New know-how makes it potential to see clearly by way of murky water


The researchers used a conventional polarization imaging setup to picture numerous objects submerged within the turbid water. Combining this straightforward setup with a brand new algorithm produced clear underwater photos with out prior data or a background area. Credit: Haofeng Hu, Tianjin University

Researchers have developed a brand new technique that may robotically produce clear photos by way of murky water. The new know-how may very well be helpful for trying to find drowning victims, documenting submerged archaeological artifacts and monitoring underwater farms.

Imaging clearly underwater is extraordinarily difficult as a result of the water and the particles in it are likely to scatter mild. But, as a result of scattered mild is partially polarized, imaging utilizing a digital camera that’s delicate to polarization can be utilized to suppress scattered mild in underwater images.

In article ad

“Our new method overcomes the limitations of traditional polarimetric underwater imaging, laying the groundwork for taking this method out of the lab and into the field,” stated analysis staff chief Haofeng Hu from Tianjin University in China. “Unlike previous methods, there’s no requirement for the image to include a background area to estimate the backscattered light.”

In The Optical Society (OSA) journal Optics Express, the researchers reveal their technique’s capability to reinforce picture distinction whereas preserving picture particulars with out introducing appreciable noise. The new technique even works in dense turbid water, which is so cloudy it’s virtually unimaginable to see by way of.

“Our polarimetric imaging technique can enhance the image quality in numerous scattering media, not simply turbid water,” stated Hu. “We think the principle we used might be extendable to imaging through other scattering media such as fog, haze and smoke.”

Practical underwater imaging

Traditional approaches to underwater imaging use both prior data of the imaging space or the background of a picture to calculate and take away scattered mild. These strategies have restricted utility within the area as a result of they sometimes require guide processing, photos don’t all the time have seen backgrounds, and prior info just isn’t all the time accessible.

To overcome these challenges, the researchers mixed a conventional polarized imaging setup with a brand new algorithm that robotically finds the optimum parameters to suppress the scattering light. This not solely considerably improves picture distinction to attain clear imaging however can be utilized with none prior data of the imaging space and for photos with or with out background areas.

“Our approach represents a distinct improvement that could enable practical application of underwater polarimetric imaging beyond the ‘ideal’ underwater environment found in the laboratory,” stated Hu. “It could be adapted for a variety of applications in which clear vision is critical but where image quality is usually poor due to turbid water.”

Seeing by way of murky water

The researchers examined their new approach by buying photos in turbid liquid mixtures within the laboratory. They began with a clear tank full of water after which blended in several quantity of milk to imitate an underwater setting with totally different turbidities. They imaged numerous objects made out of quite a lot of supplies, resembling wooden, plastic and ceramic.

“Our experimental results show that our method has distinct advantages in terms of suppressing scattering, recovering details and reducing noise when imaging different objects in water with various turbidities,” stated Hu. “While background regions are often not visible in dense turbid water, our method was able to accomplish clear vision in this environment.”

Now that the tactic has been demonstrated within the lab, the researchers plan to check it in a sensible underwater setting resembling within the ocean. They additionally plan to enhance the imaging distances to make it extra helpful in a real-world underwater setting.

Although counter-intuitive, noise can help image reconstruction

More info:
Hongyuan Wang et al, Automatic underwater polarization imaging with out background area or any prior, Optics Express (2021). DOI: 10.1364/OE.434398

New know-how makes it potential to see clearly by way of murky water (2021, September 16)
retrieved 16 September 2021

This doc is topic to copyright. Apart from any truthful dealing for the aim of personal research or analysis, no
half could also be reproduced with out the written permission. The content material is supplied for info functions solely.

Source link

Leave a reply

Please enter your comment!
Please enter your name here