured to generate screen data for displaying the display screen having an image display area for displaying the input color space image and the output color space image generated by the image generating section, and an input and output section for transmitting the screen data generated by the display control section to the display section.

Abstract: For a plurality of types of print media, a pre-trained model is prepared, the pre-trained model being generated by machine learning based on spectroscopic information of an unprinted area on the print medium and an identifier indicating the type of the print medium and using the identifier as a trainer. The spectroscopic information of the unprinted area on the print medium to print on is acquired. The acquired spectroscopic information is applied to the pre-trained model. Using a result thereof, auxiliary information about the type of the print medium is outputted. A specification of the type of the print medium using the outputted auxiliary information is accepted. When the type of the print medium is thus specified, printing is performed using a print condition suitable for the print medium.

Abstract: A printing condition setting method is a printing condition setting method of setting printing conditions in a printing apparatus, including a learning step of performing machine learning by using ink physical characteristics and ink type information, a similarity score calculation step of calculating a similarity score indicating a similarity of a use ink used for printing in the printing apparatus with respect to a learned ink learned in the learning step, and a printing condition setting step of setting the printing conditions according to the use ink based on the similarity score.

Abstract: An image processing method includes: converting a device color CMYK1 that is an input device color depending on an input device into a device color CMYK2 that is an output device color depending on an output device; converting the device color CMYK2 into a spectral reflectance R1 using an output profile showing a relationship between the output device color and a spectral reflectance; converting the spectral reflectance R1 into a spectral reflectance R2, to be reproduced before lamination processing, using a mutual conversion formula of a spectral reflectance before lamination processing and a spectral reflectance after lamination processing; and calculating a device color CMYK3 that is an output device color using the spectral reflectance R2, the output profile, and light source information.

Abstract: A printing device includes: an ink system having a plurality of types of inks; an image input unit accepting an input of an image to be printed; a print condition selection unit accepting a selection of N types of print conditions used when printing the image, N being an integer equal to or greater than 2; an application rate input unit accepting an input of an application rate of each of the N types of print conditions that are selected; a first ink amount calculation unit calculating an expected amount of ink of each of the plurality of types of inks used when it is assumed that the image is printed using singly each of the N types of print conditions that are selected; a second ink amount calculation unit calculating an actual amount of ink used when printing the image, using the expected amount of ink corresponding to each of the N types of print conditions and the application rates of the N types of print conditions; and a printing unit executing printing of the image according to the actual amount of in

Abstract: A print condition setting method for setting a print condition in a printer includes: an ink type learning step of executing machine learning of an ink type discriminator using physical property information of ink and an ink type identifier; a medium type learning step of executing machine learning of a medium type discriminator using characteristic information of a medium and medium type identification information; and a print condition setting step of setting the print condition according to an ink type discriminated by the ink type discriminator and a medium type discriminated by the medium type discriminator.

Abstract: The parking lot area is estimated based on the information acquired by driving vehicles. The information processing device acquires position information including a parking position from a movable body, and estimates parking lot information related to a parking lot existing in an out-of-road area based on the position information of plural movable bodies entered the out-of-road area. By analyzing movements and/or parking positions of the movable bodies in the out-of-road area, information related to the parking lot can be estimated.