System and method for end-to-end differentiable joint image refinement and perception
US12112248B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 16, 2023 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Oct 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20182
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and method for end-to-end differentiable joint image refinement and perception are provided. A learning machine employs an image acquisition device for acquiring a set of training raw images. A processor determines a representation of a raw image, initializes a set of image representation parameters, defines a set of analysis parameters of an image analysis network configured to process the image's representation, and jointly trains the set of representation parameters and the set of analysis parameters to optimize a combined objective function. A module for transforming pixel-values of the raw image to produce a transformed image comprising pixels of variance-stabilized values, a module for successively performing processes of soft camera projection and image projection, and a module for inverse transforming the transformed pixels are disclosed. The image projection performs multi-level spatial convolution, pooling, subsampling, and interpolation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.