This course will provide students a detailed overview of Digital Image Processing and its applications. Image processing has found applications in many areas from medical imaging to computer graphics. This course covers the fundamental concepts of visual perception and image acquisition, basic techniques of image manipulation, segmentation and coding, and a preliminary understanding of Computer Vision. With successful completion of the course, students will be able to perform image manipulations and analysis in many different 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 (2023.12.11)
Project final report (Due at 8:00am, 2023.12.20)
Assignments
Assignment 1 (Due at 8:00pm 2023.11.1)
Assignment 2 (Due at 8:00am 2023.11.26)