Color Channel Transfer for Image Dehazing
(2019) IEEE Signal Processing Letters — Vol. 26, n° 9, p. 1413-1417 (2019)
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- Authors
Ancuti, Codruta Orniana 
Ancuti, Cosmin Sbetr, Mateu
- Abstract
- In this letter we introduce a simple but effective concept, Color Channel Transfer (CCT), that is able to substantially improve the performance of various dehazing techniques. CCT is motivated by a key observation: in scattering media the information from at least one color channel presents high attenuation. To compensate for the loss of information in one color channel, CCT employs a color-transfer strategy and operates in a color opponent space that helps to compensate automatically the chromatic loss. The reference is computed by combining the details and saliency of the initial image with uniform gray image that assures a balanced chromatic distribution. The extensive qualitative and quantitative experiments demonstrate the utility of CCT as a pre-processing step for various dehazing problems such as day-time dehazing,night-time dehazing, and underwater image dehazing.
- Affiliations
Citations
Ancuti, C. O., Ancuti, C., De Vleeschouwer, C., & Sbetr, M. (2019). Color Channel Transfer for Image Dehazing. IEEE Signal Processing Letters, 26(9), 1413-1417. https://doi.org/10.1109/lsp.2019.2932189 (Original work published 2019)