Can Aliasing Happen in Laplacian Pyramids? I want to use the Laplacian pyramid framework for representing images. The The Laplacian Pyramid as a Compact Image Code's language seems to provide freedom in the choice of blurring/interpolation kernel, subject to certain constraints. However, as we are performing subsampling when constructing pyramids, would aliasing be a problem with an injudicious choice? 

I read in the Toronto lecture notes on image pyramids(Slide 8) that a laplacian pyramid can reconstruct an image exactly, agnostic of the kernel. Can i take this to be a guarantee against aliasing, or can aliasing be "hidden" by the reconstruction process?
The reconstruction will remove aliasing, no matter which filter kernel is used.

The lower layer of the 2-layer Laplacian pyramid on page 8 of the Toronto lecture notes, adapted here:

Figure 1. A 2-layer Laplacian pyramid.

can be redrawn as:

Figure 2. An alternative presentation of the lower layer of the Laplacian pyramid of fig. 1.

This layer is an identity operation: what is subtracted is also added. This allows to draw the next (and in this case the only) layer above it the same way and it also can be identified to be an identity operation. And so on until the whole process becomes an identity operation.