US Patent Issued to Intel on May 13 for "Adaptive deep learning model for noisy image super-resolution" (Chinese Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,842, issued on May 13, was assigned to Intel Corp. (Santa Clara, Calif.).

"Adaptive deep learning model for noisy image super-resolution" was invented by Wenyi Tang (Beijing) and Xu Zhang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments described herein are generally directed to an end-to-end trainable degradation restoration network (DRN) that enhances the ability of a super-resolution (SR) subnetwork to deal with noisy low-resolution images. An embodiment of a method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DR...