A method for processing an object for printing, the object comprising a plurality of properties defined at each of a plurality of locations within the object, each property represented by a metamer set of possible combinations of proportions of at least one of a set of printing materials, the method comprising: selecting a combination of the metamer sets of a given location within an object that provides all of the plurality of properties defined for the given location.

In this method, a surface of a digital master of the printed product is subdivided into a plurality of areas based on at least a first area of the printed product being printed having a first set of color-affecting printing characteristics and at least a second area of the printed product having a second set of color-affecting printing characteristics. Each of the plurality of areas are assigned a printing press color profile or device link, and the colors from colorspaces corresponding to each set of color-affective printing characteristics are converted to a colorspace of the proofing device. This conversion is accomplished by determining, for each pixel, one of the plurality of areas of the digital master surface that the pixel belongs to, selecting the color profile or the device link profile, converting the values to proof colorant values, and assigning the proof colorant values to the proof.

A controller 60 of an image reading device acquires a scanned image by reading a document, and identifies in the scanned image a fluorescent color area containing specific pixels, which are pixels having a pixel value greater than the white reference value. An image processor 40 generates output information including an output image based on the acquired scanned image, and information identifying a fluorescent color area.

A controller 60 of an image reading device 1 acquires a scanned image by reading a document. An image processor 30 generates an output image by applying to the acquired scanned image different image processes based on whether or not specific pixels, which are pixels with a pixel value greater than a white reference value, are contained in the scanned image.

An information processing apparatus includes: circuitry that converts: a total-amount restriction value that is input into a value corresponding to a gradation value; for each of colors of color materials included in an image forming apparatus, convert a gradation value of color information into a value of a color material amount normalized using a gradation value of the color of the color information; perform total-amount restriction on the normalized and converted value of the color material amount of the each of the colors based on the converted value corresponding to the gradation value; and convert the value of the color material amount of the each of the colors after the total-amount restriction into the gradation value of the each of the colors.

Systems and methods for enhancing an image for printing include identifying a plurality of true edge positions in a scanned digital image, generating an edge restoration signal based on image data at the plurality of true edge positions, generating a boost value for each pixel position in the image as a function of the edge restoration signal and an unsharp masking of the image, and generating an enhanced image. A system may include a print interface, an image interface receiving a digital image without an explicit K component, and an image processing module that computes a halftone energy measure, an edge strength, and a colorfulness measure, generate a K component based on the halftone energy measure, the edge strength, and the colorfulness measure, and output data representing the image and a K component to the print engine.

The present disclosure relates to a color vector conversion method and device suitable for a display device. The method includes determining a three-dimensional vector of a first intersection point according to the three-dimensional vector of the to-be-converted point and a three-dimensional vector of a reference point. The method includes determining a three-dimensional vector of a second intersection point according to the three-dimensional vector of the first intersection point and a three-dimensional vector of a first vertex. The method includes converting the three-dimensional vector of the second intersection point to an N-dimensional vector according to N-dimensional vectors of two endpoints located on the first side. The method includes determining an N-dimensional vector of the first intersection point according to the N-dimensional vector of the second intersection point. The method includes determining an N-dimensional vector of the to-be-converted point according to the N-dimensional vector of the first intersection point.

An example system in accordance with an aspect of the present disclosure includes a halftone engine and a gray value engine. The halftone engine is to apply halftoning to an image recursively across a plurality of levels of image scales and spatial resolutions, to generate a pattern that is at least quasi-periodic across the plurality of levels. The gray value engine is to substitute gray values recursively for at least a portion of the halftoning.

Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

An image capturing unit captures an image including an embedded image that is printed on the basis of image data in which at least a color component has been modulated according to additional information. An adjustment unit adjusts a white balance of the image captured by the image capturing unit on the basis of an adjustment value associated with the embedded image. A processing unit processes image data of the image captured by the image capturing unit whose white balance has been adjusted by the adjustment unit to read the additional information in the image captured by the image capturing unit.