Contrast restoration of foggy images on the ZYNQ embedded platform
Bogdan Coseriu, Mihai Negru, Sergiu Nedevschi · 2016
Autonomous Vehicles require accurate environment information in order to perform scene understanding with very high accuracy. For this reason, we must design perception algorithms that are robust and must perform in any environmental and weather conditions. Since fog is one of the most dangerous weather phenomena for driving we propose an embedded solution that is able to restore the contrast of images captured from a moving vehicle in fog conditions. Our solution is based on a state of the art contrast restoration algorithm and is able to provide high quality images in real time. The visibility in the enhanced images is greatly improved such that other image processing algorithms can be applied on the resulting images. We have chosen the Xilinx ZYNQ embedded platform since it provides the best tradeoff in terms of cost, performance and form-factor.