Image processing method and device, training method of neural network, image processing method based on combined neural network model, constructing method of combined neural network model, neural network processor, and storage medium
US11954822B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2020 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Aug 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, where N is a positive integer and N>2, performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and preforming merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.