High-resolution image reconstruction refers to reconstructing a higher resolution image from multiple low-resolution samples of a true image. In this paper, we consider the case where there are displacement errors in the low-resolution samples, i.e. the samples are not aligned properly. The resulting blurring operators are spatially variant. Using the theory developed in [2], we solve the problem by using an iterative algorithm based on wavelet filters and multiresolution analysis.
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