DocumentCode :
1563475
Title :
A Novel Image Restoration Approach Based on Point Location in High-dimensional Space Geometry
Author :
Shoujue, Wang ; Yu, Cao ; Yi, Huang
Author_Institution :
Inst. of Semicond., Chinese Acad. of Sci., Beijing
Volume :
1
fYear :
2005
Firstpage :
301
Lastpage :
305
Abstract :
The goal of image restoration is to restore the original clear image from the existing blurred image without distortion as possible. A novel approach based on point location in high-dimensional space geometry method is proposed, which is quite different from the thought ways of existing traditional image restoration approaches. It is based on the high-dimensional space geometry method, which derives from the fact of the principle of homology-continuity (PHC). Begin with the original blurred image, we get two further blurred images. Through the regressive deducing curve fitted by these three images, the first iterative deblured image could be obtained. This iterative "blurring-debluring-blurring" process is performed till reach the deblured image. Experiments have proved the availability of the proposed approach and achieved not only common image restoration but also blind image restoration which represents the majority of real problems
Keywords :
geometry; image resolution; image restoration; blurred image; high-dimensional space geometry method; image restoration approach; principle of homology-continuity; Deconvolution; Degradation; Geometry; Hopfield neural networks; Image processing; Image restoration; Intelligent networks; Neural networks; Pattern recognition; Wiener filter; PHC; PSF; high-dimensional space geometry; image restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614620
Filename :
1614620
Link To Document :
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