Reference no: EM133703139

Question: Use the demonstration image of a grid to implement low-pass and high-pass filtering. Low-pass filtering involves setting the low-cut frequency to 0 while lowering the high-cut frequency to somewhere in the middle of the range so that the image looks a little blurry. Turn in at least two low-pass versions of the image. High-pass filtering involves setting the high-cut frequency to 100 while raising the low-cut frequency somewhere in the middle so that image starts to look more like a line drawing. Turn in at least high-pass versions of the image. In all of your filtered images, tell me where you set the threshold for the frequency cut-off.

Now apply both low-pass and high-pass filtering to the picture of a cat included in the demonstration images. Again, create two low-pass filtered images and two-pass high-pass filtered images and turn these in. Comment on what features of the cat easy to see and which ones are hard to see in the high and low-pass versions of the image and turn in all of your images with the cut-off value you used in each one.
How is different information carried by different spatial frequencies? Find images of men and women's faces online (or take your own pictures) and subject them to low-pass filtering, high-pass filtering and band-pass filtering. Band-pass filtering involves having both the low-cut and high-cut values somewhere in the middle, with the high-cut value being higher than the low-cut value. Experiment with the ranges you choose to determine the best range for telling the difference between men and women and the worst range for telling the difference between men and women. Turn in example images to support your conclusions and report what ranges you used to create them.