Abstract: A method and system for cost effective, convenient remote color reproduction and matching that can be used to convey color to observers remote to the physical source of color. Such remote observers can include product consumers wishing to view a product color, for example. In a preferred embodiment, the method comprises capture of article or product reflectance spectra and the use of this spectrum to filter ambient light or directed light in the environment of a remote user. Other embodiments of methods include various techniques to capture product spectral information and color matching functions useful for color reproduction using colored light sources. Additional systems embodiments include devices exploiting multiprimary displays to render the product color in avoidance of metamerism.

Abstract: Provided is a method for generating a freehand sketch of a 3D model for machine learning, which is executed by one or more processors, in which a method for generating freehand sketch data for machine learning includes receiving a 3D model of a target object, and generating a plurality of different freehand sketch images for the target object based on the 3D model.

Abstract: In a method and a device for determining faulty print nozzles of a printing device, a plurality of print nozzles of at least one primary color are activated so that they print dots of a test image onto a recording medium, said dots forming lines as viewed in the printing direction, in a plurality of line rows that are successive as viewed in the printing direction and travel in the line direction. The lines of successive line rows are displaced counter to one another in the line direction, and the lines of each line row have a predetermined constant pitch from one another in the line direction. Furthermore, using an image detector, the printed test image is detected per pixel and image data are provided, wherein an image pattern processing implements a homogenization of the image data via filtering, evaluates the homogenized image data, and determines defective image regions.

Abstract: Provided is an image processing apparatus for extracting embedded information from a printed document printed by an electrophotographic method, including: a first obtaining unit configured to obtain first image data by reading the printed document while applying light to the printed document; a second obtaining unit configured to obtain second image data by reading the printed document without applying light to the printed document; a determination unit configured to determine whether a high color density region of which density is higher than a predetermined value is present in the printed document; and a decision unit configured to decide which of the first image data and the second image data to set as image data to be used to extract the embedded information, according to the determination made by the determination unit.

Abstract: A printing system includes a printing unit configured to print an image on a sheet, a receiving unit configured to receive an adjustment value from a user, first and second adjustment units, and a control unit. The first adjustment unit conveys the sheet on which the image is printed by the printing unit to a reading apparatus, and performs a first adjustment based on an image read by the reading apparatus. The second adjustment unit performs a second adjustment based on the adjustment value received by the receiving unit. The control unit prevents the first adjustment from being performed for a sheet of a size where the first adjustment is not properly performed among sheets for the printing unit to print an image on. The control unit does not prevent the second adjustment from being performed for the sheet of the size where the first adjustment is not properly performed.

Abstract: Systems and methods for displaying super saturated color. Image data for display on a display or viewing device with a potential white luminance in a standard system with a maximum luminance is processed such that colors near the white point are reduced to a limited luminance. As the chroma of the displayed color is increased, a luminance attenuation is decreased. The scaling of the reduction is operable to be a linear function, a non-linear function, or any other function.

Abstract: Disclosed is a QR code extension method, comprising the following steps: S1. obtaining data encoding information, and determining the number of positioning points based on a data encoding length; S2. partitioning a data area according to different shapes, and adjusting a parameter of each data partition by adjusting the number of transverse and/or longitudinal unit QR codes; and S3, drawing a QR code, and outputting a result. The method is more flexible, and can make a QR code realize one-way or two-way extension, and the length and the width of a data area can be slightly adjusted to ensure that the capacity of the data area is close to the size of data information, so that capacity in per unit space is optimized.

Abstract: A printing apparatus causes a printer engine to print first tone correction patches of a first color on a first sheet and to print second tone correction patches of a second color being different from the first color on a second sheet, generate correction information based on a color measurement result of the first tone correction patches and the second tone correction patches printed on the first sheet and the second sheet, respectively, as measured by a sensor, and correct image data using the correction information. In the generation of the correction information, in a case where there are more than a predetermined number of sheets of a size being different from a predetermined size between the first sheet and the second sheet, the correction information using the color measurement result of the first tone correction patches and the second tone correction patches is not generated.

Abstract: A method for reproducing an out-of-gamut spot color includes determining a color gamut for a color printer, and specifying a spot color by color coordinates in a three-dimensional color space. A first target color is determined corresponding to a color having a minimum color difference to the specified spot color, and a second target color is determined corresponding to a color on the color gamut surface having a hue value equal to a hue value of the specified spot color. A path is defined on the color gamut surface connecting the first target color and the second target color, wherein a control parameter is used to specify a relative position along the defined path. A user interface is provided enabling a user to adjust the control parameter to specify an aim color.

Abstract: The present disclosure relates generally to data hiding for retail product packaging and other printed objects such as substrates. One embodiment embeds an information signal in a spot color for printing on various substrates. The spot color is screened, and overprinted with process color tint. The tint is modulated prior to overprinting with optimized signal tweaks. The optimization can include consideration of a detector spectral dependency (e.g., red and/or green illumination). Many other embodiments and combinations are described in the subject patent document.

Abstract: The present information processing apparatus externally receives print data and a print quality criterion as a print job, analyzes the received print data, and extracts an object for which a print quality criterion can be designated. The information processing apparatus also analyzes the received print quality criterion and, based on a result of the analysis, determines whether or not a print quality criterion corresponding to the extracted object is designated in the received print quality criterion. The information processing apparatus also performs a predetermined notification if a print quality criterion corresponding to at least one extracted object is not designated in the received print quality criterion as a result of the determination.

Abstract: An information processing apparatus includes at least one memory that stores instructions, and at least one processor that causes, by performing the instructions, the information processing apparatus to receive, via a network from an order-receiving system, received-order data including quality request data, interpret the received quality request data, generate a job including information used in quality adjustment to be performed by a production system, based on the interpretation result, and enter the job into the production system. The job including quality request data of a data format is generated, where the data format is different from a data format of the received quality request data and is according to the production system.

Abstract: A method of splitting an image into a white layer and a color layer, comprising: providing an electronic application; receiving and loading, by the electronic application, an image file; the image file comprises a C color plane, a M color plane, a Y color plane, a K color plane, and a W color plane; splitting the image file to create a white layer and a color layer; erasing the K color plane; generating a CMY color plane; outputting the CMY color plane to a first storage location, to generate the color layer; copying, in the electronic application, the W color plane into the K color plane; erasing the C color plane, the M color plane, and the Y color plane to generate a W to K color plane; and outputting the W to K color plane to a second storage location, to generate the white layer.

Abstract: The exemplary embodiments relate to converting Standard Dynamic Range (SDR) content to High Dynamic Range (HDR) content using a machine learning system. In some embodiments, the neural network is trained to convert an input SDR image into an HDR image using the encoded representation of a training SDR image and a training HDR image. In other embodiments, the neural network is trained to convert an input SDR image into an HDR image using a predefined set of color grading actions and the training images.

Abstract: An image forming apparatus includes a communication portion arranged inside a cover covering an image forming portion in the main body of the apparatus and including an antenna surface for use in establishing near field communication. The cover includes a stacking portion in its upper section. The stacking portion is configured to receive a recording medium with an image thereon, the recording medium being discharged outside the main body of the apparatus. The antenna surface faces a region of the upper section of the cover downstream in a direction of discharging the recording medium. The antenna surface at least partially faces a region of the upper section of the cover outside the stacking portion in a direction perpendicular to the direction of discharging the recording medium. The communication portion is capable of communicating with another communication portion using near field communication.

Abstract: Provided is a technique capable of preventing generation of an output result that is not intended by a user. A notification unit is included which gives a notification regarding a color of at least one of a spot color object or a non-spot color object having color information matching spot-color color information of the spot color object in a case where the spot color object and the non-spot color object are present in a predetermined display region as a result of editing by an editing unit.

Abstract: An image detection method and apparatus, an electronic device and a storage medium are provided, which relate to the fields of artificial intelligence, deep learning and image processing. The image detection method comprises: performing an acquisition processing on a to-be-detected imaging image to obtain an acquired image; extracting feature data of a target object in the acquired image through a preset image detection network in response to detection processing; performing a multi-dimensional detection comprising at least an imaging content indicator and a color bar indicator on the feature data of the target object according to the image detection network to obtain a detection result; wherein the target object includes imaging contents and color bars which are used to describe color information related to the imaging contents.

Abstract: A sensor configuration method, an apparatus, computer equipment and a storage medium are disclosed. The method includes acquiring connection configuration information generated based on user input, querying for a target sensor driver matched with a target sensor represented by the sensor identifier in a device driver set, calling a target communication port driver matched with the target communication port represented by the communication port identifier and establishing communications with the target sensor by the target sensor driver and the target communication port driver. The connection configuration information includes a sensor identifier and a communication port identifier. The device driver set is pre-stored with a number of sensor drivers corresponding to a number of sensors.

Abstract: An image forming system includes an image forming unit for forming an image on a recording medium, a varnish applying unit for applying varnish to the image on the recording medium, and a control unit for controlling the image forming unit to form a first image and a second image and for controlling the varnish applying unit to apply varnish to the first image and the second image such that a first varnish application amount applied to the first image by the varnish applying unit is different from a second varnish application amount applied to the second image by the varnish applying unit.

Abstract: Ink saturation for a print job varies according to prioritized elements identified within a given document or print job. Elements are prioritized according to pre-defined values according to document type and identified elements within the document type. High priority elements of a document are assigned greater ink saturation than lower priority elements of the same document. Automated prioritization is made possible by a crowd-sourced knowledge corpus including pre-defined document types and corresponding elements of the documents. Historic configurations accepted by a user drive a learning process using a feedback loop for refined decision-making as print jobs are submitted for printing.

Abstract: An image forming apparatus includes an image forming unit configured to form an image on a sheet; an image processing unit configured to perform processing, which comprises correction of color misregistration, on image data for controlling the image forming unit to form the image; and a controller configured to instruct the image forming unit to perform calibration in a case where a component of the image forming unit is replaced. The image forming unit includes a storage unit, and is configured to acquire correction information to be used for the correction of color misregistration in the calibration to store the correction information in the storage unit, and the image processing unit includes a memory configured to store first image data, which is the image data before being processed, and second image data, which is obtained by compressing the image data after being processed.

Abstract: An electronic device and a document processing system both with cost saving function are disclosed. The electronic device performs a blank page counting process on a received first document file data containing blank pages, in order to generate cost information of non-blank pages and display it for reference. With the above electronic device, it is able to save the cost of outputting blank pages and avoid waste of paper to achieve the purpose of cost saving. The document processing system includes the above electronic device, which is connected to the document processing system via a network.

Abstract: An information processing apparatus includes a processor configured to, in a case where a first color material, a second color material, a third color material, and a fourth color material in which a difference between the first color material and the fourth color material in a color space is less than a threshold value, are capable of being used, output combinations of values of color materials reproducing a first color, which is used for expanding a color gamut of a secondary color of the first color material and the second color material, and a second color, which is used for expanding a color gamut of a secondary color of the first color material and the third color material.

Abstract: Apparatus is described that comprises a printer carriage (100), comprising a printhead (105), at least one sensor (101, 102) for scanning an image deposited on a print media by the printhead (105) and a spectrophotometer (104) connected to the at least one sensor (101, 102) for generating data based on a reference image (120) on a test print media (110). The sensor (101, 102) is calibrated based on the generated data to detect a specific ICC profile, and wherein, in use, the sensor (101, 102) scans and digitizes an image of a final print media as the image is being printed on the final print media; and wherein the sensor (101, 102) is connected to a controller (106) that performs image quality analysis of the digitized image to determine whether colour deviation has occurred.

Abstract: An image processing apparatus includes: an acquisition unit configured to acquire a plurality of first color values in a device independent color space, from information defining a predetermined gamut; a setting unit configured to set predetermined first dot percentages of a fluorescent color for the plurality of first color values acquired by the acquisition unit; a calculation unit configured to calculate a second dot percentage of the fluorescent color, based on a relationship between the plurality of first color values and the first dot percentages, the second dot percentage corresponding to an arbitrary second color value in the color space; and a generation unit configured to generate a first profile to convert the second color value to dot percentages of a process color and the fluorescent color, based on the second color value and the second dot percentage calculated by the calculation unit.

Abstract: An operating method of an image forming apparatus includes: receiving an input to select a selective eco mode which selectively applies an eco mode during an image forming job of a document; obtaining at least one area to be excluded from application of the eco mode from a preview of the document according to execution of the selective eco mode; generating a mask in which an area corresponding to at least one area of the document is set in an array corresponding to a preview image of the document, based on information about the at least one area of the document; and outputting the document to which the selective eco mode is applied based on the mask.

Abstract: An information processing apparatus includes a processor configured to: receive an image; and in response to inputting a magenta component resulting from CMYK conversion of the received image, output the image having undergone color conversion performed by using a profile in which at least one of the magenta component and a pink component that leads to fluorescent color forming is output, in which in an area having an input magenta amount lower than a predetermined threshold, the magenta component is not output and only the pink component is output, the input magenta amount serving as an amount of the magenta component resulting from the CMYK conversion, and in which in an area having the input magenta amount higher than or equal to the threshold, the magenta component and the pink component are output.

Abstract: An image processing apparatus includes: a designating unit configured to designate a color; a reading unit configured to read a document to generate a document image; a conversion unit configured to convert a color of a pixel in the document image to a specific color based on a designated color designated by the designating unit; and a specification unit configured to specify a graphic region in the document image. The conversion unit is configured not to convert a color of a pixel in the graphic region specified by the specification unit to the specific color.

Abstract: Devices and techniques are generally described for class-agnostic object detection. In some examples, a first frame of image data comprising a first plurality of pixels may be received. First class-agnostic feature data representing the first plurality of pixels may be generated. A first object detection component may be used to determine that the first plurality of pixels corresponds to an arbitrary object represented in the first frame of image data based at least in part on the first class-agnostic feature data. Class-agnostic data indicating that the first plurality of pixels in the first frame of image data corresponds to the arbitrary object may be generated.

Abstract: A system is disclosed. The system includes at least one physical memory device to store compensation logic and one or more processors coupled with the at least one physical memory device to execute the compensation logic to generate first ink deposition function representing a first output ink amount versus input digital count for each of a plurality of color planes without pel forming element artifacts, generate second ink deposition function representing a second output ink amount versus input digital count for each of the plurality of color planes with the pel forming element artifacts and generate compensated halftones for each of the plurality of color planes based on the first ink deposition function and the second ink deposition function.

Abstract: A computing system and method for object recognition is presented. The method includes the computing system obtaining an image for representing the one or more objects, and generating a target image portion associated with one of the one or more objects. The computing system determines whether to classify the target image portion as textured or textureless, and selects a template storage space from among a first and second template storage space, wherein the first template storage space is cleared more often relative to the second template storage space. The first template storage space is selected in response to a textureless classification, and the second template storage space is selected as the template storage space in response to a textured classification. The computing system performs object recognition based on the target image portion and the selected template storage space.

Abstract: A computer analyzes submitted data to identify insufficient data among data necessary for executing C×F color conversion process. When spectral characteristic data of a patch constituting a C×F chart is insufficient, a computer supplements the spectral characteristic data. When complete printing order data has not been obtained, the computer supplements printing order data. The color conversion process is performed using the data after supplement.

Abstract: A recording apparatus includes a recording unit, first and second holding units, and a generation unit. The recording unit records an image on a recording medium, conveyed in a second direction, by using recording elements arranged along a first direction. The generation unit generates first correction data based on an input recording job and image data and a first adjustment value indicating a conveyance position, in the first direction, of a recording medium from the first holding unit, and generates second correction data based on the recording job and the image data and a second adjustment value indicating a conveyance position, in the first direction, of a recording medium from the second holding unit. The recording unit records an image on the first holding unit recording medium based on the first correction data, and records an image on the second holding unit recording medium based on the second correction data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify and manage IoT protocols and associated devices. An example apparatus includes a gateway device to communicate according to a first protocol. The example gateway device includes a plugin agent to discover a first device and probe the first device to gather data regarding a protocol of the first device. The example plugin agent is to transmit the gathered data to a plugin manager to determine whether the first device is to communicate via the first protocol, and, when the first device is unable to communicate via the first protocol, determine a plugin for the gateway device to enable the gateway device to communicate with the first device, the plugin agent to provision the plugin for the gateway device with respect to the first device.

Abstract: Examples dis closed herein relate to displaying, proximate to a hand engagement interface, a plurality of user interface elements, receiving, via a freeform input interface associated with the hand engagement interface, a freeform input from a user, identifying a command associated with a first element of the plurality of user interface elements associated with the freeform input, and updating the display of the plurality of user interface elements according to the command associated with the first element of the plurality of user elements.

Abstract: Video camera or video camera module, comprising an RGB image sensor, a computer processor adapted to perform pre-processing followed by video compression, and a dazzle detector, characterised in responding to dazzle in one colour channel by reducing values in that colour channel prior to compressing the video data. This has the advantage that in the event of laser dazzle that is specific to a colour channel, the compressed video data generated will retain more detail from the other colour channels compared to a conventional camera.

Abstract: Systems and methods are described for determining and verifying real-time location of a user based on physical location of a user device. The user device receives a generated geo-referenced position data from a server and correlates the geo-referenced position data with a ground-truth information to determine physical location of the user. The user device selects a set of test points using interpolation of a desired path of the user, where the desired path is determined based on the physical location of the user. The user device displays the set of test points on the desired path on a display unit and initiates a test call through a mobile network at each test point of the set of test points to verify the physical location of the user.

Abstract: A method of determining a model for pixel power consumption for each pixel in a display of a device displaying each color in a color space is disclosed which includes establishing a color space for the display, decomposing the color space into a plurality of subgrids, measuring the pixel power associated with a selected set of colors in each subgrid of the plurality of subgrids, establishing a pixel power model for each subgrid of the plurality of subgrids by applying a function to the power values at the selected set of colors in that subgrid, and deriving a piecewise pixel power model for the entire color space which includes pixel power models for the plurality of subgrids.

Abstract: For a plurality of kinds of printing media, spectral information is produced from results of printing of at least five points in paper white of the printing media, black, and three primary colors of coloring and printing materials, and a learned model is generated in advance by machine learning that uses the spectral information as learning data. An identification section that identifies the kinds of the printing media by using the learned model is provided. The kinds of the printing media are identified by applying the spectral information produced from the results of printing of at least five points on a printing target medium on which printing is to be performed to the learned model, and the printing target medium is processed in accordance with the identified kind of the printing target medium. In the case of a new unlearned printing medium, transfer learning is performed to learn the printing medium, and the model is updated.

Abstract: There are provided an image display device, a display control method, and a cradle that are capable of adjusting display image quality with a simple configuration. An image display device according to the present embodiment includes a tablet terminal having a display, a cradle holding the tablet terminal, and an optical sensor provided on the cradle and capable of receiving display light from the display.

Abstract: An apparatus may configure an illuminator to illuminate a scene with non-white light and control a camera to capture, in a plurality of color channels of the camera, a frame of the scene illuminated with the non-white light. The apparatus may adjust a signal of a color channel of the camera in the frame of the scene based on the non-white light.

Abstract: An image processing apparatus to communicate with a cloud service via a network includes a reading unit configured to read an image on a document, a transmission unit configured to transmit the read image to the cloud service, a request unit configured to request the cloud service to generate information for downloading the transmitted image, a reception unit configured to, based on the request, receive the information transmitted from the cloud server, and a notification unit configured to notify a user of the received information.

Abstract: A device of a lower hierarchy in a power supply configuration sets a flag of a non-volatile storage area when the device of the lower hierarchy reset by WDT. In a case where the flag at the time of starting, the device of an upper hierarchy is notified that the device of the lower hierarchy in the power supply configuration is reset. Thus, the device of the upper hierarchy initializes the entire system, and the image forming apparatus can be operated.

Abstract: A system is disclosed.

Abstract: The disclosure provides a method, device, and readable storage medium for adjusting image quality. The display device system selects a focus area of a target image, and outputs a mapping relationship curve of an input luminance value and an output luminance value of the target image. Then, an input luminance value range of pixels in the focus area of the target image is calculated, and upper and lower edge coefficients of the input luminance value range are proportionally adjusted to obtain new upper and lower edge coefficients. The mapping relationship curve is adjusted according to the new upper and lower edge coefficients, thereby adjusting the focus area of the target image.

Abstract: Provided is an image forming apparatus including: an obtainment unit configured to obtain print data including drawing commands; a first image processing unit configured to perform conversion of color information for drawing an object having a non-image attribute among objects to be drawn by the drawing commands; a command execution unit configured to generate raster image data based on the drawing commands; a storage configured to store the generated raster image data to perform predetermined output; a second image processing unit configured to perform conversion of color information on an object having a picture attribute in the generated raster image data; and a control unit configured to perform the predetermined output in a case where a predetermined condition is met.

Abstract: A digital image of a check may be divided into segments. The segments may be processed to determine the edges between the background data and the check data in the segments of the digital image. A histogram of each segment may be determined and used to determine the edges of the check image portions in the segments and thus the edges of the check. The data outside the edges of the check image portions in the segments may be considered to be background data and may be identified and/or removed. The segments, with the background data removed, may be recombined into an image of the check and provided into a digital image file that may be transmitted to an institution system for deposit of the check in an account.

Abstract: An image processing apparatus extracts an image area corresponding to a margin area of a chart for evaluation from a scanned image obtained by scanning a printed material on which the chart is printed. The image processing apparatus evaluates the printed material based on, in a case when a printing medium used for the printing is determined to be a printing medium having a specific characteristic based on the image area corresponding to the margin area, the scanned image from which influence based on the specific characteristic is decreased.

Abstract: An inspection apparatus capable of preventing lowering of position matching accuracy. Control points are positioned in a lattice form on a scanned image of a print product, for performing position matching between the scanned image and a reference image registered in advance. An approximate line of a column and an approximate line of a row intersecting the approximate line of the column are calculated based on two or more control points positioned in the same column and the same row as one control point. One control point determined to be corrected is corrected based on the respective approximate lines of the column and the row. The print product is inspected by comparing a position-matched scanned image generated based on the control points including position-corrected control points and position-updated control points, and the reference image.

Abstract: The present invention relates to a decision support method for the management of an orchard of fruit trees, the method comprising the following steps: Receiving (10) a plurality of digital images acquired in color, Then for each current image of the plurality of images: Converting (20) the current digital image acquired, into a converted HSL image coded in Hue Saturation and Lightness components, Filtering (30) the Hue Saturation and Lightness components, Combining (40) the filtered Hue Saturation and Lightness planes (5, 6, 7) to obtain a Combined plane (12), Calculating (50) a Work plane (13) from the Combined plane (12), Counting (60) the objects of interest in the Work plane (13), Determining (70) a blossoming level for each current image as a function of the number of objects of interest counted for said current image.