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As opposed to [0..255]
Render with scanalyze????
Use photoshop to make something grayscale
 tx  =  2x, ty  =  y
Then, how about ty = -y/3?
show image morphing applet:  http://www.colonize.com/warp/
Salt and pepper and impulse noise can be due to transmission errors (e.g., from deep space probe), dead CCD pixels, specks on lens
We’re going to focus on Gaussian noise first.
If you had a sensor that was a little noisy and measuring the same thing over and over, how would you reduce the noise?
Replace each pixel with the average of a kxk window around it
Replace each pixel with the average of a kxk window around it
Move around over previous slide
Replace each pixel with the average of a kxk window around it
What happens if we use a larger filter window?
Demo with photoshop
ones, divide by 9
They are the same for filters that have both horizontal and vertical symmetry.
Better at salt’n’pepper noise
Not convolution: try a region with 1’s and a 2, and then 1’s and a 3