We propose a superresolution method for gray-level images. The method is based on resolution conversion of discrete terrains in a space by regarding gray-level images as discrete terrains. The deformation process using a discrete diffusion enables us to estimate the smooth boundary surface from a low-resolution data of discrete terrain. Furthermore, the resampling process of the estimated smooth boundary surface produces a high-resolution data of discrete terrain.
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