Abstract
In order to solve the problem of the “halo effect” and the bad color contrast after dehazing, a novel dehazing method based on the dark channel prior and the adaptive contrast enhancement algorithm is proposed. Using the hierarchical search method based on the quadratic tree space division to calculate the atmospheric light value, and then eliminate the “halo effect” caused by the guided filtering. By using the adaptive contrast enhancement algorithm based on unsharp masking algorithm to improve image information at the haze high concentration regional. Experimental results show that this algorithm can be more effective to dehaze and images after dehazing have a higher contrast.
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Peng, L., Li, B. (2018). Single Image Dehazing Based on Improved Dark Channel Prior and Unsharp Masking Algorithm. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_32
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