| Date | Text | Topics | Assignment & Discussion session |
| 9/6, 7(DS), 8 | Chapter 1, notes | Introduction to Digital Image Processing, examples of image processing; Brief review of 2D linear system theory, probability and random variables | HW1 |
| 9/11, 13, 15 | 2.3-2.4, 6.1-6.2, notes | Human visual system and Visual Psychophysics, image acquisition, sampling and quantization | 9/14 (DS): HW1 |
| 9/18, 20, 21 (DS), 22 | 3.1-3.8, 4.2-4.4, 4.6 | Color fundamentals, color models; Image Enhancement: Gray-level transform, histogram processing, arithmetic/logic operation, Spatial filtering, 2D Fourier transform, Frequency domain smoothing, sharpening, implementation details, | |
| 9/25, 27 | 5.1-5.3 | Image degradation model, Noise models, restoration using spatial filtering with noise only degradation, Review for midterm | HW1 due 9/25, HW 2, 9/28 (DS): Review of Midterm #1 |
| F, 9/29, 7:15-8:30 PM | Midterm 1 | Cover up to 9/22 materials, 75 minutes | Room: 2535 Engr. Hall |
| 10/6 | 5.5-5.7 | Linear, shift-invariant degradataion, inverse filtering, | 10/5 (DS): HW#2 |
| 10/9, 11, 12(DS), 13 | 5.8 - 5.11, 2.5, 9.1 | Wiener filtering, constrained lesat square filters, geometric transofrmation, basic pixel relations, set theory, logic operators | HW#2 due on 10/19, HW#3 |
| 10/16, 18, 20 | no lectures this week | 10/19 (DS): Review of Chap. 5 | |
| 10/23, 25, 26(DS), 27 | 9.2-9.5, 10.1 | Morphological image processing, point, line and edge detection | |
| 10/30, 11/1, 2(DS), 3 | 10.2 - 10.4 | edge linking, boundary detection, hough transform, thresholding, region segmentation, | |
| 11/6, 8 | 10.4 - 10.5, 11.1 | morphological watersheds, motion segmentation Representation, chain code, signature, boundary segment, | HW#3 due 11/6, HW#4, 11/9 (DS): Review of Midterm #2, Project proposal due 11/8 |
| F, 11/10, 7:15-8:30 PM | Midterm 2 | Cover up to 11/3 materials, 75 minutes | Room: 2535 Engr. Hall |
| 11/13, 15, 17 | 11.2, 8.2 - 8.4 | skeleton, Boundary descriptors, shape numbers, Fourier descriptors, statistical moments; Elements of information theory, Lossless and Lossy coding, Huffman coding, | 11/16(DS): HW#4, HW#4 due 11/29, HW#5 |
| 11/20, 22 | 8.5 - 8.6 | arithmetic coding, run-length coding, Image and video compression standards: JPEG and MPEGThanksGiving 11/23-26 | |
| 11/27, 29, 12/1 | 7.1, 7.3, notes | multi-resolution processing, discrete wavelet transform | 11/30 (DS), HW#5 due 12/13 |
| 12/4, 6, 8 | TBD | ||
| 12/11, 13, 15 | Project presentation | ||
| R, 12/21, 2:45-4:45 PM | Final Exam | Comprehensive | 1610 Engr. Hall |
Last Modified: November 20, 2006
Back to Course Description; or ECE 533 Home Page;