Munich, Germany

Louis Marie Joseph Sugy

This inventor holds 2 USPTO granted patents. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Louis Marie Joseph Sugy. Retrieved from https://idiyas.com/inventor/louis-marie-joseph-sugy

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Louis Marie Joseph Sugy: Image Processing and Computer Vision Patents.

Introduction

Louis Marie Joseph Sugy is an inventor associated with Nvidia Corporation in Munich, Germany. His patent work addresses image processing, including techniques for identifying noise in image data and performing parallel block matching. He is credited with 2 patents.

Latest Patents

“Identifying Noise in Image Data” describes apparatuses, systems, and methods for enabling an image-denoising filter to identify noise within an image. In at least one embodiment, the filter assesses whether multiple concurrent comparisons of pixel depths exceed a threshold value.

“Parallel Block Matching” concerns apparatuses, systems, and techniques for performing block matching. In at least one embodiment, distances to objects in images are calculated based, in part, on overlapping portions of the images.

Career Highlights

Sugy’s listed inventions focus on image analysis and processing. His work on denoising uses pixel-depth comparisons to help distinguish noise, while his block-matching patent describes a parallel approach to calculating object distances from image data.

Collaborations

Sugy is associated with Nvidia Corporation, a company whose work includes computing and image-processing technologies. The available information identifies the company but does not specify particular co-inventors or collaborators for these patents.

Conclusion

Louis Marie Joseph Sugy’s two listed patents reflect contributions to image denoising and parallel block matching, both of which address methods for analyzing visual data.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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