1.	Antialiasing and Resampling	2.	What is a Pixel?
3.	More on Samples	4.	Picturing an Image as a 2D Function
5.	Sampling Grid	6.	Sampling an Image
7.	The Big Question	8.	Convolution
9.	Sampling in the Frequency Domain	10.	Reconstruction
11.	Aliasing	11a.	Sampling Frequency
12.	Sampling Theorem	12a.	Sampling Example
12b.	Aliasing Effects	12c.	Aliasing Effects
12d.	Aliasing Effects	12e.	Pre-Filtering
12f.	Anti-Aliased Lines	12g.	Anti-Aliased Lines
12h.	Anti-Aliased Line Algorithm (uses floating point)	12i.	AntiAliased Line Demonstration
12j.	Post-Filtering	13.	Reconstruction Revisited
14.	Gaussian Reconstruction	15.	Gaussian Verdict
16.	Nearest-Neighbor Reconstruction	17.	Nearest-Neighbor Example
18.	Problems with Reconstruction Filters	19.	Is there an Ideal Reconstruction Filter?
20.	Problems with a Sinc Reconstruction Filter	21.	Lessons from the Sinc Function
22.	Approximations with Finite Extent	23.	Bilinear Example
24.	Larger Extents	25.	Spline Constraints
26.	Bicubic Derivation	27.	Bicubic Example
28.	Next Time