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Underwater image and video dehazing with pure haze region segmentation (2017)
Journal Article
Emberton, S., Chittka, L., & Cavallaro, A. (2018). Underwater image and video dehazing with pure haze region segmentation. Computer Vision and Image Understanding, 168, 145-156. https://doi.org/10.1016/j.cviu.2017.08.003

© 2017 The Authors Underwater scenes captured by cameras are plagued with poor contrast and a spectral distortion, which are the result of the scattering and absorptive properties of water. In this paper we present a novel dehazing method that improv... Read More about Underwater image and video dehazing with pure haze region segmentation.

Sensor capability and atmospheric correction in ocean colour remote sensing (2015)
Journal Article
Emberton, S., Chittka, L., Cavallaro, A., & Wang, M. (2016). Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8(1), https://doi.org/10.3390/rs8010001

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Accurate correction of the corrupting effects of the atmosphere and the water's surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from... Read More about Sensor capability and atmospheric correction in ocean colour remote sensing.

Hierarchical rank-based veiling light estimation for underwater dehazing (2015)
Presentation / Conference
Emberton, S., Chittka, L., & Cavallaro, A. (2015, September). Hierarchical rank-based veiling light estimation for underwater dehazing. Paper presented at British Machine Vision Conference

Current dehazing approaches are often hindered when scenes contain bright objects which can cause veiling light and transmission estimation methods to fail. This paper introduces a single image dehazing approach for underwater images with novel veili... Read More about Hierarchical rank-based veiling light estimation for underwater dehazing.


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