Parallel non-uniformity correction of infrared images using CUDA

Peng Chen; Hong-Shi Sang; Ya-Jing Yuan; Tian-Xu Zhang

doi:10.1117/12.832758

30 October 2009 Parallel non-uniformity correction of infrared images using CUDA

Peng Chen, Hong-Shi Sang, Ya-Jing Yuan, Tian-Xu Zhang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74970E (2009) https://doi.org/10.1117/12.832758
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Peng Chen, Hong-Shi Sang, Ya-Jing Yuan, and Tian-Xu Zhang "Parallel non-uniformity correction of infrared images using CUDA", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970E (30 October 2009); https://doi.org/10.1117/12.832758

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