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This is a preprint. It may change before it is accepted for publication.
Abstract
Temporal high pass filter methods are a family of methods for Fixed Pattern Noise (FPN) reduction. They are recursive real time methods that apply a high-pass temporal filter to remove the FPN. FPN is a temporally coherent noise present on video due to the non-uniformity response of the sensors. It is a common problem for infrared videos and can degrade the quality of the observation. In this work we will study and compare three classical temporal high pass filter FPNR methods.
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