The Algorithm that removes the water from underwater images
Why do all the pictures you take underwater look blandly blue-green?
The answer has to do with how light travels through water.
Derya Akkaynak, an oceangoing engineer from the University of Haifa, has figured out a way to recover the colorful brilliance of the deep.
Results of our method for increasing the visibility range in underwater images, commercialized by SeaErra-Vision LTD.
Results of our method for increasing the visibility range in underwater images, commercialized by SeaErra-Vision LTD.
3D model of a coral reef in Eilat, Red Sea, Israel. The interactive map can be viewed from multiple perspectives and used to study the different organisms that inhabit the reef, their interactions, spatial distribution, living cover, diversity, and health status. When repeated over time, 3D models present a powerful research and monitoring tool that can assist decision-makers in the management and protection of these delicate ecosystems.
An underwater microscope is letting scientists bring their lab into the ocean. The new technology is revealing previously unseen behaviors from the tiny polyps that make up vast coral reefs.
Nature video
Calibration of the stereo camera setup at the SATIL wreck.
We encountered a dolphin while diving with the stereo camera setup.
Monitoring of the marine environment requires large amounts of data, simply due to its vast size. Therefore, underwater autonomous vehicles and drones are increasingly deployed to acquire numerous photographs. However, ecological conclusions from them are lagging as the
data requires expert annotation and thus realistically cannot be manually processed. This calls for developing automatic classification algorithms dedicated for this type of data.
In this work, we demonstrate how transfer learning can be utilized to achieve high-quality results for both detection and classification in the marine environment. We also demonstrate tracking in videos that enables counting and measuring the organisms.