Method and apparatus for training image restoration model, electronic device, and computer-readable storage medium
US12380541B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2021 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | May 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and apparatus for training an image restoration model, an electronic device, and a computer-readable storage medium. The method for training an image restoration model includes: pre-processing training images to obtain a low-illumination image sample set (110); determining, based on low-illumination image samples in the low-illumination image sample set and the image restoration model, a weight coefficient of the image restoration model (120), wherein the image restoration model is a neural network model determined on a U-Net network and a deep residual network; and adjusting the image restoration model according to the weight coefficient, and further training the adjusted image restoration model using the low-illumination image samples until the image restoration model restores parameters of all the low-illumination image samples in the low-illumination image sample set into a preset range (130).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.