Visual Image Processing Lab (VIP Lab)
The Visual Image Processing Lab (VIP Lab) explores the fundamental mechanisms of how visual information is perceived, processed, analyzed, stored, and recalled, aiming to bridge human visual cognition with computational intelligence. Our research focuses on intelligent behavior understanding, vision-based decision support systems, and biomedical image computing for enhanced diagnostic insight. The lab also emphasizes developing advanced visual information protection methods, including data hiding and multimedia security, to ensure data integrity and confidentiality. Through interdisciplinary innovation, VIP Lab strives to become a leading research center in visual perception and computational imaging, driving the next generation of intelligent, secure, and interpretable vision-based systems for real-world and societal advancement.
Aim
The Visual Image Processing Lab aims to explore and model the fundamental mechanisms through which visual information is perceived, processed, analyzed, stored, and recalled. The goal is to bridge the gap between human visual cognition and computational intelligence to develop efficient and interpretable vision-based systems.
Mission
Our mission is to advance research in the areas of:
- Intelligent behavior understanding through vision-based analysis.
- Vision-driven decision support systems for complex real-world scenarios.
- Biomedical image computing and analysis, enhancing diagnostic accuracy and medical insight.
We are also committed to developing robust visual information protection techniques, including data hiding and multimedia security solutions, that ensure both the reliability and confidentiality of visual data.
Vision
The VIP Lab envisions becoming a leading research hub for visual perception and computational imaging, integrating principles of human cognition, artificial intelligence, and information security. Through interdisciplinary innovation, we aspire to contribute to the next generation of intelligent systems capable of understanding, protecting, and utilizing visual information effectively for societal and technological advancement.