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US 12,764,245 B2Granted
Method and apparatus for AI-based image classification for color management in printing
AssigneeFiery, LLC
InventorsHolger Schuppan, Mario Kuehn
Life of this patent
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Abstract
Automated selection of a best gamut mapping strategy for a given element of the print job adapts the color management process to manage all important elements and quality criteria for all content elements of a print product to produce an optimal print product. Criteria which have a lower priority for a particular content are compromised. Accordingly, optimal image quality is achieved for every content element and printer color management settings are simplified.
Claims2
A computer implemented method for image classification for color management in printing, comprising:
- creating ICC color profiles or similar, containing color lookup tables (CLUTs) that describe gamut mapping of input colors to output colors, wherein said CLUTs are created for different applications;
- using a convolutional neural network (CNN) that is trained to perform image classification and object detection to analyze and tag images to be printed and/or to mask part of said images to be printed with a classification category;
- a color management module (CMM) using said classification tags or masks to select a best suited color lookup table automatically;
- and
- said CMM applying said table during color conversion to a color space of a printing device.
2 more elements
Dependencies are inferred from the claim text.