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GPU-enabled parallel processing for image halftoning applications

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4 Author(s)
Trager, B. ; IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA ; Chai Wah Wu ; Stanich, Mikel ; Chandu, Kartheek

Programmable Graphics Processing Unit (GPU) has emerged as a powerful parallel processing architecture for various applications requiring a large amount of CPU cycles. In this paper, we study the feasibility for using this architecture for image halftoning, in particular implementing computationally intensive neighborhood halftoning algorithms such as error diffusion and Direct Binary Search (DBS). We show that it is possible to deliver very high performance even for high speed printers.

Published in:

Circuits and Systems (ISCAS), 2011 IEEE International Symposium on

Date of Conference:

15-18 May 2011

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