Deep learning based image enhancement for additive manufacturing
US12217402B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 26, 2021 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Feb 5, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P10/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is provided for enhancing image resolution for sequences of 2-D images of additively manufactured products. For each of a plurality of additive manufacturing processes, the process obtains a respective plurality of sequenced low-resolution 2-D images of a respective product during the respective additive manufacturing process and obtains a respective high-resolution 3-D image of the respective product after completion of the respective additive manufacturing process. The process selects tiling maps that subdivide the low-resolution 2-D images and the high-resolution 3-D images into low-resolution tiles and high-resolution tiles, respectively. The process also builds an image enhancement generator iteratively in a generative adversarial network using training inputs that includes ordered pairs of low-resolution and high-resolution tiles. The process stores the image enhancement generator for subsequent use to enhance sequences of low-resolution 2-D images captured for products during additive manufacturing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.