Seiko Epson Corporation

Tdk Corporation

Fuji Electric Co., Ltd.

Fuji Electric Device Technology Co., Ltd.

Takuya Ono

Yuko Yamamoto

Mitsuhiro Yamashita

Takahiro Kamada

Katsuyuki Tanaka

Ko Ito

Tatsuo Akasaka

Yukio Takahashi

Hiroshi Harada

Kiminori Sato

Takumi Shimomukai

Akira Saito

Takehito Shimatsu

Makoto Fujino

Hiroyuki Yoshimura

Tsuyoshi Yoshizawa

Naoki Hagihara

Shotaro Matsuda

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.

Print medium identification method and print medium identification system

A print image is acquired as first image data represented in a first color space used for forming an image on a first print medium. Second image data is acquired by performing, on the first image data, conversion into representation in a profile connection space using a first conversion table and white point conversion using the information on appearance in a redetermined observation environment, of a base color section where an image is not formed on the first print medium. The second image data is converted by using a second conversion table into converted image data represented in a second color space used for forming an image on a second print medium and an image corresponding to the print image is formed on the second print medium by using the converted image data.

Image processing device and image processing program

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.

Defect discrimination apparatus for printed images and defect discrimination method

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.

Image processing device for previewing image to be printed on 3D object

Provided is an image processing device coupled to a printing device that performs printing on a medium by ejecting ink having a plurality of colors, and configured to convert image data into ink amount data. The image processing device includes: an input unit configured to input a search condition; an acquisition unit configured to acquire a plurality of search values based on the search condition input by the input unit; a table storage unit storing a plurality of image conversion tables for converting the image data into the ink amount data; and a search unit configured to search the plurality of image conversion tables for a target image conversion table based on the plurality of search values acquired by the acquisition unit.

Image processing device, image processing method, and image processing program

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.

Image processing device, printing system, and non-transitory computer-readable storage medium storing image processing program that render three dimensional (3D) object

An image processing device includes: an image data acquisition unit that acquires image data; a print condition acquisition unit that acquires a print condition including a type of a print medium on which an image is printed; a parameter acquisition unit that acquires a texture parameter indicating a texture of the print medium; a color conversion unit that performs color conversion corresponding to the print condition, on the image data; and a rendering unit that executes rendering, causing the image data on which the color conversion is performed, to correspond to at least one of a front face and a back face of a 3D object representing a shape of the print medium, and causing the texture parameter to correspond to the front face and the back face of the 3D object, and thus generates a rendered image representing the print medium with the image printed thereon.

Image processing device, printing system, and non-transitory computer-readable storage medium storing image processing program

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.

Printing method including gradation region ink amount calculation step

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.

Image analyzer determines in-use ink information using image data according to preset conditions and acquires prespecified image quality information when image is printed

An image processing device includes an image input section configured to receive input of an image, a chromatic value acquisition section configured to obtain a chromatic value with respect to each of pixels of the image, an RGB conversion section configured to convert the chromatic value of each of the pixels of the image into an unnormalized linear RGB value expressed by a linear RGB value based on a characteristic of a display which outputs the image, a normalization section configured to divide the unnormalized linear RGB value by a modulus higher than a maximum value of linear RGB values which express displayable colors of the display to thereby generate a normalized linear RGB value when the unnormalized linear RGB value of at least one of the pixels is higher than the maximum value, an outputting RGB conversion section configured to convert the normalized linear RGB value into a display outputting RGB value, and an output section configured to output the display outputting RGB value to the display.

Image processing device and image processing method

The method of generating color sample data includes the step of generating the color sample data for preparing a color sample of a color included in a difference area between a color gamut in an equipment independent color space which is expressed by a first color expression apparatus and a color gamut in the equipment independent color space which is expressed by a second color expression apparatus using an output profile which expresses the color and corresponds to one of the first color expression apparatus and the second color expression apparatus configured to express a color in at least a part of the difference area out of a first output profile representing a correspondence relationship between a coordinate value in an output color space depending on the first color expression apparatus and a coordinate value in the equipment independent color space, and a second output profile representing a correspondence relationship between a coordinate value in an output color space depending on the second color expression apparatus and a coordinate value in the equipment independent color space based on a coordinate value in the difference area.

Method of generating color sample data, method of preparing color sample, and color sample preparation device

A perpendicular magnetic recording medium includes a non-magnetic substrate; and a magnetic recording layer that includes magnetic crystal grains and a non-magnetic crystal grain boundary that surrounds the magnetic crystal grains, wherein the magnetic crystal grains contain an ordered alloy and the non-magnetic crystal grain boundary contains Ge oxides. The magnetic recording layer may have a granular structure. The magnetic crystal grains may be micronized to be sufficiently ordered and separated, and the perpendicular magnetic recording medium may have a high magnetic anisotropy constant Ku and high coercivity Hc.

Perpendicular magnetic recording medium

A recording data generation apparatus is provided that generates recording data in CMYK form including color information related to CMYK values and color information other than the CMYK values based on image data in RGB form including color information related to RGB values and transparency information related to transparency degree.

Apparatus, program, and method for correcting generated recording data based upon transparency information

Included are a display portion that displays image data; a selection portion that allows selection of a partial pixel from amongst the pixels of image data; a color range setting portion that allows setting a color range on the basis of a color of the partial pixel; a determination portion that determines whether or not an image pixel constituting falls within the color range; a determination practice portion that sequentially performs this determination until the pixel adjacent to a determination-completed pixel becomes a pixel not falling within the color range; a pixel designation portion that designates at least one pixel as falling within the color range; a color conversion portion that converts a color of each pixel designated by the pixel designation portion; and a recording data generation portion that generates recording data on the basis of image data resulting from the color conversion.

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Nagano, Japan

Takuya Ono