PhD Student Tulane University LaPlace, Louisiana, United States
Images are everywhere, from medical scans to social media filters, yet few realize the transformative engineering behind them. This session explores the intersection of art and science in image processing, revealing how engineers manipulate pixels to enhance visuals, extract data, and solve real-world problems. Attendees will gain insight into fundamental image processing techniques, such as contrast adjustment, edge detection, and pattern recognition, and discover their applications in biomedical imaging, AI, and digital media. The session aims to make image processing accessible to all, whether you’re an engineer, researcher, or simply curious about the technology shaping our visual world. Through engaging examples and real-world applications, attendees will leave with a new appreciation for the hidden engineering behind the images we see every day. Perfect for those interested in blending creativity with technical problem-solving, this session will inspire attendees to view engineering through a new, visually aesthetic lens.
Learning Objectives:
Identify fundamental image processing techniques for enhancement and analysis.
Describe real-world applications in biomedical imaging, AI, and media.
Explain engineering principles behind image manipulation and data extraction.