Super resolution from image sequences

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On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit (2013, background): “ould mention that the works above consider superresolution as the problem of breaking the diraction limit, as opposed to trying to \only" increase the resolution of low resolution sensors (e.g. [17]). This type of superresolution is not the topic of this paper so we refer the reader to the revi”
Super-Resolution With Sparse Mixing Estimators (2010, unknown): “Super-resolution interpolations can further be improved by using a sequence of images [26], [29], [30], [46], [48] or a comparison dataset [21], [27], [59] to perform the interpolation.”
Super-resolution: a comprehensive survey (2014, methodology): “the lens is not available from its manufacturer, it is usually estimated by scanning a small dot on a black background [8], [13], [14].”