Model based document image enhancement
US12045967B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2023 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Aug 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for model based document image enhancement. Instead of requiring paired dirty and clean images for training a model to clean document images (which may cause privacy concerns), two models are trained on the unpaired images such that only the dirty images are accessed or only the clean images are accessed at one time. One model is a first implicit model to translate the dirty images from a source space to a latent space, and the other model is a second implicit model to translate the images from the latent space to clean images in a target space. The second implicit model is trained based on translating electronic document images in the target space to the latent space. In some implementations, the implicit models are diffusion models, such as denoising diffusion implicit models based on solving ordinary differential equations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.