Month, date	Day in week	Subjects to be covered	Readings
September 2	Wednesday	Introduction and overview	Ch1, Ch2.1 thru Ch2.3
September 7	Monday	Zooming and contrast transform
September 9	Wednesday	Histogram modification
September 14	Monday	Image smoothing
September 16	Wednesday	Image sharpening
September 21	Monday	Edge detection
September 23	Wednesday	Discrete Fourier transform (DFT)
September 28	Monday	Walsh-Hadamard transform (WHT)
September 30	Wednesday	Stochastic model of signal
October 5	Monday	Karhunen-Loeve transform (KLT)
October 7	Wednesday	General unitary transform
October 12	Monday	Singular value decomposition (SVD)
October 14	Wednesday	(Fall Break)
October 19	Monday	Image filtering
October 21	Wednesday	Introduction to image restoration
October 26	Monday	Inverse filtering
October 28	Wednesday	Motion restoration
November 2	Monday	Introduction to image compression, Huffman coding
November 4	Wednesday	Binary image compression and bit-plane decomposition
November 9	Monday	Transform coding
November 11	Wednesday	Introduction to segmentation
November 16	Monday	Hough transform
November 18	Wednesday	Thinning, skeletonization and chain code
November 23	Monday	Fourier descriptor
November 25	Wednesday	Introduction to statistical pattern recognition
November 30	Monday	Bayes classifier
December 2	Wednesday	Feature selection
December 7	Monday	Introduction to neural networks
December 9	Monday	Introduction to neural networks (Cont'd)