Accidents due to low visibility during heavy rain are a major concern all over the world and a technological solution was much awaited.
Also, the solution needed to give real-time visual output with least errors as there is considerable risk involved in case any deviation in the imaging.
The technology, Real-time Rain Removal from Videos, is a proprietary algorithm which has a big advantage for Driver Assistance Systems (DAS) that uses video information to impart traffic related information.
"In the proposed solution, time evolution properties of the consecutive video frames are analysed and the detection of regions affected by rain along with their restoration is proposed.
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Unlike previous approaches, the proposed algorithm does not assume the shape, size, direction and velocity of the raindrops and the intensity of rain, which makes it robust to different rain conditions.
The technology has been patented internationally by the researchers under the name "Method and Apparatus for Detection and Removal of Rain from Videos using Temporal and Spatiotemporal Properties."
"Instead of working on the colour components, the proposed algorithm works only on the intensity of component of the video, so for autonomous driving/surveillance applications which does not require the videos to be displayed on a screen, we can work directly on monochrome videos rather than colour videos.