This inventor holds 1 USPTO granted patent. Top assignee: Huawei Technologies Co., Limited. Active years: 2024.
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
Title: Hao Guan - Innovator in Image Processing Technology
Introduction
Hao Guan is a notable inventor based in London, GB. He has made significant contributions to the field of image processing, particularly in noise estimation techniques. His innovative work has led to the development of a patented technology that enhances image quality by effectively estimating noise.
Latest Patents
Hao Guan holds a patent for a noise estimation method that involves an image processing device. This device includes at least one processor and one or more memories that store programming instructions. The technology estimates noise in an image represented by a set of pixels, where each pixel has an associated value across one or more channels. The process involves using a first trained model to detect stochastic noise and a second trained model to identify extreme pixel values. The results from both models are combined to create an aggregated noise estimate, significantly improving image processing capabilities.
Career Highlights
Hao Guan is currently employed at Huawei Technologies Co., Limited, where he continues to push the boundaries of image processing technology. His work has garnered attention for its practical applications in various industries, including telecommunications and digital imaging.
Collaborations
Hao has collaborated with esteemed colleagues such as Gregory Slabaugh and Liu Liu. Their combined expertise has contributed to the advancement of innovative solutions in the field of image processing.
Conclusion
Hao Guan's contributions to noise estimation in image processing exemplify the impact of innovative thinking in technology. His patented methods not only enhance image quality but also pave the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
