ION 528 Image Processing Algorithms Instructor name(s):
	Dr. Erkan Mumcuoglu	Office: MM-417 Tel:210-3753 URL: http://www.ii.metu.edu.tr/~mumcuoglu
Teaching Assistant: Habil Kalkan Course Objectives: This course is designed to introduce the basic as well as advanced subjects and applications of digital image processing. Teaching material is going to be available via in-class-lecture-video-CDs and online-lecture-notes through the internet, which include interactive Java applets. Outline 1. The Digital Image: Image representation, sampling, quantization, color models, color image processing 2. Digital Signal Processing (DSP) Fundamentals: Sampling, Frequency domain, Discete Fourier Transform, convolution theorem, properties. 3. Image Enhancement: Histogram modification, geometric transformations (rotation, warping, image interpolation), linear filtering (FIR), non-linear filtering (median and rank filtering) 4. Fourier Transform of Images: 2D-frequency domain, 2D-Discete Fourier Transform, 2D convolution theorem 5. Image Restoration: Noise removal (of images corrupted by various noise types: random, periodic, etc.), image blurring correction using Wiener filter (deconvolution and inverse filtering) 6. Edge Detection: Gradient based edge detection, Laplacian based edge detection, Canny’s edge detection 7. Morphological Image Processing: Basic morphological operators (dilation, erosion, opening, closing) 8. Image Segmentation: Histogram-based, edge-based, region-growing, texture-based, statistical-based methods 9. Advanced subjects: Wavelet transform, Gabor filters, ... Text Book: - • Gonzales C. G. and Woods, R. E., "Digital Image Processing", Second Edition, Prentice Hall, 2001 References: Reference Books on Image Processing: • N. Efford, "Digital Image Processing: A practical Intro. using Java", Addison Wessley, 2000. • J.S. Lim, “Two Dimensional Signal and Image Processing”, Prentice Hall, 1990. • Pitas, I., "Digital Image Processing Algorithms", Prentice Hall, 1993. Reference Books and Web Sites on Java: • Savitch, W., "Java: An Intro. to Computer Science and Programming", Prentice Hall, 1999. • Flanagan, D., "Java in a Nutshell: A Desktop Quick Ref. for Java Programmers", 1996. • Java Resources from Sun Microsystems (http://java.sun.com) • Java Documentation (http://java.sun.com/j2se/1.4.1/docs/api/) On-line Material: online.metu.edu.tr: some of the lecture notes, tips, links, applets, syllabus, schedule, assignments, announcements Grading: %50 - Four Homeworks, %12.5 each (programming and written questions) %20 - Midterm exam (written, no programming questions) %30 - Final Exam (written, no programming questions) Participation to discussions on the forum is an essential part of overall evaluation. (The grading scheme above is valid for participants only.)