Adobe Inc.
Digital image defect identification and correction

Last updated:

Abstract:

Digital image defect identification and correction techniques are described. In one example, a digital medium environment is configured to identify and correct a digital image defect through identification of a defect in a digital image using machine learning. The identification includes generating a plurality of defect type scores using a plurality of defect type identification models, as part of machine learning, for a plurality of different defect types and determining the digital image includes the defect based on the generated plurality of defect type scores. A correction is generated for the identified defect and the digital image is output as included the generated correction.

Status:
Grant
Type:

Utility

Filling date:

14 Mar 2017

Issue date:

20 Oct 2020