This inventor holds 3 USPTO granted patents. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2008-2009.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008-2009
Title: Yao Nie - Innovator in Image Processing Technologies
Introduction
Yao Nie is a prominent inventor based in Newark, DE, known for his contributions to image processing technologies. With a total of three patents to his name, he has made significant advancements in reducing artifacts in images, enhancing the quality of visual data.
Latest Patents
Yao Nie's latest patents include a "System and method for reducing ringing artifacts in images." This innovative method reduces artifacts in an input image by generating a variance image and partitioning the input image into multiple blocks of pixels. Each block is classified into categories such as smooth, texture, and edge, allowing for targeted filtering. Another notable patent is the "System and method for filtering artifacts in images," which involves partitioning an image into blocks, identifying edge blocks, and applying a variance-dependent filter to enhance pixel quality.
Career Highlights
Yao Nie is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to develop cutting-edge technologies in image processing. His work has been instrumental in improving the clarity and accuracy of images used in various applications.
Collaborations
Yao has collaborated with notable colleagues, including Hao-Song Kong and Anthony Vetro, contributing to a dynamic research environment that fosters innovation and creativity.
Conclusion
Yao Nie's work in image processing exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing image quality, making significant strides in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
