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Abstract
Images degraded due to bad weather conditions affect the quality of vision-based security systems, as the distortions obscure contrasts in the frames of the images. In this paper, we present a novel approach that uses adaptive total variation minimisation to retain the object and reduce the noise from a single image, thereby enhancing fog-degraded images. Representative experimental results show that our proposed algorithm is effective for contrast and saturation enhancement of fog-degraded images.
Acknowledgements
This research was supported by the CRC program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science (NRF-2015R1A5A7037615). It was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014R1A1A1002890)