A Linear Iteration Image Restoration Method Based on Homology Continuity

Abstract

A novel image restoration method based on homology continuity is proposed in this paper. We view images as a collection of gray scale points, taking advantage of the homology continuity principle to combine each point and its fuzzy point derived by drop mass function to constitute the path direction and obtain distinct restore points. The gather of all the restore points is the sharply focused image of the original image. At last, we found every picture by iteration method is clearer than the last by experiment with the method proposed in the paper. The result verifies its feasibility.