Papers
2
Total Citations
9
H-Index
2
About
Haibo Wu’s research focuses on computer vision, embedded systems, and data management, with a particular emphasis on improving image quality under challenging conditions and enabling real-time industrial monitoring. In one of his most cited works, “An Illumination Compensation Method for Images under Variable Lighting Condition,” Wu developed a two-step algorithm that first models a camera’s nonlinear response to dynamic illumination, then reconstructs an image with a wider dynamic range—a contribution that has garnered 5 citations and offers practical solutions for variable-lighting environments. More recently, his paper “Design of Embedded Data Acquisition and Management System Based on SQLite Database” (2022, 4 citations) addresses the need for real-time data monitoring in industrial robot engraving production lines. By integrating SQLite into an embedded system, Wu enabled unified, efficient data storage and management, directly supporting automation and quality control. These works demonstrate Wu’s ability to bridge theoretical image processing with applied embedded systems, making his research valuable for students and engineers working on vision-based automation, industrial IoT, and adaptive imaging. His contributions highlight a commitment to solving real-world problems through robust, resource-efficient designs.
Research Focus
Key Achievements
Top Papers
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