Color values as a function of position within a painting may be determined by acquiring a plurality of sets of images of the painting. Each set of images may correspond to a different region within the painting. Each image in a set of images may be acquired using a different lighting condition. An optical system comprising a telecentric lens may be used to acquire each image. Within a set of images, corresponding lightness values of pixels may be compared. Lightness values varying from other corresponding lightness values more than a threshold amount may be eliminated. The non-eliminated lightness values for a pixel may be used to generate a processed value for the pixel. The processed values for each pixel representing an imaged region may be combined into a single image. Eliminating lightness values may remove specular highlights and/or shadows. Each of the single images corresponding to each set of images may be registered together to generate a color map image of the painting. The generated color map image may be used to correct color data collected by laser scanning the painting. A 3D printer may, for example, use the corrected laser color data in combination with an elevation map of the painting to produce a faithful reproduction of the painting.

The invention relates to an embedded system for printing on colored background based on automatic generation of white underbase including printing ink separations. The system comprising: an embedded apparatus for receiving input data respecting an image printable on the colored background. The image constitutes a color or a grayscale containing transparency information. The apparatus processes the input data and outputs white underbase information including printing ink separation; a dual-acting device capable of acting in a first aspect as a plate making or film generating means in respect of offline printing, and in a second aspect acting as a print controller in respect of online printing. The system also includes a printing device, which can be an offset printing device, a screen printing device, a hybrid printing device when offline printing being adapted; and/or, an inkjet printer, a laser printer or a toner-based printer when online printing being resorted.

A target area of image data of a scanned document is set, in which the target area has a predetermined size and a target pixel, characteristic amounts indicating the brightness at two pixels among the plurality of pixels included in the set target area are obtained, a determination is made on whether or not the difference between the obtained characteristic amounts indicating the brightness is higher than a threshold, a brightness correction amount is decided based on a characteristic amount indicating the brightness of the target pixel and the result of the determination, and the brightness characteristic amount indicating the brightness of the target pixel is corrected based on the decided correction amount.

An apparatus captures an image of an ID tag displaying printed ID information specific to a patient to acquire an ID-tag image, and acquires a color correction value from the ID-tag image. The color correction value is used to correct an image to be captured. The apparatus corrects a captured image of an affected area by using the color correction value.

An image forming apparatus includes a print engine, a sheet transportation unit, an optical sensor, and an image processing unit. The print engine is configured to physically print an image to be printed on a print sheet. The sheet transportation unit is configured to transport the print sheet along a predetermined transportation path. The optical sensor is arranged so as to face the transportation path, and configured to detect a color of a test chart on a colored print sheet transported along the transportation path. The image processing unit is configured to perform color correction of the image to be printed on the colored print sheet, on the basis of the detected color of the test chart on the colored print sheet so as to restrain color change of the image due to a surface color of the colored print sheet.

An information processing apparatus configured to store a machine-learned model that learned, by machine learning, a relationship between a type of a printing medium, an amount of a coloring material on the printing medium per unit area, and an image including a linear image and printed on the printing medium; and estimate, based on a selection information and a imaging information, by using the machine-learned model, a limit value indicating a maximum value or a minimum value of an amount of the coloring material to be used for printing on the printing medium by the printing section per unit area; and create, by using the limit value, a color conversion profile including information regarding mapping between a coordinate value in a color space and an amount of the coloring material.

An image forming apparatus includes: a text extractor that analyses an image of an original document read by an image reading device and extracts a text in the original document and location information on the text in association with each other; an acquirer that acquires correspondence information in which a keyword and specification information are associated with each other; a searcher that searches the text in the original document for a target term matching the keyword; an identifier that identifies a location of the target term within the image of the original document from the location information on the text extracted by the text extractor; and an image data generator that generates image data in which an image in a mode of presentation specified by the specification information in the correspondence information acquired by the acquirer is synthesized on the location of the target term identified by the identifier.

An information processing apparatus configured to store a machine-learned model that learned, by machine learning, a relationship between a type of a printing medium, an amount of a coloring material on the printing medium per unit area, and an image including a gradation image and printed on the printing medium; and estimate, based on a selection information and a imaging information, by using the machine-learned model, a limit value indicating a maximum value or a minimum value of an amount of the coloring material to be used for printing on the printing medium by the printing section per unit area; and create, by using the limit value, a color conversion profile including information regarding mapping between a coordinate value in a color space and an amount of the coloring material.

An information processing apparatus storing a machine-learned model that learned, by machine learning, a relationship between a type of a printing medium, an amount of a coloring material on the printing medium per unit area, and an image printed on the printing medium; and estimating, based on a selection information and a imaging information, by using the machine-learned model a limit value indicating a maximum value or a minimum value of an amount of the coloring material to be used in printing on the printing medium by the printing section per unit area; and creating, by using the limit value, a color conversion profile including information regarding mapping between a coordinate value in a color space and an amount of the coloring material.

In some examples, a system may include a thermal print head including a plurality of print head elements to heat a print medium. The system may include a controller to determine a tri-color tuple of a pixel of an image to be printed; determine an input temperature at a specific print head element, of the plurality of print head element s, printing the pixel on thermal print medium; and determine a voltage pulse pattern for printing the tri-color tuple at the input temperature based on a previously printed pixel.