Predicting patch displacement maps using a neural network
US10672164B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2017 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Feb 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/759
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Predicting patch displacement maps using a neural network is described. Initially, a digital image on which an image editing operation is to be performed is provided as input to a patch matcher having an offset prediction neural network. From this image and based on the image editing operation for which this network is trained, the offset prediction neural network generates an offset prediction formed as a displacement map, which has offset vectors that represent a displacement of pixels of the digital image to different locations for performing the image editing operation. Pixel values of the digital image are copied to the image pixels affected by the operation by: determining the vectors pixels that correspond to the image pixels affected by the image editing operation and mapping the pixel values of the image pixels represented by the determined offset vectors to the affected pixels. According to this mapping, the pixel values of the affected pixels are set, effective to perform the image editing operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.