Imaging sensors are linear over a large part of their operational range. Nevertheless, their behavior becomes non-linear when approaching saturation. This is undesired if such sensors are used for scientific measurements. In this work, a simple and efficient off-chip method is proposed for image sensor linearization. First, the sensor response is characterized with a constant irradiance and a sequence of captures at several integration times. Then a 1D look-up table is calculated to compensate for the nonlinear range. This LUT can be applied to the raw sensor data before further postprocessing. The higher signal-to-noise ratio of captured data is used to demonstrate the benefit of the extended linear range. The proposed method can restore linearity while being easy to implement and computationally efficient.
Maximilian Czech, Giorgio Trumpy, Ali Raza Syed, "Do-It-Yourself LUT-based Linearization of Image Sensors" in Archiving Conference, 2023, pp 126 - 130, https://doi.org/10.2352/issn.2168-3204.2023.20.1.27