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Proceedings Paper

Parallel non-uniformity correction of infrared images using CUDA
Author(s): Peng Chen; Hong-Shi Sang; Ya-Jing Yuan; Tian-Xu Zhang
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Paper Abstract

In this paper, we proposed a new way of implementing non-uniformity correction (NUC) techniques by using NVIDIA CUDA parallel programming model. Non-uniformity and bad cells problems generally exist in Infrared Focal Plane Array (IRFPA) Sensors and real-time correction is needed before further processing. With the intrinsic parallel nature of most non-uniformity correction algorithms, the ever popular multi-core multi-thread processor architecture is a suitable match. We'll investigate several non-uniformity correction techniques on CUDA, CPU and ASIC platforms and compare the results in processing power, latency, costs and etc.

Paper Details

Date Published: 30 October 2009
PDF: 9 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970E (30 October 2009); doi: 10.1117/12.832758
Show Author Affiliations
Peng Chen, Huazhong Univ. of Science and Technology (China)
Hong-Shi Sang, Huazhong Univ. of Science and Technology (China)
Ya-Jing Yuan, Huazhong Univ. of Science and Technology (China)
Tian-Xu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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