Skip to Content

An innovative camera-filter technology promises crisper photos in poor light

A year from now, capturing a crisp, clear image of a candlelit birthday party could be a piece of cake – even with a camera phone.

Eastman Kodak Co. said Thursday it has developed a color-filter technology that at least doubles the sensitivity to light of the image sensor in every digital camera, enabling shutterbugs to take better pictures in poor light.

”Low light can mean trying to get a good image indoors of your kid blowing out the birthday candles. It can mean you want to take a photograph on a street corner in Paris at midnight,” said Chris McNiffe, general manager of the photography company’s image sensor business. ”We’re talking about a 2-to-4-times improvement in (light) sensitivity.”

Analyst Chris Chute does not doubt that the new filter system, intended to supplant an industry-standard filter pattern designed by Kodak scientist Bryce Bayer in 1976, represents a breakthrough in boosting photo quality – especially when light conditions are not ideal.

”It’s often the most simple concepts that can have the most profound impact,” said Chute of IDC, a market research firm near Boston. ”This could be revolutionary in terms of just changing that very simple filter on top of the sensor and basically allowing companies to use it in all different kinds of cameras.”

Kodak expects to provide samples of its new technology to a variety of camera manufacturers in the first quarter of 2008. The technology is likely to be incorporated first in mass-market point-and-shoot cameras and camera-equipped mobile phones beginning sometime next year.

”Typically new features like this would be more likely to show up in high-end products and then trickle down,” said analyst Steve Hoffenberg of Lyra Research Inc. ”But I think the biggest potential benefit of this may come in the camera phone environment. Camera phones are using smaller sensors to begin with and smaller sensors generally mean smaller pixels, which means lower sensitivity.”

When the shutter opens on a digital camera, an image is projected onto the sensor, which converts light into an electric charge. Most sensors use the Bayer mask: Half of the millions of cells on a checkerboard grid are filtered to collect green light and a quarter each are filtered to let through red and blue light. A computer chip then reconstructs a full color signal for each pixel in the final image.

The new method, which has been under development for more than five years, adds ”panchromatic” cells that are sensitive to all wavelengths of visible light and collect a larger amount of light striking the sensor. Tailoring software algorithms to this unique new pattern enables faster shutter speeds, which reduces blurring when capturing a moving subject, McNiffe said.

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.