|
|
|
| Title | A Parallel Error Diffusion Implementation on a GPU
(In Proceedings) |
|---|
| in | Proceedings of SPIE: IS&T/SPIE Electronic Imaging 2011 / Parallel Processing for Imaging Applications |
|---|
|
| Author(s) |
Yao Zhang, John Recker, Robert Ulichney, Giordano Beretta, Ingeborg Tastl, I-Jong Lin, John D. Owens |
|---|
|
| Keyword(s) | Halftoning, Error Di ffusion, Parallel Processing, GPU Computing. |
|---|
|
| Year |
January 2011
|
|---|
| Location | San Francisco, CA |
|---|
| Date | January 23-27, 2011 |
|---|
| Volume | 7872 |
|---|
|
|
| Download |  |
|---|
|
| BibTeX |  |
|---|
|
| Abstract |
In this paper, we investigate the suitability of the GPU for a parallel implementation of the pinwheel error
di usion. We demonstrate a high-performance GPU implementation by efficiently parallelizing and unrolling the
image processing algorithm. Our GPU implementation achieves a 10-30x speedup over a two-threaded CPU
error di ffusion implementation with comparable image quality. We have conducted experiments to study the
performance and quality tradeoff s for di fferences in image block sizes. We also present a performance analysis
at assembly level to understand the performance bottlenecks.
|
|---|
|
|
