Saturday, May 26, 2018
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
FBI Says Reboot Your Router to Stop Malware Infecting 500k Devices
ASUS Chromebox 3 Series Coming in July
U.S. to Impose Fine, New Management to ZTE to Keep it in Business
Facebook Keeps Working on In-house Chip Designs
AMD Increased GPU Market Share in Q1
Seagate's New VR Power Drive Adds Capacity and Extends Battery Life of the HTC VIVE Focus VR Headset
Samsung Should Pay Apple $539 million in Patent Retrial
Amazon Admits Alexa Eavesdropped and Shared Conversation
Active Discussions
Which of these DVD media are the best, most durable?
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
Help make DVDInfoPro better with dvdinfomantis!!!
menu making
Optiarc AD-7260S review
cdrw trouble
 Home > News > General Computing > AI Soft...
Last 7 Days News : SU MO TU WE TH FR SA All News

Wednesday, November 01, 2017
AI Software Successfully Upscales Low Resolution Images to HD


Scientists at the Max Planck Institute for Intelligent Systems in Tubingen utilize the Artificial Intelligence of a software to create a high definition version of a low resolution image.

While the pixel-perfectness is being sacrificed, the reward is a better result.

Technology to create a large size from a low-resolution image is known as the single image super-resolution or SISR technology. SISR has been studied for decades, but with limited results. The software adds extra pixels and fills them with the average "look" of all the surrounding pixels. The result is blurriness. Researchers at the Max Planck Institute of Intelligent Systems propose a new approach to give images a realistic texture when magnified from small to large - through the help of Machine Learning. Artificial Intelligence is at play, where the algorithm for upsampling the image learns from experience in sharpening its look.

The learning process is much like that of a human: practice makes the master. "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, who together with Dr. Michael Hirsch and Prof. Dr. Bernhard Scholkopf, Director of the Empirical Inference Department at the Max Planck Institute for Intelligent Systems in Tubingen, developed the EnhanceNet-PAT technology. Once EnhanceNet-PAT is trained, it no longer needs original photos.

When EnhanceNet-PAT is put to work, according to the researchers, the technology is more efficient than any other SISR technology currently on the market. The difference lies in the pretense of wanting to be pixel-perfect. In contrast to existing algorithms, EnhanceNet-PAT gives up on pixel-perfect reconstruction, but rather aims for faithful texture synthesis. By being capable of detecting and generating patterns in a low resolution image and of applying these patterns in the upsampling process, EnhanceNet-PAT thinks how the bird's feathers should look like and adds extra pixels to the low-resolution image accordingly. You could say the technology created its own reality. For most viewers, the result is very much like the original photo. The picture of the bird is good to adorn the photo album.



Previous
Next
Nintendo's Black Friday Deals        All News        HP Completes $1.05 Billion Buy Out of Samsung Printer Business
Qualcomm Chip Business Stays Strong     General Computing News      HP Completes $1.05 Billion Buy Out of Samsung Printer Business

Get RSS feed Easy Print E-Mail this Message

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2018 - All rights reserved -
Privacy policy - Contact Us .