Study of the Impact of Pre-processing Applied to Images Acquired by the Cygno Experiment

This work proposes to evaluate the effect of digital filters when applied to images acquired by the ORANGE prototype of the Cygno experiment. A preliminary analysis is presented in order to understand if filtering techniques can produce results that justify investing efforts in the pre-processing stage of those images. Such images come from a camera sensor based on CMOS technology installed in an appropriate gas detector. To perform the proposed work, a simulation environment was created and used to evaluate some of the classical filtering techniques known in the literature. The results showed that the signal-to-noise ratio of the images can be considerably improved, which may help in subsequent processing steps such as clustering and particles identification.