Resumo
Super-resolution algorithms, specially when applied in remote sensing, are widely used for many purposes as defense and agricultural research. Classical super-resolution algorithms use multiple low-resolution (LR) images of the target to extract information and use them to build a new image of superior resolution. The LR sources must differ in the sub-pixel range. In contrast, this paper applies an iterative process, using a single LR image to produce a high resolution image.
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