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GPU based real-time enhancement of high resolution image
Author(s): Maosen Huang; Kuanhong Cheng; Huixin Zhou; Yue Yu; Zhe Zhang; Wei Tan
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Paper Abstract

Curvature filter and gradient transform based image enhancement algorithm can effectively suppress noises and enhance image edges. However, it is very hard to be carried out in real time due to the large computing load. To address this problem, a GPU based parallel implementation is proposed in this paper. First, aiming at the characteristics of the algorithm, a numerical implementation method based on central-difference is proposed. Then a domain decomposition scheme is utilized in parallel Gaussian curvature filter to remove the dependence of neighboring pixels and guarantee convergence. Finally, we make the multiprocessor wrap occupancy reach 100% by optimizing the thread grid and register usage. Experimental results demonstrate that our parallel method runs 200-300 times faster than CPU serial method with real time processing of 4096×4096 resolution image, which indicates a great potential for application.

Paper Details

Date Published: 15 November 2018
PDF: 8 pages
Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 1096440 (15 November 2018); doi: 10.1117/12.2506026
Show Author Affiliations
Maosen Huang, Xidian Univ. (China)
Kuanhong Cheng, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Yue Yu, Xidian Univ. (China)
Zhe Zhang, Xidian Univ. (China)
Wei Tan, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 10964:
Tenth International Conference on Information Optics and Photonics
Yue Yang, Editor(s)

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