Skip to Content

Enhancing Video for the Visually Impaired

Researchers are using algorithms that can better the picture quality for people with macular degeneration.
December 11, 2008

Eli Peli, a researcher at the Schepens Eye Research Institute in Boston, is developing software that can enhance the quality of a TV image for people with visual impairments such as macular degeneration–a disease that makes images on the screen seem blurred and distorted.

Peli’s algorithms increase the contrast of a picture over spatial frequencies that are easier for a visually impaired person to see. In his lab a remote control can be used to adjust the contrast on a 32 inch television screen connected to a PC, creating a specially-enhanced picture.

“It’s simple,” Peli says, showing me CNN, the movie Shrek and a basketball game all in split-screen mode. In each clip he points out the difference in resolution, even for a person with normal eyesight. In the image on the right, details like grass, flowers and a person’s facial features are much clearer than in the one on the left. Peli, who is also a professor of ophthalmology at Harvard Medical School, expects a grant from Analog Devices in the new year. This company has been testing his software and Peli says it is eager to build it into its hardware. He explains his work and demonstrates the system in the video below.

Video by Brittany Sauser

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.