Patent classifications
H04N1/6047
Device and method for generating color conversion correction data, image forming apparatus, and non-transitory recording medium
A color conversion correction data generation device includes circuitry that acquires first chromaticity values obtained from conversion target image data and second chromaticity values of sample image data, the conversion target image data being image data to be subjected to color conversion, the sample image data being obtained by reading a printed sample; curve-fits chromaticity value correspondence data to generate color conversion correction data, the chromaticity value correspondence data being data in which the acquired first chromaticity values and the acquired second chromaticity values are associated with each other; and outputs the color conversion correction data for correcting image data obtained by subjecting the conversion target image data to the color conversion.
Digital system and method for paint color matching
A method includes obtaining first color information for each of a plurality of first samples of a first target color with a color measurement device connected to a computing device including a display. A digital color image of at least one first target color is displayed on the display. An offset value for each first target color is determined such that the digital color image of each first target color matches the corresponding first target color on each of the first samples. A second sample including a second target color is scanned to obtain second color information. A processor of the computing device determines, using the offset values of the first target colors, an interpolated offset for the display such that the digital image of the second target color matches the second tar get color.
COLOR CONVERSION TABLE CREATION APPARATUS AND METHOD, COLOR CONVERSION APPARATUS, AND PROGRAM
Provided are a color conversion table creation apparatus and method, a color conversion apparatus, and a program capable of further increasing color matching accuracy. A color conversion table creation apparatus includes an image reading unit (30) that acquires read image data of a target printed article, a first color conversion unit (64) that performs color conversion by using a first color conversion table representing a correspondence relationship between a signal value of a first color space obtained from the image reading unit (30) and a chromaticity value of a second color space which is a device-independent color space, an image correlation unit (62) that performs correlation of a positional relationship between the read image data or read chromaticity value image data converted into a chromaticity value and original document image data, and a color conversion table creation unit that creates a second color conversion table representing a multi-dimensional correspondence relationship between a third color space of the original document image data and a second color space on the basis of a correspondence relationship between the original document image data and a chromaticity value of a read image, in which a first printed article which is printed by a printing apparatus (18) on the basis of first image data is read by the image reading unit (30), and thus an output device color conversion table (94A) is created.
PRINT-MODE CONFIGURATION SELECTION
A system includes an image analyzer to analyze an image to be printed by a printer and to obtain an image parameter of the image, and a database to store a plurality of print-mode configurations for the printer. Each print-mode configuration has associated therewith a measure that represents a suitability of the print-mode configuration to print an image having a certain image parameter on a certain print medium. The database receives a query, and the query indicates the image parameter and a print medium. The database selects, responsive to the query and to the measure, a print-mode configuration for the printer, and outputs the selected print-mode configuration. The system modifies the measure associated with the selected print-mode configuration in response to a feedback about the printed image.
IMAGE PROCESSING APPARATUS AND PROGRAM
An image processing apparatus includes a hardware processor that acquires a read image obtained by reading an image printed on a recording medium based on a printing image by an image reader, wherein the hardware processor generates a difference image based on a difference between the read image and the printing image, and determines presence or absence of a defect in the read image based on magnitude of fluctuation of a pixel value in the difference image.
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, AND COMPUTER PROGRAM PRODUCT
An image processing apparatus includes a reflection characteristic detector, and a gradation characteristic correction unit. The reflection characteristic detector is configured to detect reflective characteristics of respective output images on respective print media formed in a temporarily shifted manner among print media on which output images corresponding to input image data are formed. The gradation characteristic correction unit is configured to correct gradation characteristics of the input image data such that the reflection characteristics of the respective output images on the respective print media detected by the reflection characteristic detector match.
DETERMINATION OF TONE VALUE INCREASE FROM A PRINTED IMAGE
Systems and methods for analyzing printed images are provided. One system includes a processing circuit configured to: determine a set of one or more locations on the printed image on the substrate to measure color values; determine a set of input tone values for the at least one ink; receive a set of measured color values corresponding to the set of locations on the printed image from a sensor; and determine a tone value increase error based on the set of measured color values and the set of input tone values. The at least one processing circuit is configured to determine the tone value increase error without requiring measured color values from an area having solid ink.
Image forming apparatus, image forming method, and program
An image forming apparatus that forms an output image corresponding to input image data on an image carrier by superimposing toner images of colors, includes a hardware processor that: detects color information of the output image for every pixel region; converts color information of the input image data for every pixel region and color information of the output image for every pixel region into indexes which define colors in predetermined color space coordinates; extracts a pixel region in which the color information of the output image is different from the color information of the input image data, and corrects the color information of the input image data with respect to the extracted pixel region; and stores the color information of the input image data as data for calibration in combination with the color information of the output image and image forming conditions when forming the output image.
IMAGE PROCESSING APPARATUS AND METHOD
According to one embodiment, an image processing apparatus includes an image reading device, a storage device, and a control unity. The image reading device reads an image on a sheet. The storage device stores information. The control unit that determines a detection area of an encoded image based on a teacher image which is an image read from a predetermined teacher sheet by the image reading device, records information indicating the detection area in the storage device, detects an encoded image in the detection area among the images read from a sheet to be read after the teacher sheet, and decodes the detected encoded image.
SYSTEMS AND METHODS FOR MATCHING COLOR AND APPEARANCE OF TARGET COATINGS
System and methods for matching color and appearance of a target coating are provided herein. The system includes an electronic imaging device configured to receive a target image data of the target coating. The target image data includes target coating features. The system further includes one or more feature extraction algorithms that extracts the target image features from the target image data. The system further includes a machine-learning model that identifies a calculated match sample image from a plurality of sample images utilizing the target image features. The machine-learning model includes pre-specified matching criteria representing the plurality of sample images for identifying the calculated match sample image from the plurality of sample images. The calculated match sample image is utilized for matching color and appearance of the target coating