The content covered in this course primarily focuses on introducing the fundamental principles and techniques of image processing. You will learn the basics, including image sensing and representation, image enhancement, image restoration, morphology, and image compression. Additionally, you will also acquire knowledge of essential image processing techniques such as filtering, edge detection, and image segmentation. The objective of this course is to provide you with an understanding of the concepts and applications of image processing while enhancing your ability to handle and analyze images effectively.

Text book: A Computational Introduction to Digital Image Processing. Second edition, 2016.

Grading Policy: 

Homework *3 (15%), Midterm exam (20%), Final exam (25%), Final Project (25%), Lab (15%), and Bonus (10%): Kaggle competition