Systems and methods are provided for selectively qualifying printers for printing incoming jobs, based on an amount of colors within the job that the printers can reproduce. One embodiment is a system that includes an interface and a memory storing a print job defined in a job color space. The system also includes a controller that identifies colors specified by print data in the print job, determines coordinates of the colors in a perceptual color space, selects a printer, determines boundaries of a color gamut of the printer in the perceptual color space, and determines an amount of the colors that the printer is capable of reproducing. When the amount is greater than a threshold, the controller qualifies the printer for printing the print job. When the amount is less than the threshold, the controller disqualifies the printer from printing the print job.

A method for identical color display based on spectral data impressions for different output applications related to the digital data processing of color information values for different output applications and different color values according to usual standard regarding a controlled, loss-less and color-correct display of specific pre-defined color impressions with location-independent matching and adjusting of the color data. The method contains instructions for identifying and providing in an IT infrastructure specific color data as spectral data records that are converted and transmitted for an output application in real time into a device-specific color profile for a specific output device, taking into account query-dependent values. In a preferred application, material- and substance-specific data is taken into account during conversion. In another preferred application the spectral data records are provided for subsequent queries.

A system, method, and computer program product are provided for digital photography. In use, a digital package comprising two or more images, metadata, and a function or parameter is received. A first action is performed on the two or more images, wherein the first action includes at least one of: a recognition of at least one object within the two or more images; a determination of a location based on the recognition; or an identification of information associated with the at least one object. A second action is performed on the two or more images. A synthetic image is rendered based on the two or more images, the first action, and the second action.

In one embodiment, a processor-readable medium stores code representing instructions that when executed by a processor cause the processor to print a print job, and determine target color data for each sheet of the print job while printing the job. The instructions further cause the processor to continually save the target color data to a server for each sheet of the print job as each sheet is printed.

A pixel-by-pixel calibration method is provided. Multiple sample cabinets are selected from to-be-calibrated cabinets to form a small screen with the sample cabinets, image acquisitions are performed on the small screen and luminance-chrominance mean deviation ratios are calculated. The sample cabinets are placed at fulcrum positions of a large screen to be calibrated, and the other remaining cabinets are placed at other positions. Full-screen original luminance-chrominance values are obtained by image acquisition on the large screen, original luminance-chrominance values of the sample cabinets are adjusted by the luminance-chrominance mean deviation ratios, and luminance-chrominance distribution fitting surfaces are generated by adjusted full-screen original luminance-chrominance values to amend the full-screen original luminance-chrominance values. Amended full-screen luminance-chrominance values are used as luminance-chrominance initial values and luminance-chrominance target values are set, and full-screen pixel-by-pixel calibration coefficients of the large screen are obtained. The effect of arbitrarily splicing LED cabinets after calibration can be achieved.

A method comprising printing multicolored images on containers includes providing overall-image data, extracting partial-image data from the overall-image data, print-head-specific calibration-data for the print heads, using the partial-image data and the first print-head-specific calibration-data for calculating print-head image-data for each print head, and causing the print heads to print corresponding partial images on containers, each partial image corresponding to one of the colors in the multicolored images.

A screen calibration method includes acquiring a full screen image displayed on a screen by a camera, acquiring first optical data of a first region of the screen by a sensor, adjusting the first optical data of the first region of the screen according to first calibration parameters for calibrating colors of the first region to approach target optical data, generating second optical data of a second region of the screen according to the full screen image and the first optical data of the first region, generating second calibration parameters according to the target optical data and the second optical data, and adjusting the second optical data of the second region of the screen according to the second calibration parameters for calibrating colors of the second region to approach the target optical data.

In a direct stimulus value reading type colorimetric photometer, first, second, and third colorimetric optical systems have spectral responsivities approximate to first, second, and third parts of the color matching function, respectively. A deriving unit derives a colorimetric value corresponding to a case in which the color matching function is selected as an evaluation function for colorimetry and a photometric value corresponding to a case in which the spectral luminous efficiency is selected as an evaluation function for photometry (i.e. CASE) from three signals. The spectral luminous efficiency is not consistent with any one of the first, second, and third parts. A fourth colorimetric optical system may have spectral responsivity approximate to the spectral luminous efficiency, and the deriving unit may derive the colorimetric value corresponding to the CASE from a fourth signal.

Provided are an imaging apparatus, an imaging method and a computer program product capable of reducing the deviation of an output image when imaging modules with different spectral sensitivities are replaced with each other, an imaging method, and a computer program product. The imaging apparatus includes a processor that selectively obtains one of the first captured image and the second captured image to be output as an output image based on a magnification characteristic of the output image; based on the first image being replaced with the second image as the output image, corrects image information of the second captured image based on first output image information of the first captured image and second output image information of the second captured image; and outputs the output image according to a correction to the second captured image based on the corrected image information of the second captured image.

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