Patent №
US 9,760,977
Granted
2017-09-12
Filed 2015
Owner
THOMSON LICENSING
Lab
—
AI components
2
vision · kr
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14780549
Known methods for generating super-resolved images from single input images have various disadvantages. An improved method for generating a super-resolved image from a single low-resolution input image comprises up-scaling the input image to generate an initial version of the super-resolved image, searching, for each patch of the low-resolution input image, similar low-resolution patches in first search windows within down-sampled versions of the input image, and determining, in less down-sampled versions of the input image, high-resolution patches that correspond to the similar low-resolution patches. The determined high-resolution patches are cropped, a second search window is determined in the initial version of the super-resolved image, and a best-matching position for each cropped high-resolution patch is searched within the second search window. Finally, each cropped high-resolution patch is added to the super-resolved image at its respective best-matching position.
AI classification
Ownership
THOMSON LICENSING
assignment · 432260588
Assignors
DEAMO, ALBERTO, KOCHALE, AXEL, MARCOS, JORDI SALVADOR
On an employer assignment, the assignors are typically the inventors.