Taipei, Taiwan

Yan Chen Lu

This inventor holds 1 USPTO granted patent. Top assignee: Vatics Inc.. Active years: 2013.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yan Chen Lu. Retrieved from https://idiyas.com/inventor/yan-chen-lu-3vcp2sw8

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


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations by Yan Chen Lu in Digital Image Processing

Introduction

Yan Chen Lu is an accomplished inventor based in Taipei County, Taiwan. He has made significant contributions to the field of digital image processing. His innovative approach focuses on reducing digital image noises, which is crucial for enhancing image quality in various applications.

Latest Patents

Yan Chen Lu holds a patent for a method and electronic device aimed at reducing digital image noises. The patent describes a systematic approach that involves selecting a pixel from a digital image and defining surrounding pixels as adjacent pixels. The method computes a weighted average of these pixels to determine a new value for the target pixel, effectively reducing noise in the image. This innovative technique showcases his expertise in image processing technology.

Career Highlights

Yan Chen Lu is currently employed at Vatics Inc., where he continues to develop cutting-edge technologies in digital imaging. His work at the company reflects his commitment to advancing the field and improving image processing techniques.

Collaborations

Yan collaborates with An Chi Hu, who is also a key contributor to their projects. Their teamwork enhances the innovative capabilities of their research and development efforts.

Conclusion

Yan Chen Lu's contributions to digital image processing through his patented methods demonstrate his innovative spirit and technical expertise. His work continues to influence the field positively.

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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