Just out of curiosity, did anyone ever figure out why image aliasing / poor filters causes jaggies as was asked in Lecture 2, Slide 48?
With a lower sampling, even when we were rasterizing the triangle, we ended up using red and white. This resulted in an almost L shaped edge (jagged edge)
With supersampling, we had a little of pink interpolating the change from red to white leading to a much smoother change. Jaggies aren't gone with supersampling, we just notice it lesser
For further removal either we increase supersampling rate further (which will have limited results) or we may increase the resolution of the image rasterized.