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

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... st by experiment with the method proposed in the paper. The result verifies its feasibility. 278 Copyright ⓒ 2015 SERSC gather of point range, every point in the image and several defocusing blurring points are homologous, and they all meet the homology continuity principle. By the distribution relationship of the original image points and the derived points, we seek out a positive direction path of the former object's clear point, and the feasibility of this method is verified by repeated iteration. Theoretically, the more iterations we do, the more precise image it is, and time cost for image restoration are longer as compensation. However, noise are brought in during the process of degeneration, causing great impacts to the image continuity. That is to say, too much iteration times will enlarge noise objectively, thus the limitation of iteration times should also be considered.