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.
Deep learning for skin cancer relies on segmentation and classification.
An AI "second eye" for real-time polyp detection during colonoscopy.
Imaging, segmentation, and diagnostics for medical data.
Algorithms and systems for visual understanding and perception.
Earth observation and geospatial analysis from aerial and satellite imagery.
Data-driven modeling and analysis of biological systems.
Signal and image enhancement, restoration, and transformation techniques.
