Abstract
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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Torii, A., Wakazono, Y., Murakami, H., Imiya, A. (2003). PDE Based Method for Superresolution of Gray-Level Images. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_86
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DOI: https://doi.org/10.1007/978-3-540-45179-2_86
Publisher Name: Springer, Berlin, Heidelberg
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