High-Dimensional space geometrical informatics and its applications to image restoration

Authors:
Shoujue Wang;Yu Cao;Yi Huang
Affiliations:
Laboratory of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China;Laboratory of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China;Laboratory of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

With a view to solve the problems in modern information science, we put forward a new subject named High-Dimensional Space Geometrical Informatics (HDSGI). It builds a bridge between information science and point distribution analysis in high-dimensional space. A good many experimental results certified the correctness and availability of the theory of HDSGI. The proposed method for image restoration is an instance of its application in signal processing. Using an iterative “further blurring-debluring-further blurring” algorithm, the deblured image could be obtained.