Deep unfolding algorithm for efficient image denoising under varying noise conditions
US10043243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2016 |
| Grant date | Aug 7, 2018 |
| Priority date | — |
| Expiry date | Aug 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for denoising image data includes a computer system receiving an input image comprising noisy image data and denoising the input image using a deep multi-scale network comprising a plurality of multi-scale networks sequentially connected. Each respective multi-scale network performs a denoising process which includes dividing the input image into a plurality of image patches and denoising those image patches over multiple levels of decomposition using a threshold-based denoising process. The threshold-based denoising process denoises each respective image patch using a threshold which is scaled according to an estimation of noise present in the respective image patch. The noising process further comprises the assembly of a denoised image by averaging over the image patches.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.