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Modern variable data presses use substantial processing power. In many cases, a bank of processors is used to manage the RIP (raster image processing), and print jobs are performed using sophisticated parallel scheduling approaches. The high processing power of digital presses enables
the possibility of performing valuable imaging tasks using the same processing units. Important imaging tasks include reading printed marks (such as barcodes), print validation and inspection. In order to optimize the interleaving of real-time printing and imaging tasks, different imaging
approaches must be considered. In this paper, we consider three different classes of imaging optimization in order to compare their relative effect on throughput and on amenability to processing on the press. These are (1) performing down-sampling before image segmentation versus performing
native resolution image segmentation, (2) selecting different programming languages/compilers (e.g. Java versus C++ in our experiments) for the imaging, and (3) marshaling images into a single buffer versus allowing the system to manage the image,. Our results demonstrate that, in general,
changes in structural approach to imaging, such as (1) provides, have the greatest positive impact on processing, while (2) has the least impact. The impact of approach (3) is more highly dependent on the architecture of the press, and so is perhaps the method that can be most positively affected
by intelligent modeling.
Document Type: Research Article
Publication date: January 1, 2011
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For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.
Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.