Mr.Anxin ZHAO | Image enhancement | Best Researcher AwardÂ
Professor Xi ‘an University of Science and Technology China
Anxin Zhao, Liang Li, and Shuai Liu are prominent members of the School of Communication and Information Engineering at Xi’an University of Science and Technology. Anxin Zhao is a Professor with notable contributions to network convergence communication. Liang Li is a Master’s student specializing in electronic information. Shuai Liu, also a Professor, works alongside Anxin Zhao in advancing research within the Key Laboratory of Network Convergence Communication.
Profile
Education
🎓 Anxin Zhao holds a distinguished academic position at Xi’an University of Science and Technology, focusing on advanced communication technologies. Liang Li is pursuing his Master’s degree in electronic information within the same institution. Shuai Liu is also an esteemed Professor at Xi’an University of Science and Technology, contributing to the field of communication engineering.
Experience
🔬 Anxin Zhao is deeply involved in research within the School of Communication and Information Engineering and the Key Laboratory of Network Convergence Communication at Xi’an University of Science and Technology. Liang Li is currently engaged in postgraduate studies, gaining expertise in electronic information. Shuai Liu collaborates closely with Anxin Zhao, advancing research projects and contributing to the development of communication technologies.
Research Interest
🔍 The primary research interest of this team is in image enhancement. They are particularly focused on developing advanced methods for image dehazing, aiming to improve image quality under challenging conditions such as haze. Their work involves creating innovative models and networks to enhance image clarity and contrast.
Award
🏆 Best Researcher Award: The team is nominated for the Best Researcher Award for their groundbreaking research in image dehazing and enhancement, showcasing their significant contributions to improving image quality and detection accuracy.
Publication
đź“š The team’s research is published in the journal Sensors, with a notable article on image enhancement:
- “Single Image Defogging Based on Deep Learning” (2023) in Sensors. Read the publication here.