Multi-band YCbCr locally-adaptive noise modeling and noise reduction based on scene metadata
US9667842B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2014 |
| Grant date | May 30, 2017 |
| Priority date | — |
| Expiry date | Oct 22, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20048
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing locally-adaptive noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band locally-adaptive approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models developed for both luma and chroma channels by measurements taken for multiple frequency bands, in multiple patches on the ColorChecker chart, and at multiple gain levels, in order to develop a simple yet robust set of models that may be tuned off-line a single time for each camera and then applied to images taken by such cameras in real-time without excessive processing requirements and with satisfactory results across illuminant types and lighting conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.