Fuzzy Area-Based Image Scaling

In this paper, we propose an interpolation scheme for performing image scaling by utilizing a dynamic mask combined with a sophisticated neighborhood averaging fuzzy algorithm. The functions that contribute to the final interpolated image are the areas of the input pixels, overlapped by a dynamic mask and the differences in intensity of the input pixels. Simple fuzzy if-then rules for these two functions are presented in order to carry out the interpolation task. Simulation results have shown a fine high-frequency response and low interpolation error in comparison to other widely used algorithms. The interpolation can be applied to both gray scale and color images, for any scaling factor.