Fixed Pattern Noise Reduction: Optimization-Based and Temporal High Pass Filter Methods
Hortensia Barral, Pablo Arias, Axel Davy
⚠ This is a preprint. It may change before it is accepted for publication.

Abstract

Fixed pattern noise (FPN) is a temporally coherent noise present on video due to the non-uniform response of the sensors. It is a common problem for infrared videos and can degrade the quality of the observation. In this work we study and compare two types of FPN removal methods: temporal high pass filter and optimization-based methods. Both are recursive real-time methods that perform very few operations per pixel. We show that the temporal high pass filter can be obtained as a particular case of optimization-based methods. We implement and compare several variants that have been proposed in the literature.

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