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Space Scale Analysis for Image Sampling and Interpolation

Abstract

In image processing operations involving changes in the sampling grid, preserve image structure. Structure includes regions of high contrast, such as edges, streaks, or corners, all indicated by large gradients. In this paper, we consider the use of local spatial analysis for both sampling and interpolation. Anisotropic diffusion is considered as a directional smoothing technique that preserves structure. This is used in conjunction with a method of directional interpolation, which is also based on structure analysis

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