Deconvolutional filter design for image restoration
This thesis presents a novel blind image deconvolution (or restoration) system, which comprises a modified Maximum Likelihood (ML) blur identification, a Reduced Order Model (ROM) Kalman restoration filter and two post-restoration image improvement techniques.
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| 格式: | Theses and Dissertations |
| 出版: |
2008
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| 在線閱讀: | http://hdl.handle.net/10356/3449 |
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