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Motion-Free Super-Resolution is a compilation of very recent work on various methods of generating super-resolution (SR) images from a set of low-resolution images. The current literature on this topic deals primarily with the use of motion cues for the purpose of generating SR images. These cues have, it is shown, their advantages and disadvantages. In contrast, this book shows that cues other than motion can also be used for the same purpose, and addresses both the merits and demerits of these new techniques.

Motion-Free Super-Resolution supersedes much of the lead author's previous edited volume, "Super-Resolution Imaging," and includes an up-to-date account of the latest research efforts in this fast-moving field. This sequel also features a style of presentation closer to that of a textbook, with an emphasis on teaching and explanation rather than scholarly presentation.

Motion-Free Super-Resolution

1. Image Super-Resolution 2. Review of Current Status 3. Use of Defocus Cue; Introduction; Defocus Phenomenon; Low-resolution image formation; Modeling of Image and Scene Depth; MAP Estimation; Demonstration of Results; Discussions 4. Photometry Based Method; Introduction; Photometry and Scene Structure; Generalized Interpolation; Inconsistency handling; Super-resolution Estimation; Experimental Demonstration; Discussions 5. Blind Restoration of Photometric Observartions; Introduction; Blind Restoration; Observation Model; Joint Restoration and Structure Recovery; Demonstration; Discussions 6. Wavelet Based Method; Introduction; Single-Frame Super-Resolution; Wavelets and Multiresolution Analysis; Learning of Wavelet Coefficients; Super-resolution Restoration; Experimental Performance; Discussions 7. Use of Zoom Cue; Introduction; Problem Definition; Zoom Estimation; Super-resolving a Scene with a Known Model; Learning of Model Parameters; Experimental Demonstration; Discussions 8. Looking Ahead