Super-resolution
	Basic idea: • define a destination (dst) image of desired resolution • assume mapping from dst to each input image is known – usually a combination of a 2D motion/warp and an average (point-spread function) – can be expressed as a set of linear constraints – sometimes the mapping is solved for as well • add some form of regularization (e.g., “smoothness assumption”) – can also be expressed using linear constraints – but L1, other nonlinear methods work better