This is a class-by-class detailed syllabus that will be updated after every class.

Class Number and Date	Topics	Readings, Notes
1 - 1/8	Course Policies Introduction Image definitions and basic properties 2D continuous space signals and systems   2D delta functions   linearity, space invariance, magnification   PSF, superposition integral, convolution	Fessler's 2D Continuous Notes, pp. CS1-CS22
2 - 1/10	PSF & Resolution 2D Fourier Transforms   definitions,  properties	Noll's 1D & 2D FT Notes , pp.  8-15   (Review of 1D FT's on 1-7) Fessler's 2D Continuous Notes, pp. CS30-CS43   (Background reading pp. CS23-CS29)
3 - 1/15	2D FT   properties,  examples, transfer functions 2D sampling   Nyquist criterion, sinc interpolation 2D Fourier Series	same as previous class
4 - 1/17	The many kinds of FT's   2D Discrete space FT (2D-DSFT), 2D Disrete FT (2D-DFT)   definitions, relationhips to continuous FT   FFT's 2D discete space systems   2D Kronecker delta functions   linearity, space invariance, etc.   PSF, convolution, separable convolution, edge effect	Fessler's 2D Continuous Notes, pp. CS44-CS48 Lim, Sections 1.0-1.2 Fessler's 2D Discrete Space Notes, pp. 1.1-1.14
5 - 1/22	2D Discete Space FT   properties	Lim, Sections 1.3 Fessler's 2D Discrete Space Notes, pp. 1.15-1.20
6 - 1/24	2D Discete Fourier Series and Discrete FT   properties	Lim, Sections 3.0-3.2 Fessler's 2D FT Notes, pp. 3.1-3.11
7 - 1/29	2D Discete Discrete FT   convolution   FT methods of implmenentation of linear convolution 1D DCT	Lim, Sections 3.3 Fessler's 2D FT Notes, pp. 3.12-3.26
8 - 1/31	2D DCT   properties Computational aspects, FFT's Image Filtering	Lim, Sections 3.3, 3.4 Fessler's 2D FT Notes, pp. 3.20-3.26
9 - 2/5	Image Filtering	Lim, Sections 4.0-4.3.1 Fessler's  1.21-1.25, 4.1-4.4
10 - 2/7	Visual System Properties   anatomy, spectral sensitivity, contrast, point nonlinearities   spatial response, system model	Lim, Chapter 7 O'Donnels' Notes Section 3.1-2 http://webvision.med.utah.edu/index.html (parts I and IX)
11 - 2/12	Visual System Properties   optical response, resolution, color	same as previous class
12 - 2/14	Image Enhancement    contrast adjustment	Lim 8.1 Fessler's 8.1-8.8
13 - 2/19	Image Enhancement   noise smoothing - linear, median, other edge preserving   edge detection - gradient methods, edge thinning	Lim 8.2-8.3 Fessler's 8.9-8.19 An example of a non-linear edge preserving filter - the anisotropic diffusion filter (this link is to a chapter of a grad student thesis)
14 - 2/21	Image Enhancement   edge detection - laplacian methods   methods that incorporate smoothing     marr-hildreth, canny   interpolation and motion detection	Lim 8.4 Fessler's 8.21-8.32
12/26-2/28	Spring Break
15 - 3/5	Image Enhancement   interpolation and motion detection Spectral Estimation	Lim 6.0-6.1 Fessler's Notes 6.1-6.5
16 - 3/7	Spectral Estimation   random processes through LSI systems   Weiner filters	Lim 6.2 Fessler's Notes 6.6-6.16
17 - 3/12	Spectral Estimation Image Resoration   estimation of degradation   Weiner filters revisited	Lim  9.0-9.2 Fessler's Notes 9.1-9.8
18 - 3/14	Image Restoration	same
19 - 3/19	Image Restoration   blind deconvolution    deblurring, inverse filtering   deblurring with noise - Weiner filtering II   temporal filtering	Lim  9.3-9.6 Fessler's Notes 9.9-9.13
20 - 3/21	Image Coding   intro   quantization   distortion measures   companding	Lim 10.0-10.1 Fessler's Notes 10.1-10.6 Reading on transform coding
21 - 3/26	Image Coding   optimization   vector quantization	Lim 10.1 Fessler's Notes 10.7-10.11
22 - 3/28	Image Coding   vector quantization   codeword assignment - uniform and variable length	Lim 10.2 Fessler's Notes 10.12-10.15
23 - 4/2	Image Coding   codeword assignment - Huffman coding   waveform coding - PCM, Robert's method, Pyramid coding	Lim 10.3 Fessler's Notes 10.16-10.19
24 - 4/4	Image Coding   transform coding - Karhunen-Loeve transform	Lim 10.4 Fessler's Notes 10.24-10.28
25 - 4/9	Image Coding   transform coding - Haddamard, DCT, DFT, ...	Lim 10.4 Fessler's Notes 10.29-10.30
26 - 4/11	Image Coding   wavelet compression techniques	Reading on Wavelet Compression
27 - 4/16	Last Class! Teaching Evaluations Image Coding   JPEG 2000	Reading on JPEG 2000