Restoration and Enhancement of Underwater Light Field Image

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Abstract

In this paper, we propose an algorithm for underwater light field image restoration and enhancement. The algorithm is based on the image haze removal using dark channel prior and Pyramid image fusion. In the process of restoration and enhancement, the light field image is converted into four-dimensional data, and each angle image of the four-dimensional data is restored and enhanced. After this, the four-dimensional data is refocused and all-focused again to get the clearer image. Final experimental result shows that the proposed algorithm has good effects on the restoration and enhancement of underwater light field image.

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Cui, W., Li, C., Zhang, C., & Zhang, X. (2018). Restoration and Enhancement of Underwater Light Field Image. In Lecture Notes in Electrical Engineering (Vol. 451, pp. 93–105). Springer Verlag. https://doi.org/10.1007/978-981-10-5768-7_9

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