Deep residual network for color filter array image denoising
US11676248B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jan 23, 2020 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Jan 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20224
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Described herein are embodiments of a deep residual network dedicated to color filter array mosaic patterns. A mosaic stride convolution layer is introduced to match the mosaic pattern of a multispectral filter arrays (MSFA) or a color filter array raw image. Embodiments of a data augmentation using MSFA shifting and dynamic noise are applied to make the model robust to different noise levels. Embodiments of network optimization criteria may be created by using the noise standard deviation to normalize the L1 loss function. Comprehensive experiments demonstrate that embodiments of the disclosed deep residual network outperform the state-of-the-art denoising algorithms in MSFA field.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.