PROJECT TOPICS

1. For graduate credit all projects must include some frequency analysis
   component. Undergraduate projects may include this for extra credit.

2. Topics can be:

	- edge enhancement
	- edge detection
	- segmentation
	- image enhancement by eliminating special types of noise
	- elimination of distortion
	- recovering information such as text that is unreadable
	- segmentation using pseudo-colors
	- color enhancement of a color image
	- detection of objects by color patterns
	- combining multiple images for some special effect
	- affine transformations of images
	- zooming in to enlarge an image with interpolation of pixels
	- some special processing not mentioned here, if given instructors approval
	- design and use a homeomorphic filter
	- morphology (erosion, dilation)
	- multi-frame processing
	- color image processing (sharpening, edge enhancement, etc.)

3. All work must include programming. Tools can be used for such things as FFT's
   but not for color processing, zooming, nor other special effects.


			FINAL REPORT

1. There must be an Introduction section to describe the processing to be done
   and the data/image(s) to be used.

2. There must be a methodology section to describe the work to be done.

3. There must be a computer results to show the results of computer runs.

4. A conclusion is required that describes what works best, what did not work
   so well. Some analysis of these is required, as well as what should be done
   if further work were to be done on it in the future.