Object color management using raster image processors and object detection and semantic segmentation
AssigneeFiery, LLC
InventorsHolger Schuppan, Haresh Joshi
Life of this patent
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AssigneeFiery, LLC
InventorsHolger Schuppan, Haresh Joshi
Estimating the term…
A raster image processor and a convolutional neural network or other artificial intelligence module operate in parallel. Image data for printing is passed to the raster image processor and the convolutional neural network. The raster image processor translates computer vector files and/or rasterizes bitmaps having higher or lower resolution than the output device to a raster image that includes a matrix of dots a printer can process. The raster image processor generates layers for process inks. The convolutional neural network generates a mask layer, based on the image, that is used by the raster image processor to generate an additional layer for spot colors, object colors, or specialty ink. The mask layer transmitted to the raster image processor generates a spot color layer. The layers generated by the raster image processor and the additional layer for the spot colors and/or specialty inks are combined into a print data file.
A computer-implemented method for object color management by a raster image processor and an object detection and semantic segmentation module, the method comprising:
A printing system, comprising:
A non-transitory computer readable medium storing computer instructions that when executed by one or more computer processors, cause the one or more computer processors to:
Dependencies are inferred from the claim text.