Math 155, Lecture 1, Winter 2008

Mathematical Imaging

Lecture Meeting Time: MWF 1.00PM - 1:50PM.
Lecture Location: MS 6229.
Discussion Section: Thursday 1.00PM - 1:50PM, BOELTER 5419.

Instructor: Luminita A. Vese
Office: MS 7620D
Office hours: M 3-4pm, W 3-4pm, F 2-3pm, or by appointment.

E-mail: lvese@math.ucla.edu

Teaching Assistant: Pascal Getreuer, E-mail: getreuer@math.ucla.edu
Office: MS 6160.
Office hours: Thursdays 2-4pm.

Textbooks: 2nd edition or 3rd edition (better) of Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, 2nd edition, Prentice-Hall, 2002.
(placed on reserve for 2 hours/overnight at SEL Library).
Recommended:
  • R.C. Gonzalez and R.E. Woods, Digital Image Processing, 3rd edition, Prentice-Hall, 2008 (instead of the 2nd edition).
  • R.C. Gonzalez, R.E. Woods and S.L. Eddins, Digital Image Processing Using Matlab, Prentice-Hall, 2004.

    Pre-requisites: courses 32B and 33B, 115A and PIC 10A.

    Useful Links:
  • Virtual Office Hours
  • PIC Lab: Boelter Hall 2817
    http://www.pic.ucla.edu/piclab/
  • MATLAB documentation
  • More about Matlab
  • Quick Matlab Documentation (thanks to Prof. C. Anderson, UCLA)
  • Class Web Page: http://www.math.ucla.edu/~lvese/155.1.08w/

    Sections studied in the lecture (3rd EDition):
    (please read other sections that are not covered in class)
  • Introduction
  • 1.4 Fundamental Steps in Digital Image Processing
  • 2.3.4. A Simple Image Formation Model
  • 2.4 Image Sampling and Quantization: 2.4.1, 2.4.2, 2.4.3, 2.4.4.
  • Chapter 3: 3.1
  • 3.1.1, 3.2 (we did not discuss "Bit-plane slicing"), 3.3, 3.4, 3.5, 3.6
  • Chapter 4: 4.2.1, 4.2.3, 4.2.4, 4.2.5, 4.4, 4.4.1, 4.4.2, 4.5.1, 4.5.5, 4.6.1, 4.6.2, 4.6.3, 4.6.4, 4.6.5, 4.6.6, 4.6.7.
  • 4.7
  • 4.8
  • TBA

    Assignments Policy: There will be several homework assignments on theoretical questions and computer projects. Homework will be assigned every week and collected every Friday (lecture). Please start working from now at the PIC Lab, using the computer language Matlab.

    Examinations:
  • One Midterm Exam: Friday, February 15, 2007 (in lecture).
  • One Final Exam: Code: 06 - Tuesday, March 18, 2008, 8:00am-11:00am.
    These are closed note and closed book written exams.

    Grading Policy: HW 30%, Midterm 25%, Final 45%

    Class materials:
  • SampleMatlabCode.m
  • Illustration of shifting the center of the FT in 1D
  • Matlab code for the example above of computing the DFT in 1D and shifting the center
  • Matlab code reproducing the result in Fig. 4.3, using the DFT and IDFT
    Fig4.03(a).jpg

    The following material is obtained from the book web page (including review material for students, solutions (student version), projects):
  • http://www.imageprocessingplace.com/
  • Errata to the textbook
  • Review material offered by the book authors

    Homework Assignments, Projects & Practice Problems:

    HW #1 Due on Friday, January 18 (deadline extension: by Wednesday, January 23)
    HW1.pdf
    Image to download Fig2.21(a).jpg

    Image to download Fig3.08(a).jpg


    HW #2 Due on Friday, January 25, or on Monday, January 28
    HW2.pdf
    Image to download Fig3.37(a).jpg


    HW #3 Due on Friday, February 1
    HW3.pdf
    Image to download Fig3.37(a).jpg

    Image to download Fig3.40(a).jpg

    Image to download Fig5.26a.jpg


    HW #4 Due on Friday, February 8
    HW4.pdf
    Image to download Fig5.26a.jpg


    HW #5 Due on Friday, February 15
    HW5.pdf
    Image to download Fig4.11(a).jpg


    HW #6 Due on Wednesday, February 27
    HW6.pdf
    Image to download Fig5.7(b).jpg

    Image to download Fig5.8(a).jpg

    Image to download Fig5.8(b).jpg


    HW #7 Due on Friday, March 7
    HW7.pdf
    Image to download Fig4.41(a).jpg

    Image to download Fig.4.41(b).jpg
    Image to download Fig5.26(a).jpg
    Image to download Fig5.07(a).jpg (original circuit board X-ray)

    HW #8 Due on Tuesday, March 18
    HW8.pdf
    Image to download Fig5.26(a).jpg

    Image to download Fig10.15a.jpg


    About the final exam