Lyndsey Pickup's thesis

The reading I've done suggests that SR is quite a bit more sophisticated than it was when Capel wrote his thesis. In particular, Bishop and others have adopted fully probabilistic techniques in which image registration is accounted for in the generative models. This allows registration to be learned concurrently with the super resolution image, and even allows the registration parameters to be marginalized over, so that they never have to be explicitly computed. Lindsey Pickup's thesis seems to be a great survey of these recent techniques, and I am in the process of reading it.