Google has a new tool to help you be as careful as possible with your mobile data plan.
The tech giant’s new technology, dubbed RAISR, uses machine learning to produce high-quality versions of low-resolution images.
“Traditionally, viewing images at high resolution has also meant using lots of bandwidth, leading to slower loading speeds and higher data costs. For many folks, especially those where data is pricey or the internet is spotty, this is a significant concern,” Google said in a blog post. “By using RAISR to display some of the large images on Google+, we’ve been able to use up to 75 percent less bandwidth per image we’ve applied it to.”
Once you download a low-resolution image to your Smartphone, RAISR is immediately applied to recreate details that are of comparable to the quality of the original high-resolution image. The result is a conversion done in real-time that gives you a great-looking photo without eating up a pile of data.
RAISR was trained, using one low-quality and one high-quality image, to find filters to recreate the high-quality image using the low-quality version. The filters are applied selectively to each pixel of the low-res image, resulting in a quality photo.
“RAISR produces results that are comparable to or better than the currently available super-resolution methods, and does so roughly 10 to 100 times faster, allowing it to be run on a typical mobile device in real-time,” Google said. “Furthermore, our technique is able to avoid recreating the aliasing artifacts that may exist in the lower resolution image.”
Google said it is applying RAISR to one billion-plus images each week which, in turn, reduces users’ total bandwidth by about one-third. The tech firm said it has also started to roll out the use of the technology for high-resolution images when they appear in the streams of a subset of Android devices.
The technology will be rolled out more broadly in the coming weeks.
Jennifer Cowan is the Managing Editor for SiteProNews.
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