Cast-GAN: learning to remove colour cast from underwater images - Chau Yi Li
2020 Intelligent Sensing Summer School
Cast-GAN: learning to remove colour cast from underwater images
Chau Yi Li, QMUL
Underwater images are degraded by blur and colour cast caused by the attenuation of light in water. To remove the colour cast with neural networks, images of the scene taken under white illumination are needed as reference for training, but are generally unavailable. We exploit open data and typical colour distributions of objects to create a synthetic image dataset that reflects degradations naturally occurring in underwater photography. We use this dataset to train Cast-GAN, a Generative Adversarial Network whose loss function includes terms that eliminate artefacts that are typical of underwater images enhanced with neural networks.
As part of the 2020 Intelligent Sensing Summer School: http://cis.eecs.qmul.ac.uk/school2020...