Scene-based nonuniformity correction using a convolutional recurrent neural network
US10929955B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 14, 2019 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | Jun 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for correcting nonuniformity noise in thermal images. The method comprises receiving a current image being part of a stream of thermal images; concatenating the current image from the stream of thermal images with hidden state images; processing, by a first convolutional neural network, the concatenated image to extract a number of feature channels; generating based on the feature channels at least a first multiplicative mask; processing, by a second convolutional neural network, a masked concatenated image to compute a weighting parameter, wherein the masked concatenated image is resulted by applying the first multiplicative mask on the concatenated image; and simulating, using the weighting parameter, an infinite impulse response (IIR)-style updating scheme to estimate the nonuniformity noise in the current image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.