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Oceanographers created an algorithm that transforms underwater photos and reveals their amazing true colors

#artificialintelligence

Scientists have created a computer algorithm that can take an underwater photograph and automatically readjust its colors to compensate for the distorting effect of water on light. Researchers Derya Akkaynak and Tali Trebitz started work on the technology – called Sea-thru -- more than three years ago. Akkaynak told Business Insider via email that Sea-thru's mission is to enable huge, artificial intelligence-powered analysis of underwater images. The algorithm effectively adjusts underwater images to make them look like they were taken in broad daylight, making them easier for AI software to analyze. "On underwater images, AI methods generally perform poorly or inconsistently, because water degrades images too severely for automated analysis," she said.


Underwater Color Restoration Using U-Net Denoising Autoencoder

arXiv.org Artificial Intelligence

Visual inspection of underwater structures by vehicles, e.g. remotely operated vehicles (ROVs), plays an important role in scientific, military, and commercial sectors. However, the automatic extraction of information using software tools is hindered by the characteristics of water which degrade the quality of captured videos. As a contribution for restoring the color of underwater images, Underwater Denoising Autoencoder (UDAE) model is developed using a denoising autoencoder with U-Net architecture. The proposed network takes into consideration the accuracy and the computation cost to enable real-time implementation on underwater visual tasks using end-to-end autoencoder network. Underwater vehicles perception is improved by reconstructing captured frames; hence obtaining better performance in underwater tasks. Related learning methods use generative adversarial networks (GANs) to generate color corrected underwater images, and to our knowledge this paper is the first to deal with a single autoencoder capable of producing same or better results. Moreover, image pairs are constructed for training the proposed network, where it is hard to obtain such dataset from underwater scenery. At the end, the proposed model is compared to a state-of-the-art method.


7 monitors photo editors will love

Mashable

It's never been easier to take phenomenal photos. As smartphone cameras improve, and professional-quality lenses abound at affordable prices, your food, kittens, tropical landscapes, and #nofilter selfies have never looked better. But if you want to take your photo-editing game to the next level, whether you're a professional photographer, designing posters for work, or photoshopping inappropriate things into Trump's mouth, the right monitor can make a huge difference in the quality of your work. If you're serious about producing great photos, you'll want a monitor with clean, accurate colors, a display large enough to fit all the windows you need, and the appropriate settings and calibration tools for the work you're doing. SEE ALSO: Samsung's 49-inch monitor will make you hate your puny screen Monitors vary widely in quality and price.


This researcher created an algorithm that removes the water from underwater images

#artificialintelligence

Sign in to report inappropriate content. 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, has figured out a way to recover the colorful brilliance of the deep.


Ancient underwater forest found in US

BBC News

An underwater forest found off the coast of Alabama could provide valuable insights into climate change and rising sea levels.