Whether degraded image and video processing and its real time implementation(January 2014 – April-2014) 


Fellow Collaborators:

Supervision: Dr. S.K.Sahoo, Assistant Professor, Electrical Engineering Department, Bits Pilani Hyderabad Campus

Mrs. Apurva Kumari, PhD Student, BITS Pilani Hyderabad Campus



Haze and fog removal is a typical phenomenon, which is caused by the minute particles in air. Haze is composed of aerosol particles suspended in gas. It occurs when the dust and smoke particles are accumulated in dry air, which gives a cloudy appearance. In a foggy scene, many reactions like scattering, refraction and absorption occur. The presence of this haze leads to considerable distortion of the scene thereby reducing its visibility drastically at times. Hence defogging / de-hazing is highly required for receiving high quality performance. There are many de-hazing techniques proposed, still many difficulties are left to be solved


This project involves implementing image processing and computer vision techniques for fog & haze removal of weather degraded images and videos. The simulations were done on MATLAB and may be deployed on a FPGA and DSP kit.


* Paper accepted at the IEEE VLSI-SATA 2015 Conference