MIT scientists develop a way to recover details from blurry images

side view of pedestrains rush in Hong Kong

A group of MIT researchers have developed a way to recover lost details from images and create clear copies of motion-blurred parts in videos. Their creation, an algorithm called a “visual deprojection model,” is based on a convolutional neural network. They trained that network by feeding it pairs of low-quality images and their high-quality counterparts, so it could learn how the latter can produce blurry, barely visible footage.

When the model is used to process previously unseen low-quality images with blurred elements, it analyzes them to figure out what in the video could’ve produced the blur. It then synthesizes new images that combine data from both the clearer and blurry parts of a video. Say, you have footage of your yard with something moving on screen — the technology can create a version of that video that clearly shows the movement’s sources.

During the team’s tests, the model was able to recreate 24 frames of a video showing a particular person’s gait, their size and the position of their legs. Before you get excited and think that it could one day make CSI’s zoom and enhance a reality, the researchers are more focused on refining the technology for medical use. They believe it could be used to convert 2D images like X-rays into 3D images with more information like CT scans at no additional cost — 3D scans are a lot more expensive — making it especially valuable for developing nations.

“If we can convert X-rays to CT scans, that would be somewhat game-changing. You could just take an X-ray and push it through our algorithm and see all the lost information.”




The Invention of Virtual 3D Ultrasound

Virtual 3D Ultrasound

It sounds like science fiction, and perhaps it is: Researchers have found a way to generate invisible 3-D shapes in the air that can be felt by human hands. The technology, whose main use case is letting surgeons physically “feel” anomalies such as tumors in CT scans, could also revolutionize everything from advertising to architecture.

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First Detailed Map Of The Human Brain

First Detailed Map Of The Human Brain

Scientists used a new type of brain imaging called diffusion spectrum imaging, along with mathematical analysis,
to build a map of the cortical architecture of the human brain, shown here.

The first high-resolution map of the human cortical network reveals that the brain has its own version of Grand Central Station, a central hub that is structurally connected to many other parts of the brain.

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