Name
Abstract | ||
|---|---|---|
In this paper, a fast enhancement method based on de-hazing is proposed for single low-light images. Instead of dark channel prior (DCP) used in the de-hazing related literature, the luminance map is used to estimate the global atmospheric light and the transmittance according to the observed similarity between the luminance map and DCP. Through this substitution, on the one hand the computation complexity is greatly reduced; on the other hand the block artifacts is also avoided brought by discontinuous transmittance estimated from DCP. Experimental results indicate that the proposed method has a significant improvement in both enhancement effects and processing speed compared with state-of-art enhancement algorithms. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-3005-5_9 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Image enhancement,Low-light conditions,De-hazing,Luminance map | Algorithm,Communication channel,Transmittance,Contrast ratio,Luminance,Computation complexity,Mathematics | Conference |
Volume | ISSN | Citations |
663 | 1865-0929 | 3 |
PageRank | References | Authors |
0.37 | 8 | 5 |