An alternative to supersampling is jittered sampling. Jittered sampling is a stochastic process in which pixels are divided into subpixels (same as supersampling), and the sample points used for the triangle test is chosen at random within each subpixel. The nonuniformity that results from jittering helps turn aliasing into noise. However, one issue with jittered sampling is that limited clumping can take place. This problem can be lessened by choosing points closer to the center of each subpixel.