This course offers students a comprehensive exploration of Digital Image Processing and its practical applications. Image processing is extensively employed in both our daily lives and a multitude of research domains, encompassing areas such as healthcare, geography, environmental science, and digital agriculture, among others. The curriculum delves into the core principles of visual perception and image acquisition, essential methods for image manipulation, segmentation, coding, and introduces the basics of Computer Vision. By successfully completing the course, students will acquire the capability to conduct image manipulations and analyses across diverse fields. This course assumes that students have strong programming skill in MATLAB, and a working knowledge of Intermediate Calculus, Linear Algebra, basic estimation techniques, and some statistical topics on the level of introductory courses in Statistics.
Office Hour: Thursdays 1:00-2:00pm 3C08B
Class meeting time: Monday/Wednesday 4:00-5:15pm 3C13
Lecture notes
Introduction to Digital Image Processing 1 (2023.9.6)
Introduction to Digital Image Processing 2 (2023.9.11)
Digital Image Fundamentals 1 (2023.9.13)
Digital Image Fundamentals 2 (2023.9.18)
Digital Image Fundamentals 3 (2023.9.20)
Digital Image Fundamentals 4 (2023.9.25)
Intensity Transformations and Spatial Filtering 1 (2023.9.27)
Intensity Transformations and Spatial Filteringn 2 (2023.10.2)
Intensity Transformations and Spatial Filtering 3 (2023.10.4)
Intensity Transformations and Spatial Filtering 4 (2023.10.16)
Filtering in the Frequency Domain 1 (2023.10.18)
Filtering in the Frequency Domain 2 (2023.10.25)
Filtering in the Frequency Domain 3 (2023.10.30)
Filtering in the Frequency Domain 4 (2023.11.1)
Image Restoration and Reconstruction 1 (2023.11.6)
Image Restoration and Reconstruction 2 (2023.11.8)
Image Restoration and Reconstruction 3 (2023.11.13)
Image Restoration and Reconstruction 4 (2023.11.15)
Advanced Topics in Digital Image Processing 1 (2023.11.20)
Advanced Topics in Digital Image Processing 2 (2023.11.22)
Advanced Topics in Digital Image Processing 3 (2023.11.27)
Advanced Topics in Digital Image Processing 4 (2023.11.29)
Project
Project proposal report (Due at 8:00am, 2023.10.22)
Project proposal presentation (2023.10.23)
Project report drat (Due at 8:00am, 2023.12.3)
Project presentation (2023.12.4 & 2023.12.6)
Project final report (Due at 8:00am, 2023.12.10)
Assignments
Assignment 1 (Due at 8:00am 2023.11.5)
Assignment 2 (Due at 8:00am 2023.11.26)