Image distortion correction method and device and electronic device
US11250546B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2018 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Jun 18, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present application provide a method, apparatus, and electronic device for eliminating distortion of a distorted image. Side information components of a distorted image are generated. The distorted image is resulted from image processing on an original image. Side information components represent distortion features of the distorted image with respect to original image. Distorted image color components of the distorted image and the side information components are input into a pre-established convolutional neural network model for convolution filtering to obtain distortion-eliminated image color components. The convolutional neural network model is obtained through training based on a preset training set. The training set comprises original sample images, distorted image color components of multiple distorted images corresponding to each of the original sample images, and side information components of each of the distorted images. Thereby, a CNN-based distortion elimination process different from related art is provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.