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Proceedings Paper

A GPU accelerated PDF transparency engine
Author(s): John Recker; I-Jong Lin; Ingeborg Tastl
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Paper Abstract

As commercial printing presses become faster, cheaper and more efficient, so too must the Raster Image Processors (RIP) that prepare data for them to print. Digital press RIPs, however, have been challenged to on the one hand meet the ever increasing print performance of the latest digital presses, and on the other hand process increasingly complex documents with transparent layers and embedded ICC profiles. This paper explores the challenges encountered when implementing a GPU accelerated driver for the open source Ghostscript Adobe PostScript and PDF language interpreter targeted at accelerating PDF transparency for high speed commercial presses. It further describes our solution, including an image memory manager for tiling input and output images and documents, a PDF compatible multiple image layer blending engine, and a GPU accelerated ICC v4 compatible color transformation engine. The result, we believe, is the foundation for a scalable, efficient, distributed RIP system that can meet current and future RIP requirements for a wide range of commercial digital presses.

Paper Details

Date Published: 25 January 2011
PDF: 11 pages
Proc. SPIE 7872, Parallel Processing for Imaging Applications, 78720T (25 January 2011); doi: 10.1117/12.872568
Show Author Affiliations
John Recker, Hewlett-Packard Labs. (United States)
I-Jong Lin, Hewlett-Packard Labs. (United States)
Ingeborg Tastl, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 7872:
Parallel Processing for Imaging Applications
John D. Owens; I-Jong Lin; Yu-Jin Zhang; Giordano B. Beretta, Editor(s)

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