A parallel error diffusion implementation on a GPU

Yao Zhang; John Ludd Recker; Robert Ulichney; Giordano B. Beretta; Ingeborg Tastl; I-Jong Lin; John D. Owens

doi:10.1117/12.872616

25 January 2011 A parallel error diffusion implementation on a GPU

Yao Zhang, John Ludd Recker, Robert Ulichney, Giordano B. Beretta, Ingeborg Tastl, I-Jong Lin, John D. Owens

Proceedings Volume 7872, Parallel Processing for Imaging Applications; 78720K (2011) https://doi.org/10.1117/12.872616
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In this paper, we investigate the suitability of the GPU for a parallel implementation of the pinwheel error diffusion. 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 diffusion implementation with comparable image quality. We have conducted experiments to study the performance and quality tradeoffs for differences in image block sizes. We also present a performance analysis at assembly level to understand the performance bottlenecks.

Citation Download Citation

Yao Zhang, John Ludd Recker, Robert Ulichney, Giordano B. Beretta, Ingeborg Tastl, I-Jong Lin, and John D. Owens "A parallel error diffusion implementation on a GPU", Proc. SPIE 7872, Parallel Processing for Imaging Applications, 78720K (25 January 2011); https://doi.org/10.1117/12.872616

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