System and method for generating bokeh image for DSLR quality depth-of-field rendering and refinement and training method for the same
US11823353B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2020 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Feb 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes processing, using at least one processor of an electronic device, multiple reference images of a scene using a first convolutional neural network (CNN) to generate a confidence map and a disparity map. The method also includes generating, using the at least one processor, an initial Bokeh image based on the disparity map and the reference images using a depth-of-field (DoF) renderer. The method further includes refining, using the at least one processor, the initial Bokeh image using a second CNN to generate a refined Bokeh image, where the second CNN uses the confidence map, the disparity map, and the reference images to generate the refined Bokeh image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.