Fuzzy Based Distance Correction Algorithm for Digital Image Interpolation

Abstract

Image interpolation is one of the key technologies in image processing. A special distance correction algorithm based on membership function is proposed in this paper to complete image interpolation. Fuzzy logic is used to get the membership function with the local characteristics of the gradient and phase angle. The first step is to correct the special distance of interpolated pixels along one dimension in the basis of local asymmetry features and the membership function, then convert the corrected distance of one dimension into two dimension, applying the corrected distance to conventional image interpolation algorithms. Experimental results demonstrate that this algorithm can produce better results in regard to the signal-to-nosie ratio and succeeds in preserving interpolation image edges of various directions.