Tucson, AZ, United States of America

Yu Wang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Raytheon Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu Wang. Retrieved from https://idiyas.com/inventor/yu-wang-2zdutoxa

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yu Wang and Subpixel Image Resolution

Introduction

Yu Wang is an inventor based in Tucson, Arizona, whose patent work includes a method for enhancing image resolution to the subpixel level. The supplied information identifies Raytheon Company as his employer.

Latest Patents

Wang is associated with one patent, titled “Enhancement of Image Resolution to Subpixel Level with Nearest Neighbor Pixel Deconvolution (NNPD).” The method uses point spread function (PSF) data associated with an input image to determine subpixel PSF data. It then generates a filled subpixel sparse image from the input image’s pixels and applies nearest neighbor pixel deconvolution to produce an enhanced subpixel image with increased resolution. Wang’s reported portfolio includes 1 patent.

Career Highlights

The described invention focuses on improving image resolution beyond the original pixel level. Its approach combines subpixel PSF data, a filled subpixel sparse image, and nearest neighbor pixel deconvolution.

Collaborations

The supplied information names Jonathan Aaron Cain as Wang’s coworker. Both are associated with Raytheon Company.

Conclusion

Yu Wang’s reported patent work centers on a subpixel image-resolution method designed to generate enhanced images through nearest neighbor pixel deconvolution.

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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