Abstract
A novel dust-sand storm image enhancement scheme is proposed. The input degraded color image is first convert into CIELAB color space. Then two chromatic components (a* and b*) are combined to perform color cast correction and saturation stretching. Meanwhile, the fast Local Laplacian Filtering is employed to lightness component (L*) to enhance details. Experimental results illustrate that enhanced images have natural colors, more clear details and better visual effect than original degraded images.
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Wang, J., Pang, Y., He, Y., & Liu, C. (2016). Enhancement for dust-sand storm images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9516, pp. 842–849). Springer Verlag. https://doi.org/10.1007/978-3-319-27671-7_70
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