Scientists have come up with a solution to convert blurry snaps into high-resolution pictures

A woman uses the camera on a Samsung Galaxy S6 phone during a pre-launch event in Singapore April 10, 2015. Samsung Electronics Co Ltd expects record shipments for its new Galaxy S6 smartphones and said it will struggle to meet demand for the curved-edged version due to production constraints, adding to hopes for a turnaround in mobile sales. REUTERS/Edgar Su - GF10000054628

We all know the frustration that comes with a blurry, pixelated photo which cannot be improved even with a host of apps out there.

Well, worry no more- an Artificial Intelligence solution could soon come to your rescue.

Scientists at Max Planck Institute in Germany have come up with a solution for making high-resolution counterparts of low-quality pictures, and the results impress.

A demonstration of how the technology will work on photos (Courtesy: Max Planck Institute) 

The new software promises to upscale small size images into ones that look almost like high-resolution ones.

Researchers at the German Institute have further developed this kind of technology, labelled as SISR, or single-image super-resolution, to give images a realistic texture when magnified from small to large- through the help of Machine Learning.

So what's the gamechanger?

As per the institute, it is artificial intelligence algorithm which learns from its experience as it goes on sharpening it simultaneously for scaling up the quality of the image.

Instead of present image-enhancing technologies based on pixel-perfect reconstruction, it instead aims for faithful texture synthesis, which makes the difference.

“The algorithm is given the task of upsampling millions of low-resolution images to a high-resolution version and is then shown the original, the 'this-is-how-it-should-be'-image. Notice the difference? OK, then learn from your mistake,” explains Mehdi S.M. Sajjadi, one of the co-developers of the technology called EnhanceNet-PAT, the AI driven technology that makes it possible.