This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Heike Carolus Ruppertshofen and Machine-Learned Edge Restoration.
Introduction
Heike Carolus Ruppertshofen is an inventor associated with Ahrensburg, Germany, and Koninklijke Philips N.V. Her patent work addresses image-edge restoration after digital subtraction or material substitution.
Latest Patents
Ruppertshofen is associated with 1 patent: “Machine learning of edge restoration following contrast suppression/material substitution.” The invention proposes automatically restoring image edges that have been altered through digital suppression or material substitution. It learns the appearance of edges from unmodified image locations using an unsupervised, non-analytical approach, then applies that learned appearance to the artificially cleansed edges.
Career Highlights
The patent reflects work at the intersection of machine learning and image processing. Its goal is to make restored edges resemble edges in unmodified parts of an image.
Collaborations
Rafael Wiemker and Liran Goshen are identified as Ruppertshofen’s coworkers. The patent is associated with Koninklijke Philips N.V.
Conclusion
Heike Carolus Ruppertshofen’s patent focuses on using machine learning to improve the restoration of image edges after digital alteration.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile