Hangzhou, China

Beinan Yu

This inventor holds 2 USPTO granted patents. Top assignee: Zhejiang University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Beinan Yu. Retrieved from https://idiyas.com/inventor/beinan-yu

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


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Beinan Yu: Innovator in Image Processing Technology

Introduction

Beinan Yu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of image processing, particularly in the development of methods that enhance the quality of color images.

Latest Patents

One of his notable patents is titled "Joint denoising and demosaicking method for color RAW images guided by monochrome images." This innovative method involves constructing a synthetic image dataset from a monochrome-color binocular camera system for training and testing network modules. The process includes generating an aligned guidance image using structural correlations between monochrome and color images, which ultimately guides the joint denoising and demosaicking of color RAW images. This technique ensures the accuracy of color representation while effectively transferring the structure of the guidance image.

Career Highlights

Beinan Yu is affiliated with Zhejiang University, where he continues to advance research in image processing technologies. His work has garnered attention for its practical applications in improving image quality in various digital platforms.

Collaborations

He has collaborated with notable colleagues, including Huiliang Shen and Xiongwei Liu, contributing to the advancement of their shared research interests.

Conclusion

Beinan Yu's innovative approaches in image processing exemplify the impact of research and development in enhancing digital imaging technologies. His contributions are paving the way for future advancements in this critical field.

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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