Title :
Fog removal algorithms: Survey and perceptual evaluation
Author :
Ximvei Liu ; Hardeberg, Jon Yngve
Author_Institution :
Norwegian Colour & Visual Comput. Lab., Gjovik Univ. Coll., Gjovik, Norway
Abstract :
In this paper, we evaluate three state-of-the-art fog removal algorithms. The goal of the evaluation is to compare which algorithm performs better with regards to human perception; this has not been done in previous works. Two approaches are used to evaluate these algorithms: one is computing the ratio between the gradient of the visible edges in the images before and after fog removal; another one is using a psychophysical method with human observers and a rank order protocol. Using both computing based and psychophysical based methods allows us to investigate whether they lead to comparable results. The experimental results presented in the paper gives a clear comparison outcome between the three tested algorithms.
Keywords :
edge detection; filtering theory; fog; image enhancement; image restoration; visibility; fog removal algorithms; guided image filtering; human observers; human perception; image visible edges gradient; psychophysical method; rank order protocol; visibility enhancement algorithm; visibility restoration; Filtering; Image edge detection; Image restoration; Meteorology; Observers; Real-time systems; Signal processing algorithms; Fog removal; image enhancement; perception; performance evaluation; psychophysical;
Conference_Titel :
Visual Information Processing (EUVIP), 2013 4th European Workshop on
Conference_Location :
Paris