US Patent Issued to CYENS CoE on July 28 for "Systems and methods of optimized deep learning for image reconstruction" (Cypriot Inventors)

ALEXANDRIA, Va., July 28 -- United States Patent no. 12,694,472, issued on July 28, was assigned to CYENS CoE (Nicosia, Cyprus).

"Systems and methods of optimized deep learning for image reconstruction" was invented by Asfa Jamil (Nicosia, Cyprus) and Alessandro Artusi (Nicosia, Cyprus).

According to the abstract* released by the U.S. Patent & Trademark Office: "A deep learning network can have the following elements arranged in sequence: a convolutional block, a first residual block (RB), a first element-wise adder, a second RB, a second element-wise adder, and an upsampling unit. At least one processor can perform processing comprising generating a super resolution image by processing, with the deep learning network, an image having a r...