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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry
verfasst von : Wenming Cao, Mei-fen Xie, Shoujue Wang
Erschienen in: Computational Science and Its Applications - ICCSA 2006
Verlag: Springer Berlin Heidelberg
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A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and “Principle of Homology Continuity” (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final.