Abstract
In this chapter, we propose an effective method to remove uniform and heterogeneous fog from the image using dark channel prior (DCP) and guided filter. Variation in thickness of the fog present in variety of image has helped to analyze and upgrade the dark channel prior image quality. Fog acts as veil which obscures the original scene radiance. A significant amount of fog could be observed around the edges of the objects in fog free image which is carried from the foggy image during intermediate processing steps. Efficient selection of dark channel prior kernel parameters helps us to carry minimum fog from the input foggy image to fog free image which has certainly reduced the halo effect around the edges of the objects in the fog free image. Also the use of guided filter to preserve edges of the objects in image is a fast and cost effective approach toward generation of fog less image.
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Acknowledgments
We would like to express our deep gratitude to our technical guide Ajit Kulkarni, Anoop Pathayapurakkal and Avinash Nagaraj from company Continental Automotive India Pvt. Ltd., for their patient guidance, encouragement and wide vision which gave us a chance to explore, reason, and express our ideas. Their insightful advice and constructive criticisms at different stages of our research were thought-provoking and they helped us focus on our ideas.
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Pallawi, Natarajan, V. (2017). Enhanced Single Image Uniform and Heterogeneous Fog Removal Using Guided Filter. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_38
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DOI: https://doi.org/10.1007/978-981-10-3174-8_38
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