Digital Image Processing I | Purdue University Graduate Course

Comprehensive graduate-level course on digital image processing, taught by renowned expert Professor Charles A. Bouman. Hands-on Python labs, access to video lectures, and exploration of the latest research.

Introduction

EE637 Digital Image Processing I is a graduate-level course offered at Purdue University's School of Electrical and Computer Engineering. The course covers the fundamental principles and techniques of digital image processing, providing students with a comprehensive understanding of this important field.

Highlights

• Taught by Professor Charles A. Bouman, a renowned expert in the field of digital image processing
• Comprehensive course covering a wide range of topics, including image acquisition, enhancement, restoration, segmentation, and compression
• Hands-on Python-based laboratories for practical application of the concepts learned
• Access to video lectures from previous offerings of the course
• Opportunity to explore the latest research and developments in digital image processing

Recommendation

This course is highly recommended for graduate students in electrical and computer engineering, as well as those interested in pursuing research or careers in the field of digital image processing. The course provides a strong foundation in the theoretical and practical aspects of this rapidly evolving field, making it an excellent choice for those seeking to deepen their understanding and skills.