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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stephanakis, I.M. Stamou, G. Kollias, S. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece (Stephanakis, I.M.) |
| Abstract | Autoregressive Wiener filters are used for prediction and restoration of still frame and video images. Filters of this kind solve a linear optimization problem for the global statistics of an image. They fail when image statistics vary in space (non-stationarity) and when the corrupting noise is nonlinear. A piecewise Wiener filter defined upon a fuzzy partition of the space of local wavelet features is presented and successfully applied to image restoration in the aforementioned cases. Unsupervised clustering of the features using the Bezdek fuzzy c-means algorithm is performed for region estimation and subsequent application of the proper filter h/sub Rk/(n, m) according to a degree of belief /spl mu//sub Rk/. Experimental results indicate increased improvements in signal-to-noise ratios of corrupted images using the proposed method. |
| Starting Page | 2690 |
| Ending Page | 2693 |
| File Size | 501880 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780355296 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.1999.833503 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-07-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wiener filter Image restoration Fuzzy neural networks Fuzzy logic Image processing Statistics Fuzzy set theory Signal resolution Image resolution Clustering algorithms |
| Content Type | Text |
| Resource Type | Article |
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