1/25	Monday	Introduction and overview
1/27	Wednesday	Zooming and contrast transform
2/1	Monday	Histogram modification
2/3	Wednesday	Image smoothing
2/8	Monday	Image sharpening
2/10	Wednesday	Edge detection
2/15	Monday	Discrete Fourier transform (DFT)
2/17	Wednesday	Walsh-Hadamard transform (WHT)
2/22	Monday	Stochastic model of signal
2/24	Wednesday	Pricipal Component Analysis (PCA)
3/1	Monday	General unitary transform
3/3	Wednesday	Singular value decomposition (SVD)
3/8 -- 3/12		Spring Break
3/15	Monday	Image compression
3/17	Wednesday	Image filtering
3/22	Monday	Introduction to image restoration
3/24	Wednesday	Inverse filtering
3/29	Monday	Motion restoration
3/31	Wednesday	Introduction to image compression, Huffman coding
4/5	Monday	Binary image compression and bit-plane decomposition
4/7	Wednesday	Transform coding
4/12	Monday	Introduction to segmentation
4/14	Wednesday	Hough transform
4/19	Monday	Thinning, skeletonization and chain code
4/21	Wednesday	Fourier descriptor
4/26	Monday	Introduction to statistical pattern recognition
4/28	Wednesday	Bayes classifier
5/3	Monday	Feature selection
5/5	Wednesday	Introduction to neural networks