Question: Here's an interesting question. This slide is essentially showing what the reconstructed coverage signal looks like when reconstruction is performed using a box filter. (As the slide states, we're assuming that a pixel emits a box of light).
What would it look like if you reconstructed the sampled coverage signal with a 2D triangle filter?
Even cooler, what if you used a sinc? You might have to write some code, and if you make a cool image, show us!
blimper
Does the slanted edge here count as an example of "jaggies"? Or is that a term specific to the product of some other phenomenon?
skygao
@blimper In general, jaggies are stairlike lines that appear where there should be smooth straight lines or curves. So it depends on the actual shape of what is being displayed. In this case it is because the original coverage signal is continuous on the edge. However if this was a combination of two perfectly horizontal/vertical tiny rectangles, maybe not.
kayvonf
@blimper. What did you mean by "slanted edge here"?
Question: Here's an interesting question. This slide is essentially showing what the reconstructed coverage signal looks like when reconstruction is performed using a box filter. (As the slide states, we're assuming that a pixel emits a box of light).
What would it look like if you reconstructed the sampled coverage signal with a 2D triangle filter?
Even cooler, what if you used a sinc? You might have to write some code, and if you make a cool image, show us!
Does the slanted edge here count as an example of "jaggies"? Or is that a term specific to the product of some other phenomenon?
@blimper In general, jaggies are stairlike lines that appear where there should be smooth straight lines or curves. So it depends on the actual shape of what is being displayed. In this case it is because the original coverage signal is continuous on the edge. However if this was a combination of two perfectly horizontal/vertical tiny rectangles, maybe not.
@blimper. What did you mean by "slanted edge here"?