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.
Содержание
Research on Image Super-Resolution.- Use of Defocus Cue.- Photometry Based Method.- Blind Restoration of Photometric Observations.- Use of Learnt Wavelet Coefficients.- Extension of Generalized Interpolation to Eigen Decomposition.- Use of Zoom Cue.- Looking Ahead.
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