GPU-enabled parallel processing for image halftoning applications
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...
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| creator | Trager, B. Chai Wah Wu Stanich, M. Chandu, K. |
| description | 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. |
| doi_str_mv | 10.1109/ISCAS.2011.5937866 |
| format | Conference Proceeding |
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| ispartof | 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011, p.1528-1531 |
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| recordid | cdi_ieee_primary_5937866 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Arrays Graphics processing unit Kernel Parallel processing Pixel Satellite broadcasting |
| title | GPU-enabled parallel processing for image halftoning applications |
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