Patent · US Active

Image correction using a deep generative machine-learning model

US10387765B2 · kind B2 · utility

15Cited by

1References

20Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Boris Mailhe · Plainsboro, US
Hasan Ertan Cetingul · Fulton, US
Benjamin L. Odry · West New York, US
Xiao Chen · Somerville, US
Mariappan S. Nadar · Plainsboro, US

Key dates

Filing date	May 16, 2017
Grant date	Aug 20, 2019
Priority date	—
Expiry date	Nov 25, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30004
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

For correction of an image from an imaging system, a deep-learnt generative model is used as a regularlizer in an inverse solution with a physics model of the degradation behavior of the imaging system. The prior model is based on the generative model, allowing for correction of an image without application specific balancing. The generative model is trained from good images, so difficulty gathering problem-specific training data may be avoided or reduced.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.