This inventor holds 2 USPTO granted patents. Top assignee: Nanjing University. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Innovations of Xiaowen Li
Introduction
Xiaowen Li is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of imaging technology, particularly in hyperspectral imaging and light field imaging. With a total of 2 patents, his work showcases innovative methods that enhance image quality and data accuracy.
Latest Patents
One of Xiaowen Li's latest patents is a "Snapshot hyperspectral imaging method with de-blurring dispersed images." This method involves several steps, including selecting reference wavelengths for calibration, estimating relative dispersion, and generating a dispersion matrix. The process culminates in capturing and deblurring images to obtain spatially aligned spectral data.
Another notable patent is the "Frequency domain-based method for removing periodic noise from reconstructed light field image." This method focuses on acquiring a light field image, calibrating imaging centers, and transforming the image to the frequency domain. It effectively removes high-frequency periodic noise, resulting in a clearer reconstructed light field image.
Career Highlights
Xiaowen Li is affiliated with Nanjing University, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in various imaging technologies.
Collaborations
Xiaowen Li collaborates with notable colleagues, including Xun Cao and Xia Hua. Their combined expertise contributes to the development of cutting-edge imaging solutions.
Conclusion
Xiaowen Li's contributions to imaging technology through his innovative patents reflect his dedication to advancing the field. His work not only enhances image quality but also paves the way for future developments in hyperspectral and light field imaging.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
