Contrast restoration of foggy images on the ZYNQ embedded platform
作者： Bogdan Coseriu , Mihai Negru , Sergiu Nedevschi
DOI: 10.1109/ICCP.2016.7737148
关键词:
摘要: 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 any environmental weather conditions. Since fog is one of the most dangerous phenomena for driving propose an embedded solution able restore contrast images captured from a moving vehicle Our based on state art restoration algorithm provide quality real time. The visibility enhanced greatly improved such other image processing can be applied resulting images. We have chosen Xilinx ZYNQ platform since it provides best tradeoff terms cost, performance form-factor.
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