Author : R.Thendral 1
Date of Publication :14th March 2018
Abstract: Fog is a type of cloud, which touches the ground, fog may be dense (thick) or light (thin) based on dense and light fog the visibility of human.Fog can be so dense, that it makes the passing vehicles and huge monuments almost impossible to see. Fog leads to reduced visibility and it limits our ability to view other objects on the road side in foggy weather. It just creates an illusion leading to misjudging the distance between objects causing road accidents. Hence during night time when light is intended on the water droplet, it scatters the light in all the direction, and some of the light is even scattered towards the driver’s eyes, hence making the visibility weaker, this process is called back scattering of light or backscattered veil. Fog distorts our perception of speed, it makes difficult to distinguish between moving objects and stationary objects, hence leading to loss of life. And we have proposed the dark channel prior technique which is helpful to clear the hazy images. By using these two methods we detect the presence or absence of fog. Once we notice the fog in the image, by smearing dark channel prior, we are going eliminate fog from the images and we can easily restore the fog free images.
Reference :
-
- A Fast-Single Image Haze Removal Algorithm Using Color Attenuation Prior:Author: Qingsong Zhu
- Vision Enhancement in Homogeneous and Heterogeneous Fog Author: Jean-Philippe Tarel
- Improved Visibility of Road Scene Images under Heterogeneous Fog :Author: Jean-Philippe Tarel
- Two-stage image denoising by principal component analysis with local pixel grouping :Author: Lei Zhang
- Single Image Dehazing With Optimal Transmission Map :Author: Yi-Shuan Lai 6. Towards Night Fog Detection through use of InVehicle Multipurpose CamerasAuthor: Romain Gallen
- Markov Random Field Model for Single Image Defogging:Author: Laurent Caraffa
- Vision Enhancement in Homogeneous and Heterogeneous Fog :Author: Jean-Philippe Tarel
- Mitigation of Visibility Loss for Advanced Camera based Driver Assistances:Author: Nicolas Hautière
- N. Hautière, J. P. Tarel, J. Lavenant, and D. Aubert, “Automatic fog detection and estimation of visibility distance through use of an onboard camera,” Mach. Vis. Appl. J., vol. 17, no. 1, pp. 8–20, Apr. 2006
- R. Gallen, A. Cord, N. Hautière, and D. Aubert, “Towards night fog detection through use of in-vehicle multipurpose cameras,” in Proc. IEEE IV Symp., BadenBaden, Germany, 2011, pp. 399–404.
- Cord and D. Aubert, “Towards rain detection through use of in-vehicle multipurposecameras,”inProc.IEEEIVSymp.,BadenBaden,Germany, 2011, pp. 833–838.