chapter 1 Image Super-Resolution: Historical Overview and Future Challenges / chapter 2 Super-Resolution Using Adaptive Wiener Filters / chapter 3 Locally Adaptive Kernel Regression for Space-Time Super-Resolution / chapter 4 Super-Resolution with Probabilistic Motion Estimation / chapter 5 Spatially Adaptive Filtering as Regularization in Inverse Imaging: Compressive Sensing, Super-Resolution, and Upsampling / chapter 6 Registration for Super-Resolution: Theory, Algorithms, and Applications in Image and Mobile Video Enhancement / chapter 7 Towards Super-Resolution in the Presence of Spatially Varying Blur -- chapter 8 Toward Robust Reconstruction-Based Super-Resolution / chapter 9 Multiframe Super-Resolution from a Bayesian Perspective / chapter 10 Variational Bayesian Super-Resolution Reconstruction / chapter 11 Pattern Recognition Techniques for Image Super-Resolution / chapter 12 Super-Resolution Reconstruction of Multichannel Images / chapter 13 New Applications of Super-Resolution in Medical Imaging / chapter 14 Practicing Super-Resolution: What Have We Learned?