Analyze and improve image filters in GNOME Photos

This thesis is focused on reverse-engineering the Clarendon filter from popular social network Instagram and implementing it inside the Gnome’s Photos application. At the beginning of the thesis, a detailed reconstruction of the filter is made. After that, a search for the most optimal implementation of the filter follows. The result of the thesis is the implementation of the filter algorithm inside the Gnome’s Photos application.