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.
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