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A common distortion in videos is image instability in the form of chaotic(global and local displacements). Those instabilities can be used to enhanceimage resolution by using subpixel elastic registration. In this work, weinvestigate the performance of such methods over the ability to improve theresolution by accumulating several frames. The second part of this work dealswith reconstruction of discrete signals from a subset of samples underdifferent basis functions such as DFT, Haar, Walsh, Daubechies wavelets and CT(Radon) projections.

Potentials and Limits of Super-Resolution Algorithms and Signal Reconstruction from Sparse Data