Abstract
In image processing, two-dimension data interpolation is needed for enlargement of images. Nearest-neighbor, linear, cubic and Quadratic interpolation methods are conventionally proposed for image reconstruction. These interpolation methods are represented by kernel function. and the quality of interpolation image and complexity of computation depend on the kernels. In this paper, we propose a extended quadratic kernel to use fuzzy rule. The proposed kernel computes arbitrary value at center points in original image. Finally, the usefulness of the proposed method is verified through the example.
