Intelligent portrait photography enhancement system
US12205249B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 2, 2022 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Aug 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices, methods, and non-transitory program storage devices are disclosed to provide enhanced synthetic Shallow Depth of Field (SDOF) images, e.g., by using information from images captured by image camera devices and one or more Deep Neural Networks (DNNs) trained to determine how much blurring should be applied to pixels in a mask region (e.g., a region of pixels having an indeterminate foreground or background status and threshold level of gradient magnitude) within an image, given context from surrounding pixels in a reference image and/or an unenhanced synthetic SDOF image. To train the DNNs, various sets of ground truth DSLR images of static scenes, captured at varying aperture settings, may be analyzed. Preferably, such static scenes cover many examples of human subjects (or other objects of interest) with different amounts of scene foreground/background separation, lighting conditions, and various kinds of hair, fabric, or other fine-grained details occurring near their foreground/background transition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.