Computational-complexity adaptive method and system for transferring low dynamic range image to high dynamic range image
US9697592B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2015 |
| Grant date | Jul 4, 2017 |
| Priority date | — |
| Expiry date | Feb 11, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a method for converting a low dynamic range (LDR) image to a high dynamic range (HDR) image, including obtaining an input LDR image; and in an HDR image database, selecting one or more HDR images that match the input LDR image as candidate images. Further, the candidate images are warped according to a spatial correspondence between the candidate images and the input LDR image. The input LDR image is decomposed to an illumination component and a texture component. The illumination component and the texture component are reconstructed respectively based on the warped candidate images. The reconstructed illumination component and the reconstructed texture component are combined to produce an output HDR image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.