UPDATED 20:40 EDT / JANUARY 16 2017

EMERGING TECH

Google uses machine learning to deliver high-quality images using less data

Google Inc. has rolled out a new imaging technique that cuts down on bandwidth required to view an image by 75 percent.

For now, the technique, called Rapid and Accurate Image Super Resolution, or RAISR for short, is being used only on the little-used Google+ social sharing service. But Google signaled that it will be rolled out over time to other Google services.

The method takes a small snapshot of an image and “upscales” it — that is, it produces an image of larger size with more pixels and higher image quality from a lower-quality image. RAISR differs from traditional upscaling techniques that deliver blurry images, in that it uses machine learning to make an image look like a high-quality equivalent.

According to a paper released by Google last November, it does this by using “a set of pre-learned filters on the image patches, chosen by an efficient hashing mechanism,” then blending the originally upscaled image with the filtered version. Those filters are based on trained “edge” features, such as brightness or textures, found in small patches of images.

Google claims that RAISR can deliver results that are comparable or better than other upscaling methods and do it between 10 to 100 times faster, allowing it be run on a mobile device in real time.

“Super-resolution technology, using one or many frames, has come a long way,” Google Research Scientist Peyman Milanfar said in a blog post. “Today, the use of machine learning, in tandem with decades of advances in imaging technology, has enabled progress in image processing that yields many potential benefits. For example, in addition to improving digital ‘pinch to zoom’ on your phone, one could capture, save, or transmit images at lower resolution and super-resolve on demand without any visible degradation in quality, all while utilizing less of mobile data and storage plans.”

The point made by Milanfar is worth repeating because this is the biggest advantage of the RAISR platform: Smaller images load more quickly and use less data and storage, increasingly valuable in an age where unlimited data plans are becoming more rare.

Although relatively few people use Google+, Google said it plans “to roll this technology out more broadly” in the coming weeks. Google wasn’t specific about where, but obvious potential applications include YouTube stills, Google Photos and even search results.

Image courtesy of Google

A message from John Furrier, co-founder of SiliconANGLE:

Your vote of support is important to us and it helps us keep the content FREE.

One click below supports our mission to provide free, deep, and relevant content.  

Join our community on YouTube

Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.

“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy

THANK YOU