• Jayashree V
• Deepa M
• Gayathri P
• Dr D.Venugopal

Fog in images causes major problems in many computer vision applications such as video surveillance, navigation, object recognition, and remote sensing. Fog, haze and smoke are a big reason of road accidents. Accident rate can be reduced if robust and efficient algorithms are applied for road image fog removal. Haze removal techniques based on dark channel prior model have used different filters for estimating the transmission. We have studied effect of using different filters along with the fundamental mean and gaussian filters in the visibility enhancement in foggy conditions. The results show that the different filters have varied effect on visibility enhancement. According to our study bilateral filter perform better than the others.

Haze, Fog, Dark Channel Prior, Bilateral Filter

"CERTAIN INVESTIGATION ON FOG DENSITY ESTIMATION AND IMAGE DEFOGGING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.14-16, March-2019, Available :http://www.jetir.org/papers/JETIR1903G04.pdf

"CERTAIN INVESTIGATION ON FOG DENSITY ESTIMATION AND IMAGE DEFOGGING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp14-16, March-2019, Available at : http://www.jetir.org/papers/JETIR1903G04.pdf