Enhancement of night movies using fuzzy representation of images
Petr Hurtík, Marek Vajgl, Nicolás Madrid · 2016
A cheap personal camera is a perfect device that allows us to test algorithms for video enhancement. In this paper we present a cascade of filters based on a fuzzy representation of images. This representation tries to capture the uncertainty underlying in the intensity of a pixel by means of a fuzzy set. The cascade of filters is compared with the corresponding standard filters: blurring, sharpening and image averaging. Besides, experimentally we show that our approach provides similar results with a significant reduction of the computational time.